From 64fc118b3958d85b147d48368c9c2ca881fdcf2d Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Mon, 24 Dec 2018 01:02:06 +0330 Subject: [PATCH 001/204] fix : requirements bug fixed #84 --- requirements.txt | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/requirements.txt b/requirements.txt index 79261d4d..b851fe56 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,5 +1,5 @@ -codecov==2.0.15 +codecov>=2.0.15 art>0.7 requests>=2.20.0 -pytest==3.10.1 -pytest-cov==2.6.0 +pytest>=3.8.1 +pytest-cov>=2.5.1 From a536e5e56822f4b28e1a486ce74f9250dad8efaf Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Mon, 24 Dec 2018 01:04:49 +0330 Subject: [PATCH 002/204] fix : dev-requirements added #84 --- dev-requirements.txt | 6 ++++++ 1 file changed, 6 insertions(+) create mode 100644 dev-requirements.txt diff --git a/dev-requirements.txt b/dev-requirements.txt new file mode 100644 index 00000000..8ad8c552 --- /dev/null +++ b/dev-requirements.txt @@ -0,0 +1,6 @@ +codecov==2.0.15 +art==2.7 +requests==2.21.0 +pytest==4.0.2 +pytest-cov==2.6.0 +setuptools==40.6.3 \ No newline at end of file From b0d72107ecf589ab2199f6b9092fc9737745f9ce Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Mon, 24 Dec 2018 01:05:48 +0330 Subject: [PATCH 003/204] fix : travis and appveyor requirements part updated --- .travis.yml | 2 +- appveyor.yml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.travis.yml b/.travis.yml index f0d1ee6a..3a3aa487 100644 --- a/.travis.yml +++ b/.travis.yml @@ -8,7 +8,7 @@ python: - 3.4 install: - - pip install -r requirements.txt + - pip install -r dev-requirements.txt - python setup.py install script: diff --git a/appveyor.yml b/appveyor.yml index 616ad7c4..c3c640f9 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -26,7 +26,7 @@ init: - "ECHO %PYTHON% %PYTHON_VERSION% %PYTHON_ARCH%" install: - - "%PYTHON%/Scripts/pip.exe install -r requirements.txt" + - "%PYTHON%/Scripts/pip.exe install -r dev-requirements.txt" - "%PYTHON%/python.exe setup.py install" test_script: From 82ba1dbebc203debe8acd7873df0cc2cfe42213f Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Mon, 24 Dec 2018 01:14:17 +0330 Subject: [PATCH 004/204] fix : osx added to travis #86 --- .travis.yml | 24 ++++++++++++++++++++---- 1 file changed, 20 insertions(+), 4 deletions(-) diff --git a/.travis.yml b/.travis.yml index 3a3aa487..3e661f34 100644 --- a/.travis.yml +++ b/.travis.yml @@ -2,10 +2,26 @@ sudo: true language: python -python: - - 3.6 - - 3.5 - - 3.4 +matrix: + include: + - os: linux + sudo: required + python: 3.6 + - os: linux + sudo: required + python: 3.5 + - os: linux + sudo: required + python: 3.4 + - os: osx + language: generic + env: TOXENV=py36 + - os: osx + language: generic + env: TOXENV=py35 + - os: osx + language: generic + env: TOXENV=py34 install: - pip install -r dev-requirements.txt From 1ca5df7b015d09d1c7799bc4adf03c1706c6c739 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Mon, 24 Dec 2018 01:21:45 +0330 Subject: [PATCH 005/204] fix : Python 3.7 added to travis and appveyor #85 --- .travis.yml | 12 +++--------- appveyor.yml | 8 ++++++++ 2 files changed, 11 insertions(+), 9 deletions(-) diff --git a/.travis.yml b/.travis.yml index 3e661f34..baa7383b 100644 --- a/.travis.yml +++ b/.travis.yml @@ -4,6 +4,9 @@ language: python matrix: include: + - os: linux + sudo: required + python: 3.7 - os: linux sudo: required python: 3.6 @@ -13,15 +16,6 @@ matrix: - os: linux sudo: required python: 3.4 - - os: osx - language: generic - env: TOXENV=py36 - - os: osx - language: generic - env: TOXENV=py35 - - os: osx - language: generic - env: TOXENV=py34 install: - pip install -r dev-requirements.txt diff --git a/appveyor.yml b/appveyor.yml index c3c640f9..4a9b1121 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -21,6 +21,14 @@ environment: - PYTHON: "C:\\Python36" PYTHON_VERSION: "3.6.0" PYTHON_ARCH: "64" + + - PYTHON: "C:\\Python37" + PYTHON_VERSION: "3.7.0" + PYTHON_ARCH: "64" + + - PYTHON: "C:\\Python37" + PYTHON_VERSION: "3.7.0" + PYTHON_ARCH: "32" init: - "ECHO %PYTHON% %PYTHON_VERSION% %PYTHON_ARCH%" From d354b4f130eab017280b57a793d49290af72564a Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Mon, 24 Dec 2018 01:30:09 +0330 Subject: [PATCH 006/204] fix : minor edit in travis config #85 --- .travis.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.travis.yml b/.travis.yml index baa7383b..79a1beb9 100644 --- a/.travis.yml +++ b/.travis.yml @@ -7,6 +7,7 @@ matrix: - os: linux sudo: required python: 3.7 + dist: xenial - os: linux sudo: required python: 3.6 From f15321c56fa0c29c5437594c2b1e9a46dab8fd93 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Mon, 24 Dec 2018 01:33:39 +0330 Subject: [PATCH 007/204] fix : osx added to travis again #86 --- .travis.yml | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/.travis.yml b/.travis.yml index 79a1beb9..2d94c1dd 100644 --- a/.travis.yml +++ b/.travis.yml @@ -17,6 +17,18 @@ matrix: - os: linux sudo: required python: 3.4 + - os: osx + language: generic + env: TOXENV=py37 + - os: osx + language: generic + env: TOXENV=py36 + - os: osx + language: generic + env: TOXENV=py35 + - os: osx + language: generic + env: TOXENV=py34 install: - pip install -r dev-requirements.txt From 716f4d43087c8c3fce9a8c4f58b0e57e374b0d89 Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Mon, 24 Dec 2018 13:45:38 +0330 Subject: [PATCH 008/204] add install script for travis --- .travis/install.sh | 10 ++++++++++ 1 file changed, 10 insertions(+) create mode 100644 .travis/install.sh diff --git a/.travis/install.sh b/.travis/install.sh new file mode 100644 index 00000000..afe76d79 --- /dev/null +++ b/.travis/install.sh @@ -0,0 +1,10 @@ +PIP=`which pip || (python --version 2>&1 | grep -q 'Python 2' && which pip2) || (python --version 2>&1 | grep -q 'Python 3' && which pip3)` + +# Install Python3 on osx +if [ "$TRAVIS_OS_NAME" = "osx" ] && [ ! -z "$TOXENV" ] +then + $PIP install --user -U tox + brew install python3 + exit 0 +fi + From a7973fa06999f5cbe8de80a9d15224da645582bf Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Mon, 24 Dec 2018 13:47:48 +0330 Subject: [PATCH 009/204] add running install script to .travis.yaml --- .travis.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index 2d94c1dd..b0512330 100644 --- a/.travis.yml +++ b/.travis.yml @@ -31,10 +31,11 @@ matrix: env: TOXENV=py34 install: + - bash .travis/install.sh - pip install -r dev-requirements.txt - python setup.py install script: - python -m pytest opem/Test --cov=opem --cov-report=term after_success: - - codecov \ No newline at end of file + - codecov From 0c4ca4b78c3379bba8fba1da0980ce807f630412 Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Mon, 24 Dec 2018 14:12:24 +0330 Subject: [PATCH 010/204] use pyenv for diffrent versions --- .travis/install.sh | 34 +++++++++++++++++++++++++++------- 1 file changed, 27 insertions(+), 7 deletions(-) diff --git a/.travis/install.sh b/.travis/install.sh index afe76d79..62c53383 100644 --- a/.travis/install.sh +++ b/.travis/install.sh @@ -1,10 +1,30 @@ +#!/bin/bash + PIP=`which pip || (python --version 2>&1 | grep -q 'Python 2' && which pip2) || (python --version 2>&1 | grep -q 'Python 3' && which pip3)` -# Install Python3 on osx -if [ "$TRAVIS_OS_NAME" = "osx" ] && [ ! -z "$TOXENV" ] -then - $PIP install --user -U tox - brew install python3 - exit 0 -fi +if [[ $TRAVIS_OS_NAME == 'osx' ]]; then + brew install pyenv >> /dev/null + + case "${TOXENV}" in + py34) + pyenv install 3.4.9 + pyenv global 3.4.9 + ;; + py35) + pyenv install 3.5.6 + pyenv global 3.5.6 + ;; + py36) + pyenv install 3.6.7 + pyenv global 3.6.7 + ;; + py37) + pyenv install 3.7.1 + pyenv global 3.7.1 + ;; + *) + brew upgrade python + ;; + esac +fi From 04876514bf0b55a4901aeed2badbda36a31276e4 Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Mon, 24 Dec 2018 14:21:15 +0330 Subject: [PATCH 011/204] upgrade pyenv to fix missing versions --- .travis/install.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.travis/install.sh b/.travis/install.sh index 62c53383..a0f24533 100644 --- a/.travis/install.sh +++ b/.travis/install.sh @@ -5,7 +5,7 @@ PIP=`which pip || (python --version 2>&1 | grep -q 'Python 2' && which pip2) || if [[ $TRAVIS_OS_NAME == 'osx' ]]; then brew install pyenv >> /dev/null - + brew update && brew upgrade pyenv case "${TOXENV}" in py34) pyenv install 3.4.9 From dd239216b718df0bf8b95a987d9efc8595807665 Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Mon, 24 Dec 2018 14:35:01 +0330 Subject: [PATCH 012/204] which? --- .travis.yml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.travis.yml b/.travis.yml index b0512330..64cbe90f 100644 --- a/.travis.yml +++ b/.travis.yml @@ -32,10 +32,13 @@ matrix: install: - bash .travis/install.sh + - which pip - pip install -r dev-requirements.txt + - which python - python setup.py install script: + - which python - python -m pytest opem/Test --cov=opem --cov-report=term after_success: - codecov From 160b8692b15d89f667bd2d0016dbfa0e82b8415f Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 01:18:43 +0330 Subject: [PATCH 013/204] Update install.sh --- .travis/install.sh | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.travis/install.sh b/.travis/install.sh index a0f24533..24ab3517 100644 --- a/.travis/install.sh +++ b/.travis/install.sh @@ -4,8 +4,7 @@ PIP=`which pip || (python --version 2>&1 | grep -q 'Python 2' && which pip2) || if [[ $TRAVIS_OS_NAME == 'osx' ]]; then - brew install pyenv >> /dev/null - brew update && brew upgrade pyenv + pyenv install -l case "${TOXENV}" in py34) pyenv install 3.4.9 From 595cfd7073f83853375c8bb142fdf882fc3d3b6d Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 01:19:04 +0330 Subject: [PATCH 014/204] Update .travis.yml --- .travis.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.travis.yml b/.travis.yml index 64cbe90f..a8b046c2 100644 --- a/.travis.yml +++ b/.travis.yml @@ -32,9 +32,9 @@ matrix: install: - bash .travis/install.sh - - which pip + - which pip3 - pip install -r dev-requirements.txt - - which python + - which python3 - python setup.py install script: From f70bb35bffe8866359b05dc8df6a8e742c0aa8a8 Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 01:21:50 +0330 Subject: [PATCH 015/204] Update install.sh --- .travis/install.sh | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/.travis/install.sh b/.travis/install.sh index 24ab3517..fcdf9cff 100644 --- a/.travis/install.sh +++ b/.travis/install.sh @@ -7,20 +7,20 @@ if [[ $TRAVIS_OS_NAME == 'osx' ]]; then pyenv install -l case "${TOXENV}" in py34) - pyenv install 3.4.9 - pyenv global 3.4.9 + pyenv install 3.4.8 + pyenv global 3.4.8 ;; py35) - pyenv install 3.5.6 - pyenv global 3.5.6 + pyenv install 3.5.5 + pyenv global 3.5.5 ;; py36) - pyenv install 3.6.7 - pyenv global 3.6.7 + pyenv install 3.6.5 + pyenv global 3.6.5 ;; py37) - pyenv install 3.7.1 - pyenv global 3.7.1 + pyenv install 3.7.0b3 + pyenv global 3.7.0b3 ;; *) brew upgrade python From ec380977d63b3c6d41b8d18bbd7534162d1c3671 Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 01:36:59 +0330 Subject: [PATCH 016/204] Update .travis.yml --- .travis.yml | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/.travis.yml b/.travis.yml index a8b046c2..cbc118e7 100644 --- a/.travis.yml +++ b/.travis.yml @@ -32,10 +32,11 @@ matrix: install: - bash .travis/install.sh - - which pip3 - - pip install -r dev-requirements.txt - - which python3 - - python setup.py install + - if [[ $TRAVIS_OS_NAME == 'linux' ]]; then pip install -r dev-requirements.txt ; fi + - if [[ $TRAVIS_OS_NAME == 'osx' ]]; then pip3 install -r dev-requirements.txt ; fi + - python3 --version + - if [[ $TRAVIS_OS_NAME == 'linux' ]]; then python setup.py install ; fi + - if [[ $TRAVIS_OS_NAME == 'osx' ]]; then python3 setup.py install ; fi script: - which python From edea8eb2797bc0971b6e1e3a1a773fa6ca6551e8 Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 02:07:46 +0330 Subject: [PATCH 017/204] add tox.ini file --- tox.ini | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) create mode 100644 tox.ini diff --git a/tox.ini b/tox.ini new file mode 100644 index 00000000..ff1e01a3 --- /dev/null +++ b/tox.ini @@ -0,0 +1,18 @@ +[tox] +envlist = py{34,35,36,37,38}-{linux_,osx} + + +[testenv] +description = "OPEM Unit Tests" +deps = pytest -rrequirements.txt + + + +platform = + linux_: linux + osx: darwin + +changedir=opem/Test +commands= + linux_: pytest {posargs} + osx: pytest {posargs} \ No newline at end of file From adafd30ea168f395ad1ec54e0f240bf29863d6b9 Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 02:08:06 +0330 Subject: [PATCH 018/204] add test script for travis --- .travis/test.sh | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 .travis/test.sh diff --git a/.travis/test.sh b/.travis/test.sh new file mode 100644 index 00000000..f2877cea --- /dev/null +++ b/.travis/test.sh @@ -0,0 +1,5 @@ +#!/bin/bash +# Dump Environment (so that we can check PATH, UT_FLAGS, etc.) +set + +tox -- --cov=opem --cov-report=term \ No newline at end of file From 57d3ed8b3ffaafed5512d56b1712b9e37c8b5b9d Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 02:08:31 +0330 Subject: [PATCH 019/204] update .travis.yml to use tox --- .travis.yml | 32 ++++++++++++++++++-------------- 1 file changed, 18 insertions(+), 14 deletions(-) diff --git a/.travis.yml b/.travis.yml index cbc118e7..4578734e 100644 --- a/.travis.yml +++ b/.travis.yml @@ -7,39 +7,43 @@ matrix: - os: linux sudo: required python: 3.7 + env: TOXENV=py37-linux dist: xenial + - os: linux sudo: required python: 3.6 + env: TOXENV=py36-linux + - os: linux sudo: required python: 3.5 + env: TOXENV=py35-linux + - os: linux sudo: required python: 3.4 + env: TOXENV=py34-linux + - os: osx language: generic - env: TOXENV=py37 + env: TOXENV=py37-osx + - os: osx language: generic - env: TOXENV=py36 + env: TOXENV=py36-osx + - os: osx language: generic - env: TOXENV=py35 + env: TOXENV=py35-osx + - os: osx language: generic - env: TOXENV=py34 + env: TOXENV=py34-osx + +install: bash .travis/install.sh -install: - - bash .travis/install.sh - - if [[ $TRAVIS_OS_NAME == 'linux' ]]; then pip install -r dev-requirements.txt ; fi - - if [[ $TRAVIS_OS_NAME == 'osx' ]]; then pip3 install -r dev-requirements.txt ; fi - - python3 --version - - if [[ $TRAVIS_OS_NAME == 'linux' ]]; then python setup.py install ; fi - - if [[ $TRAVIS_OS_NAME == 'osx' ]]; then python3 setup.py install ; fi +script: bash .travis/test.sh -script: - - which python - - python -m pytest opem/Test --cov=opem --cov-report=term after_success: - codecov From 6319c3d1e9ba615c024b20fc814c4d78c4235100 Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 02:08:41 +0330 Subject: [PATCH 020/204] update install script to install tox --- .travis/install.sh | 31 +++++-------------------------- 1 file changed, 5 insertions(+), 26 deletions(-) diff --git a/.travis/install.sh b/.travis/install.sh index fcdf9cff..02184eab 100644 --- a/.travis/install.sh +++ b/.travis/install.sh @@ -1,29 +1,8 @@ #!/bin/bash - -PIP=`which pip || (python --version 2>&1 | grep -q 'Python 2' && which pip2) || (python --version 2>&1 | grep -q 'Python 3' && which pip3)` - if [[ $TRAVIS_OS_NAME == 'osx' ]]; then - - pyenv install -l - case "${TOXENV}" in - py34) - pyenv install 3.4.8 - pyenv global 3.4.8 - ;; - py35) - pyenv install 3.5.5 - pyenv global 3.5.5 - ;; - py36) - pyenv install 3.6.5 - pyenv global 3.6.5 - ;; - py37) - pyenv install 3.7.0b3 - pyenv global 3.7.0b3 - ;; - *) - brew upgrade python - ;; - esac + pip3 install tox + exit 0 fi + +# Make sure tox is installed and up to date +pip install -U tox \ No newline at end of file From 637909b4c37ca8efa908b603e08b6545943ea82f Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 02:10:40 +0330 Subject: [PATCH 021/204] fix typo --- tox.ini | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tox.ini b/tox.ini index ff1e01a3..d52c2948 100644 --- a/tox.ini +++ b/tox.ini @@ -1,5 +1,5 @@ [tox] -envlist = py{34,35,36,37,38}-{linux_,osx} +envlist = py{34,35,36,37,38}-{linux,osx} [testenv] @@ -9,10 +9,10 @@ deps = pytest -rrequirements.txt platform = - linux_: linux + linux: linux osx: darwin changedir=opem/Test commands= - linux_: pytest {posargs} + linux: pytest {posargs} osx: pytest {posargs} \ No newline at end of file From 482fdf2729fbfb90b8cd6ee9c7022be8903d172f Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 02:21:29 +0330 Subject: [PATCH 022/204] fix version and deps --- .travis.yml | 16 ++++++++-------- tox.ini | 5 +++-- 2 files changed, 11 insertions(+), 10 deletions(-) diff --git a/.travis.yml b/.travis.yml index 4578734e..c4af33c9 100644 --- a/.travis.yml +++ b/.travis.yml @@ -4,11 +4,11 @@ language: python matrix: include: - - os: linux - sudo: required - python: 3.7 - env: TOXENV=py37-linux - dist: xenial + # - os: linux + # sudo: required + # python: 3.7 + # env: TOXENV=py37-linux + # dist: xenial - os: linux sudo: required @@ -25,9 +25,9 @@ matrix: python: 3.4 env: TOXENV=py34-linux - - os: osx - language: generic - env: TOXENV=py37-osx + # - os: osx + # language: generic + # env: TOXENV=py37-osx - os: osx language: generic diff --git a/tox.ini b/tox.ini index d52c2948..f2ef9ec6 100644 --- a/tox.ini +++ b/tox.ini @@ -1,10 +1,11 @@ [tox] -envlist = py{34,35,36,37,38}-{linux,osx} +envlist = py{34,35,36}-{linux,osx} [testenv] description = "OPEM Unit Tests" -deps = pytest -rrequirements.txt +deps = pytest + -rrequirements.txt From 4a76372f2066b170d9557fdbd5e37287f39fd814 Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 02:25:07 +0330 Subject: [PATCH 023/204] fix requirements --- .travis/install.sh | 3 ++- tox.ini | 1 - 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.travis/install.sh b/.travis/install.sh index 02184eab..ecd1886b 100644 --- a/.travis/install.sh +++ b/.travis/install.sh @@ -3,6 +3,7 @@ if [[ $TRAVIS_OS_NAME == 'osx' ]]; then pip3 install tox exit 0 fi - +pip install -r requirements.txt +python setup.py install # Make sure tox is installed and up to date pip install -U tox \ No newline at end of file diff --git a/tox.ini b/tox.ini index f2ef9ec6..13f6fee0 100644 --- a/tox.ini +++ b/tox.ini @@ -5,7 +5,6 @@ envlist = py{34,35,36}-{linux,osx} [testenv] description = "OPEM Unit Tests" deps = pytest - -rrequirements.txt From 19bd23fe954dce325d0c80d942090103604c5841 Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 02:33:47 +0330 Subject: [PATCH 024/204] add codecov to tox --- .travis.yml | 35 ++++++++++++++++------------------- tox.ini | 5 +++-- 2 files changed, 19 insertions(+), 21 deletions(-) diff --git a/.travis.yml b/.travis.yml index c4af33c9..a5aec8b7 100644 --- a/.travis.yml +++ b/.travis.yml @@ -4,26 +4,26 @@ language: python matrix: include: - # - os: linux - # sudo: required - # python: 3.7 - # env: TOXENV=py37-linux - # dist: xenial + - os: linux + sudo: required + python: 3.7 + env: TOXENV=py37-linux,codecov + dist: xenial - os: linux sudo: required python: 3.6 - env: TOXENV=py36-linux + env: TOXENV=py36-linux,codecov - os: linux sudo: required python: 3.5 - env: TOXENV=py35-linux + env: TOXENV=py35-linux,codecov - os: linux sudo: required python: 3.4 - env: TOXENV=py34-linux + env: TOXENV=py34-linux,codecov # - os: osx # language: generic @@ -31,19 +31,16 @@ matrix: - os: osx language: generic - env: TOXENV=py36-osx - - - os: osx - language: generic - env: TOXENV=py35-osx + env: TOXENV=py36-osx,codecov + + # - os: osx + # language: generic + # env: TOXENV=py35-osx - - os: osx - language: generic - env: TOXENV=py34-osx + # - os: osx + # language: generic + # env: TOXENV=py34-osx install: bash .travis/install.sh script: bash .travis/test.sh - -after_success: - - codecov diff --git a/tox.ini b/tox.ini index 13f6fee0..b55928a6 100644 --- a/tox.ini +++ b/tox.ini @@ -1,10 +1,11 @@ [tox] -envlist = py{34,35,36}-{linux,osx} +envlist = py{34,35,36,37,38}-{linux,osx} [testenv] description = "OPEM Unit Tests" -deps = pytest +deps = pytest + codecov From cdb35428550a790db09b4df299668a8efb62b39a Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 02:48:01 +0330 Subject: [PATCH 025/204] minor fix --- .travis.yml | 25 ++++++++++++++----------- .travis/install.sh | 22 ++++++++++++++++++++++ tox.ini | 2 +- 3 files changed, 37 insertions(+), 12 deletions(-) diff --git a/.travis.yml b/.travis.yml index a5aec8b7..1752d096 100644 --- a/.travis.yml +++ b/.travis.yml @@ -7,35 +7,35 @@ matrix: - os: linux sudo: required python: 3.7 - env: TOXENV=py37-linux,codecov + env: TOXENV=py37-linux dist: xenial - os: linux sudo: required python: 3.6 - env: TOXENV=py36-linux,codecov + env: TOXENV=py36-linux - os: linux sudo: required python: 3.5 - env: TOXENV=py35-linux,codecov + env: TOXENV=py35-linux - os: linux sudo: required python: 3.4 - env: TOXENV=py34-linux,codecov + env: TOXENV=py34-linux - # - os: osx - # language: generic - # env: TOXENV=py37-osx + - os: osx + language: generic + env: TOXENV=py37-osx - os: osx language: generic - env: TOXENV=py36-osx,codecov + env: TOXENV=py36-osx - # - os: osx - # language: generic - # env: TOXENV=py35-osx + - os: osx + language: generic + env: TOXENV=py35-osx # - os: osx # language: generic @@ -44,3 +44,6 @@ matrix: install: bash .travis/install.sh script: bash .travis/test.sh + +after_success: + - codecov diff --git a/.travis/install.sh b/.travis/install.sh index ecd1886b..50d9fb39 100644 --- a/.travis/install.sh +++ b/.travis/install.sh @@ -1,6 +1,28 @@ #!/bin/bash if [[ $TRAVIS_OS_NAME == 'osx' ]]; then pip3 install tox + case "${TOXENV}" in + py34) + pyenv install 3.4.8 + pyenv global 3.4.8 + ;; + py35) + pyenv install 3.5.5 + pyenv global 3.5.5 + ;; + py36) + pyenv install 3.6.5 + pyenv global 3.6.5 + ;; + py37) + pyenv install 3.7.0b3 + pyenv global 3.7.0b3 + ;; + *) + brew upgrade python + ;; + esac + exit 0 fi pip install -r requirements.txt diff --git a/tox.ini b/tox.ini index b55928a6..c351e1e6 100644 --- a/tox.ini +++ b/tox.ini @@ -16,4 +16,4 @@ platform = changedir=opem/Test commands= linux: pytest {posargs} - osx: pytest {posargs} \ No newline at end of file + osx: pytest {posargs} From 6e90635aa8003566e0213d4578018a7342b35ea6 Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 02:50:48 +0330 Subject: [PATCH 026/204] fix --- .travis/install.sh | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/.travis/install.sh b/.travis/install.sh index 50d9fb39..cee9726d 100644 --- a/.travis/install.sh +++ b/.travis/install.sh @@ -2,19 +2,19 @@ if [[ $TRAVIS_OS_NAME == 'osx' ]]; then pip3 install tox case "${TOXENV}" in - py34) + py34-osx) pyenv install 3.4.8 pyenv global 3.4.8 ;; - py35) + py35-osx) pyenv install 3.5.5 pyenv global 3.5.5 ;; - py36) + py36-osx) pyenv install 3.6.5 pyenv global 3.6.5 ;; - py37) + py37-osx) pyenv install 3.7.0b3 pyenv global 3.7.0b3 ;; From 8f11a9a904791be4fecf67625de63730472e2e0b Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Wed, 26 Dec 2018 02:58:24 +0330 Subject: [PATCH 027/204] final --- .travis.yml | 12 ++++++------ .travis/install.sh | 22 ---------------------- 2 files changed, 6 insertions(+), 28 deletions(-) diff --git a/.travis.yml b/.travis.yml index 1752d096..1812384f 100644 --- a/.travis.yml +++ b/.travis.yml @@ -25,17 +25,17 @@ matrix: python: 3.4 env: TOXENV=py34-linux - - os: osx - language: generic - env: TOXENV=py37-osx + # - os: osx + # language: generic + # env: TOXENV=py37-osx - os: osx language: generic env: TOXENV=py36-osx - - os: osx - language: generic - env: TOXENV=py35-osx + # - os: osx + # language: generic + # env: TOXENV=py35-osx # - os: osx # language: generic diff --git a/.travis/install.sh b/.travis/install.sh index cee9726d..ecd1886b 100644 --- a/.travis/install.sh +++ b/.travis/install.sh @@ -1,28 +1,6 @@ #!/bin/bash if [[ $TRAVIS_OS_NAME == 'osx' ]]; then pip3 install tox - case "${TOXENV}" in - py34-osx) - pyenv install 3.4.8 - pyenv global 3.4.8 - ;; - py35-osx) - pyenv install 3.5.5 - pyenv global 3.5.5 - ;; - py36-osx) - pyenv install 3.6.5 - pyenv global 3.6.5 - ;; - py37-osx) - pyenv install 3.7.0b3 - pyenv global 3.7.0b3 - ;; - *) - brew upgrade python - ;; - esac - exit 0 fi pip install -r requirements.txt From ad3e9cd3664f319f2fabc6e394d15c6c27f37b78 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Thu, 27 Dec 2018 14:10:37 +0330 Subject: [PATCH 028/204] feat : Profile.py added --- opem/Profile.py | 41 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 41 insertions(+) create mode 100644 opem/Profile.py diff --git a/opem/Profile.py b/opem/Profile.py new file mode 100644 index 00000000..702edc1c --- /dev/null +++ b/opem/Profile.py @@ -0,0 +1,41 @@ +# -*- coding: utf-8 -*- +from opem.Static.Amphlett import Static_Analysis as Amphlett_Static_Analysis +Test_Vector={"T":343.15,"PH2":1,"PO2":1,"i-start":0,"i-stop":100,"i-step":0.05,"A":50.6,"l":0.0178,"lambda":23,"N":1,"R":0,"JMax":1.5,"B":0.016,"Name":"Test"} +Result = Amphlett_Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) + +from opem.Static.Chamberline_Kim import Static_Analysis as Chamberline_Kim_Static_Analysis +Test_Vector={"A":50.0,"E0":0.982,"b":0.0689,"R":0.328,"m":0.000125,"n":9.45,"N":1,"i-start":1,"i-stop":100,"i-step":0.1,"Name":"Test"} +Result = Chamberline_Kim_Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) + + +from opem.Static.Larminie_Dicks import Static_Analysis as Larminie_Dicks_Static_Analysis +Test_Vector={"A":0.0587,"E0":1.178,"B":0.0517,"RM":0.0018,"i_0":0.00654,"i_L":100.0,"i_n":0.23,"N":23,"i-start":0.1,"i-stop":100,"i-step":0.1,"Name":"Test"} +Result = Larminie_Dicks_Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) + + + + + + + +from opem.Dynamic.Padulles1 import Dynamic_Analysis as Padulles1_Dynamic_Analysis +Test_Vector={"T":343,"E0":0.6,"N0":88,"KO2":0.0000211,"KH2":0.0000422,"tH2":3.37,"tO2":6.74,"B":0.04777,"C":0.0136,"Rint":0.00303,"rho":1.168,"qH2":0.0004,"i-start":0,"i-stop":100,"i-step":0.1, + "Name":"Test"} +Result = Padulles1_Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) + + + +from opem.Dynamic.Padulles2 import Dynamic_Analysis as Padulles2_Dynamic_Analysis +Test_Vector={"T":343,"E0":0.6,"N0":5,"KO2":0.0000211,"KH2":0.0000422,"KH2O":0.000007716,"tH2":3.37,"tO2":6.74,"tH2O":18.418,"B":0.04777,"C":0.0136,"Rint":0.00303,"rho":1.168,"qH2":0.0004, + "i-start":0.1,"i-stop":100,"i-step":0.1,"Name":"Test"} +Result = Padulles2_Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) + + +from opem.Dynamic.Padulles_Hauer import Dynamic_Analysis as Padulles_Hauer_Dynamic_Analysis +Test_Vector={"T":343,"E0":0.6,"N0":5,"KO2":0.0000211,"KH2":0.0000422,"KH2O":0.000007716,"tH2":3.37,"tO2":6.74,"t1":2,"t2":2,"tH2O":18.418,"B":0.04777,"C":0.0136,"Rint":0.00303,"rho":1.168,"qMethanol":0.0002,"CV":2,"i-start":0.1,"i-stop":100,"i-step":0.1,"Name":"Test"} +Result = Padulles_Hauer_Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) + + +from opem.Dynamic.Padulles_Amphlett import Dynamic_Analysis as Padulles_Amphlett_Dynamic_Analysis +Test_Vector={"A":50.6,"l":0.0178,"lambda":23,"JMax":1.5,"T":343,"E0":1.229,"N0":5,"KO2":0.0000211,"KH2":0.0000422,"KH2O":0.000007716,"tH2":3.37,"tO2":6.74,"t1":2,"t2":2,"tH2O":18.418,"B":0.016,"R":0,"rho":1.168,"qMethanol":0.0002,"CV":2,"i-start":0.1,"i-stop":100,"i-step":0.1,"Name":"Test"} +Result = Padulles_Amphlett_Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) \ No newline at end of file From 5485a9cf61a53fd4a7bb998679ad8695021e203f Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Thu, 27 Dec 2018 14:13:27 +0330 Subject: [PATCH 029/204] fix : cprofile mode added to travis --- .travis.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index 1812384f..c7287b89 100644 --- a/.travis.yml +++ b/.travis.yml @@ -43,7 +43,9 @@ matrix: install: bash .travis/install.sh -script: bash .travis/test.sh +script: + - bash .travis/test.sh + - python -m cProfile -s cumtime opem/Profile.py after_success: - codecov From 1e1a7317bc9a389a8e0e6974ccdf07b2dfddbfc4 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Thu, 27 Dec 2018 14:18:17 +0330 Subject: [PATCH 030/204] fix : cprofile removed from travis and added to appveyor --- .travis.yml | 1 - appveyor.yml | 3 ++- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.travis.yml b/.travis.yml index c7287b89..106abf24 100644 --- a/.travis.yml +++ b/.travis.yml @@ -45,7 +45,6 @@ install: bash .travis/install.sh script: - bash .travis/test.sh - - python -m cProfile -s cumtime opem/Profile.py after_success: - codecov diff --git a/appveyor.yml b/appveyor.yml index 4a9b1121..4d4ebdd0 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -38,4 +38,5 @@ install: - "%PYTHON%/python.exe setup.py install" test_script: - - "%PYTHON%/python.exe -m pytest opem/Test --cov=opem --cov-report=term" \ No newline at end of file + - "%PYTHON%/python.exe -m pytest opem/Test --cov=opem --cov-report=term" + - "%PYTHON%/python.exe -m cProfile -s cumtime opem/Profile.py" \ No newline at end of file From e30375b26594821c86aa5040c4d28448d878d6b2 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Thu, 27 Dec 2018 14:31:20 +0330 Subject: [PATCH 031/204] fix : minor edit in Profile.py location --- opem/Profile.py => Profile.py | 0 appveyor.yml | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) rename opem/Profile.py => Profile.py (100%) diff --git a/opem/Profile.py b/Profile.py similarity index 100% rename from opem/Profile.py rename to Profile.py diff --git a/appveyor.yml b/appveyor.yml index 4d4ebdd0..b57a136a 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -39,4 +39,4 @@ install: test_script: - "%PYTHON%/python.exe -m pytest opem/Test --cov=opem --cov-report=term" - - "%PYTHON%/python.exe -m cProfile -s cumtime opem/Profile.py" \ No newline at end of file + - "%PYTHON%/python.exe -m cProfile -s cumtime Profile.py" \ No newline at end of file From 4ac43a67fbbfa44252f10d6b4faa2acc0e224fce Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Thu, 27 Dec 2018 14:41:25 +0330 Subject: [PATCH 032/204] fix : minor edit in Profile.py threshold --- appveyor.yml | 2 +- Profile.py => opem/Profile.py | 16 +++++++++------- 2 files changed, 10 insertions(+), 8 deletions(-) rename Profile.py => opem/Profile.py (77%) diff --git a/appveyor.yml b/appveyor.yml index b57a136a..4d4ebdd0 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -39,4 +39,4 @@ install: test_script: - "%PYTHON%/python.exe -m pytest opem/Test --cov=opem --cov-report=term" - - "%PYTHON%/python.exe -m cProfile -s cumtime Profile.py" \ No newline at end of file + - "%PYTHON%/python.exe -m cProfile -s cumtime opem/Profile.py" \ No newline at end of file diff --git a/Profile.py b/opem/Profile.py similarity index 77% rename from Profile.py rename to opem/Profile.py index 702edc1c..61d9e08f 100644 --- a/Profile.py +++ b/opem/Profile.py @@ -1,15 +1,15 @@ # -*- coding: utf-8 -*- from opem.Static.Amphlett import Static_Analysis as Amphlett_Static_Analysis -Test_Vector={"T":343.15,"PH2":1,"PO2":1,"i-start":0,"i-stop":100,"i-step":0.05,"A":50.6,"l":0.0178,"lambda":23,"N":1,"R":0,"JMax":1.5,"B":0.016,"Name":"Test"} +Test_Vector={"T":343.15,"PH2":1,"PO2":1,"i-start":0,"i-stop":100,"i-step":0.005,"A":50.6,"l":0.0178,"lambda":23,"N":1,"R":0,"JMax":1.5,"B":0.016,"Name":"Test"} Result = Amphlett_Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) from opem.Static.Chamberline_Kim import Static_Analysis as Chamberline_Kim_Static_Analysis -Test_Vector={"A":50.0,"E0":0.982,"b":0.0689,"R":0.328,"m":0.000125,"n":9.45,"N":1,"i-start":1,"i-stop":100,"i-step":0.1,"Name":"Test"} +Test_Vector={"A":50.0,"E0":0.982,"b":0.0689,"R":0.328,"m":0.000125,"n":9.45,"N":1,"i-start":1,"i-stop":100,"i-step":0.005,"Name":"Test"} Result = Chamberline_Kim_Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) from opem.Static.Larminie_Dicks import Static_Analysis as Larminie_Dicks_Static_Analysis -Test_Vector={"A":0.0587,"E0":1.178,"B":0.0517,"RM":0.0018,"i_0":0.00654,"i_L":100.0,"i_n":0.23,"N":23,"i-start":0.1,"i-stop":100,"i-step":0.1,"Name":"Test"} +Test_Vector={"A":0.0587,"E0":1.178,"B":0.0517,"RM":0.0018,"i_0":0.00654,"i_L":100.0,"i_n":0.23,"N":23,"i-start":0.1,"i-stop":80,"i-step":0.005,"Name":"Test"} Result = Larminie_Dicks_Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) @@ -19,7 +19,7 @@ from opem.Dynamic.Padulles1 import Dynamic_Analysis as Padulles1_Dynamic_Analysis -Test_Vector={"T":343,"E0":0.6,"N0":88,"KO2":0.0000211,"KH2":0.0000422,"tH2":3.37,"tO2":6.74,"B":0.04777,"C":0.0136,"Rint":0.00303,"rho":1.168,"qH2":0.0004,"i-start":0,"i-stop":100,"i-step":0.1, +Test_Vector={"T":343,"E0":0.6,"N0":88,"KO2":0.0000211,"KH2":0.0000422,"tH2":3.37,"tO2":6.74,"B":0.04777,"C":0.0136,"Rint":0.00303,"rho":1.168,"qH2":0.0004,"i-start":0,"i-stop":100,"i-step":0.005, "Name":"Test"} Result = Padulles1_Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) @@ -27,15 +27,17 @@ from opem.Dynamic.Padulles2 import Dynamic_Analysis as Padulles2_Dynamic_Analysis Test_Vector={"T":343,"E0":0.6,"N0":5,"KO2":0.0000211,"KH2":0.0000422,"KH2O":0.000007716,"tH2":3.37,"tO2":6.74,"tH2O":18.418,"B":0.04777,"C":0.0136,"Rint":0.00303,"rho":1.168,"qH2":0.0004, - "i-start":0.1,"i-stop":100,"i-step":0.1,"Name":"Test"} + "i-start":0.1,"i-stop":100,"i-step":0.005,"Name":"Test"} Result = Padulles2_Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) from opem.Dynamic.Padulles_Hauer import Dynamic_Analysis as Padulles_Hauer_Dynamic_Analysis -Test_Vector={"T":343,"E0":0.6,"N0":5,"KO2":0.0000211,"KH2":0.0000422,"KH2O":0.000007716,"tH2":3.37,"tO2":6.74,"t1":2,"t2":2,"tH2O":18.418,"B":0.04777,"C":0.0136,"Rint":0.00303,"rho":1.168,"qMethanol":0.0002,"CV":2,"i-start":0.1,"i-stop":100,"i-step":0.1,"Name":"Test"} +Test_Vector={"T":343,"E0":0.6,"N0":5,"KO2":0.0000211,"KH2":0.0000422,"KH2O":0.000007716,"tH2":3.37,"tO2":6.74,"t1":2,"t2":2,"tH2O":18.418,"B":0.04777,"C":0.0136,"Rint":0.00303,"rho":1.168, + "qMethanol":0.0002,"CV":2,"i-start":0.1,"i-stop":100,"i-step":0.005,"Name":"Test"} Result = Padulles_Hauer_Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) from opem.Dynamic.Padulles_Amphlett import Dynamic_Analysis as Padulles_Amphlett_Dynamic_Analysis -Test_Vector={"A":50.6,"l":0.0178,"lambda":23,"JMax":1.5,"T":343,"E0":1.229,"N0":5,"KO2":0.0000211,"KH2":0.0000422,"KH2O":0.000007716,"tH2":3.37,"tO2":6.74,"t1":2,"t2":2,"tH2O":18.418,"B":0.016,"R":0,"rho":1.168,"qMethanol":0.0002,"CV":2,"i-start":0.1,"i-stop":100,"i-step":0.1,"Name":"Test"} +Test_Vector={"A":50.6,"l":0.0178,"lambda":23,"JMax":1.5,"T":343,"E0":1.229,"N0":5,"KO2":0.0000211,"KH2":0.0000422,"KH2O":0.000007716,"tH2":3.37,"tO2":6.74,"t1":2,"t2":2,"tH2O":18.418,"B":0.016, + "R":0,"rho":1.168,"qMethanol":0.0002,"CV":2,"i-start":0.1,"i-stop":73,"i-step":0.005,"Name":"Test"} Result = Padulles_Amphlett_Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) \ No newline at end of file From 41b8ef2407dd0cd353f6567e61ab5a3050162810 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Thu, 27 Dec 2018 14:49:43 +0330 Subject: [PATCH 033/204] doc : tables added to README --- README.md | 36 +++++++++++++++++++++++++++++++++++- 1 file changed, 35 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index f0c7bd3b..3b8fce8f 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,6 @@ PyPI version - @@ -40,13 +39,48 @@

Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work as a powerful tool in the Research & development of renewable energy sources. The Open-Source PEMFC Simulation Tool (OPEM) is a modeling tool for evaluating the performance of proton exchange membrane fuel cells. This package is a combination of models (static/dynamic) that predict the optimum operating parameters of PEMFC. OPEM contained generic models that will accept as input, not only values of the operating variables such as anode and cathode feed gas, pressure and compositions, cell temperature and current density, but also cell parameters including the active area and membrane thickness. In addition, some of the different models of PEMFC that have been proposed in the OPEM, just focus on one particular FC stack, and some others take into account a part or all auxiliaries such as reformers. OPEM is a platform for collaborative development of PEMFC models.

+

Fig1. OPEM Block Diagram

+
+ + + + + + + + + + + + + +
Open Hub
PyPI Counter
Github Stars
+ + + + + + + + + + + + + + + + + +
Branchmasterdevelop
Travis
AppVeyor
+ ## Usage From 008b4e7bcf3e825087312d3ca949cd2312e5ce84 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Thu, 27 Dec 2018 14:50:43 +0330 Subject: [PATCH 034/204] doc : README badges section updated --- README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/README.md b/README.md index 3b8fce8f..20dacce5 100644 --- a/README.md +++ b/README.md @@ -2,8 +2,6 @@
built with Python3 - - From 26474879c8065e4f16ab76c9ac451b5ab4a5bbee Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 02:18:10 +0330 Subject: [PATCH 035/204] fix : built-in file renamed to InputFile in Output_Save --- opem/Functions.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/opem/Functions.py b/opem/Functions.py index 280712e2..2635f323 100644 --- a/opem/Functions.py +++ b/opem/Functions.py @@ -236,7 +236,7 @@ def Output_Save( OutputDict, OutputParams, i, - file, + InputFile, PrintMode): """ This function write analysis result in Simulation-Result.opem file @@ -248,17 +248,17 @@ def Output_Save( :type OutputParams : dict :param i: cell load current [A] :type i : float - :param file : file object + :param InputFile : file object :return: None """ spliter = "\n" if 'win' not in sys.platform: spliter = "\r\n" - file.write("I :" + str(i) + " A " + spliter * 2) + InputFile.write("I :" + str(i) + " A " + spliter * 2) if PrintMode: print("I : " + str(i)) for key in OutputParamsKeys: - file.write(key + + InputFile.write(key + " : " + str(OutputDict[key]) + " " + @@ -270,7 +270,7 @@ def Output_Save( str(OutputDict[key]) + " " + OutputParams[key]) - file.write("###########" + spliter) + InputFile.write("###########" + spliter) if PrintMode: print("###########") From b52a06f53e8d993aad623af4f4ec6e6e64c1dfae Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 02:19:48 +0330 Subject: [PATCH 036/204] fix : built-in file renamed to opem_file in Output_Init --- opem/Functions.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/opem/Functions.py b/opem/Functions.py index 2635f323..2bb33caa 100644 --- a/opem/Functions.py +++ b/opem/Functions.py @@ -290,19 +290,19 @@ def Output_Init(InputDict, Title, Name): Art = text2art("Opem") if Title not in os.listdir(os.getcwd()): os.mkdir(Title) - file = open(os.path.join(Title, Name + ".opem"), "w") - file.write(Art) - file.write("Simulation Date : " + + opem_file = open(os.path.join(Title, Name + ".opem"), "w") + opem_file.write(Art) + opem_file.write("Simulation Date : " + str(datetime.datetime.now()) + spliter) - file.write("**********" + spliter) - file.write(Title + " Model" + spliter * 2) - file.write("**********" + spliter) - file.write("Simulation Inputs : " + spliter * 2) + opem_file.write("**********" + spliter) + opem_file.write(Title + " Model" + spliter * 2) + opem_file.write("**********" + spliter) + opem_file.write("Simulation Inputs : " + spliter * 2) Input_Keys = sorted(InputDict.keys()) for key in Input_Keys: - file.write(key + " : " + str(InputDict[key]) + spliter) - file.write("**********" + spliter) - return file + opem_file.write(key + " : " + str(InputDict[key]) + spliter) + opem_file.write("**********" + spliter) + return opem_file def CSV_Init(OutputParamsKeys, OutputParams, Title, Name): From de6b33d1064137ca0c4e5d97a0df437af4d7d1b9 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 02:20:46 +0330 Subject: [PATCH 037/204] fix : built_in file renamed to csv_file in CSV_Init --- opem/Functions.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/opem/Functions.py b/opem/Functions.py index 2bb33caa..7c473b56 100644 --- a/opem/Functions.py +++ b/opem/Functions.py @@ -316,14 +316,14 @@ def CSV_Init(OutputParamsKeys, OutputParams, Title, Name): """ if Title not in os.listdir(os.getcwd()): os.mkdir(Title) - file = open(os.path.join(Title, Name + ".csv"), "w") - file.write("I (A),") + csv_file = open(os.path.join(Title, Name + ".csv"), "w") + csv_file.write("I (A),") for index, item in enumerate(OutputParamsKeys): - file.write(item + " (" + OutputParams[item] + ")") + csv_file.write(item + " (" + OutputParams[item] + ")") if index < len(OutputParamsKeys) - 1: - file.write(",") - file.write("\n") - return file + csv_file.write(",") + csv_file.write("\n") + return csv_file def None_Omit(Input_Str): From 2addecae9e72a3d0701c64e4b1bcbbb9121fb3b0 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 02:22:26 +0330 Subject: [PATCH 038/204] fix : built_in file renamed to HTMLFile in HTML_Desc --- opem/Functions.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/opem/Functions.py b/opem/Functions.py index 7c473b56..beb53beb 100644 --- a/opem/Functions.py +++ b/opem/Functions.py @@ -368,19 +368,19 @@ def HTML_Init(Title, Name): return file -def HTML_Desc(Title, Description, file): +def HTML_Desc(Title, Description, HTMLFile): ''' This function write model description in html file :param Title: Simulation title (analysis model) :type Title : str :param Description: Model description :type Description : str - :param file: html file object - :type file : file object + :param HTMLFile: html file object + :type HTMLFile : file object :return: None ''' - file.write('

What is ' + Title + ' ?

\n') - file.write( + HTMLFile.write('

What is ' + Title + ' ?

\n') + HTMLFile.write( '

' + Description + "

\n") From 844fd67c1e017fb1237380141986212dc8dd5730 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 02:24:02 +0330 Subject: [PATCH 039/204] fix : built_in file renamed to HTMLFile in HTML_Chart --- opem/Functions.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/opem/Functions.py b/opem/Functions.py index beb53beb..892d5cd6 100644 --- a/opem/Functions.py +++ b/opem/Functions.py @@ -386,7 +386,7 @@ def HTML_Desc(Title, Description, HTMLFile): "

\n") -def HTML_Chart(x, y, color, x_label, y_label, chart_name, size, file): +def HTML_Chart(x, y, color, x_label, y_label, chart_name, size, HTMLFile): ''' This function write chartjs chart in html file :param x: x data as a string list @@ -400,8 +400,8 @@ def HTML_Chart(x, y, color, x_label, y_label, chart_name, size, file): :param chart_name: chart name (or list of chart_name) :param size: chart size in pixel :type size : str - :param file: html file object - :type file : file object + :param HTMLFile: html file object + :type HTMLFile : file object :return: None ''' chart_data = "" @@ -418,7 +418,7 @@ def HTML_Chart(x, y, color, x_label, y_label, chart_name, size, file): y_data = None_Omit(y) chart_data = opem.Script.CHART_DATA.format(chart_name, y_data, color) x_data = None_Omit(x) - file.write( + HTMLFile.write( opem.Script.LINE_CHART.format( x_data, y_label, From 5420f8ca535a449167bdd53e2195f3fe6cce2b33 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 02:24:53 +0330 Subject: [PATCH 040/204] fix : built_in file renamed to HTMLFile in HTML_Input_Table --- opem/Functions.py | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/opem/Functions.py b/opem/Functions.py index 892d5cd6..30cfab8a 100644 --- a/opem/Functions.py +++ b/opem/Functions.py @@ -428,7 +428,7 @@ def HTML_Chart(x, y, color, x_label, y_label, chart_name, size, HTMLFile): chart_data)) -def HTML_Input_Table(Input_Dict, Input_Params, file): +def HTML_Input_Table(Input_Dict, Input_Params, HTMLFile): ''' This function add table to html file :param Input_Dict: Input values dictionary @@ -439,38 +439,38 @@ def HTML_Input_Table(Input_Dict, Input_Params, file): :type file : file object :return: None ''' - file.write('

Inputs

\n') - file.write( + HTMLFile.write('

Inputs

\n') + HTMLFile.write( '\n') - file.write( + HTMLFile.write( '\n') - file.write( + HTMLFile.write( '") - file.write( + HTMLFile.write( '") - file.write( + HTMLFile.write( '\n\n") Input_Params_Keys = sorted(Input_Params.keys()) for key in Input_Params_Keys: - file.write( + HTMLFile.write( '\n') - file.write( + HTMLFile.write( '\n") - file.write( + HTMLFile.write( '\n") - file.write( + HTMLFile.write( '\n") - file.write("
\n' + "Input\n\n' + "Description\n\n' + "Value\n
\n' + key + "\n\n' + Input_Params[key] + "\n\n' + str( Input_Dict[key]) + "\n
\n") + HTMLFile.write("\n") def HTML_Overall_Params_Table( From ebd0d2df51181cddb2936fb6a5827af9615c8abc Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 02:26:25 +0330 Subject: [PATCH 041/204] fix : built_in file renamed to HTMLFile in HTML_Overall_Params_Table --- opem/Functions.py | 34 +++++++++++++++++----------------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/opem/Functions.py b/opem/Functions.py index 30cfab8a..b2451425 100644 --- a/opem/Functions.py +++ b/opem/Functions.py @@ -435,8 +435,8 @@ def HTML_Input_Table(Input_Dict, Input_Params, HTMLFile): :type Input_Dict : dict :param Input_Params: Input params dictionary :type Input_Params : dict - :param file: html file object - :type file : file object + :param HTMLFile: html file object + :type HTMLFile : file object :return: None ''' HTMLFile.write('

Inputs

\n') @@ -476,7 +476,7 @@ def HTML_Input_Table(Input_Dict, Input_Params, HTMLFile): def HTML_Overall_Params_Table( Input_Dict, Input_Params, - file, + HTMLFile, header=False): ''' This function add table to html file @@ -484,45 +484,45 @@ def HTML_Overall_Params_Table( :type Input_Dict : dict :param Input_Params: Input params dictionary :type Input_Params : dict - :param file: html file object - :type file : file object + :param HTMLFile: html file object + :type HTMLFile : file object :return: None ''' if header: - file.write('

Overall Parameters

\n') - file.write( + HTMLFile.write('

Overall Parameters

\n') + HTMLFile.write( '\n') - file.write( + HTMLFile.write( '\n') - file.write( + HTMLFile.write( '") - file.write( + HTMLFile.write( '") - file.write( + HTMLFile.write( '\n\n") Input_Params_Keys = sorted(Input_Params.keys()) for key in Input_Params_Keys: - file.write( + HTMLFile.write( '\n') - file.write( + HTMLFile.write( '\n") - file.write( + HTMLFile.write( '\n") - file.write( + HTMLFile.write( '\n") - file.write("
\n' + "Parameter\n\n' + "Description\n\n' + "Value\n
\n' + key + "\n\n' + Input_Params[key] + "\n\n' + str( Input_Dict[key]) + "\n
\n") + HTMLFile.write("\n") if header: - file.write('

Graphs

\n') + HTMLFile.write('

Graphs

\n') def HTML_End(file): From 010bc7dfef555ec7612083988750b934ba7bcf7f Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 02:27:01 +0330 Subject: [PATCH 042/204] fix : built_in file renamed to HTMLFile in HTML_End --- opem/Functions.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/opem/Functions.py b/opem/Functions.py index b2451425..4fc05b8f 100644 --- a/opem/Functions.py +++ b/opem/Functions.py @@ -525,20 +525,20 @@ def HTML_Overall_Params_Table( HTMLFile.write('

Graphs

\n') -def HTML_End(file): +def HTML_End(HTMLFile): ''' This function add end part of html file - :param file: html file object - :type file : file object + :param HTMLFile: html file object + :type HTMLFile : file object :return: None ''' - file.write( + HTMLFile.write( '

Generated By ' 'OPEM Version ' + str(Version) + '

\n') - file.write("\n") - file.write("") + HTMLFile.write("\n") + HTMLFile.write("") def CSV_Save(OutputParamsKeys, OutputDict, i, file): From 606b59b9f6302eb407434c4000a7af34aeaf39a3 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 02:27:53 +0330 Subject: [PATCH 043/204] fix : built_in file renamed to CSVFile in CSV_Save --- opem/Functions.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/opem/Functions.py b/opem/Functions.py index 4fc05b8f..eff43705 100644 --- a/opem/Functions.py +++ b/opem/Functions.py @@ -541,7 +541,7 @@ def HTML_End(HTMLFile): HTMLFile.write("") -def CSV_Save(OutputParamsKeys, OutputDict, i, file): +def CSV_Save(OutputParamsKeys, OutputDict, i, CSVFile): """ This Function Save Parameters In CSV File :param OutputParamsKeys : OutputParams Key as list @@ -550,16 +550,16 @@ def CSV_Save(OutputParamsKeys, OutputDict, i, file): :type OutputDict:dict :param i: cell load current [A] :type i : float - :param file : file object + :param CSVFile : file object :return: None :return: None """ - file.write(str(i) + ",") + CSVFile.write(str(i) + ",") for key in OutputParamsKeys: - file.write(str(OutputDict[key])) + CSVFile.write(str(OutputDict[key])) if key != OutputParamsKeys[-1]: - file.write(",") - file.write("\n") + CSVFile.write(",") + CSVFile.write("\n") def filter_lambda(Input_Dict): From d165a3db6e670ae3f9322dac391528de9f15f3c8 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 02:29:01 +0330 Subject: [PATCH 044/204] fix : built_in file renamed to HTMLFile in HTML_Init --- opem/Functions.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/opem/Functions.py b/opem/Functions.py index eff43705..1075b440 100644 --- a/opem/Functions.py +++ b/opem/Functions.py @@ -349,23 +349,23 @@ def HTML_Init(Title, Name): ''' if Title not in os.listdir(os.getcwd()): os.mkdir(Title) - file = io.open( + HTMLFile = io.open( os.path.join( Title, Name + ".html"), "w", encoding="utf-8") - file.write("\n") - file.write("\n") - file.write("" + Name + "\n") - file.write("\n") - file.write("\n\n") - file.write( + HTMLFile.write("\n") + HTMLFile.write("\n") + HTMLFile.write("" + Name + "\n") + HTMLFile.write("\n") + HTMLFile.write("\n\n") + HTMLFile.write( '

' 'OPEM' ' Report (' + Title + " Model)" + '

\n') - return file + return HTMLFile def HTML_Desc(Title, Description, HTMLFile): From f814baa4a70fc97064770005d89ab9393d1f84db Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 02:33:50 +0330 Subject: [PATCH 045/204] fix : add new line at the end of Profile.py --- opem/Profile.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/opem/Profile.py b/opem/Profile.py index 61d9e08f..1172f9f6 100644 --- a/opem/Profile.py +++ b/opem/Profile.py @@ -40,4 +40,4 @@ from opem.Dynamic.Padulles_Amphlett import Dynamic_Analysis as Padulles_Amphlett_Dynamic_Analysis Test_Vector={"A":50.6,"l":0.0178,"lambda":23,"JMax":1.5,"T":343,"E0":1.229,"N0":5,"KO2":0.0000211,"KH2":0.0000422,"KH2O":0.000007716,"tH2":3.37,"tO2":6.74,"t1":2,"t2":2,"tH2O":18.418,"B":0.016, "R":0,"rho":1.168,"qMethanol":0.0002,"CV":2,"i-start":0.1,"i-stop":73,"i-step":0.005,"Name":"Test"} -Result = Padulles_Amphlett_Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) \ No newline at end of file +Result = Padulles_Amphlett_Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True) From d58bfd8728476d8acfedcf997eaf8f5b4025d463 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 02:40:18 +0330 Subject: [PATCH 046/204] fix : Unnecessary elses fixed --- opem/Dynamic/Padulles_Amphlett.py | 6 +----- opem/Functions.py | 15 +++++---------- opem/Static/Amphlett.py | 15 ++++----------- 3 files changed, 10 insertions(+), 26 deletions(-) diff --git a/opem/Dynamic/Padulles_Amphlett.py b/opem/Dynamic/Padulles_Amphlett.py index 5721137a..47bb4ab4 100644 --- a/opem/Dynamic/Padulles_Amphlett.py +++ b/opem/Dynamic/Padulles_Amphlett.py @@ -339,8 +339,4 @@ def Dynamic_Analysis( "Message": "[Error] " + Simulation_Title + " Simulation Failed!(Check Your Inputs)"} - else: - print( - "[Error] " + - Simulation_Title + - " Simulation Failed!(Check Your Inputs)") + print("[Error] " +Simulation_Title +" Simulation Failed!(Check Your Inputs)") diff --git a/opem/Functions.py b/opem/Functions.py index 1075b440..6a3fe692 100644 --- a/opem/Functions.py +++ b/opem/Functions.py @@ -144,8 +144,7 @@ def get_precision(input_number): if "." in input_string: splitted_input = input_string.split(".") return len(splitted_input[1]) - else: - return 0 + return 0 def isfloat(value): @@ -174,8 +173,7 @@ def rounder(input_number, digit=2): try: if isfloat(input_number): return round(input_number, digit) - else: - return input_number + return input_number except Exception: return None @@ -716,8 +714,7 @@ def warning_check_1(Vcell, I_Warning, I, warning_flag): try: if Vcell < 0: return [True, I] - else: - return [False, I] + return [False, I] except Exception: return [False, I] else: @@ -736,10 +733,8 @@ def warning_check_2(Vcell, warning_flag): if not warning_flag: if Vcell is None: return True - else: - return False - else: - return True + return False + return True def warning_print( diff --git a/opem/Static/Amphlett.py b/opem/Static/Amphlett.py index 24b918c8..d7da5c47 100644 --- a/opem/Static/Amphlett.py +++ b/opem/Static/Amphlett.py @@ -227,8 +227,7 @@ def Eta_Conc_Calc(i, A, B, JMax): J = (i / A) result = -B * math.log(1 - (J / JMax)) return result - else: - return 0 + return 0 except (TypeError, ZeroDivisionError, OverflowError, ValueError): print( "[Error] Eta Concentration Calculation Failed (i:%s, A:%s, B:%s, JMax:%s)" % @@ -261,8 +260,7 @@ def Eta_Ohmic_Calc(i, l, A, T, lambda_param, R_elec=None): R_total += R_elec result = i * R_total return result - else: - return 0 + return 0 except (TypeError, ZeroDivisionError): print( "[Error] Eta Ohmic Calculation Failed (i:%s, l:%s, A:%s, T:%s, lambda:%s, R_elec:%s)" % @@ -287,8 +285,7 @@ def Eta_Act_Calc(T, PO2, PH2, i, A): result = -(xi1 + xi2 * T + xi3 * T * math.log(CO2) + xi4 * T * math.log(i)) return result - else: - return 0 + return 0 except (TypeError, OverflowError, ValueError): print( "[Error] Eta Activation Calculation Failed (T:%s, PO2:%s, PH2:%s, i:%s, A:%s)" % @@ -662,8 +659,4 @@ def Static_Analysis( "Message": "[Error] " + Simulation_Title + " Simulation Failed!(Check Your Inputs)"} - else: - print( - "[Error] " + - Simulation_Title + - " Simulation Failed!(Check Your Inputs)") + print("[Error] " +Simulation_Title +" Simulation Failed!(Check Your Inputs)") From cc8b62f72558d97ccc3692e9fe05c726161bebf6 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 02:43:42 +0330 Subject: [PATCH 047/204] fix : Unnecessary elses fixed --- opem/Dynamic/Padulles1.py | 6 +----- opem/Dynamic/Padulles2.py | 6 +----- opem/Dynamic/Padulles_Hauer.py | 6 +----- opem/Static/Chamberline_Kim.py | 6 +----- opem/Static/Larminie_Dicks.py | 6 +----- 5 files changed, 5 insertions(+), 25 deletions(-) diff --git a/opem/Dynamic/Padulles1.py b/opem/Dynamic/Padulles1.py index aa86d5bb..1c6d33cf 100644 --- a/opem/Dynamic/Padulles1.py +++ b/opem/Dynamic/Padulles1.py @@ -402,8 +402,4 @@ def Dynamic_Analysis( "Message": "[Error] " + Simulation_Title + " Simulation Failed!(Check Your Inputs)"} - else: - print( - "[Error] " + - Simulation_Title + - " Simulation Failed!(Check Your Inputs)") + print("[Error] " +Simulation_Title +" Simulation Failed!(Check Your Inputs)") diff --git a/opem/Dynamic/Padulles2.py b/opem/Dynamic/Padulles2.py index 5e4e0f20..6b7efe5d 100644 --- a/opem/Dynamic/Padulles2.py +++ b/opem/Dynamic/Padulles2.py @@ -324,8 +324,4 @@ def Dynamic_Analysis( "Message": "[Error] " + Simulation_Title + " Simulation Failed!(Check Your Inputs)"} - else: - print( - "[Error] " + - Simulation_Title + - " Simulation Failed!(Check Your Inputs)") + print("[Error] " +Simulation_Title +" Simulation Failed!(Check Your Inputs)") diff --git a/opem/Dynamic/Padulles_Hauer.py b/opem/Dynamic/Padulles_Hauer.py index 1aa4e2a9..4fefe2ae 100644 --- a/opem/Dynamic/Padulles_Hauer.py +++ b/opem/Dynamic/Padulles_Hauer.py @@ -301,8 +301,4 @@ def Dynamic_Analysis( "Message": "[Error] " + Simulation_Title + " Simulation Failed!(Check Your Inputs)"} - else: - print( - "[Error] " + - Simulation_Title + - " Simulation Failed!(Check Your Inputs)") + print("[Error] " +Simulation_Title +" Simulation Failed!(Check Your Inputs)") diff --git a/opem/Static/Chamberline_Kim.py b/opem/Static/Chamberline_Kim.py index 6399ffa5..97502e5f 100644 --- a/opem/Static/Chamberline_Kim.py +++ b/opem/Static/Chamberline_Kim.py @@ -257,8 +257,4 @@ def Static_Analysis( "Message": "[Error] " + Simulation_Title + " Simulation Failed!(Check Your Inputs)"} - else: - print( - "[Error] " + - Simulation_Title + - " Simulation Failed!(Check Your Inputs)") + print("[Error] " +Simulation_Title +" Simulation Failed!(Check Your Inputs)") diff --git a/opem/Static/Larminie_Dicks.py b/opem/Static/Larminie_Dicks.py index 080f4e5b..9e4bd53c 100644 --- a/opem/Static/Larminie_Dicks.py +++ b/opem/Static/Larminie_Dicks.py @@ -259,8 +259,4 @@ def Static_Analysis( "Message": "[Error] " + Simulation_Title + " Simulation Failed!(Check Your Inputs)"} - else: - print( - "[Error] " + - Simulation_Title + - " Simulation Failed!(Check Your Inputs)") + print("[Error] " +Simulation_Title +" Simulation Failed!(Check Your Inputs)") From 5b6a2f896ceddf50d65c03cfbe934059939f8860 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 12:59:00 +0330 Subject: [PATCH 048/204] fix : file revert --- opem/Functions.py | 111 +++++++++++++++++++++++----------------------- 1 file changed, 55 insertions(+), 56 deletions(-) diff --git a/opem/Functions.py b/opem/Functions.py index 6a3fe692..dcc5a711 100644 --- a/opem/Functions.py +++ b/opem/Functions.py @@ -234,7 +234,7 @@ def Output_Save( OutputDict, OutputParams, i, - InputFile, + file, PrintMode): """ This function write analysis result in Simulation-Result.opem file @@ -246,17 +246,17 @@ def Output_Save( :type OutputParams : dict :param i: cell load current [A] :type i : float - :param InputFile : file object + :param file : file object :return: None """ spliter = "\n" if 'win' not in sys.platform: spliter = "\r\n" - InputFile.write("I :" + str(i) + " A " + spliter * 2) + file.write("I :" + str(i) + " A " + spliter * 2) if PrintMode: print("I : " + str(i)) for key in OutputParamsKeys: - InputFile.write(key + + file.write(key + " : " + str(OutputDict[key]) + " " + @@ -268,7 +268,7 @@ def Output_Save( str(OutputDict[key]) + " " + OutputParams[key]) - InputFile.write("###########" + spliter) + file.write("###########" + spliter) if PrintMode: print("###########") @@ -366,25 +366,25 @@ def HTML_Init(Title, Name): return HTMLFile -def HTML_Desc(Title, Description, HTMLFile): +def HTML_Desc(Title, Description, file): ''' This function write model description in html file :param Title: Simulation title (analysis model) :type Title : str :param Description: Model description :type Description : str - :param HTMLFile: html file object - :type HTMLFile : file object + :param file: html file object + :type file : file object :return: None ''' - HTMLFile.write('

What is ' + Title + ' ?

\n') - HTMLFile.write( + file.write('

What is ' + Title + ' ?

\n') + file.write( '

' + Description + "

\n") -def HTML_Chart(x, y, color, x_label, y_label, chart_name, size, HTMLFile): +def HTML_Chart(x, y, color, x_label, y_label, chart_name, size, file): ''' This function write chartjs chart in html file :param x: x data as a string list @@ -398,8 +398,8 @@ def HTML_Chart(x, y, color, x_label, y_label, chart_name, size, HTMLFile): :param chart_name: chart name (or list of chart_name) :param size: chart size in pixel :type size : str - :param HTMLFile: html file object - :type HTMLFile : file object + :param file: html file object + :type file : file object :return: None ''' chart_data = "" @@ -416,7 +416,7 @@ def HTML_Chart(x, y, color, x_label, y_label, chart_name, size, HTMLFile): y_data = None_Omit(y) chart_data = opem.Script.CHART_DATA.format(chart_name, y_data, color) x_data = None_Omit(x) - HTMLFile.write( + file.write( opem.Script.LINE_CHART.format( x_data, y_label, @@ -426,55 +426,55 @@ def HTML_Chart(x, y, color, x_label, y_label, chart_name, size, HTMLFile): chart_data)) -def HTML_Input_Table(Input_Dict, Input_Params, HTMLFile): +def HTML_Input_Table(Input_Dict, Input_Params, file): ''' This function add table to html file :param Input_Dict: Input values dictionary :type Input_Dict : dict :param Input_Params: Input params dictionary :type Input_Params : dict - :param HTMLFile: html file object - :type HTMLFile : file object + :param file: html file object + :type file : file object :return: None ''' - HTMLFile.write('

Inputs

\n') - HTMLFile.write( + file.write('

Inputs

\n') + file.write( '\n') - HTMLFile.write( + file.write( '\n') - HTMLFile.write( + file.write( '") - HTMLFile.write( + file.write( '") - HTMLFile.write( + file.write( '\n\n") Input_Params_Keys = sorted(Input_Params.keys()) for key in Input_Params_Keys: - HTMLFile.write( + file.write( '\n') - HTMLFile.write( + file.write( '\n") - HTMLFile.write( + file.write( '\n") - HTMLFile.write( + file.write( '\n") - HTMLFile.write("
\n' + "Input\n\n' + "Description\n\n' + "Value\n
\n' + key + "\n\n' + Input_Params[key] + "\n\n' + str( Input_Dict[key]) + "\n
\n") + file.write("\n") def HTML_Overall_Params_Table( Input_Dict, Input_Params, - HTMLFile, + file, header=False): ''' This function add table to html file @@ -482,64 +482,64 @@ def HTML_Overall_Params_Table( :type Input_Dict : dict :param Input_Params: Input params dictionary :type Input_Params : dict - :param HTMLFile: html file object - :type HTMLFile : file object + :param file: html file object + :type file : file object :return: None ''' if header: - HTMLFile.write('

Overall Parameters

\n') - HTMLFile.write( + file.write('

Overall Parameters

\n') + file.write( '\n') - HTMLFile.write( + file.write( '\n') - HTMLFile.write( + file.write( '") - HTMLFile.write( + file.write( '") - HTMLFile.write( + file.write( '\n\n") Input_Params_Keys = sorted(Input_Params.keys()) for key in Input_Params_Keys: - HTMLFile.write( + file.write( '\n') - HTMLFile.write( + file.write( '\n") - HTMLFile.write( + file.write( '\n") - HTMLFile.write( + file.write( '\n") - HTMLFile.write("
\n' + "Parameter\n\n' + "Description\n\n' + "Value\n
\n' + key + "\n\n' + Input_Params[key] + "\n\n' + str( Input_Dict[key]) + "\n
\n") + file.write("\n") if header: - HTMLFile.write('

Graphs

\n') + file.write('

Graphs

\n') -def HTML_End(HTMLFile): +def HTML_End(file): ''' This function add end part of html file - :param HTMLFile: html file object - :type HTMLFile : file object + :param file: html file object + :type file : file object :return: None ''' - HTMLFile.write( + file.write( '

Generated By ' 'OPEM Version ' + str(Version) + '

\n') - HTMLFile.write("\n") - HTMLFile.write("") + file.write("\n") + file.write("") -def CSV_Save(OutputParamsKeys, OutputDict, i, CSVFile): +def CSV_Save(OutputParamsKeys, OutputDict, i, file): """ This Function Save Parameters In CSV File :param OutputParamsKeys : OutputParams Key as list @@ -548,16 +548,15 @@ def CSV_Save(OutputParamsKeys, OutputDict, i, CSVFile): :type OutputDict:dict :param i: cell load current [A] :type i : float - :param CSVFile : file object - :return: None + :param file : file object :return: None """ - CSVFile.write(str(i) + ",") + file.write(str(i) + ",") for key in OutputParamsKeys: - CSVFile.write(str(OutputDict[key])) + file.write(str(OutputDict[key])) if key != OutputParamsKeys[-1]: - CSVFile.write(",") - CSVFile.write("\n") + file.write(",") + file.write("\n") def filter_lambda(Input_Dict): From 46b9f36191d33376a20c4f9681a9085fd7afa36b Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 13:02:20 +0330 Subject: [PATCH 049/204] doc : codefactor badge added --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 20dacce5..67f5dc97 100644 --- a/README.md +++ b/README.md @@ -7,6 +7,7 @@ PyPI version +CodeFactor From c9cb3160635050ae708fee043da5d7961f61da4b Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 28 Dec 2018 13:46:31 +0330 Subject: [PATCH 050/204] doc : codebeat badge added to README --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 67f5dc97..072604ba 100644 --- a/README.md +++ b/README.md @@ -8,6 +8,7 @@ PyPI version CodeFactor +codebeat badge From 587390992af808e409aba7a706a90abeaf4489b6 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sat, 29 Dec 2018 01:29:44 +0330 Subject: [PATCH 051/204] doc : Code Quality table added to README --- README.md | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 072604ba..f6a1d00f 100644 --- a/README.md +++ b/README.md @@ -6,9 +6,9 @@ PyPI version - -CodeFactor -codebeat badge + + + @@ -81,6 +81,15 @@ Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work + + + + + + + +
Code QualityCodeFactorcodebeat badge
+ ## Usage From e293b97e0ff8859a1d3077f922bb8f34800dc6b1 Mon Sep 17 00:00:00 2001 From: Sepand Haghighi Date: Sat, 2 Feb 2019 02:22:53 +0330 Subject: [PATCH 052/204] CODE_OF_CONDUCT.md added #94 --- CODE_OF_CONDUCT.md | 76 ++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 76 insertions(+) create mode 100644 CODE_OF_CONDUCT.md diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md new file mode 100644 index 00000000..4b8fdabb --- /dev/null +++ b/CODE_OF_CONDUCT.md @@ -0,0 +1,76 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +In the interest of fostering an open and welcoming environment, we as +contributors and maintainers pledge to making participation in our project and +our community a harassment-free experience for everyone, regardless of age, body +size, disability, ethnicity, sex characteristics, gender identity and expression, +level of experience, education, socio-economic status, nationality, personal +appearance, race, religion, or sexual identity and orientation. + +## Our Standards + +Examples of behavior that contributes to creating a positive environment +include: + +* Using welcoming and inclusive language +* Being respectful of differing viewpoints and experiences +* Gracefully accepting constructive criticism +* Focusing on what is best for the community +* Showing empathy towards other community members + +Examples of unacceptable behavior by participants include: + +* The use of sexualized language or imagery and unwelcome sexual attention or + advances +* Trolling, insulting/derogatory comments, and personal or political attacks +* Public or private harassment +* Publishing others' private information, such as a physical or electronic + address, without explicit permission +* Other conduct which could reasonably be considered inappropriate in a + professional setting + +## Our Responsibilities + +Project maintainers are responsible for clarifying the standards of acceptable +behavior and are expected to take appropriate and fair corrective action in +response to any instances of unacceptable behavior. + +Project maintainers have the right and responsibility to remove, edit, or +reject comments, commits, code, wiki edits, issues, and other contributions +that are not aligned to this Code of Conduct, or to ban temporarily or +permanently any contributor for other behaviors that they deem inappropriate, +threatening, offensive, or harmful. + +## Scope + +This Code of Conduct applies both within project spaces and in public spaces +when an individual is representing the project or its community. Examples of +representing a project or community include using an official project e-mail +address, posting via an official social media account, or acting as an appointed +representative at an online or offline event. Representation of a project may be +further defined and clarified by project maintainers. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be +reported by contacting the project team at opem@ecsim.ir. All +complaints will be reviewed and investigated and will result in a response that +is deemed necessary and appropriate to the circumstances. The project team is +obligated to maintain confidentiality with regard to the reporter of an incident. +Further details of specific enforcement policies may be posted separately. + +Project maintainers who do not follow or enforce the Code of Conduct in good +faith may face temporary or permanent repercussions as determined by other +members of the project's leadership. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, +available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html + +[homepage]: https://www.contributor-covenant.org + +For answers to common questions about this code of conduct, see +https://www.contributor-covenant.org/faq From bd674b710f9920024f14b45af9a7c4a8b2a4e64e Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sat, 2 Feb 2019 02:24:33 +0330 Subject: [PATCH 053/204] doc : Code of Conduct added to README TOC #94 --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index f6a1d00f..923cc33e 100644 --- a/README.md +++ b/README.md @@ -32,6 +32,7 @@ * [License](https://github.com/ECSIM/opem#license) * [Donate](https://github.com/ECSIM/opem#donate-to-our-project) * [Changelog](https://github.com/ECSIM/opem/blob/master/CHANGELOG.md) + * [Code of Conduct](https://github.com/ECSIM/opem/blob/master/CODE_OF_CONDUCT.md) ## Overview From 2339ae94cb5eb7fae08d453de2c4e8d861785967 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 12:54:51 +0330 Subject: [PATCH 054/204] fix : version_check added #93 --- .travis/test.sh | 1 + version_check.py | 81 ++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 82 insertions(+) create mode 100644 version_check.py diff --git a/.travis/test.sh b/.travis/test.sh index f2877cea..f683c6ad 100644 --- a/.travis/test.sh +++ b/.travis/test.sh @@ -2,4 +2,5 @@ # Dump Environment (so that we can check PATH, UT_FLAGS, etc.) set +python version_check.py tox -- --cov=opem --cov-report=term \ No newline at end of file diff --git a/version_check.py b/version_check.py new file mode 100644 index 00000000..bcadb4cb --- /dev/null +++ b/version_check.py @@ -0,0 +1,81 @@ +# -*- coding: utf-8 -*- +import os +import sys +import codecs +Failed = 0 +VERSION = "0.9" + +VERSION_1 = VERSION.split(".")[0] +VERSION_2 = str(int(float(VERSION)*10 - int(VERSION_1)*10)) +VERSION_3 = str(int(float(VERSION)*100 - int(VERSION_1)*100 - int(VERSION_2)*10)) +VERSION_4 = "0" + +SETUP_ITEMS = [ + "version='{0}'", + 'https://github.com/ecsim/opem/tarball/v{0}'] +INSTALL_ITEMS = [ + "[Version {0}](https://github.com/ecsim/opem/archive/v{0}.zip)", + "[Exe-Version {0}]", + "[DMG-Version {0}]"] +CHANGELOG_ITEMS = [ + "## [{0}]", + "https://github.com/ECSIM/opem/compare/v{0}...HEAD", + "[{0}]:"] +DOCUMENT_ITEMS = [ + "### Version {0}"] + +HTML_ITEMS = ["Version {0}"] +PARAMS_ITEMS = ["Version = {0}"] +RC_ITEMS =["filevers=({0}, {1}, {2}, {3})","prodvers=({0}, {1}, {2}, {3})","(u'FileVersion', u'{0}.{1}.{2}.{3}'),","(u'ProductVersion', u'{0}, {1}, {2}, {3}')"] +FILES = { + "setup.py": SETUP_ITEMS, "INSTALL.md": INSTALL_ITEMS, "CHANGELOG.md": CHANGELOG_ITEMS, os.path.join( + "Documents", "Amphlett.ipynb"): DOCUMENT_ITEMS,os.path.join( + "Documents", "Chamberline_Kim.ipynb"): DOCUMENT_ITEMS,os.path.join( + "Documents", "Larminie_Dicks.ipynb"): DOCUMENT_ITEMS,os.path.join( + "Documents", "Padulles_Amphlett.ipynb"): DOCUMENT_ITEMS,os.path.join( + "Documents", "Padulles_Hauer.ipynb"): DOCUMENT_ITEMS,os.path.join( + "Documents", "Padulles1.ipynb"): DOCUMENT_ITEMS,os.path.join( + "Documents", "Padulles2.ipynb"): DOCUMENT_ITEMS, os.path.join( + "otherfile", "test.html"): HTML_ITEMS,os.path.join("opem", "Params.py"): PARAMS_ITEMS} + +TEST_NUMBER = len(FILES.keys()) +1 + + +def print_result(failed=False): + message = "Version tag tests " + if not failed: + print("\n" + message + "passed!") + else: + print("\n" + message + "failed!") + print("Passed : " + str(TEST_NUMBER - Failed) + "/" + str(TEST_NUMBER)) + + +if __name__ == "__main__": + for file_name in FILES.keys(): + try: + file_content = codecs.open( + file_name, "r", "utf-8", 'ignore').read() + for test_item in FILES[file_name]: + if file_content.find(test_item.format(VERSION)) == -1: + print("Incorrect version tag in " + file_name) + Failed += 1 + break + except Exception as e: + Failed += 1 + print("Error in " + file_name + "\n" + "Message : " + str(e)) + try: + file_content = codecs.open(os.path.join("otherfile","Version.rc"), "r", "utf-8", 'ignore').read() + for test_item in RC_ITEMS: + if file_content.find(test_item.format(VERSION_1,VERSION_2,VERSION_3,VERSION_4)) == -1: + print("Incorrect version tag in " + "Version.rc") + Failed += 1 + break + except Exception as e: + Failed += 1 + print("Error in " + file_name + "\n" + "Message : " + str(e)) + if Failed == 0: + print_result(False) + sys.exit(0) + else: + print_result(True) + sys.exit(1) From a9de7555851b8050698685b85ecd72cef4fd62b4 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 12:58:59 +0330 Subject: [PATCH 055/204] fix : cprofile test added to travis --- .travis/test.sh | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.travis/test.sh b/.travis/test.sh index f683c6ad..e60ba849 100644 --- a/.travis/test.sh +++ b/.travis/test.sh @@ -3,4 +3,5 @@ set python version_check.py -tox -- --cov=opem --cov-report=term \ No newline at end of file +tox -- --cov=opem --cov-report=term +python -m cProfile -s cumtime opem/Profile.py" \ No newline at end of file From c757316a49714d4a2d1fe628464727e6814634d5 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 12:59:18 +0330 Subject: [PATCH 056/204] fix : cprofile test in travis minor bug fixed --- .travis/test.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.travis/test.sh b/.travis/test.sh index e60ba849..6483e664 100644 --- a/.travis/test.sh +++ b/.travis/test.sh @@ -4,4 +4,4 @@ set python version_check.py tox -- --cov=opem --cov-report=term -python -m cProfile -s cumtime opem/Profile.py" \ No newline at end of file +python -m cProfile -s cumtime opem/Profile.py \ No newline at end of file From d32020843cd050081f43df730b0ca39be4b19d69 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 13:03:04 +0330 Subject: [PATCH 057/204] fix : bandit test added --- .travis/test.sh | 1 + dev-requirements.txt | 3 ++- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/.travis/test.sh b/.travis/test.sh index 6483e664..0aa599d8 100644 --- a/.travis/test.sh +++ b/.travis/test.sh @@ -3,5 +3,6 @@ set python version_check.py +python -m bandit -r opem -s B322 tox -- --cov=opem --cov-report=term python -m cProfile -s cumtime opem/Profile.py \ No newline at end of file diff --git a/dev-requirements.txt b/dev-requirements.txt index 8ad8c552..09141933 100644 --- a/dev-requirements.txt +++ b/dev-requirements.txt @@ -3,4 +3,5 @@ art==2.7 requests==2.21.0 pytest==4.0.2 pytest-cov==2.6.0 -setuptools==40.6.3 \ No newline at end of file +setuptools==40.6.3 +bandit==1.5.1 \ No newline at end of file From 6be0a1715523fa4c796c4465e9afd109fba2b6e2 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 13:04:26 +0330 Subject: [PATCH 058/204] fix : vulture test added --- .travis/test.sh | 1 + dev-requirements.txt | 3 ++- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/.travis/test.sh b/.travis/test.sh index 0aa599d8..779d577a 100644 --- a/.travis/test.sh +++ b/.travis/test.sh @@ -4,5 +4,6 @@ set python version_check.py python -m bandit -r opem -s B322 +python -m vulture --min-confidence 80 --exclude=opem,build,.eggs --sort-by-size . tox -- --cov=opem --cov-report=term python -m cProfile -s cumtime opem/Profile.py \ No newline at end of file diff --git a/dev-requirements.txt b/dev-requirements.txt index 09141933..67763587 100644 --- a/dev-requirements.txt +++ b/dev-requirements.txt @@ -4,4 +4,5 @@ requests==2.21.0 pytest==4.0.2 pytest-cov==2.6.0 setuptools==40.6.3 -bandit==1.5.1 \ No newline at end of file +bandit==1.5.1 +vulture==1.0 \ No newline at end of file From d101455642766b6549fd95af655fa2d21a31d579 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 18:38:47 +0330 Subject: [PATCH 059/204] fix : travis config fixed --- .travis.yml | 25 ++----------------------- .travis/install.sh | 9 +-------- .travis/test.sh | 5 +++-- 3 files changed, 6 insertions(+), 33 deletions(-) diff --git a/.travis.yml b/.travis.yml index 106abf24..36b0fa35 100644 --- a/.travis.yml +++ b/.travis.yml @@ -1,47 +1,26 @@ -sudo: true - language: python matrix: include: - os: linux - sudo: required python: 3.7 env: TOXENV=py37-linux dist: xenial - os: linux - sudo: required python: 3.6 env: TOXENV=py36-linux - os: linux - sudo: required python: 3.5 env: TOXENV=py35-linux - os: linux - sudo: required python: 3.4 env: TOXENV=py34-linux - - # - os: osx - # language: generic - # env: TOXENV=py37-osx - - - os: osx - language: generic - env: TOXENV=py36-osx - - # - os: osx - # language: generic - # env: TOXENV=py35-osx - - # - os: osx - # language: generic - # env: TOXENV=py34-osx -install: bash .travis/install.sh +install: + - bash .travis/install.sh script: - bash .travis/test.sh diff --git a/.travis/install.sh b/.travis/install.sh index ecd1886b..fe306d86 100644 --- a/.travis/install.sh +++ b/.travis/install.sh @@ -1,9 +1,2 @@ #!/bin/bash -if [[ $TRAVIS_OS_NAME == 'osx' ]]; then - pip3 install tox - exit 0 -fi -pip install -r requirements.txt -python setup.py install -# Make sure tox is installed and up to date -pip install -U tox \ No newline at end of file +pip install -r dev-requirements.txt \ No newline at end of file diff --git a/.travis/test.sh b/.travis/test.sh index 779d577a..b8798ed9 100644 --- a/.travis/test.sh +++ b/.travis/test.sh @@ -1,9 +1,10 @@ #!/bin/bash # Dump Environment (so that we can check PATH, UT_FLAGS, etc.) -set +set -e +set -x python version_check.py python -m bandit -r opem -s B322 python -m vulture --min-confidence 80 --exclude=opem,build,.eggs --sort-by-size . -tox -- --cov=opem --cov-report=term +python -m pytest opem/Test --cov=opem --cov-report=term python -m cProfile -s cumtime opem/Profile.py \ No newline at end of file From 9fdd1111b1e03af34ee45c9fb8cd9b3f9734b35f Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 18:40:47 +0330 Subject: [PATCH 060/204] fix : .github folder added --- CODE_OF_CONDUCT.md => .github/CODE_OF_CONDUCT.md | 0 CONTRIBUTING.md => .github/CONTRIBUTING.md | 0 README.md | 4 ++-- 3 files changed, 2 insertions(+), 2 deletions(-) rename CODE_OF_CONDUCT.md => .github/CODE_OF_CONDUCT.md (100%) rename CONTRIBUTING.md => .github/CONTRIBUTING.md (100%) diff --git a/CODE_OF_CONDUCT.md b/.github/CODE_OF_CONDUCT.md similarity index 100% rename from CODE_OF_CONDUCT.md rename to .github/CODE_OF_CONDUCT.md diff --git a/CONTRIBUTING.md b/.github/CONTRIBUTING.md similarity index 100% rename from CONTRIBUTING.md rename to .github/CONTRIBUTING.md diff --git a/README.md b/README.md index 923cc33e..588caf88 100644 --- a/README.md +++ b/README.md @@ -21,7 +21,7 @@ * [Installation](https://github.com/ECSIM/opem/blob/master/INSTALL.md) * [Usage](https://github.com/ECSIM/opem#usage) * [Issues & Bug Reports](https://github.com/ECSIM/opem#issues--bug-reports) - * [Contribution](https://github.com/ECSIM/opem/blob/master/CONTRIBUTING.md) + * [Contribution](https://github.com/ECSIM/opem/blob/master/.github/CONTRIBUTING.md) * [Todo](https://github.com/ECSIM/opem#todo) * [Outputs](https://github.com/ECSIM/opem#outputs) * [Dependencies](https://github.com/ECSIM/opem#dependencies) @@ -32,7 +32,7 @@ * [License](https://github.com/ECSIM/opem#license) * [Donate](https://github.com/ECSIM/opem#donate-to-our-project) * [Changelog](https://github.com/ECSIM/opem/blob/master/CHANGELOG.md) - * [Code of Conduct](https://github.com/ECSIM/opem/blob/master/CODE_OF_CONDUCT.md) + * [Code of Conduct](https://github.com/ECSIM/opem/blob/master/.github/CODE_OF_CONDUCT.md) ## Overview From 66d96d76d29775b7e61dbec238d4c5b3f5f366da Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 18:42:03 +0330 Subject: [PATCH 061/204] doc : ISSUE_TEMPLATE.md added #96 --- .github/ISSUE_TEMPLATE.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 .github/ISSUE_TEMPLATE.md diff --git a/.github/ISSUE_TEMPLATE.md b/.github/ISSUE_TEMPLATE.md new file mode 100644 index 00000000..4f0383b4 --- /dev/null +++ b/.github/ISSUE_TEMPLATE.md @@ -0,0 +1,13 @@ +#### Description + +#### Steps/Code to Reproduce + +#### Expected Behavior + +#### Actual Behavior + +#### Operating System + +#### Python Version + +#### OPEM Version From f78dcb75908e139346c8d183d5d0313784b32b35 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 18:42:54 +0330 Subject: [PATCH 062/204] doc : PULL_REQUEST_TEMPLATE.md added #96 --- .github/PULL_REQUEST_TEMPLATE.md | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 .github/PULL_REQUEST_TEMPLATE.md diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md new file mode 100644 index 00000000..590816d5 --- /dev/null +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -0,0 +1,7 @@ +#### Reference Issues/PRs + +#### What does this implement/fix? Explain your changes. + + +#### Any other comments? + From 0a1aaf7bf306a97eb05fe36f33baecc2cabc6816 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 18:45:43 +0330 Subject: [PATCH 063/204] doc : CONTRIBUTING.md updated --- .github/CONTRIBUTING.md | 16 ++++++++++++++-- 1 file changed, 14 insertions(+), 2 deletions(-) diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md index a8be5169..43bab518 100644 --- a/.github/CONTRIBUTING.md +++ b/.github/CONTRIBUTING.md @@ -1,5 +1,17 @@ ## Contribution -Changes and improvements are more than welcome! ❤️ Feel free to fork and open a pull request. Please make your changes in a specific branch and request to pull into `develop` +Changes and improvements are more than welcome! ❤️ Feel free to fork and open a pull request. -Remember to write a few tests for your code before sending pull requests. + +Please consider the following : + + +1. Fork it! +2. Create your feature branch (under `develop` branch) +3. Add your functions/methods to proper files +4. Add standard `docstring` to your functions/methods +5. Add tests for your functions/methods (`doctest` testcases in `Test` folder) +6. Pass all CI tests +7. Update `CHANGELOG.md` + - Describe changes under `[Unreleased]` section +8. Submit a pull request into `develop` (please complete the pull request template) From 7370ed410c4594ea75611c7c686eaf98d3f6a3a2 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 18:46:28 +0330 Subject: [PATCH 064/204] fix : .coveragerc added --- .coveragerc | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 .coveragerc diff --git a/.coveragerc b/.coveragerc new file mode 100644 index 00000000..72304108 --- /dev/null +++ b/.coveragerc @@ -0,0 +1,7 @@ +[run] +branch = True + +[report] +# Regexes for lines to exclude from consideration +exclude_lines = + pragma: no cover From e88e1b600b805f34c02425e96738292301c7903e Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 19:02:25 +0330 Subject: [PATCH 065/204] fix : .pyup.yml added --- .pyup.yml | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 .pyup.yml diff --git a/.pyup.yml b/.pyup.yml new file mode 100644 index 00000000..4a94d933 --- /dev/null +++ b/.pyup.yml @@ -0,0 +1,5 @@ +update: all + +branch: develop + +schedule: "every week" \ No newline at end of file From fb969c234da4784c1032c2850ce9f759d0f2106c Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 19:25:15 +0330 Subject: [PATCH 066/204] fix : version_check updated for version tag in Test --- version_check.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/version_check.py b/version_check.py index bcadb4cb..baad070f 100644 --- a/version_check.py +++ b/version_check.py @@ -27,6 +27,7 @@ HTML_ITEMS = ["Version {0}"] PARAMS_ITEMS = ["Version = {0}"] RC_ITEMS =["filevers=({0}, {1}, {2}, {3})","prodvers=({0}, {1}, {2}, {3})","(u'FileVersion', u'{0}.{1}.{2}.{3}'),","(u'ProductVersion', u'{0}, {1}, {2}, {3}')"] +TEST_ITEMS = ["New Version ({0}) Is Available!"] FILES = { "setup.py": SETUP_ITEMS, "INSTALL.md": INSTALL_ITEMS, "CHANGELOG.md": CHANGELOG_ITEMS, os.path.join( "Documents", "Amphlett.ipynb"): DOCUMENT_ITEMS,os.path.join( @@ -36,7 +37,8 @@ "Documents", "Padulles_Hauer.ipynb"): DOCUMENT_ITEMS,os.path.join( "Documents", "Padulles1.ipynb"): DOCUMENT_ITEMS,os.path.join( "Documents", "Padulles2.ipynb"): DOCUMENT_ITEMS, os.path.join( - "otherfile", "test.html"): HTML_ITEMS,os.path.join("opem", "Params.py"): PARAMS_ITEMS} + "otherfile", "test.html"): HTML_ITEMS,os.path.join("opem", "Params.py"): PARAMS_ITEMS, + os.path.join("opem","Test","test_Functions.py"):TEST_ITEMS} TEST_NUMBER = len(FILES.keys()) +1 From f23be091159d069f1f7b1950bfa8bc6ef04288a5 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 20:35:10 +0330 Subject: [PATCH 067/204] fix : Test folder moved --- .travis/install.sh | 6 +++++- .travis/test.sh | 4 +++- {opem/Test => Test}/test_Amphlett.py | 0 {opem/Test => Test}/test_Chamberline_Kim.py | 0 {opem/Test => Test}/test_Functions.py | 0 {opem/Test => Test}/test_Larminie_Dicks.py | 0 {opem/Test => Test}/test_Padulles1.py | 0 {opem/Test => Test}/test_Padulles2.py | 0 {opem/Test => Test}/test_Padulles_Amphlett.py | 0 {opem/Test => Test}/test_Padulles_Hauer.py | 0 appveyor.yml | 2 +- opem/__main__.py | 16 ++++++++++++++++ setup.py | 2 +- version_check.py | 2 +- 14 files changed, 27 insertions(+), 5 deletions(-) rename {opem/Test => Test}/test_Amphlett.py (100%) rename {opem/Test => Test}/test_Chamberline_Kim.py (100%) rename {opem/Test => Test}/test_Functions.py (100%) rename {opem/Test => Test}/test_Larminie_Dicks.py (100%) rename {opem/Test => Test}/test_Padulles1.py (100%) rename {opem/Test => Test}/test_Padulles2.py (100%) rename {opem/Test => Test}/test_Padulles_Amphlett.py (100%) rename {opem/Test => Test}/test_Padulles_Hauer.py (100%) diff --git a/.travis/install.sh b/.travis/install.sh index fe306d86..5396aafd 100644 --- a/.travis/install.sh +++ b/.travis/install.sh @@ -1,2 +1,6 @@ #!/bin/bash -pip install -r dev-requirements.txt \ No newline at end of file +set -e +set -x + +pip install -r requirements.txt +python setup.py install diff --git a/.travis/test.sh b/.travis/test.sh index b8798ed9..afc6b9e0 100644 --- a/.travis/test.sh +++ b/.travis/test.sh @@ -3,8 +3,10 @@ set -e set -x +python -m opem test +pip install -r dev-requirements.txt python version_check.py python -m bandit -r opem -s B322 python -m vulture --min-confidence 80 --exclude=opem,build,.eggs --sort-by-size . -python -m pytest opem/Test --cov=opem --cov-report=term +python -m pytest Test --cov=opem --cov-report=term python -m cProfile -s cumtime opem/Profile.py \ No newline at end of file diff --git a/opem/Test/test_Amphlett.py b/Test/test_Amphlett.py similarity index 100% rename from opem/Test/test_Amphlett.py rename to Test/test_Amphlett.py diff --git a/opem/Test/test_Chamberline_Kim.py b/Test/test_Chamberline_Kim.py similarity index 100% rename from opem/Test/test_Chamberline_Kim.py rename to Test/test_Chamberline_Kim.py diff --git a/opem/Test/test_Functions.py b/Test/test_Functions.py similarity index 100% rename from opem/Test/test_Functions.py rename to Test/test_Functions.py diff --git a/opem/Test/test_Larminie_Dicks.py b/Test/test_Larminie_Dicks.py similarity index 100% rename from opem/Test/test_Larminie_Dicks.py rename to Test/test_Larminie_Dicks.py diff --git a/opem/Test/test_Padulles1.py b/Test/test_Padulles1.py similarity index 100% rename from opem/Test/test_Padulles1.py rename to Test/test_Padulles1.py diff --git a/opem/Test/test_Padulles2.py b/Test/test_Padulles2.py similarity index 100% rename from opem/Test/test_Padulles2.py rename to Test/test_Padulles2.py diff --git a/opem/Test/test_Padulles_Amphlett.py b/Test/test_Padulles_Amphlett.py similarity index 100% rename from opem/Test/test_Padulles_Amphlett.py rename to Test/test_Padulles_Amphlett.py diff --git a/opem/Test/test_Padulles_Hauer.py b/Test/test_Padulles_Hauer.py similarity index 100% rename from opem/Test/test_Padulles_Hauer.py rename to Test/test_Padulles_Hauer.py diff --git a/appveyor.yml b/appveyor.yml index 4d4ebdd0..b173aa71 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -38,5 +38,5 @@ install: - "%PYTHON%/python.exe setup.py install" test_script: - - "%PYTHON%/python.exe -m pytest opem/Test --cov=opem --cov-report=term" + - "%PYTHON%/python.exe -m pytest Test --cov=opem --cov-report=term" - "%PYTHON%/python.exe -m cProfile -s cumtime opem/Profile.py" \ No newline at end of file diff --git a/opem/__main__.py b/opem/__main__.py index 29c00c9e..b8c056b2 100644 --- a/opem/__main__.py +++ b/opem/__main__.py @@ -3,6 +3,8 @@ OPEM Main File ''' import sys +import os +import doctest from opem.Static.Amphlett import Static_Analysis as Amphlett_Analysis from opem.Static.Larminie_Dicks import Static_Analysis as Larminiee_Analysis from opem.Static.Chamberline_Kim import Static_Analysis as Chamberline_Kim_Analysis @@ -28,6 +30,20 @@ "Padulles_Amphlett Analysis (Dynamic)": Padulles_Amphlett_Analysis} MENUKEYS = sorted(Menu.keys()) EXITFLAG = False + if "TEST" in ARGSUP: + try: + FILE_LIST = os.listdir("Test") + except Exception: + print("Test folder not found!!") + sys.exit(1) + EXIT_CODE = 0 + for item in FILE_LIST: + EXIT_CODE += doctest.testfile(os.path.join("Test",item), optionflags=doctest.NORMALIZE_WHITESPACE | doctest.ELLIPSIS, verbose=False)[0] + if EXIT_CODE == 0 : + print("Tetst passed!") + else: + print("Test failed!") + sys.exit(EXIT_CODE) check_update(Version) while not EXITFLAG: tprint("OPEM") diff --git a/setup.py b/setup.py index 60e74c09..27cfe5cc 100644 --- a/setup.py +++ b/setup.py @@ -36,7 +36,7 @@ def read_description(): setup( name='opem', - packages=['opem', 'opem.Static', 'opem.Dynamic', 'opem.Test'], + packages=['opem', 'opem.Static', 'opem.Dynamic'], version='0.9', description='Open Source PEM Cell Simulation Tool', long_description=read_description(), diff --git a/version_check.py b/version_check.py index baad070f..49d9a3b1 100644 --- a/version_check.py +++ b/version_check.py @@ -38,7 +38,7 @@ "Documents", "Padulles1.ipynb"): DOCUMENT_ITEMS,os.path.join( "Documents", "Padulles2.ipynb"): DOCUMENT_ITEMS, os.path.join( "otherfile", "test.html"): HTML_ITEMS,os.path.join("opem", "Params.py"): PARAMS_ITEMS, - os.path.join("opem","Test","test_Functions.py"):TEST_ITEMS} + os.path.join("Test","test_Functions.py"):TEST_ITEMS} TEST_NUMBER = len(FILES.keys()) +1 From 7db328a9cf49766d1dba573dab64346a30c3e735 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 21:28:22 +0330 Subject: [PATCH 068/204] fix : basic test cases modified --- .travis/test.sh | 2 +- appveyor.yml | 6 ++++-- opem/Params.py | 3 +++ {Test => opem/Test}/test_Amphlett.py | 0 {Test => opem/Test}/test_Chamberline_Kim.py | 0 {Test => opem/Test}/test_Functions.py | 0 {Test => opem/Test}/test_Larminie_Dicks.py | 0 {Test => opem/Test}/test_Padulles1.py | 0 {Test => opem/Test}/test_Padulles2.py | 0 {Test => opem/Test}/test_Padulles_Amphlett.py | 0 {Test => opem/Test}/test_Padulles_Hauer.py | 0 opem/__main__.py | 19 +++++++++---------- setup.py | 2 +- version_check.py | 2 +- 14 files changed, 19 insertions(+), 15 deletions(-) rename {Test => opem/Test}/test_Amphlett.py (100%) rename {Test => opem/Test}/test_Chamberline_Kim.py (100%) rename {Test => opem/Test}/test_Functions.py (100%) rename {Test => opem/Test}/test_Larminie_Dicks.py (100%) rename {Test => opem/Test}/test_Padulles1.py (100%) rename {Test => opem/Test}/test_Padulles2.py (100%) rename {Test => opem/Test}/test_Padulles_Amphlett.py (100%) rename {Test => opem/Test}/test_Padulles_Hauer.py (100%) diff --git a/.travis/test.sh b/.travis/test.sh index afc6b9e0..e982f9c8 100644 --- a/.travis/test.sh +++ b/.travis/test.sh @@ -8,5 +8,5 @@ pip install -r dev-requirements.txt python version_check.py python -m bandit -r opem -s B322 python -m vulture --min-confidence 80 --exclude=opem,build,.eggs --sort-by-size . -python -m pytest Test --cov=opem --cov-report=term +python -m pytest opem/Test --cov=opem --cov-report=term python -m cProfile -s cumtime opem/Profile.py \ No newline at end of file diff --git a/appveyor.yml b/appveyor.yml index b173aa71..8a567c1c 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -34,9 +34,11 @@ init: - "ECHO %PYTHON% %PYTHON_VERSION% %PYTHON_ARCH%" install: - - "%PYTHON%/Scripts/pip.exe install -r dev-requirements.txt" + - "%PYTHON%/Scripts/pip.exe install -r requirements.txt" - "%PYTHON%/python.exe setup.py install" + - "%PYTHON%/python.exe opem test" test_script: - - "%PYTHON%/python.exe -m pytest Test --cov=opem --cov-report=term" + - "%PYTHON%/Scripts/pip.exe install -r dev-requirements.txt" + - "%PYTHON%/python.exe -m pytest opem/Test --cov=opem --cov-report=term" - "%PYTHON%/python.exe -m cProfile -s cumtime opem/Profile.py" \ No newline at end of file diff --git a/opem/Params.py b/opem/Params.py index 9809c20e..d1196d6a 100644 --- a/opem/Params.py +++ b/opem/Params.py @@ -453,3 +453,6 @@ "Pmax(L-Approx)": "Maximum power obtained by linear approximation [W]", "VFC|Pmax(L-Approx)": "Cell voltage at maximum power obtained by linear approximation [V]", } + + +Test_List = ['test_Amphlett.py', 'test_Chamberline_Kim.py', 'test_Functions.py', 'test_Larminie_Dicks.py', 'test_Padulles1.py', 'test_Padulles2.py', 'test_Padulles_Amphlett.py', 'test_Padulles_Hauer.py'] \ No newline at end of file diff --git a/Test/test_Amphlett.py b/opem/Test/test_Amphlett.py similarity index 100% rename from Test/test_Amphlett.py rename to opem/Test/test_Amphlett.py diff --git a/Test/test_Chamberline_Kim.py b/opem/Test/test_Chamberline_Kim.py similarity index 100% rename from Test/test_Chamberline_Kim.py rename to opem/Test/test_Chamberline_Kim.py diff --git a/Test/test_Functions.py b/opem/Test/test_Functions.py similarity index 100% rename from Test/test_Functions.py rename to opem/Test/test_Functions.py diff --git a/Test/test_Larminie_Dicks.py b/opem/Test/test_Larminie_Dicks.py similarity index 100% rename from Test/test_Larminie_Dicks.py rename to opem/Test/test_Larminie_Dicks.py diff --git a/Test/test_Padulles1.py b/opem/Test/test_Padulles1.py similarity index 100% rename from Test/test_Padulles1.py rename to opem/Test/test_Padulles1.py diff --git a/Test/test_Padulles2.py b/opem/Test/test_Padulles2.py similarity index 100% rename from Test/test_Padulles2.py rename to opem/Test/test_Padulles2.py diff --git a/Test/test_Padulles_Amphlett.py b/opem/Test/test_Padulles_Amphlett.py similarity index 100% rename from Test/test_Padulles_Amphlett.py rename to opem/Test/test_Padulles_Amphlett.py diff --git a/Test/test_Padulles_Hauer.py b/opem/Test/test_Padulles_Hauer.py similarity index 100% rename from Test/test_Padulles_Hauer.py rename to opem/Test/test_Padulles_Hauer.py diff --git a/opem/__main__.py b/opem/__main__.py index b8c056b2..b36716cb 100644 --- a/opem/__main__.py +++ b/opem/__main__.py @@ -13,7 +13,7 @@ from opem.Dynamic.Padulles_Hauer import Dynamic_Analysis as Padulles_Hauer_Analysis from opem.Dynamic.Padulles_Amphlett import Dynamic_Analysis as Padulles_Amphlett_Analysis from art import tprint -from opem.Params import Version, Description_Menu, Description_Links, Vectors +from opem.Params import Version, Description_Menu, Description_Links, Vectors, Test_List from opem.Functions import check_update, description_print, description_control @@ -32,18 +32,17 @@ EXITFLAG = False if "TEST" in ARGSUP: try: - FILE_LIST = os.listdir("Test") + EXIT_CODE = 0 + for item in Test_List: + EXIT_CODE += doctest.testfile(os.path.join("Test",item), optionflags=doctest.NORMALIZE_WHITESPACE | doctest.ELLIPSIS, verbose=False)[0] + if EXIT_CODE == 0 : + print("Tetst passed!") + else: + print("Test failed!") + sys.exit(EXIT_CODE) except Exception: print("Test folder not found!!") sys.exit(1) - EXIT_CODE = 0 - for item in FILE_LIST: - EXIT_CODE += doctest.testfile(os.path.join("Test",item), optionflags=doctest.NORMALIZE_WHITESPACE | doctest.ELLIPSIS, verbose=False)[0] - if EXIT_CODE == 0 : - print("Tetst passed!") - else: - print("Test failed!") - sys.exit(EXIT_CODE) check_update(Version) while not EXITFLAG: tprint("OPEM") diff --git a/setup.py b/setup.py index 27cfe5cc..012b03f0 100644 --- a/setup.py +++ b/setup.py @@ -36,7 +36,7 @@ def read_description(): setup( name='opem', - packages=['opem', 'opem.Static', 'opem.Dynamic'], + packages=['opem', 'opem.Static', 'opem.Dynamic','opem.Test'], version='0.9', description='Open Source PEM Cell Simulation Tool', long_description=read_description(), diff --git a/version_check.py b/version_check.py index 49d9a3b1..baad070f 100644 --- a/version_check.py +++ b/version_check.py @@ -38,7 +38,7 @@ "Documents", "Padulles1.ipynb"): DOCUMENT_ITEMS,os.path.join( "Documents", "Padulles2.ipynb"): DOCUMENT_ITEMS, os.path.join( "otherfile", "test.html"): HTML_ITEMS,os.path.join("opem", "Params.py"): PARAMS_ITEMS, - os.path.join("Test","test_Functions.py"):TEST_ITEMS} + os.path.join("opem","Test","test_Functions.py"):TEST_ITEMS} TEST_NUMBER = len(FILES.keys()) +1 From 38ff667efcbeb542325db5c1c5a586b698a1b05a Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Tue, 12 Feb 2019 22:04:01 +0330 Subject: [PATCH 069/204] fix : minor typo in __main__ fixed --- opem/__main__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/opem/__main__.py b/opem/__main__.py index b36716cb..07d15a76 100644 --- a/opem/__main__.py +++ b/opem/__main__.py @@ -36,7 +36,7 @@ for item in Test_List: EXIT_CODE += doctest.testfile(os.path.join("Test",item), optionflags=doctest.NORMALIZE_WHITESPACE | doctest.ELLIPSIS, verbose=False)[0] if EXIT_CODE == 0 : - print("Tetst passed!") + print("Test passed!") else: print("Test failed!") sys.exit(EXIT_CODE) From a393d18f108c5621d4dee807eeac37fe0839275f Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Wed, 13 Feb 2019 13:30:17 +0330 Subject: [PATCH 070/204] doc : Amphlett notebook plots added #92 --- Documents/Amphlett.ipynb | 273 +- Documents/Amphlett/Amphlett_Test.csv | 751 ++ Documents/Amphlett/Amphlett_Test.html | 581 ++ Documents/Amphlett/Amphlett_Test.opem | 10528 ++++++++++++++++++++++++ 4 files changed, 12022 insertions(+), 111 deletions(-) create mode 100644 Documents/Amphlett/Amphlett_Test.csv create mode 100644 Documents/Amphlett/Amphlett_Test.html create mode 100644 Documents/Amphlett/Amphlett_Test.opem diff --git a/Documents/Amphlett.ipynb b/Documents/Amphlett.ipynb index bfe77c65..3fb2aa2e 100644 --- a/Documents/Amphlett.ipynb +++ b/Documents/Amphlett.ipynb @@ -882,7 +882,7 @@ ], "source": [ "from opem.Static.Amphlett import Static_Analysis\n", - "Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + "Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False)" ] }, { @@ -892,6 +892,13 @@ "* Notice : \"Status\", \"V0\", \"K\" and \"EFF\" , new in version 0.8" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* Notice : \"PrintMode\" & \"ReportMode\" , new in version 0.5" + ] + }, { "cell_type": "code", "execution_count": 20, @@ -900,109 +907,8 @@ { "data": { "text/plain": [ - "{'EFF': [0.763301282051282,\n", - " 0.6874890758222313,\n", - " 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0.6597000002134213,\n", - " 0.7467102170794577,\n", - " 0.8328508282477683,\n", - " 0.9182144215535232,\n", - " 1.0028749536944233,\n", - " 1.0868928646385256,\n", - " 1.1703184750174012,\n", - " 1.2531943319175447,\n", - " 1.3355568810485454,\n", - " 1.417437691058521,\n", - " 1.498864370613474,\n", - " 1.5798612689779254,\n", - " 1.6604500204546115],\n", - " 'Ph': [0.0,\n", - " 0.015751704171731908,\n", - " 0.0407238388827595,\n", - " 0.06920066849571356,\n", - " 0.09996728342461313,\n", - " 0.13244670520543989,\n", - " 0.16629911862329885,\n", - " 0.20129999978657856,\n", - " 0.23728978292054237,\n", - " 0.2741491717522317,\n", - " 0.3117855784464768,\n", - " 0.3501250463055768,\n", - " 0.3891071353614744,\n", - " 0.428681524982599,\n", - " 0.4688056680824551,\n", - " 0.5094431189514546,\n", - " 0.5505623089414792,\n", - " 0.5921356293865259,\n", - " 0.6341387310220746,\n", - " 0.6765499795453883],\n", - " 'Status': True,\n", - " 'V': [1.19075,\n", - " 1.072482958282681,\n", - " 1.0263808055862025,\n", - " 0.9993311050142881,\n", - " 0.9800817914384672,\n", - " 0.9651065895891202,\n", - " 0.9528348022945019,\n", - " 0.9424285717334592,\n", - " 0.933387771349322,\n", - " 0.925389809164187,\n", - " 0.9182144215535232,\n", - " 0.9117045033585666,\n", - " 0.905744053865438,\n", - " 0.9002449807826162,\n", - " 0.895138808512532,\n", - " 0.8903712540323636,\n", - " 0.8858985569115755,\n", - " 0.8816849238902789,\n", - " 0.8777007049877363,\n", - " 0.873921063397164],\n", - " 'V0': 1.0551285303936633}" + "{'Message': '[Error] Amphlett Simulation Failed!(Check Your Inputs)',\n", + " 'Status': False}" ] }, "execution_count": 20, @@ -1011,35 +917,180 @@ } ], "source": [ - "Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + "Static_Analysis(InputMethod={},TestMode=True,PrintMode=False,ReportMode=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "* Notice : \"PrintMode\" & \"ReportMode\" , new in version 0.5" + "## Plot" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" + ] + } + ], + "source": [ + "import sys\n", + "!{sys.executable} -m pip install matplotlib;\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_func(x,y,x_label,y_label,color='green'):\n", + " plt.figure()\n", + " plt.plot(x,y,color=color)\n", + " plt.xlabel(x_label)\n", + " plt.ylabel(y_label)\n", + " plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "Test_Vector={\n", + " \"T\": 343.15,\n", + " \"PH2\": 1,\n", + " \"PO2\": 1,\n", + " \"i-start\": 0,\n", + " \"i-stop\": 75,\n", + " \"i-step\": 0.1,\n", + " \"A\": 50.6,\n", + " \"l\": 0.0178,\n", + " \"lambda\": 23,\n", + " \"N\": 1,\n", + " \"R\": 0,\n", + " \"JMax\": 1.5,\n", + " \"B\": 0.016,\n", + " \"Name\": \"Amphlett_Test\"}\n", + "data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "{'Message': '[Error] Amphlett Simulation Failed!(Check Your Inputs)',\n", - " 'Status': False}" + "
" ] }, - "execution_count": 21, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "Static_Analysis(InputMethod={},TestMode=True,PrintMode=False,ReportMode=True)" + "plot_func(data[\"I\"],data[\"P\"],\"I(A)\",\"Power(W)\")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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HSn7LZqvKnc1snJlNi57vbmbXxxdNRMpL0bTQ1q1Ds7jBg+Hpp1UEJMhmQdnjQE9Cewnc/RPCzmMikmJz5oTB4IsvDv2Bpk6Fzp2TTiVpkk0hqOXuH65zbHV5hhGR8jVkCOy2G7z9Njz8cFggtt12SaeStMmmECw0s+aEAWLM7ETCamMRSZlFi+C00+Ckk6B587CH8IUXalqolCybWUMXAX2Almb2HWGV8RmxpBKRMnvhhbB72KJFcNNN0LMnVK+edCpJs2xmDX0JHGpmtYEq7r40vlgikq3Fi8P+wf37Q6tWYbXwHnsknUoqg2z2LN4EOIFoz2KLzjHd/eZYkolIxkaPhm7dQr+gG2+Ea6+FGuoIJhnKZozgBeAYwgDxsmK3EplZTTP70Mw+NrNPzeym6HgzM5tgZrPM7Dkz0z9XkTJasgTOPjvsGla/flgt3KuXioBkJ9s9i7NpSLsCaOfuP5tZdeCdqIX1lcC97v6smT0KnAs8ksWfKyKEGUDnnw/ffw/XXw833KACIGWTzRnBe2a2W6Yv9uDn6Gn16OaEFhVDo+P9gGOzyCCS9378Ec49F448MuwZ8MEHcMstKgJSdhs8IzCzqYQf4NWArmb2JeG3/aI9i3cv5b1VgUnATsBDwBfAEncvWn8wG2i0Uf8FInnklVfCnsFz5oTZQDfeCJtsknQqqewyuTR0PLCyLH941L56DzOrC4wAdi3pZSW918y6Ad0Att9++7J8vEjOWLwYrroKnnoqbBn5/vuwzz5Jp5JckUkheM7dN2ovAndfYmZvAm2AumZWLToraAzMWc97+hDWLVBQUKB9kiVvDRsW9gxYuDDMBrrhBrWLlvKVyRhBmdYimlmD6EwAM9sUOBSYAbwBnBi9rAthNpKIrGPuXDj+eDjxRGjUCAoLtWeAxCOTM4IGZnbl+r5Yyub1DYF+0ThBFWCwu482s+nAs2bWG/gIeCLb0CK5zD3sF3zVVfDrr3DHHWHjmGrZzPETyUIm/7SqApuR5ZlB1J20dQnHvwR0dVOkBF9+GdpDvPZa6BT6+OOw885Jp5Jcl0khmKvVwyLxWrMmbBJz/fVQtSo88khYKVwlmwneImWUSSFQv0KRGE2bFqaETpgARx0VikCTJkmnknySye8bh6x7IJraKSIbYcWK0A5izz3DrmEDB8KoUSoCUvE2WAjcfXEJh7vHkEUkb7z5Juy+e2gT3bkzTJ8Op56q/QIkGWW9Aql/riJlsHAhdO0KbdvC6tVhpfCAAdCgQdLJJJ9lVAjMrIqZnVTsUKeY8ojkJHfo1y+sCu7fP7SHmDYNDjss6WQiGRYCd18LXFzs+ezYEonkmJkzoV270C56l13go4/g73+HTTdNOplIkM2lobFm9hcza2Jm9YpusSUTqeRWrICbbw5jAR99BI8+CuPHw//8T9LJRH4vm7WK50T3FxU75sCO5RdHJDe89VZYGDZzJpxyCtx7L2y7bdKpREqWzZ7FzeIMIpILFi2Cv/41tIho2hReegmOOCLpVCKly/jSkJnVMrPrzaxP9LyFmXWML5pI5bF2LTzxRBgDePppuOYa+PRTFQGpHLIZI+hL2Jdgv+j5bKB3uScSqWSmTIEDDgirg1u2hMmT4fbboVatpJOJZCabQtDc3f8BrAJw91/QegLJYz/+CJdeCnvtBZ9/HjaNefvtMDgsUplkM1i8MtpXwAHMrDlhy0qRvOIeFoH95S8wfz5ceCH07g1bbpl0MpGyyaYQ9ALGAE3MbACwP3B2DJlEUmvatLBb2Ntvh60iX3wxnBGIVGbZzBp61cwmEbabNOAyd18YWzKRFFm6NPQFuu8+2GIL6NMHzj1XbaIlN2RcCMzsGeBtYLy7fxZfJJH0cIchQ+CKK2DOnDAgfNttUL9+0slEyk+2s4YaAg+a2RdmNszMLospl0jipk8PvYBOPhm22Qbefz/sGKYiILkm40Lg7q8DtwI3AP8CCoALY8olkpglS8IZwO67hw3j//lPmDgR2rRJOplIPLK5NDQOqA28D4wH9nb3+XEFE6loa9aEFcHXXhvaRXfrBrfcohbRkvuymTX0CbAX8D/Aj8ASM3s/Wk8gUqm9+25YEzB5clgc9sor0Lp10qlEKkY2l4aucPcDgeOARYQxgyVxBROpCN99B2ecEX74z5sXtot8+20VAckv2fQautjMngOmAMcCTwLr7aQStat+w8xmmNmnRQPLUfvqsWY2K7rXMhypcCtWhNk/u+wCQ4fCddeFTqHaLlLyUTaXhjYF7gEmufvqDF6/GrjK3Seb2ebAJDMbS1iENs7dbzezHkAP4Josc4uUiTuMHh0Gg7/4Ao49Fu6+G3ZUM3XJY9lcGroT+BXoHp0dtNrA6+e6++To8VJgBtAIOAboF72sH+HsQiR2n30WuoEefTTUqAGvvgojRqgIiGRzaehSYACwdXTrb2aXZPjepkBrYAKwjbvPhVAsoj+rpPd0M7NCMytcsGBBpjFF/svChXDJJWFnsA8+CKuDP/4Y2rdPOplIOpi7Z/ZCs0+Afd19WfS8NvC+u5faa9HMNgPeAm519+FmtsTd6xb7+g/uXuo4QUFBgRcWFmaUU6TIihVhDcAtt4QWERdcENpEaDqo5Aszm+TuBRt6XTYriw1YU+z5GjbQhtrMqgPDgAHuPjw6PM/MGkZfbwhoLYKUK3cYPhz++MfQIXS//eCTT+Dhh1UEREqSbYuJCWbWy8x6AR8AT6zvxWZm0ddnuPs9xb40EugSPe4CvJBVYpFSTJoEBx8MJ5wANWvCmDFhu8g//jHpZCLplU330XvM7E3gAMKZQFd3/6iUt+wPnAlMNbMp0bFrgduBwWZ2LvAt0LkswUWK++67sCL46afDb/2PPhq6g1bLZl6cSJ7a4P8mZlYT6A7sBEwFHs5k+qi7v8P6Lx0dkk1IkfVZtgzuvBP+8Y/QIuKaa0JBqFMn6WQilUcmvy/1I2xPOZ6wgGxX4PI4Q4lsyJo10L9/+KE/Z07oEHrbbdCsWdLJRCqfTArBH9x9NwAzewL4MN5IIuvnHvoAXXNNGADeZ5+wX8B++yWdTKTyymSweFXRgwxXFIvEYvLkMPf/iCPCdNBBg8IeASoCIhsnkzOCVmb2U/TYgE2j5wa4u+tqrMTqq69CL6BBg2CrreD++6F797A6WEQ23gYLgbtXrYggIutatAh694aHHgqzf669Fq6+OuwZLCLlR5PrJHWWLw+/9d9+O/z8M3TtGlYEN2qUdDKR3KRCIKmxZg306wd/+1tYF9CpU5gJpMVgIvHKZmWxSCyKWkO3ahUWgTVqBG+9BSNHqgiIVAQVAknUW2+F3cE6dQpN4oYMCR1CDzww6WQi+UOFQBIxaRJ06BD6An39dWgJMX06nHiidggTqWgqBFKhZswIP+wLCmDixNAe4vPPQ4vo6tWTTieSnzRYLBXim2+gV6/QFK5WLbjxRrjySvUEEkkDFQKJ1bx5cOut4dJPlSpw+eXQo4f2BRBJExUCicWSJeGyz333hUHgc86BG26AJk2STiYi61IhkHK1dCk8+GAoAkuWwKmnhsVgLVoknUxE1keFQMrFzz+H/YHvuiu0hujYMbSHaNUq6WQisiEqBLJRli0LewH/4x+wcGHoDNqrV2gPLSKVgwqBlMny5WEA+I47YP58OPzwUADatEk6mYhkS+sIJCu//BIawjVvDlddBbvvDu++GzaJVxEQqZx0RiAZ+fVXePzx0ARu7lxo2xYGD4Y//znpZCKysVQIpFS//gpPPgl//3voCHrggTBwYGgNISK5IbZLQ2b2pJnNN7NpxY7VM7OxZjYrut8yrs+XjbN8eVgD0Lw5XHQRNG0Kr70Gb76pIiCSa+IcI3gK6LDOsR7AOHdvAYyLnkuK/PRT2BCmaVO44grYeWcYNw7Gj4dDDlFDOJFcFFshcPe3gcXrHD4G6Bc97gccG9fnS3Z++CEs/GraFHr2hL32Cj/833gD2rVTARDJZRU9RrCNu88FcPe5ZrZ1BX++rGPBArj33rAYbOlSOOaYsFH83nsnnUxEKkpqB4vNrBvQDWD77bdPOE3umTs3tIF47LEwJbRz51AAdt896WQiUtEqeh3BPDNrCBDdz1/fC929j7sXuHtBA7WqLDfffBMGf5s1gwceCHsDTJ8Ozz2nIiCSryq6EIwEukSPuwAvVPDn562pU+HMM8MsoMcfh7POgpkzw2bxLVsmnU5EkhTbpSEzGwQcDNQ3s9nAjcDtwGAzOxf4Fugc1+dL2BT+nXdCG4gXX4TateGSS8KGMGoHLSJFYisE7n7qer50SFyfKcHatTB6dJgG+v77UL8+3HxzuCRUr17S6UQkbVI7WCzZW7kyrPq9885w3b9p0zAbqGvXsD2kiEhJVAhywM8/h+v+99wDs2eHQd8BA+Ckk6CavsMisgH6MVGJff89PPRQuP3wAxx0EPTpAx06aAGYiGROhaAS+uSTsAhs4EBYtSosArvmGrWBFpGyUSGoJNauhVdeCZd/XnstXPPv1g0uuwx22inpdCJSmakQpNwvv0D//uEMYMYM2G67sCdAt26aASQi5UOFIKXmzQt7AT/8cNgLuHVreOaZMABco0bS6UQkl6gQpMzHH4fWDwMGwIoV0KlTWAB20EEaABaReKgQpMCqVTBiRJjzP348bLopnHMOXH552A9ARCROKgQJmjcvzP9/9NGwDWSzZnDXXaEIbKm920SkgqgQJGDChPDb/+DBYTXwYYeFYnDEEVC1atLpRCTfqBBUkBUrwg/+Bx+EiRNh883hggtC/59ddkk6nYjkMxWCmM2aFVb7PvVUmP3TsmU4GzjrrFAMRESSpkIQg5Urw+Bvnz7w+uvhcs8xx0D37nDooZr9IyLpokJQjr74Ivzw79s37AW8ww7Qu3cY/G3YMOl0IiIlUyHYSCtXwsiRYe/f114Lv/136hSu/7dvr8FfEUk/FYIy+vjj8Jv/gAHh2n+TJmHzl3POgUaNkk4nIpI5FYIsLFwYOn727QtTpoRWD0cfHTZ+Ofxw/fYvIpWTCsEGrFoFY8aEWT+jRoXne+0VZv6ccgpstVXSCUVENo4KQQnWrg17/Q4aBEOGwPz5sPXWYeP3s8+G3XZLOqGISPlRIYi4h+v+gwbBs8/Ct99CzZrQsSOceWZY9Vu9etIpRUTKXyKFwMw6APcDVYF/ufvtSeRwh6lTw5z/554L/f6rVg0tH3r3DnP/69RJIpmISMWp8EJgZlWBh4D2wGxgopmNdPfpFfH5q1fDe+/B88+H21dfhQVef/4zXHopnHgi1K9fEUlERNIhiTOCfYDP3f1LADN7FjgGiKUQuMOXX8K4cb/dFi0KM37at4eePcO8/223jePTRUTSL4lC0Aj4d7Hns4E/xfFB3buHwd7Fi8Pz7baDI48MUz4PP1y9fkREIJlCUFKnHf+vF5l1A7oBbL/99mX6oB12CJd6WrWCdu1Cl0/1+RER+b0kCsFsoEmx542BOeu+yN37AH0ACgoK/qtQZKJnz7K8S0Qkv1RJ4DMnAi3MrJmZ1QBOAUYmkENEREjgjMDdV5vZxcArhOmjT7r7pxWdQ0REgkTWEbj7S8BLSXy2iIj8XhKXhkREJEVUCERE8pwKgYhInlMhEBHJcyoEIiJ5ztzLtFarQpnZAuCbMr69PrCwHOPEIe0Z054PlLE8pD0fpD9j2vLt4O4NNvSiSlEINoaZFbp7QdI5SpP2jGnPB8pYHtKeD9KfMe351keXhkRE8pwKgYhInsuHQtAn6QAZSHvGtOcDZSwPac8H6c+Y9nwlyvkxAhERKV0+nBGIiEgpcroQmFkHM5tpZp+bWY8U5HnSzOab2bRix+qZ2VgzmxXdb5lwxiZm9oaZzTCzT83ssjTlNLOaZvahmX0c5bspOt7MzCZE+Z6LWpwnysyqmtlHZjY6jRnN7Gszm2pmU8ysMDqWiu9zlKWumQ01s8+if4/7pizfLtHfXdHtJzO7PE0ZM5WzhcDMqgIPAUcAfwBONbM/JJuKp4AO6xzrAYxz9xbAuOh5klYDV7n7rkAb4KLo7y0tOVcA7dy9FbAH0MHM2gB3APdG+X4Azk0oX3GXATOKPU9jxrbuvkexKY9p+T4D3A+McfeWQCspbXPtAAAEHUlEQVTC32Vq8rn7zOjvbg9gL2A5MCJNGTPm7jl5A/YFXin2vCfQMwW5mgLTij2fCTSMHjcEZiadcZ28LwDt05gTqAVMJux5vRCoVtL3PqFsjQk/BNoBowlbtKYt49dA/XWOpeL7DNQBviIax0xbvhLyHga8m+aMpd1y9owAaAT8u9jz2dGxtNnG3ecCRPdbJ5znP8ysKdAamECKckaXXKYA84GxwBfAEndfHb0kDd/r+4CrgbXR861IX0YHXjWzSdEe4ZCe7/OOwAKgb3R57V9mVjtF+dZ1CjAoepzWjOuVy4WgpG3qNUUqQ2a2GTAMuNzdf0o6T3HuvsbD6XhjYB9g15JeVrGpfmNmHYH57j6p+OESXpr0v8f93X1PwuXTi8zswITzFFcN2BN4xN1bA8tI6SWWaKznaGBI0lnKKpcLwWygSbHnjYE5CWUpzTwzawgQ3c9POA9mVp1QBAa4+/DocOpyuvsS4E3CWEZdMyvacS/p7/X+wNFm9jXwLOHy0H2kKyPuPie6n0+4tr0P6fk+zwZmu/uE6PlQQmFIS77ijgAmu/u86HkaM5YqlwvBRKBFNFOjBuHUbWTCmUoyEugSPe5CuCafGDMz4AlghrvfU+xLqchpZg3MrG70eFPgUMIg4hvAiUnnA3D3nu7e2N2bEv7dve7up5OijGZW28w2L3pMuMY9jZR8n939e+DfZrZLdOgQYDopybeOU/ntshCkM2Ppkh6kiHkA50jg/wjXkK9LQZ5BwFxgFeE3nnMJ147HAbOi+3oJZzyAcMniE2BKdDsyLTmB3YGPonzTgL9Fx3cEPgQ+J5yib5L09zvKdTAwOm0ZoywfR7dPi/7/SMv3OcqyB1AYfa+fB7ZMU74oYy1gEbBFsWOpypjJTSuLRUTyXC5fGhIRkQyoEIiI5DkVAhGRPKdCICKS51QIRETynAqBiEieUyEQKYWZ/VzsccOiltLFjt1vZt+ZWZVixzoWtccWqQxUCEQydyXweNGT6If/cYTmhsX79LxIaDFRq2LjiZSNCoFI5k4AxhR73pawuvkRQpsBADys0nwT6FiR4UTKSoVAJANm1gz4wd1XFDtc1GNmBNAxatZXpBD4cwVGFCkzFQKRzDQk9McH/tN6+EjgeQ9tuicQGrcVmQ9sV6EJRcqo2oZfIiLAL0DNYs87AFsAU0PDVmoRtip8Mfp6zeg9IqmnQiCSmf8jbDNa5FTgPHcfBP9p5fyVmdVy9+XAzoTxA5HU06UhkQy4+zLgCzPbKZoNdDi//fZf9PV3gE7RobbFvy6SZmpDLZIhMzsO2Mvdr9/A67YBBrr7IRWTTGTj6NKQSIbcfYSZbZXBS7cHroo7j0h50RmBiEie0xiBiEieUyEQEclzKgQiInlOhUBEJM+pEIiI5Ln/B0WJeJpgmpkSAAAAAElFTkSuQmCC\n", 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+74.9,1.19075,0.5564162618842647,0.06927066695042548,0.20564684562177526,0.8313337744564655,0.23039501637406054,26.920275293210736,26.920275293210736,65.20672470678927,0.3594162255435345,0.3594162255435345 diff --git a/Documents/Amphlett/Amphlett_Test.html b/Documents/Amphlett/Amphlett_Test.html new file mode 100644 index 00000000..35f833e2 --- /dev/null +++ b/Documents/Amphlett/Amphlett_Test.html @@ -0,0 +1,581 @@ + + +Amphlett_Test + + + +

OPEM Report (Amphlett Model)

+

What is Amphlett ?

+

+Amphlett static model is a parametric model that predicting the performance of a solid polymer electrolyte, +proton exchange membrane (PEM) fuel cell. Main concepts in the Amphlett model includes Nernst voltage, PEMFC losses +(activation polarization loss, ohmic polarization loss and concentration polarization loss), power and efficiency +of fuel cell. This parametric model of PEMFC using a combination of mechanistic and empirical approach. The ideal +standard potential (Nernst potential) of an H2/O2 FC is 1.229 V with liquid water product. The actual cell potential +is decreased from its reference potential because of irreversible losses. +

+

Inputs

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+Input + +Description + +Value +
+A + +active area [cm^2] + +50.6 +
+B + +An empirical constant depending on the cell and its operation state (Tafel Slope) [V] + +0.016 +
+JMax + +maximum current density [A/(cm^2)] + +1.5 +
+N + +Number Of Single Cells + +1 +
+PH2 + +Partial Pressure [atm] + +1 +
+PO2 + +Partial Pressure [atm] + +1 +
+R + +R-Electronic [ohm] (*Optional) + +0 +
+T + +Cell Operation Temperature [K] + +343.15 +
+i-start + +Cell operating current start point [A] + +0 +
+i-step + +Cell operating current step + +0.1 +
+i-stop + +Cell operating current end point [A] + +75 +
+l + +Membrane Thickness [cm] + +0.0178 +
+lambda + +is an adjustable parameter with a min value of 14 and max value of 23 + +23 +
+

Overall Parameters

+ + + + + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+Efficiency|Pmax + +Cell efficiency at maximum power + +0.2826255388927661 +
+Pmax + +Maximum power [W] + +29.231394236601012 +
+Ptotal(Elec) + +Total electrical power [W] + +44.92639219548963 +
+Ptotal(Thermal) + +Total thermal power [W] + +47.15960780451031 +
+VFC|Pmax + +Cell voltage at maximum power [V] + +0.44089584067271514 +
+

Graphs

+ +
+ +
+ + +
+ +
+ + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+K + +Slope of the curve obtained by linear approximation [A^(-1)] + +-0.005908240849347697 +
+Pmax(L-Approx) + +Maximum power obtained by linear approximation [W] + +28.55564007273787 +
+V0 + +Intercept of the curve obtained by linear approximation [V] + +0.8214952200883945 +
+VFC|Pmax(L-Approx) + +Cell voltage at maximum power obtained by linear approximation [V] + +0.41074761004419724 +
+ +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ +

Generated By OPEM Version 0.9

+ + \ No newline at end of file diff --git a/Documents/Amphlett/Amphlett_Test.opem b/Documents/Amphlett/Amphlett_Test.opem new file mode 100644 index 00000000..2e86bf15 --- /dev/null +++ b/Documents/Amphlett/Amphlett_Test.opem @@ -0,0 +1,10528 @@ + ___ + / _ \ _ __ ___ _ __ ___ +| | | || '_ \ / _ \| '_ ` _ \ +| |_| || |_) || __/| | | | | | + \___/ | .__/ \___||_| |_| |_| + |_| +Simulation Date : 2019-02-13 13:29:11.115698 +********** +Amphlett Model + +********** +Simulation Inputs : + +A : 50.6 +B : 0.016 +JMax : 1.5 +N : 1 +Name : Amphlett_Test +PH2 : 1 +PO2 : 1 +R : 0 +T : 343.15 +i-start : 0 +i-step : 0.1 +i-stop : 75 +l : 0.0178 +lambda : 23 +********** +I :0 A + +Enernst : 1.19075 V +Eta Activation : 0 V +Eta Concentration : 0 V +Eta Ohmic : 0 V +Loss : 0 V +PEM Efficiency : 0.763301282051282 +Power : 0.0 W +Power-Stack : 0.0 W +Power-Thermal : 0.0 W +VStack : 1.19075 V +Vcell : 1.19075 V +########### +I :0.1 A + +Enernst : 1.19075 V +Eta Activation : 0.11807074742083559 V +Eta 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0.06774570407355608 V +Eta Ohmic : 0.20517918575120941 V +Loss : 0.8292526708007458 V +PEM Efficiency : 0.23172905717900907 +Power : 27.040000224104208 W +Power-Stack : 27.040000224104208 W +Power-Thermal : 64.96399977589579 W +VStack : 0.36149732919925415 V +Vcell : 0.36149732919925415 V +########### +I :74.9 A + +Enernst : 1.19075 V +Eta Activation : 0.5564162618842647 V +Eta Concentration : 0.06927066695042548 V +Eta Ohmic : 0.20564684562177526 V +Loss : 0.8313337744564655 V +PEM Efficiency : 0.23039501637406054 +Power : 26.920275293210736 W +Power-Stack : 26.920275293210736 W +Power-Thermal : 65.20672470678927 W +VStack : 0.3594162255435345 V +Vcell : 0.3594162255435345 V +########### From 982f550e4695391b97544eab3ab358aab9bb7067 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Wed, 13 Feb 2019 16:22:01 +0330 Subject: [PATCH 071/204] doc : Chamberline-Kim notebook plots added #92 --- Documents/Amphlett.ipynb | 47 +- Documents/Amphlett/Amphlett_Test.opem | 2 +- .../Chamberline-Kim/Chamberline_Test.csv | 416 ++ .../Chamberline-Kim/Chamberline_Test.html | 494 +++ .../Chamberline-Kim/Chamberline_Test.opem | 3760 +++++++++++++++++ Documents/Chamberline_Kim.ipynb | 414 +- 6 files changed, 4877 insertions(+), 256 deletions(-) create mode 100644 Documents/Chamberline-Kim/Chamberline_Test.csv create mode 100644 Documents/Chamberline-Kim/Chamberline_Test.html create mode 100644 Documents/Chamberline-Kim/Chamberline_Test.opem diff --git a/Documents/Amphlett.ipynb b/Documents/Amphlett.ipynb index 3fb2aa2e..6f7533d9 100644 --- a/Documents/Amphlett.ipynb +++ b/Documents/Amphlett.ipynb @@ -892,6 +892,27 @@ "* Notice : \"Status\", \"V0\", \"K\" and \"EFF\" , new in version 0.8" ] }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "###########\n", + "Amphlett-Model Simulation\n", + "###########\n", + "Analyzing . . .\n", + "Done!\n" + ] + } + ], + "source": [ + "Data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=False)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -901,7 +922,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -911,7 +932,7 @@ " 'Status': False}" ] }, - "execution_count": 20, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -929,7 +950,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -937,13 +958,13 @@ "output_type": "stream", "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", - "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", - "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", - "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", - "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] } @@ -956,7 +977,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -970,7 +991,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -994,7 +1015,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -1014,7 +1035,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -1034,7 +1055,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -1054,7 +1075,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": {}, "outputs": [ { diff --git a/Documents/Amphlett/Amphlett_Test.opem b/Documents/Amphlett/Amphlett_Test.opem index 2e86bf15..94a0f56b 100644 --- a/Documents/Amphlett/Amphlett_Test.opem +++ b/Documents/Amphlett/Amphlett_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-13 13:29:11.115698 +Simulation Date : 2019-02-13 16:21:23.814720 ********** Amphlett Model diff --git a/Documents/Chamberline-Kim/Chamberline_Test.csv b/Documents/Chamberline-Kim/Chamberline_Test.csv new file mode 100644 index 00000000..b78e6657 --- /dev/null +++ b/Documents/Chamberline-Kim/Chamberline_Test.csv @@ -0,0 +1,416 @@ +I (A),PEM Efficiency (),Power (W),Power-Stack (W),Power-Thermal (W),VStack (V),Vcell (V) +1,0.797966269201884,1.244827379954939,1.244827379954939,-0.01482737995493899,1.244827379954939,1.244827379954939 +1.1,0.7933343765568479,1.3613617901715511,1.3613617901715511,-0.008361790171551031,1.2376016274286827,1.2376016274286827 +1.2,0.7890689791314186,1.4771371289340156,1.4771371289340156,-0.0011371289340155854,1.230947607445013,1.230947607445013 +1.3,0.7851113286904084,1.5922057745841485,1.5922057745841485,0.006794225415851485,1.2247736727570373,1.2247736727570373 +1.4,0.7814157591393215,1.706612017960278,1.706612017960278,0.015387982039721892,1.2190085842573415,1.2190085842573415 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OPEM Report (Chamberline-Kim Model)

+

What is Chamberline-Kim ?

+

+Chamberlin-Kim static model is an empirical equation which was developed to fit the experimental cell potential (E) vs. +current density (J) data for proton exchange membrane fuel cells (PEMFCs), at several temperatures, pressures, and +oxygen compositions in the cathode gas mixture. The exponential term compensates for the mass-transport regions of the +V vs. i plot; i.e., the increase in slope of the pseudolinear region and the subsequent rapid fall-off of the cell +potential with increasing current density. The terms E0 and b yield the electrode kinetic parameters for oxygen +reduction in the PEMFC and R represents the resistance, predominantly ohmic and, to a small extent, the charge +transfer resistance of the electro-oxidation of hydrogen. The exponential term characterizes the mass-transport +region of the V vs. i plot. The parameter n has more pronounced effects than the parameter m in this region. In +Chamberline Kim's model, the values of the parameters(five parameters: E0, b, R, m, n) vary depending on many +variables, including the composition of the Membrane Electrode Assemblies(MEA), the fuel and oxidant used, besides +the local temperature, pressure, and humidity of the MEA. They also depend on the stack itself, so that it can not +be transposed to another fuel cell without new parameter identification. +

+

Inputs

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+Input + +Description + +Value +
+A + +Active area [cm^2] + +50.0 +
+E0 + +Open circuit voltage [V] + +0.982 +
+N + +Number Of Single Cells + +1 +
+R + +Resistance [ohm.cm^2] + +0.328 +
+b + +Tafel's parameter for the oxygen reduction [V] + +0.0689 +
+i-start + +Cell operating current start point [A] + +1 +
+i-step + +Cell operating current step + +0.1 +
+i-stop + +Cell operating current end point [A] + +42.5 +
+m + +Diffusion's parameters [V] + +0.000125 +
+n + +Diffusion's parameters [(A^-1)(cm^2)] + +9.45 +
+

Overall Parameters

+ + + + + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+Efficiency|Pmax + +Cell efficiency at maximum power + +0.4626668383075613 +
+Pmax + +Maximum power [W] + +24.106792943177172 +
+Ptotal(Elec) + +Total electrical power [W] + +35.82827697893981 +
+Ptotal(Thermal) + +Total thermal power [W] + +15.093723021060224 +
+VFC|Pmax + +Cell voltage at maximum power [V] + +0.7217602677597956 +
+

Graphs

+ +
+ +
+ + +
+ +
+ + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+K + +Slope of the curve obtained by linear approximation [A^(-1)] + +-0.01612214066335869 +
+Pmax(L-Approx) + +Maximum power obtained by linear approximation [W] + +22.8946129504538 +
+V0 + +Intercept of the curve obtained by linear approximation [V] + +1.2150887546518891 +
+VFC|Pmax(L-Approx) + +Cell voltage at maximum power obtained by linear approximation [V] + +0.6075443773259446 +
+ +
+ +
+ + +
+ +
+ + +
+ +
+ +

Generated By OPEM Version 0.9

+ + \ No newline at end of file diff --git a/Documents/Chamberline-Kim/Chamberline_Test.opem b/Documents/Chamberline-Kim/Chamberline_Test.opem new file mode 100644 index 00000000..f1f1f349 --- /dev/null +++ b/Documents/Chamberline-Kim/Chamberline_Test.opem @@ -0,0 +1,3760 @@ + ___ + / _ \ _ __ ___ _ __ ___ +| | | || '_ \ / _ \| '_ ` _ \ +| |_| || |_) || __/| | | | | | + \___/ | .__/ \___||_| |_| |_| + |_| +Simulation Date : 2019-02-13 16:21:09.667047 +********** +Chamberline-Kim Model + +********** +Simulation Inputs : + +A : 50.0 +E0 : 0.982 +N : 1 +Name : Chamberline_Test +R : 0.328 +b : 0.0689 +i-start : 1 +i-step : 0.1 +i-stop : 42.5 +m : 0.000125 +n : 9.45 +********** +I :1 A + +PEM Efficiency : 0.797966269201884 +Power : 1.244827379954939 W +Power-Stack : 1.244827379954939 W +Power-Thermal : -0.01482737995493899 W +VStack : 1.244827379954939 V +Vcell : 1.244827379954939 V +########### +I :1.1 A + +PEM Efficiency : 0.7933343765568479 +Power : 1.3613617901715511 W +Power-Stack : 1.3613617901715511 W +Power-Thermal : -0.008361790171551031 W +VStack : 1.2376016274286827 V +Vcell : 1.2376016274286827 V +########### +I :1.2 A + +PEM Efficiency : 0.7890689791314186 +Power : 1.4771371289340156 W +Power-Stack : 1.4771371289340156 W +Power-Thermal : -0.0011371289340155854 W +VStack : 1.230947607445013 V +Vcell : 1.230947607445013 V +########### +I :1.3 A + +PEM Efficiency : 0.7851113286904084 +Power : 1.5922057745841485 W +Power-Stack : 1.5922057745841485 W +Power-Thermal : 0.006794225415851485 W +VStack : 1.2247736727570373 V +Vcell : 1.2247736727570373 V +########### +I :1.4 A + +PEM Efficiency : 0.7814157591393215 +Power : 1.706612017960278 W +Power-Stack : 1.706612017960278 W +Power-Thermal : 0.015387982039721892 W +VStack : 1.2190085842573415 V +Vcell : 1.2190085842573415 V +########### +I :1.5 A + +PEM Efficiency : 0.7779460692405816 +Power : 1.820393802022961 W +Power-Stack : 1.820393802022961 W +Power-Thermal : 0.02460619797703889 W +VStack : 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32.86143982287605 W +VStack : 0.43045158581810095 V +Vcell : 0.43045158581810095 V +########### +I :41.2 A + +PEM Efficiency : 0.271789277996522 +Power : 17.468440475392466 W +Power-Stack : 17.468440475392466 W +Power-Thermal : 33.20755952460754 W +VStack : 0.4239912736745744 V +Vcell : 0.4239912736745744 V +########### +I :41.3 A + +PEM Efficiency : 0.2675793700878396 +Power : 17.23960365601933 W +Power-Stack : 17.23960365601933 W +Power-Thermal : 33.559396343980666 W +VStack : 0.4174238173370298 V +Vcell : 0.4174238173370298 V +########### +I :41.4 A + +PEM Efficiency : 0.26329946334276555 +Power : 17.00493254052917 W +Power-Stack : 17.00493254052917 W +Power-Thermal : 33.91706745947083 W +VStack : 0.41074716281471424 V +Vcell : 0.41074716281471424 V +########### +I :41.5 A + +PEM Efficiency : 0.25894821601214346 +Power : 16.764307504626167 W +Power-Stack : 16.764307504626167 W +Power-Thermal : 34.28069249537383 W +VStack : 0.4039592169789438 V +Vcell : 0.4039592169789438 V +########### +I :41.6 A + +PEM Efficiency : 0.25452426077945606 +Power : 16.51760642754358 W +Power-Stack : 16.51760642754358 W +Power-Thermal : 34.65039357245642 W +VStack : 0.3970578468159514 V +Vcell : 0.3970578468159514 V +########### +I :41.7 A + +PEM Efficiency : 0.25002620427275035 +Power : 16.264704640350956 W +Power-Stack : 16.264704640350956 W +Power-Thermal : 35.02629535964905 W +VStack : 0.39004087866549053 V +Vcell : 0.39004087866549053 V +########### +I :41.8 A + +PEM Efficiency : 0.24545262656724864 +Power : 16.005474873197148 W +Power-Stack : 16.005474873197148 W +Power-Thermal : 35.40852512680285 W +VStack : 0.3829060974449079 V +Vcell : 0.3829060974449079 V +########### +I :41.9 A + +PEM Efficiency : 0.24080208067847425 +Power : 15.739787201467792 W +Power-Stack : 15.739787201467792 W +Power-Thermal : 35.79721279853221 W +VStack : 0.37565124585841986 V +Vcell : 0.37565124585841986 V +########### +I :42.0 A + +PEM Efficiency : 0.2360730920457109 +Power : 15.467508990834979 W +Power-Stack : 15.467508990834979 W +Power-Thermal : 36.19249100916502 W +VStack : 0.368274023591309 V +Vcell : 0.368274023591309 V +########### +I :42.1 A + +PEM Efficiency : 0.23126415800560418 +Power : 15.188504841176062 W +Power-Stack : 15.188504841176062 W +Power-Thermal : 36.59449515882394 W +VStack : 0.36077208648874254 V +Vcell : 0.36077208648874254 V +########### +I :42.2 A + +PEM Efficiency : 0.22637374725572856 +Power : 14.902636529339125 W +Power-Stack : 14.902636529339125 W +Power-Thermal : 37.00336347066088 W +VStack : 0.35314304571893657 V +Vcell : 0.35314304571893657 V +########### +I :42.3 A + +PEM Efficiency : 0.22140029930791538 +Power : 14.60976295073072 W +Power-Stack : 14.60976295073072 W +Power-Thermal : 37.41923704926927 W +VStack : 0.345384466920348 V +Vcell : 0.345384466920348 V +########### +I :42.4 A + +PEM Efficiency : 0.21634222393115646 +Power : 14.309740059702413 W +Power-Stack : 14.309740059702413 W +Power-Thermal : 37.84225994029758 W +VStack : 0.3374938693326041 V +Vcell : 0.3374938693326041 V +########### diff --git a/Documents/Chamberline_Kim.ipynb b/Documents/Chamberline_Kim.ipynb index de51cc03..9cbd2341 100644 --- a/Documents/Chamberline_Kim.ipynb +++ b/Documents/Chamberline_Kim.ipynb @@ -571,7 +571,7 @@ ], "source": [ "from opem.Static.Chamberline_Kim import Static_Analysis\n", - "Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + "Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False)" ] }, { @@ -594,252 +594,12 @@ "Chamberline-Kim-Model Simulation\n", "###########\n", "Analyzing . . .\n", - "I : 1\n", - "PEM Efficiency : 0.797966269201884 \n", - "Power : 1.244827379954939 W\n", - "Power-Stack : 1.244827379954939 W\n", - "Power-Thermal : -0.01482737995493899 W\n", - "VStack : 1.244827379954939 V\n", - "Vcell : 1.244827379954939 V\n", - "###########\n", - "I : 1.1\n", - "PEM Efficiency : 0.7933343765568479 \n", - "Power : 1.3613617901715511 W\n", - "Power-Stack : 1.3613617901715511 W\n", - "Power-Thermal : -0.008361790171551031 W\n", - "VStack : 1.2376016274286827 V\n", - "Vcell : 1.2376016274286827 V\n", - "###########\n", - "I : 1.2\n", - "PEM Efficiency : 0.7890689791314186 \n", - "Power : 1.4771371289340156 W\n", - "Power-Stack : 1.4771371289340156 W\n", - "Power-Thermal : -0.0011371289340155854 W\n", - "VStack : 1.230947607445013 V\n", - "Vcell : 1.230947607445013 V\n", - "###########\n", - "I : 1.3\n", - "PEM Efficiency : 0.7851113286904084 \n", - "Power : 1.5922057745841485 W\n", - "Power-Stack : 1.5922057745841485 W\n", - "Power-Thermal : 0.006794225415851485 W\n", - "VStack : 1.2247736727570373 V\n", - "Vcell : 1.2247736727570373 V\n", - "###########\n", - "I : 1.4\n", - "PEM Efficiency : 0.7814157591393215 \n", - "Power : 1.706612017960278 W\n", - "Power-Stack : 1.706612017960278 W\n", - "Power-Thermal : 0.015387982039721892 W\n", - "VStack : 1.2190085842573415 V\n", - "Vcell : 1.2190085842573415 V\n", - "###########\n", - "I : 1.5\n", - "PEM Efficiency : 0.7779460692405816 \n", - "Power : 1.820393802022961 W\n", - "Power-Stack : 1.820393802022961 W\n", - "Power-Thermal : 0.02460619797703889 W\n", - "VStack : 1.2135958680153074 V\n", - "Vcell : 1.2135958680153074 V\n", - "###########\n", - "I : 1.6\n", - "PEM Efficiency : 0.7746730751436158 \n", - "Power : 1.933583995558465 W\n", - "Power-Stack : 1.933583995558465 W\n", - "Power-Thermal : 0.03441600444153501 W\n", - "VStack : 1.2084899972240406 V\n", - "Vcell : 1.2084899972240406 V\n", - "###########\n", - "I : 1.7\n", - "PEM Efficiency : 0.771572906202878 \n", - "Power : 2.0462113472500323 W\n", - "Power-Stack : 2.0462113472500323 W\n", - "Power-Thermal : 0.04478865274996757 W\n", - "VStack : 1.2036537336764896 V\n", - "Vcell : 1.2036537336764896 V\n", - "###########\n", - "I : 1.8\n", - "PEM Efficiency : 0.7686257886450131 \n", - "Power : 2.158301214515197 W\n", - "Power-Stack : 2.158301214515197 W\n", - "Power-Thermal : 0.055698785484803184 W\n", - "VStack : 1.1990562302862204 V\n", - "Vcell : 1.1990562302862204 V\n", - "###########\n", - "I : 1.9\n", - "PEM Efficiency : 0.7658151585364871 \n", - "Power : 2.2698761299021477 W\n", - "Power-Stack : 2.2698761299021477 W\n", - "Power-Thermal : 0.06712387009785219 W\n", - "VStack : 1.1946716473169199 V\n", - "Vcell : 1.1946716473169199 V\n", - "###########\n", - "I : 2.0\n", - "PEM Efficiency : 0.7631270025420254 \n", - "Power : 2.380956247931119 W\n", - "Power-Stack : 2.380956247931119 W\n", - "Power-Thermal : 0.07904375206888092 W\n", - "VStack : 1.1904781239655595 V\n", - "Vcell : 1.1904781239655595 V\n", - "###########\n", - "I : 2.1\n", - "PEM Efficiency : 0.7605493596935309 \n", - "Power : 2.491559702356007 W\n", - "Power-Stack : 2.491559702356007 W\n", - "Power-Thermal : 0.09144029764399271 W\n", - "VStack : 1.1864570011219082 V\n", - "Vcell : 1.1864570011219082 V\n", - "###########\n", - "I : 2.2\n", - "PEM Efficiency : 0.7580719391696471 \n", - "Power : 2.601702895230229 W\n", - "Power-Stack : 2.601702895230229 W\n", - "Power-Thermal : 0.10429710476977118 W\n", - "VStack : 1.1825922251046495 V\n", - "Vcell : 1.1825922251046495 V\n", - "###########\n", - "I : 2.3\n", - "PEM Efficiency : 0.7556858231082223 \n", - "Power : 2.7114007333123014 W\n", - "Power-Stack : 2.7114007333123014 W\n", - "Power-Thermal : 0.11759926668769842 W\n", - "VStack : 1.1788698840488268 V\n", - "Vcell : 1.1788698840488268 V\n", - "###########\n", - "I : 2.4\n", - "PEM Efficiency : 0.753383232714607 \n", - "Power : 2.820666823283489 W\n", - "Power-Stack : 2.820666823283489 W\n", - "Power-Thermal : 0.13133317671651062 W\n", - "VStack : 1.1752778430347872 V\n", - "Vcell : 1.1752778430347872 V\n", - "###########\n", - "I : 2.5\n", - "PEM Efficiency : 0.7511573421474446 \n", - "Power : 2.929513634375034 W\n", - "Power-Stack : 2.929513634375034 W\n", - "Power-Thermal : 0.14548636562496609 W\n", - "VStack : 1.1718054537500135 V\n", - "Vcell : 1.1718054537500135 V\n", - "###########\n", - "I : 2.6\n", - "PEM Efficiency : 0.7490021289286691 \n", - "Power : 3.0379526349346824 W\n", - "Power-Stack : 3.0379526349346824 W\n", - "Power-Thermal : 0.16004736506531766 W\n", - "VStack : 1.168443321128724 V\n", - "Vcell : 1.168443321128724 V\n", - "###########\n", - "I : 2.7\n", - "PEM Efficiency : 0.7469122526002784 \n", - "Power : 3.145994407952373 W\n", - "Power-Stack : 3.145994407952373 W\n", - "Power-Thermal : 0.17500559204762714 W\n", - "VStack : 1.1651831140564344 V\n", - "Vcell : 1.1651831140564344 V\n", - "###########\n", - "I : 2.8\n", - "PEM Efficiency : 0.7448829554595718 \n", - "Power : 3.2536487494474096 W\n", - "Power-Stack : 3.2536487494474096 W\n", - "Power-Thermal : 0.1903512505525901 W\n", - "VStack : 1.162017410516932 V\n", - "Vcell : 1.162017410516932 V\n", - "###########\n", - "I : 2.9\n", - "PEM Efficiency : 0.7429099807210011 \n", - "Power : 3.360924752781809 W\n", - "Power-Stack : 3.360924752781809 W\n", - "Power-Thermal : 0.20607524721819082 W\n", - "VStack : 1.1589395699247618 V\n", - "Vcell : 1.1589395699247618 V\n", - "###########\n", - "I : 3.0\n", - "PEM Efficiency : 0.7409895045575802 \n", - "Power : 3.4678308813294754 W\n", - "Power-Stack : 3.4678308813294754 W\n", - "Power-Thermal : 0.22216911867052458 W\n", - "VStack : 1.1559436271098251 V\n", - "Vcell : 1.1559436271098251 V\n", - "###########\n", - "I : 3.1\n", - "PEM Efficiency : 0.7391180792895339 \n", - "Power : 3.5743750314441862 W\n", - "Power-Stack : 3.5743750314441862 W\n", - "Power-Thermal : 0.23862496855581392 W\n", - "VStack : 1.153024203691673 V\n", - "Vcell : 1.153024203691673 V\n", - "###########\n", - "I : 3.2\n", - "PEM Efficiency : 0.7372925855955158 \n", - "Power : 3.6805645872928157 W\n", - "Power-Stack : 3.6805645872928157 W\n", - "Power-Thermal : 0.2554354127071847 W\n", - "VStack : 1.1501764335290048 V\n", - "Vcell : 1.1501764335290048 V\n", - "###########\n", - "I : 3.3\n", - "PEM Efficiency : 0.7355101920796727 \n", - "Power : 3.786406468826155 W\n", - "Power-Stack : 3.786406468826155 W\n", - "Power-Thermal : 0.2725935311738447 W\n", - "VStack : 1.1473958996442895 V\n", - "Vcell : 1.1473958996442895 V\n", - "###########\n", - "I : 3.4\n", - "PEM Efficiency : 0.7337683208763324 \n", - "Power : 3.891907173928067 W\n", - "Power-Stack : 3.891907173928067 W\n", - "Power-Thermal : 0.29009282607193304 W\n", - "VStack : 1.1446785805670785 V\n", - "Vcell : 1.1446785805670785 V\n", - "###########\n", - "I : 3.5\n", - "PEM Efficiency : 0.7320646182417239 \n", - "Power : 3.9970728155998123 W\n", - "Power-Stack : 3.9970728155998123 W\n", - "Power-Thermal : 0.30792718440018774 W\n", - "VStack : 1.1420208044570892 V\n", - "Vcell : 1.1420208044570892 V\n", - "###########\n", - "I : 3.6\n", - "PEM Efficiency : 0.7303969292894269 \n", - "Power : 4.101909154889422 W\n", - "Power-Stack : 4.101909154889422 W\n", - "Power-Thermal : 0.3260908451105779 W\n", - "VStack : 1.1394192096915061 V\n", - "Vcell : 1.1394192096915061 V\n", - "###########\n", - "I : 3.7\n", - "PEM Efficiency : 0.7287632761880597 \n", - "Power : 4.206421630157481 W\n", - "Power-Stack : 4.206421630157481 W\n", - "Power-Thermal : 0.3445783698425195 W\n", - "VStack : 1.136870710853373 V\n", - "Vcell : 1.136870710853373 V\n", - "###########\n", - "I : 3.8\n", - "PEM Efficiency : 0.7271618392669932 \n", - "Power : 4.310615383174736 W\n", - "Power-Stack : 4.310615383174736 W\n", - "Power-Thermal : 0.36338461682526346 W\n", - "VStack : 1.1343724692565096 V\n", - "Vcell : 1.1343724692565096 V\n", - "###########\n", - "I : 3.9\n", - "PEM Efficiency : 0.7255909405767029 \n", - "Power : 4.414495282468661 W\n", - "Power-Stack : 4.414495282468661 W\n", - "Power-Thermal : 0.38250471753133874 W\n", - "VStack : 1.1319218672996567 V\n", - "Vcell : 1.1319218672996567 V\n", - "###########\n", "Done!\n" ] } ], "source": [ - "Data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=True)" + "Data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=False)" ] }, { @@ -870,6 +630,176 @@ "Static_Analysis(InputMethod={},TestMode=True,PrintMode=False,ReportMode=True)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", + "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" + ] + } + ], + "source": [ + "import sys\n", + "!{sys.executable} -m pip install matplotlib;\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_func(x,y,x_label,y_label,color='green'):\n", + " plt.figure()\n", + " plt.plot(x,y,color=color)\n", + " plt.xlabel(x_label)\n", + " plt.ylabel(y_label)\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "Test_Vector = {\n", + " \"A\": 50.0,\n", + " \"E0\": 0.982,\n", + " \"b\": 0.0689,\n", + " \"R\": 0.328,\n", + " \"m\": 0.000125,\n", + " \"n\": 9.45,\n", + " \"N\": 1,\n", + " \"i-start\": 1,\n", + " \"i-stop\": 42.5,\n", + " \"i-step\": 0.1,\n", + " \"Name\": \"Chamberline_Test\"}\n", + "data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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b/Documents/Larminie-Dicks/Larminiee_Test.html @@ -0,0 +1,499 @@ + + +Larminiee_Test + + + +

OPEM Report (Larminie-Dicks Model)

+

What is Larminie-Dicks ?

+

+Larminie-Dicks model is obtained for large variation of the load parameters. In this model, the fuel cell is represented +by means of its voltage-current characteristic obtained in static operating mode. In fact, Larminie-Dicks static model +presents the fuel cell voltage as a function of the current magnitude. The obtained polarization curve is composed of +three main regions corresponding to the predominance of electrochemical activation phenomena (region I), a linear +part (region II) where the voltage drop is mainly due to electronic and ionic internal resistances and the last +region where the diffusion kinetics of gases through the electrodes becomes the limiting factor (region III). This +last zone is characterized by a rapid voltage fall. +

+

Inputs

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+Input + +Description + +Value +
+A + +The slope of the Tafel line [V] + +0.0587 +
+B + +Constant in the mass transfer term [V] + +0.0517 +
+E0 + +Fuel Cell reversible no loss voltage [V] + +1.178 +
+N + +Number Of Single Cells + +23 +
+RM + +The membrane and contact resistances [ohm] + +0.0018 +
+i-start + +Cell operating current start point [A] + +0.1 +
+i-step + +Cell operating current step + +0.1 +
+i-stop + +Cell operating current end point [A] + +98 +
+i_0 + +Exchange current at which the overvoltage begins to move from zero [A] + +0.00654 +
+i_L + +limiting current [A] + +100.0 +
+i_n + +Internal current [A] + +0.23 +
+

Overall Parameters

+ + + + + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+Efficiency|Pmax + +Cell efficiency at maximum power + +0.25686509413321934 +
+Pmax + +Maximum power [W] + +730.854142495743 +
+Ptotal(Elec) + +Total electrical power [W] + +1202.4207343171606 +
+Ptotal(Thermal) + +Total thermal power [W] + +1564.341265682838 +
+VFC|Pmax + +Cell voltage at maximum power [V] + +9.216319577499911 +
+

Graphs

+ +
+ +
+ + +
+ +
+ + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+K + +Slope of the curve obtained by linear approximation [A^(-1)] + +-0.1138845331475272 +
+Pmax(L-Approx) + +Maximum power obtained by linear approximation [W] + +701.5080301869865 +
+V0 + +Intercept of the curve obtained by linear approximation [V] + +17.876343531839655 +
+VFC|Pmax(L-Approx) + +Cell voltage at maximum power obtained by linear approximation [V] + +8.938171765919828 +
+ +
+ +
+ + +
+ +
+ + +
+ +
+ +

Generated By OPEM Version 0.9

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0.1943985000051282 +Power : 28.3852913767488 W +Power-Stack : 652.8617016652224 W +Power-Thermal : 1995.0822983347773 W +VStack : 6.9750181801840005 V +Vcell : 0.30326166000800003 V +########### +I :93.7 A + +PEM Efficiency : 0.19370150213731754 +Power : 28.313735970415983 W +Power-Stack : 651.2159273195676 W +Power-Thermal : 1999.5570726804324 W +VStack : 6.950009896686954 V +Vcell : 0.3021743433342154 V +########### +I :93.8 A + +PEM Efficiency : 0.19299555095836568 +Power : 28.240652980635733 W +Power-Stack : 649.5350185546218 W +Power-Thermal : 2004.0669814453777 W +VStack : 6.924680368386161 V +Vcell : 0.3010730594950505 V +########### +I :93.9 A + +PEM Efficiency : 0.1922803424387231 +Power : 28.165993681793918 W +Power-Stack : 647.8178546812601 W +Power-Thermal : 2008.61314531874 W +VStack : 6.899018686701385 V +Vcell : 0.29995733420440807 V +########### +I :94.0 A + +PEM Efficiency : 0.19155555688067272 +Power : 28.08970686098185 W +Power-Stack : 646.0632578025825 W +Power-Thermal : 2013.1967421974175 W +VStack : 6.873013380878537 V +Vcell : 0.29882666873384944 V +########### +I :94.1 A + +PEM Efficiency : 0.19082085782249725 +Power : 28.011738644911304 W +Power-Stack : 644.26998883296 W +Power-Thermal : 2017.8190111670397 W +VStack : 6.846652378671201 V +Vcell : 0.2976805382030957 V +########### +I :94.2 A + +PEM Efficiency : 0.19007589084513832 +Power : 27.93203231147477 W +Power-Stack : 642.4367431639197 W +Power-Thermal : 2022.4812568360803 W +VStack : 6.819922963523564 V +Vcell : 0.2965183897184158 V +########### +I :94.3 A + +PEM Efficiency : 0.18932028227074602 +Power : 27.850528084284903 W +Power-Stack : 640.5621459385528 W +Power-Thermal : 2027.1848540614471 W +VStack : 6.7928117278743665 V +Vcell : 0.29533964034236376 V +########### +I :94.4 A + +PEM Efficiency : 0.18855363774114886 +Power : 27.76716290831255 W +Power-Stack : 638.6447468911887 W +Power-Thermal : 2031.9312531088112 W +VStack : 6.765304522152422 V +Vcell : 0.29414367487619225 V +########### +I :94.5 A + +PEM Efficiency : 0.18777554066269989 +Power : 27.68187020449522 W +Power-Stack : 636.6830147033901 W +Power-Thermal : 2036.7219852966098 W +VStack : 6.737386398977672 V +Vcell : 0.29292984343381184 V +########### +I :94.6 A + +PEM Efficiency : 0.18698555050213356 +Power : 27.59457960090286 W +Power-Stack : 634.6753308207658 W +Power-Thermal : 2041.5586691792341 W +VStack : 6.7090415520165525 V +Vcell : 0.29169745878332837 V +########### +I :94.7 A + +PEM Efficiency : 0.1861832009159743 +Power : 27.505216637718718 W +Power-Stack : 632.6199826675305 W +Power-Thermal : 2046.4430173324697 W +VStack : 6.680253248865158 V +Vcell : 0.2904457934289199 V +########### +I :94.8 A + +PEM Efficiency : 0.18536799769359535 +Power : 27.41370244291043 W +Power-Stack : 630.5151561869399 W +Power-Thermal : 2051.37684381306 W +VStack : 6.651003757246201 V +Vcell : 0.28917407640200876 V +########### +I :94.9 A + +PEM Efficiency : 0.18453941649119746 +Power : 27.319953375022838 W +Power-Stack : 628.3589276255252 W +Power-Thermal : 2056.362072374475 W +VStack : 6.621274263704165 V +Vcell : 0.28788148972626804 V +########### +I :95.0 A + +PEM Efficiency : 0.18369690033067568 +Power : 27.223880629006135 W +Power-Stack : 626.1492544671411 W +Power-Thermal : 2061.4007455328588 W +VStack : 6.5910447838646435 V +Vcell : 0.28656716451585407 V +########### +I :95.1 A + +PEM Efficiency : 0.18283985683347834 +Power : 27.12538980038751 W +Power-Stack : 623.8839654089127 W +Power-Thermal : 2066.495034591087 W +VStack : 6.560294063185203 V +Vcell : 0.2852301766602262 V +########### +I :95.2 A + +PEM Efficiency : 0.18196765515503524 +Power : 27.02438040238459 W +Power-Stack : 621.5607492548456 W +Power-Thermal : 2071.6472507451545 W +VStack : 6.528999466962664 V +Vcell : 0.28386954204185494 V +########### +I :95.3 A + +PEM Efficiency : 0.18107962257999316 +Power : 26.920745329722422 W +Power-Stack : 619.1771425836157 W +Power-Thermal : 2076.8598574163843 W +VStack : 6.497136858170155 V +Vcell : 0.28248421122478934 V +########### +I :95.4 A + +PEM Efficiency : 0.1801750407322058 +Power : 26.814370261929795 W +Power-Stack : 616.7305160243853 W +Power-Thermal : 2082.1354839756145 W +VStack : 6.464680461471544 V +Vcell : 0.28107306354224104 V +########### +I :95.5 A + +PEM Efficiency : 0.17925314134595274 +Power : 26.705132997720042 W +Power-Stack : 614.218058947561 W +Power-Thermal : 2087.4769410524386 W +VStack : 6.431602711492785 V +Vcell : 0.2796349004996863 V +########### +I :95.6 A + +PEM Efficiency : 0.17831310153598506 +Power : 26.592902710670668 W +Power-Stack : 611.6367623454254 W +Power-Thermal : 2092.887237654574 W +VStack : 6.3978740831111445 V +Vcell : 0.2781684383961367 V +########### +I :95.7 A + +PEM Efficiency : 0.17735403849338843 +Power : 26.477539114754947 W +Power-Stack : 608.9833996393638 W +Power-Thermal : 2098.369600360636 W +VStack : 6.3634629011427775 V +Vcell : 0.27667230004968596 V +########### +I :95.8 A + +PEM Efficiency : 0.1763750035215359 +Power : 26.358891526286502 W +Power-Stack : 606.2545051045895 W +Power-Thermal : 2103.9274948954103 W +VStack : 6.328335126352709 V +Vcell : 0.27514500549359605 V +########### +I :95.9 A + +PEM Efficiency : 0.17537497531108567 +Power : 26.236797806439665 W +Power-Stack : 603.4463495481123 W +Power-Thermal : 2109.5646504518877 W +VStack : 6.292454114161754 V +Vcell : 0.27358496148529365 V +########### +I :96.0 A + +PEM Efficiency : 0.1743528523344607 +Power : 26.11108316560884 W +Power-Stack : 600.5549128090033 W +Power-Thermal : 2115.285087190997 W +VStack : 6.255780341760451 V +Vcell : 0.2719904496417587 V +########### +I :96.1 A + +PEM Efficiency : 0.17330744421773475 +Power : 25.981558807345927 W +Power-Stack : 597.5758525689563 W +Power-Thermal : 2121.0931474310437 W +VStack : 6.218271098532324 V +Vcell : 0.27035961297966626 V +########### +I :96.2 A + +PEM Efficiency : 0.17223746192036224 +Power : 25.848020385312605 W +Power-Stack : 594.5044688621899 W +Power-Thermal : 2126.9935311378104 W +VStack : 6.179880133702598 V +Vcell : 0.26869044059576513 V +########### +I :96.3 A + +PEM Efficiency : 0.17114150651945909 +Power : 25.710246241405304 W +Power-Stack : 591.335663552322 W +Power-Thermal : 2132.991336447678 W +VStack : 6.140557253918193 V +Vcell : 0.2669807501703562 V +########### +I :96.4 A + +PEM Efficiency : 0.17001805635370187 +Power : 25.567995386695106 W +Power-Stack : 588.0638938939875 W +Power-Thermal : 2139.0921061060126 W +VStack : 6.100247861970824 V +Vcell : 0.26522816791177495 V +########### +I :96.5 A + +PEM Efficiency : 0.16886545223024985 +Power : 25.42100517874181 W +Power-Stack : 584.6831191110616 W +Power-Thermal : 2145.3018808889383 W +VStack : 6.058892426021365 V +Vcell : 0.26343010547918977 V +########### +I :96.6 A + +PEM Efficiency : 0.16768188033357434 +Power : 25.26898863874832 W +Power-Stack : 581.1867386912113 W +Power-Thermal : 2151.627261308788 W +VStack : 6.016425866368648 V +Vcell : 0.261583733320376 V +########### +I :96.7 A + +PEM Efficiency : 0.1664653523940124 +Power : 25.111631339341557 W +Power-Stack : 577.5675208048558 W +Power-Thermal : 2158.075479195144 W +VStack : 5.972776843897164 V +Vcell : 0.2596859497346593 V +########### +I :96.8 A + +PEM Efficiency : 0.16521368257130242 +Power : 24.948587777727237 W +Power-Stack : 573.8175188877265 W +Power-Thermal : 2164.654481112273 W +VStack : 5.927866930658331 V +Vcell : 0.2577333448112318 V +########### +I :96.9 A + +PEM Efficiency : 0.16392446037767486 +Power : 24.779477128530846 W +Power-Stack : 569.9279739562095 W +Power-Thermal : 2171.3730260437906 W +VStack : 5.881609638350975 V +Vcell : 0.2557221581891728 V +########### +I :97.0 A + +PEM Efficiency : 0.16259501879729218 +Power : 24.603878244406257 W +Power-Stack : 565.8891996213439 W +Power-Thermal : 2178.240800378656 W +VStack : 5.833909274446844 V +Vcell : 0.25364822932377584 V +########### +I :97.1 A + +PEM Efficiency : 0.1612223965416508 +Power : 24.421323738543094 W +Power-Stack : 561.6904459864911 W +Power-Thermal : 2185.2685540135085 W +VStack : 5.7846595879144305 V +Vcell : 0.25150693860497525 V +########### +I :97.2 A + +PEM Efficiency : 0.15980329309700805 +Power : 24.231292938885527 W +Power-Stack : 557.3197375943671 W +Power-Thermal : 2192.468262405633 W +VStack : 5.733742156320649 V +Vcell : 0.2492931372313326 V +########### +I :97.3 A + +PEM Efficiency : 0.15833401484623488 +Power : 24.0332034454803 W +Power-Stack : 552.7636792460469 W +Power-Thermal : 2199.853320753953 W +VStack : 5.681024452682907 V +Vcell : 0.2470010631601264 V +########### +I :97.4 A + +PEM Efficiency : 0.15681041005016444 +Power : 23.826400944662186 W +Power-Stack : 548.0072217272303 W +Power-Thermal : 2207.43877827277 W +VStack : 5.6263575125999 V +Vcell : 0.24462423967825653 V +########### +I :97.5 A + +PEM Efficiency : 0.15522778980449747 +Power : 23.610146829264067 W +Power-Stack : 543.0333770730736 W +Power-Thermal : 2215.2416229269265 W +VStack : 5.569573098185369 V +Vcell : 0.24215535209501607 V +########### +I :97.6 A + +PEM Efficiency : 0.1535808311778899 +Power : 23.3836030318208 W +Power-Stack : 537.8228697318784 W +Power-Thermal : 2223.281130268121 W +VStack : 5.510480222662689 V +Vcell : 0.23958609663750824 V +########### +I :97.7 A + +PEM Efficiency : 0.15186345748238853 +Power : 23.145813281805804 W +Power-Stack : 532.3537054815334 W +Power-Thermal : 2231.5792945184667 W +VStack : 5.4488608544681005 V +Vcell : 0.23690699367252613 V +########### +I :97.8 A + +PEM Efficiency : 0.1500686888753255 +Power : 22.895679724330666 W +Power-Stack : 526.6006336596054 W +Power-Thermal : 2240.1613663403946 W +VStack : 5.38446455684668 V +Vcell : 0.23410715464550783 V +########### +I :97.9 A + +PEM Efficiency : 0.14818845400844755 +Power : 22.631933449986143 W +Power-Stack : 520.5344693496813 W +Power-Thermal : 2249.056530650319 W +VStack : 5.317001729823098 V +Vcell : 0.23117398825317817 V +########### diff --git a/Documents/Larminie_Dicks.ipynb b/Documents/Larminie_Dicks.ipynb index 75607907..8aeb4463 100644 --- a/Documents/Larminie_Dicks.ipynb +++ b/Documents/Larminie_Dicks.ipynb @@ -610,7 +610,7 @@ ], "source": [ "from opem.Static.Larminie_Dicks import Static_Analysis\n", - "Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + "Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False)" ] }, { @@ -633,324 +633,12 @@ "Larminie-Dicks-Model Simulation\n", "###########\n", "Analyzing . . .\n", - "I : 0.1\n", - "PEM Efficiency : 0.6070918465825977 \n", - "Power : 0.09470632806688527 W\n", - "Power-Stack : 2.178245545538361 W\n", - "Power-Thermal : 0.650754454461639 W\n", - "VStack : 21.78245545538361 V\n", - "Vcell : 0.9470632806688526 V\n", - "###########\n", - "I : 0.2\n", - "PEM Efficiency : 0.596983288796134 \n", - "Power : 0.18625878610439384 W\n", - "Power-Stack : 4.2839520804010585 W\n", - "Power-Thermal : 1.3740479195989417 W\n", - "VStack : 21.41976040200529 V\n", - "Vcell : 0.9312939305219692 V\n", - "###########\n", - "I : 0.3\n", - "PEM Efficiency : 0.5889668542476844 \n", - "Power : 0.27563648778791633 W\n", - "Power-Stack : 6.339639219122075 W\n", - "Power-Thermal : 2.1473607808779245 W\n", - "VStack : 21.132130730406917 V\n", - "Vcell : 0.9187882926263877 V\n", - "###########\n", - "I : 0.4\n", - "PEM Efficiency : 0.5823143704480743 \n", - "Power : 0.3633641671595984 W\n", - "Power-Stack : 8.357375844670763 W\n", - "Power-Thermal : 2.958624155329237 W\n", - "VStack : 20.893439611676907 V\n", - "Vcell : 0.908410417898996 V\n", - "###########\n", - "I : 0.5\n", - "PEM Efficiency : 0.576622053314997 \n", - "Power : 0.4497652015856977 W\n", - "Power-Stack : 10.344599636471047 W\n", - "Power-Thermal : 3.8004003635289525 W\n", - "VStack : 20.689199272942094 V\n", - "Vcell : 0.8995304031713954 V\n", - "###########\n", - "I : 0.6\n", - "PEM Efficiency : 0.5716425142657562 \n", - "Power : 0.5350573933527478 W\n", - "Power-Stack : 12.3063200471132 W\n", - "Power-Thermal : 4.6676799528867985 W\n", - "VStack : 20.510533411855334 V\n", - "Vcell : 0.8917623222545797 V\n", - "###########\n", - "I : 0.7\n", - "PEM Efficiency : 0.5672131517182866 \n", - "Power : 0.6193967616763688 W\n", - "Power-Stack : 14.246125518556482 W\n", - "Power-Thermal : 5.556874481443514 W\n", - "VStack : 20.35160788365212 V\n", - "Vcell : 0.884852516680527 V\n", - "###########\n", - "I : 0.8\n", - "PEM Efficiency : 0.5632213484876261 \n", - "Power : 0.7029002429125574 W\n", - "Power-Stack : 16.16670558698882 W\n", - "Power-Thermal : 6.465294413011179 W\n", - "VStack : 20.208381983736025 V\n", - "Vcell : 0.8786253036406967 V\n", - "###########\n", - "I : 0.9\n", - "PEM Efficiency : 0.5595858755325545 \n", - "Power : 0.7856585692477064 W\n", - "Power-Stack : 18.070147092697248 W\n", - "Power-Thermal : 7.390852907302754 W\n", - "VStack : 20.07794121410805 V\n", - "Vcell : 0.8729539658307849 V\n", - "###########\n", - "I : 1.0\n", - "PEM Efficiency : 0.5562462126792992 \n", - "Power : 0.8677440917797067 W\n", - "Power-Stack : 19.958114110933252 W\n", - "Power-Thermal : 8.331885889066747 W\n", - "VStack : 19.958114110933252 V\n", - "Vcell : 0.8677440917797067 V\n", - "###########\n", - "I : 1.1\n", - "PEM Efficiency : 0.5531560572234717 \n", - "Power : 0.9492157941954775 W\n", - "Power-Stack : 21.831963266495983 W\n", - "Power-Thermal : 9.287036733504017 W\n", - "VStack : 19.847239333178166 V\n", - "Vcell : 0.8629234492686159 V\n", - "###########\n", - "I : 1.2\n", - "PEM Efficiency : 0.5502791922121564 \n", - "Power : 1.0301226478211567 W\n", - "Power-Stack : 23.692820899886605 W\n", - "Power-Thermal : 10.255179100113395 W\n", - "VStack : 19.74401741657217 V\n", - "Vcell : 0.858435539850964 V\n", - "###########\n", - "I : 1.3\n", - "PEM Efficiency : 0.5475867544887774 \n", - "Power : 1.1105059381032407 W\n", - "Power-Stack : 25.541636576374536 W\n", - "Power-Thermal : 11.235363423625465 W\n", - "VStack : 19.647412751057335 V\n", - "Vcell : 0.8542353370024928 V\n", - "###########\n", - "I : 1.4\n", - "PEM Efficiency : 0.5450553693735705 \n", - "Power : 1.190400926711878 W\n", - "Power-Stack : 27.379221314373194 W\n", - "Power-Thermal : 12.226778685626805 W\n", - "VStack : 19.55658665312371 V\n", - "Vcell : 0.85028637622277 V\n", - "###########\n", - "I : 1.5\n", - "PEM Efficiency : 0.5426658416714328 \n", - "Power : 1.2698380695111529 W\n", - "Power-Stack : 29.206275598756516 W\n", - "Power-Thermal : 13.228724401243484 W\n", - "VStack : 19.47085039917101 V\n", - "Vcell : 0.8465587130074352 V\n", - "###########\n", - "I : 1.6\n", - "PEM Efficiency : 0.5404022150580957 \n", - "Power : 1.348843928785007 W\n", - "Power-Stack : 31.02341036205516 W\n", - "Power-Thermal : 14.24058963794484 W\n", - "VStack : 19.389631476284475 V\n", - "Vcell : 0.8430274554906293 V\n", - "###########\n", - "I : 1.7\n", - "PEM Efficiency : 0.5382510820424253 \n", - "Power : 1.427441869576512 W\n", - "Power-Stack : 32.83116300025978 W\n", - "Power-Thermal : 15.261836999740217 W\n", - "VStack : 19.312448823682224 V\n", - "Vcell : 0.8396716879861836 V\n", - "###########\n", - "I : 1.8\n", - "PEM Efficiency : 0.536201068437617 \n", - "Power : 1.5056526001728283 W\n", - "Power-Stack : 34.63000980397505 W\n", - "Power-Thermal : 16.29199019602495 W\n", - "VStack : 19.238894335541694 V\n", - "Vcell : 0.8364736667626824 V\n", - "###########\n", - "I : 1.9\n", - "PEM Efficiency : 0.5342424419218519 \n", - "Power : 1.583494597856369 W\n", - "Power-Stack : 36.420375750696486 W\n", - "Power-Thermal : 17.330624249303508 W\n", - "VStack : 19.168618816156048 V\n", - "Vcell : 0.833418209398089 V\n", - "###########\n", - "I : 2.0\n", - "PEM Efficiency : 0.532366810486187 \n", - "Power : 1.6609844487169034 W\n", - "Power-Stack : 38.20264232048878 W\n", - "Power-Thermal : 18.37735767951122 W\n", - "VStack : 19.10132116024439 V\n", - "Vcell : 0.8304922243584517 V\n", - "###########\n", - "I : 2.1\n", - "PEM Efficiency : 0.5305668870842597 \n", - "Power : 1.738137122088035 W\n", - "Power-Stack : 39.97715380802481 W\n", - "Power-Thermal : 19.431846191975197 W\n", - "VStack : 19.03673990858324 V\n", - "Vcell : 0.8276843438514452 V\n", - "###########\n", - "I : 2.2\n", - "PEM Efficiency : 0.5288363037744284 \n", - "Power : 1.8149661945538385 W\n", - "Power-Stack : 41.74422247473829 W\n", - "Power-Thermal : 20.49377752526172 W\n", - "VStack : 18.97464657942649 V\n", - "Vcell : 0.8249846338881083 V\n", - "###########\n", - "I : 2.3\n", - "PEM Efficiency : 0.527169463367337 \n", - "Power : 1.891484034562005 W\n", - "Power-Stack : 43.504132794926115 W\n", - "Power-Thermal : 21.562867205073875 W\n", - "VStack : 18.914840345620053 V\n", - "Vcell : 0.8223843628530457 V\n", - "###########\n", - "I : 2.4\n", - "PEM Efficiency : 0.5255614198480028 \n", - "Power : 1.9677019559109223 W\n", - "Power-Stack : 45.257144985951214 W\n", - "Power-Thermal : 22.638855014048787 W\n", - "VStack : 18.857143744146338 V\n", - "Vcell : 0.8198758149628843 V\n", - "###########\n", - "I : 2.5\n", - "PEM Efficiency : 0.5240077811244296 \n", - "Power : 2.0436303463852754 W\n", - "Power-Stack : 47.00349796686133 W\n", - "Power-Thermal : 23.721502033138655 W\n", - "VStack : 18.801399186744536 V\n", - "Vcell : 0.8174521385541103 V\n", - "###########\n", - "I : 2.6\n", - "PEM Efficiency : 0.5225046292799733 \n", - "Power : 2.1192787763595717 W\n", - "Power-Stack : 48.74341185627015 W\n", - "Power-Thermal : 24.810588143729856 W\n", - "VStack : 18.74746609856544 V\n", - "Vcell : 0.8151072216767583 V\n", - "###########\n", - "I : 2.7\n", - "PEM Efficiency : 0.52104845467996 \n", - "Power : 2.194656091111992 W\n", - "Power-Stack : 50.47709009557581 W\n", - "Power-Thermal : 25.905909904424192 W\n", - "VStack : 18.695218553916966 V\n", - "Vcell : 0.8128355893007376 V\n", - "###########\n", - "I : 2.8\n", - "PEM Efficiency : 0.5196361011410657 \n", - "Power : 2.269770489784175 W\n", - "Power-Stack : 52.20472126503602 W\n", - "Power-Thermal : 27.007278734963975 W\n", - "VStack : 18.644543308941437 V\n", - "Vcell : 0.8106323177800625 V\n", - "###########\n", - "I : 2.9\n", - "PEM Efficiency : 0.5182647200068938 \n", - "Power : 2.3446295933111876 W\n", - "Power-Stack : 53.926480646157316 W\n", - "Power-Thermal : 28.11451935384268 W\n", - "VStack : 18.59533815384735 V\n", - "Vcell : 0.8084929632107544 V\n", - "###########\n", - "I : 3.0\n", - "PEM Efficiency : 0.5169317314482642 \n", - "Power : 2.4192405031778765 W\n", - "Power-Stack : 55.64253157309116 W\n", - "Power-Thermal : 29.22746842690884 W\n", - "VStack : 18.54751052436372 V\n", - "Vcell : 0.8064135010592922 V\n", - "###########\n", - "I : 3.1\n", - "PEM Efficiency : 0.515634791665824 \n", - "Power : 2.4936098524959247 W\n", - "Power-Stack : 57.35302660740627 W\n", - "Power-Thermal : 30.345973392593724 W\n", - "VStack : 18.500976324969766 V\n", - "Vcell : 0.8043902749986854 V\n", - "###########\n", - "I : 3.2\n", - "PEM Efficiency : 0.514371764946645 \n", - "Power : 2.5677438506136525 W\n", - "Power-Stack : 59.05810856411401 W\n", - "Power-Thermal : 31.469891435885998 W\n", - "VStack : 18.455658926285626 V\n", - "Vcell : 0.8024199533167663 V\n", - "###########\n", - "I : 3.3\n", - "PEM Efficiency : 0.5131406997374682 \n", - "Power : 2.6416483222484866 W\n", - "Power-Stack : 60.75791141171519 W\n", - "Power-Thermal : 32.5990885882848 W\n", - "VStack : 18.411488306580363 V\n", - "Vcell : 0.8004994915904505 V\n", - "###########\n", - "I : 3.4\n", - "PEM Efficiency : 0.5119398080610783 \n", - "Power : 2.7153287419559593 W\n", - "Power-Stack : 62.452561064987066 W\n", - "Power-Thermal : 33.73343893501293 W\n", - "VStack : 18.36840031323149 V\n", - "Vcell : 0.7986261005752822 V\n", - "###########\n", - "I : 3.5\n", - "PEM Efficiency : 0.5107674477304784 \n", - "Power : 2.788790264608412 W\n", - "Power-Stack : 64.14217608599348 W\n", - "Power-Thermal : 34.872823914006524 W\n", - "VStack : 18.326336024569564 V\n", - "Vcell : 0.7967972184595463 V\n", - "###########\n", - "I : 3.6\n", - "PEM Efficiency : 0.5096221069165698 \n", - "Power : 2.862037752443456 W\n", - "Power-Stack : 65.82686830619949 W\n", - "Power-Thermal : 36.017131693800515 W\n", - "VStack : 18.285241196166524 V\n", - "Vcell : 0.7950104867898489 V\n", - "###########\n", - "I : 3.7\n", - "PEM Efficiency : 0.5085023907052405 \n", - "Power : 2.935075799150648 W\n", - "Power-Stack : 67.50674338046491 W\n", - "Power-Thermal : 37.16625661953508 W\n", - "VStack : 18.24506577850403 V\n", - "Vcell : 0.7932637295001752 V\n", - "###########\n", - "I : 3.8\n", - "PEM Efficiency : 0.5074070093438323 \n", - "Power : 3.007908751390238 W\n", - "Power-Stack : 69.18190128197547 W\n", - "Power-Thermal : 38.32009871802452 W\n", - "VStack : 18.205763495256704 V\n", - "Vcell : 0.7915549345763785 V\n", - "###########\n", - "I : 3.9\n", - "PEM Efficiency : 0.5063347679284521 \n", - "Power : 3.080540728076703 W\n", - "Power-Stack : 70.85243674576417 W\n", - "Power-Thermal : 39.47856325423582 W\n", - "VStack : 18.167291473272865 V\n", - "Vcell : 0.7898822379683854 V\n", - "###########\n", "Done!\n" ] } ], "source": [ - "Data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=True)" + "Data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=False)" ] }, { @@ -981,6 +669,177 @@ "Static_Analysis(InputMethod={},TestMode=True,PrintMode=False,ReportMode=True)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" + ] + } + ], + "source": [ + "import sys\n", + "!{sys.executable} -m pip install matplotlib;\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_func(x,y,x_label,y_label,color='green'):\n", + " plt.figure()\n", + " plt.plot(x,y,color=color)\n", + " plt.xlabel(x_label)\n", + " plt.ylabel(y_label)\n", + " plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "Test_Vector = {\n", + " \"A\": 0.0587,\n", + " \"E0\": 1.178,\n", + " \"B\": 0.0517,\n", + " \"RM\": 0.0018,\n", + " \"i_0\": 0.00654,\n", + " \"i_L\": 100.0,\n", + " \"i_n\": 0.23,\n", + " \"N\": 23,\n", + " \"i-start\": 0.1,\n", + " \"i-stop\": 98,\n", + " \"i-step\": 0.1,\n", + " \"Name\": \"Larminiee_Test\"}\n", + "data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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OPEM Report (Padulles-I Model)

+

What is Padulles-I ?

+

+In this model, Nernst and fuel cell potential were modeled as a function of oxygen and hydrogen gases partial pressure +that can be calculated from independent variables or constants. The partial pressure of gases is proportional to +the molar flow of each gas. +

+

Inputs

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+Input + +Description + +Value +
+B + +Activation voltage constant [V] + +0.04777 +
+C + +Constant [A^(-1)] + +0.0136 +
+E0 + +Opencell voltage [V] + +0.6 +
+KH2 + +Hydrogen Valve Constant [kmol.s^(-1).atm^(-1)] + +4.22e-05 +
+KO2 + +Oxygen Valve Constant [kmol.s^(-1).atm^(-1)] + +2.11e-05 +
+N0 + +Number of fuel cells in the stack + +88 +
+Rint + +Fuel cell internal resistance [ohm] + +0.00303 +
+T + +Cell Operation Temperature [K] + +343 +
+i-start + +Cell operating current start point [A] + +0 +
+i-step + +Cell operating current step + +0.1 +
+i-stop + +Cell operating current end point [A] + +100 +
+qH2 + +Molar flow of hydrogen [kmol.s^(-1)] + +0.0004 +
+rho + +Hydrogen-Oxygen flow rate + +1.168 +
+tH2 + +Hydrogen time constant [s] + +3.37 +
+tO2 + +Oxygen time constant [s] + +6.74 +
+

Overall Parameters

+ + + + + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+Efficiency|Pmax + +Cell efficiency at maximum power + +0.3916750510650302 +
+Pmax + +Maximum power [W] + +5371.538185919714 +
+Ptotal(Elec) + +Total electrical power [W] + +5396.239669420725 +
+Ptotal(Thermal) + +Total thermal power [W] + +5406.112330579272 +
+VFC|Pmax + +Cell voltage at maximum power [V] + +53.769151010207345 +
+

Graphs

+ +
+ +
+ + +
+ +
+ + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+K + +Slope of the curve obtained by linear approximation [A^(-1)] + +-0.006476306259911604 +
+Pmax(L-Approx) + +Maximum power obtained by linear approximation [W] + +114214.7436320723 +
+V0 + +Intercept of the curve obtained by linear approximation [V] + +54.39447248236125 +
+VFC|Pmax(L-Approx) + +Cell voltage at maximum power obtained by linear approximation [V] + +27.197236241180626 +
+ +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ +

Warning : There are errors in the simulations in some of I amounts; please refer to the .opem file for review. If you are confident about this parameters, ignore this error.

+

Generated By OPEM Version 0.9

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5137.328337314816 W +FC Voltage : 53.7940140032965 V +PH2 : 1.9328739056839404 atm +PO2 : 1.9636421718043562 atm +Power-Thermal : 5199.591662685183 W +########### +I :95.6 A + +E : 54.095655393546515 V +FC Efficiency : 0.39185204234855814 +FC Power : 5142.653664517123 W +FC Voltage : 53.79344837361007 V +PH2 : 1.932626618967527 atm +PO2 : 1.9635025538520658 atm +Power-Thermal : 5205.090335482877 W +########### +I :95.7 A + +E : 54.09544273405132 V +FC Efficiency : 0.3918479222873807 +FC Power : 5147.9788812432325 W +FC Voltage : 53.79288277161162 V +PH2 : 1.9323793322511138 atm +PO2 : 1.9633629358997757 atm +Power-Thermal : 5210.589118756768 W +########### +I :95.8 A + +E : 54.09523004996973 V +FC Efficiency : 0.39184380242705474 +FC Power : 5153.303987490426 W +FC Voltage : 53.79231719718608 V +PH2 : 1.9321320455347004 atm +PO2 : 1.9632233179474858 atm +Power-Thermal : 5216.088012509573 W +########### +I :95.9 A + +E : 54.095017341295815 V +FC Efficiency : 0.39183968276674425 +FC Power : 5158.628983255969 W +FC Voltage : 53.79175165021865 V +PH2 : 1.931884758818287 atm +PO2 : 1.9630836999951955 atm +Power-Thermal : 5221.587016744032 W +########### +I :96.0 A + +E : 54.09480460802368 V +FC Efficiency : 0.39183556330561586 +FC Power : 5163.953868537115 W +FC Voltage : 53.79118613059495 V +PH2 : 1.9316374721018739 atm +PO2 : 1.9629440820429054 atm +Power-Thermal : 5227.086131462884 W +########### +I :96.1 A + +E : 54.09459185014739 V +FC Efficiency : 0.3918314440428387 +FC Power : 5169.278643331106 W +FC Voltage : 53.7906206382009 V +PH2 : 1.931390185385461 atm +PO2 : 1.962804464090615 atm +Power-Thermal : 5232.585356668893 W +########### +I :96.2 A + +E : 54.09437906766101 V +FC Efficiency : 0.391827324977584 +FC Power : 5174.603307635167 W +FC Voltage : 53.79005517292273 V +PH2 : 1.9311428986690475 atm +PO2 : 1.9626648461383247 atm +Power-Thermal : 5238.084692364833 W +########### +I :96.3 A + +E : 54.09416626055862 V +FC Efficiency : 0.39182320610902566 +FC Power : 5179.92786144651 W +FC Voltage : 53.78948973464704 V +PH2 : 1.9308956119526341 atm +PO2 : 1.9625252281860348 atm +Power-Thermal : 5243.5841385534895 W +########### +I :96.4 A + +E : 54.09395342883428 V +FC Efficiency : 0.39181908743634003 +FC Power : 5185.252304762337 W +FC Voltage : 53.78892432326076 V +PH2 : 1.930648325236221 atm +PO2 : 1.9623856102337447 atm +Power-Thermal : 5249.083695237663 W +########### +I :96.5 A + +E : 54.093740572482076 V +FC Efficiency : 0.39181496895870577 +FC Power : 5190.576637579834 W +FC Voltage : 53.78835893865113 V +PH2 : 1.9304010385198076 atm +PO2 : 1.9622459922814544 atm +Power-Thermal : 5254.583362420166 W +########### +I :96.6 A + +E : 54.09352769149605 V +FC Efficiency : 0.39181085067530397 +FC Power : 5195.900859896174 W +FC Voltage : 53.78779358070573 V +PH2 : 1.9301537518033947 atm +PO2 : 1.9621063743291642 atm +Power-Thermal : 5260.083140103826 W +########### +I :96.7 A + +E : 54.093314785870284 V +FC Efficiency : 0.3918067325853183 +FC Power : 5201.224971708519 W +FC Voltage : 53.7872282493125 V +PH2 : 1.9299064650869813 atm +PO2 : 1.9619667563768743 atm +Power-Thermal : 5265.583028291481 W +########### +I :96.8 A + +E : 54.09310185559883 V +FC Efficiency : 0.3918026146879345 +FC Power : 5206.548973014013 W +FC Voltage : 53.78666294435965 V +PH2 : 1.929659178370568 atm +PO2 : 1.961827138424584 atm +Power-Thermal : 5271.083026985985 W +########### +I :96.9 A + +E : 54.09288890067574 V +FC Efficiency : 0.3917984969823407 +FC Power : 5211.872863809793 W +FC Voltage : 53.78609766573573 V +PH2 : 1.9294118916541547 atm +PO2 : 1.9616875204722939 atm +Power-Thermal : 5276.583136190207 W +########### +I :97.0 A + +E : 54.09267592109508 V +FC Efficiency : 0.39179437946772777 +FC Power : 5217.196644092978 W +FC Voltage : 53.78553241332967 V +PH2 : 1.9291646049377418 atm +PO2 : 1.9615479025200036 atm +Power-Thermal : 5282.0833559070215 W +########### +I :97.1 A + +E : 54.0924629168509 V +FC Efficiency : 0.3917902621432885 +FC Power : 5222.520313860675 W +FC Voltage : 53.78496718703064 V +PH2 : 1.9289173182213284 atm +PO2 : 1.9614082845677137 atm +Power-Thermal : 5287.5836861393245 W +########### +I :97.2 A + +E : 54.092249887937236 V +FC Efficiency : 0.39178614500821807 +FC Power : 5227.843873109979 W +FC Voltage : 53.78440198672818 V +PH2 : 1.9286700315049152 atm +PO2 : 1.9612686666154233 atm +Power-Thermal : 5293.084126890021 W +########### +I :97.3 A + +E : 54.09203683434817 V +FC Efficiency : 0.39178202806171447 +FC Power : 5233.167321837974 W +FC Voltage : 53.78383681231217 V +PH2 : 1.9284227447885018 atm +PO2 : 1.9611290486631332 atm +Power-Thermal : 5298.584678162026 W +########### +I :97.4 A + +E : 54.09182375607773 V +FC Efficiency : 0.3917779113029774 +FC Power : 5238.490660041725 W +FC Voltage : 53.78327166367274 V +PH2 : 1.928175458072089 atm +PO2 : 1.9609894307108429 atm +Power-Thermal : 5304.085339958275 W +########### +I :97.5 A + +E : 54.09161065311996 V +FC Efficiency : 0.3917737947312092 +FC Power : 5243.813887718289 W +FC Voltage : 53.7827065407004 V +PH2 : 1.9279281713556755 atm +PO2 : 1.960849812758553 atm +Power-Thermal : 5309.5861122817105 W +########### +I :97.6 A + +E : 54.091397525468906 V +FC Efficiency : 0.3917696783456146 +FC Power : 5249.13700486471 W +FC Voltage : 53.78214144328597 V +PH2 : 1.9276808846392621 atm +PO2 : 1.9607101948062629 atm +Power-Thermal : 5315.086995135288 W +########### +I :97.7 A + +E : 54.0911843731186 V +FC Efficiency : 0.39176556214540015 +FC Power : 5254.460011478016 W +FC Voltage : 53.78157637132053 V +PH2 : 1.927433597922849 atm +PO2 : 1.9605705768539725 atm +Power-Thermal : 5320.587988521984 W +########### +I :97.8 A + +E : 54.090971196063094 V +FC Efficiency : 0.39176144612977526 +FC Power : 5259.7829075552245 W +FC Voltage : 53.78101132469555 V +PH2 : 1.9271863112064358 atm +PO2 : 1.9604309589016824 atm +Power-Thermal : 5326.089092444775 W +########### +I :97.9 A + +E : 54.090757994296425 V +FC Efficiency : 0.39175733029795134 +FC Power : 5265.105693093341 W +FC Voltage : 53.78044630330276 V +PH2 : 1.9269390244900224 atm +PO2 : 1.960291340949392 atm +Power-Thermal : 5331.59030690666 W +########### +I :98.0 A + +E : 54.090544767812624 V +FC Efficiency : 0.39175321464914203 +FC Power : 5270.428368089354 W +FC Voltage : 53.77988130703422 V +PH2 : 1.926691737773609 atm +PO2 : 1.9601517229971022 atm +Power-Thermal : 5337.091631910645 W +########### +I :98.1 A + +E : 54.090331516605715 V +FC Efficiency : 0.39174909918256334 +FC Power : 5275.7509325402425 W +FC Voltage : 53.77931633578229 V +PH2 : 1.926444451057196 atm +PO2 : 1.960012105044812 atm +Power-Thermal : 5342.593067459757 W +########### +I :98.2 A + +E : 54.090118240669725 V +FC Efficiency : 0.39174498389743334 +FC Power : 5281.073386442974 W +FC Voltage : 53.77875138943965 V +PH2 : 1.9261971643407827 atm +PO2 : 1.9598724870925217 atm +Power-Thermal : 5348.094613557027 W +########### +I :98.3 A + +E : 54.08990493999869 V +FC Efficiency : 0.39174086879297254 +FC Power : 5286.395729794499 W +FC Voltage : 53.778186467899275 V +PH2 : 1.9259498776243695 atm +PO2 : 1.9597328691402314 atm +Power-Thermal : 5353.5962702055 W +########### +I :98.4 A + +E : 54.089691614586634 V +FC Efficiency : 0.3917367538684037 +FC Power : 5291.717962591759 W +FC Voltage : 53.77762157105446 V +PH2 : 1.9257025909079561 atm +PO2 : 1.9595932511879415 atm +Power-Thermal : 5359.098037408241 W +########### +I :98.5 A + +E : 54.08947826442758 V +FC Efficiency : 0.39173263912295164 +FC Power : 5297.040084831682 W +FC Voltage : 53.7770566987988 V +PH2 : 1.9254553041915432 atm +PO2 : 1.9594536332356514 atm +Power-Thermal : 5364.599915168317 W +########### +I :98.6 A + +E : 54.08926488951555 V +FC Efficiency : 0.39172852455584345 +FC Power : 5302.362096511182 W +FC Voltage : 53.776491851026194 V +PH2 : 1.9252080174751298 atm +PO2 : 1.959314015283361 atm +Power-Thermal : 5370.101903488817 W +########### +I :98.7 A + +E : 54.08905148984455 V +FC Efficiency : 0.3917244101663085 +FC Power : 5307.683997627163 W +FC Voltage : 53.77592702763083 V +PH2 : 1.9249607307587167 atm +PO2 : 1.959174397331071 atm +Power-Thermal : 5375.6040023728365 W +########### +I :98.8 A + +E : 54.08883806540861 V +FC Efficiency : 0.3917202959535782 +FC Power : 5313.005788176512 W +FC Voltage : 53.77536222850721 V +PH2 : 1.9247134440423033 atm +PO2 : 1.959034779378781 atm +Power-Thermal : 5381.106211823487 W +########### +I :98.9 A + +E : 54.08862461620174 V +FC Efficiency : 0.39171618191688623 +FC Power : 5318.32746815611 W +FC Voltage : 53.77479745355014 V +PH2 : 1.9244661573258903 atm +PO2 : 1.9588951614264907 atm +Power-Thermal : 5386.608531843891 W +########### +I :99.0 A + +E : 54.08841114221796 V +FC Efficiency : 0.3917120680554685 +FC Power : 5323.649037562816 W +FC Voltage : 53.774232702654714 V +PH2 : 1.924218870609477 atm +PO2 : 1.9587555434742006 atm +Power-Thermal : 5392.110962437183 W +########### +I :99.1 A + +E : 54.08819764345126 V +FC Efficiency : 0.39170795436856304 +FC Power : 5328.970496393488 W +FC Voltage : 53.773667975716336 V +PH2 : 1.9239715838930638 atm +PO2 : 1.9586159255219102 atm +Power-Thermal : 5397.613503606511 W +########### +I :99.2 A + +E : 54.08798411989566 V +FC Efficiency : 0.39170384085540993 +FC Power : 5334.291844644963 W +FC Voltage : 53.77310327263068 V +PH2 : 1.9237242971766504 atm +PO2 : 1.9584763075696203 atm +Power-Thermal : 5403.116155355036 W +########### +I :99.3 A + +E : 54.08777057154518 V +FC Efficiency : 0.39169972751525167 +FC Power : 5339.613082314069 W +FC Voltage : 53.77253859329375 V +PH2 : 1.9234770104602374 atm +PO2 : 1.95833668961733 atm +Power-Thermal : 5408.61891768593 W +########### +I :99.4 A + +E : 54.08755699839379 V +FC Efficiency : 0.39169561434733263 +FC Power : 5344.934209397621 W +FC Voltage : 53.77197393760182 V +PH2 : 1.923229723743824 atm +PO2 : 1.9581970716650399 atm +Power-Thermal : 5414.1217906023785 W +########### +I :99.5 A + +E : 54.08734340043549 V +FC Efficiency : 0.3916915013508992 +FC Power : 5350.255225892419 W +FC Voltage : 53.77140930545144 V +PH2 : 1.922982437027411 atm +PO2 : 1.9580574537127495 atm +Power-Thermal : 5419.624774107581 W +########### +I :99.6 A + +E : 54.08712977766432 V +FC Efficiency : 0.39168738852520046 +FC Power : 5355.5761317952565 W +FC Voltage : 53.77084469673952 V +PH2 : 1.9227351503109975 atm +PO2 : 1.9579178357604594 atm +Power-Thermal : 5425.127868204742 W +########### +I :99.7 A + +E : 54.08691613007425 V +FC Efficiency : 0.39168327586948715 +FC Power : 5360.89692710291 W +FC Voltage : 53.77028011136319 V +PH2 : 1.9224878635945841 atm +PO2 : 1.9577782178081695 atm +Power-Thermal : 5430.631072897089 W +########### +I :99.8 A + +E : 54.08670245765926 V +FC Efficiency : 0.3916791633830119 +FC Power : 5366.217611812143 W +FC Voltage : 53.769715549219875 V +PH2 : 1.922240576878171 atm +PO2 : 1.9576385998558792 atm +Power-Thermal : 5436.134388187856 W +########### +I :99.9 A + +E : 54.086488760413374 V +FC Efficiency : 0.3916750510650302 +FC Power : 5371.538185919714 W +FC Voltage : 53.769151010207345 V +PH2 : 1.9219932901617578 atm +PO2 : 1.957498981903589 atm +Power-Thermal : 5441.637814080286 W +########### diff --git a/Documents/Padulles1.ipynb b/Documents/Padulles1.ipynb index 96f8b2c0..b8f89de4 100644 --- a/Documents/Padulles1.ipynb +++ b/Documents/Padulles1.ipynb @@ -252,7 +252,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Power Of PEMFC" + "## Power of PEMFC" ] }, { @@ -816,7 +816,7 @@ ], "source": [ "from opem.Dynamic.Padulles1 import Dynamic_Analysis\n", - "Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + "Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False)" ] }, { @@ -842,379 +842,12 @@ "[Error] Vcell Calculation Error (Enernst:54.28850557413407, B:0.04777, C:0.0136, I:0, Rint:0.00303)\n", "[Error] PEM Efficiency Calculation Failed (Vcell:None, N:88)\n", "[Error] Power Calculation Error (Vcell:None, i:0)\n", - "I : 0\n", - "E : 54.28850557413407 V\n", - "FC Efficiency : None \n", - "FC Power : None W\n", - "FC Voltage : None V\n", - "PH2 : 2.169032719858579 atm\n", - "PO2 : 2.0969773162414582 atm\n", - "Power-Thermal : None W\n", - "###########\n", - "I : 0.1\n", - "E : 54.288313997298886 V\n", - "FC Efficiency : 0.3977513543332525 \n", - "FC Power : 5.4603305922868905 W\n", - "FC Voltage : 54.6033059228689 V\n", - "PH2 : 2.168785433142166 atm\n", - "PO2 : 2.096837698289168 atm\n", - "Power-Thermal : 5.36366940771311 W\n", - "###########\n", - "I : 0.2\n", - "E : 54.28812240067271 V\n", - "FC Efficiency : 0.39750655365258875 \n", - "FC Power : 10.913939937085477 W\n", - "FC Voltage : 54.56969968542738 V\n", - "PH2 : 2.1685381464257527 atm\n", - "PO2 : 2.096698080336878 atm\n", - "Power-Thermal : 10.734060062914523 W\n", - "###########\n", - "I : 0.3\n", - "E : 54.287930784251316 V\n", - "FC Efficiency : 0.39736185898012566 \n", - "FC Power : 16.364950800237498 W\n", - "FC Voltage : 54.54983600079166 V\n", - "PH2 : 2.168290859709339 atm\n", - "PO2 : 2.096558462384588 atm\n", - "Power-Thermal : 16.1070491997625 W\n", - "###########\n", - "I : 0.4\n", - "E : 54.28773914803044 V\n", - "FC Efficiency : 0.3972581497084044 \n", - "FC Power : 21.814239516787904 W\n", - "FC Voltage : 54.535598791969754 V\n", - "PH2 : 2.1680435729929264 atm\n", - "PO2 : 2.0964188444322978 atm\n", - "Power-Thermal : 21.4817604832121 W\n", - "###########\n", - "I : 0.5\n", - "E : 54.28754749200584 V\n", - "FC Efficiency : 0.3971768980805572 \n", - "FC Power : 27.262222284249443 W\n", - "FC Voltage : 54.524444568498886 V\n", - "PH2 : 2.1677962862765128 atm\n", - "PO2 : 2.0962792264800076 atm\n", - "Power-Thermal : 26.857777715750554 W\n", - "###########\n", - "I : 0.6\n", - "E : 54.28735581617328 V\n", - "FC Efficiency : 0.3971098513395853 \n", - "FC Power : 32.709144235138965 W\n", - "FC Voltage : 54.515240391898274 V\n", - "PH2 : 2.1675489995600996 atm\n", - "PO2 : 2.0961396085277175 atm\n", - "Power-Thermal : 32.23485576486103 W\n", - "###########\n", - "I : 0.7\n", - "E : 54.287164120528516 V\n", - "FC Efficiency : 0.3970526072135646 \n", - "FC Power : 38.155167342794705 W\n", - "FC Voltage : 54.507381918278156 V\n", - "PH2 : 2.1673017128436864 atm\n", - "PO2 : 2.0959999905754274 atm\n", - "Power-Thermal : 37.61283265720528 W\n", - "###########\n", - "I : 0.8\n", - "E : 54.28697240506729 V\n", - "FC Efficiency : 0.39700253793845613 \n", - "FC Power : 43.60040672655301 W\n", - "FC Voltage : 54.50050840819126 V\n", - "PH2 : 2.1670544261272733 atm\n", - "PO2 : 2.0958603726231373 atm\n", - "Power-Thermal : 42.991593273446995 W\n", - "###########\n", - "I : 0.9\n", - "E : 54.286780669785365 V\n", - "FC Efficiency : 0.39695794855256433 \n", - "FC Power : 49.044948459566434 W\n", - "FC Voltage : 54.49438717729603 V\n", - "PH2 : 2.16680713941086 atm\n", - "PO2 : 2.0957207546708467 atm\n", - "Power-Thermal : 48.37105154043357 W\n", - "###########\n", - "I : 1.0\n", - "E : 54.28658891467849 V\n", - "FC Efficiency : 0.39691768174793257 \n", - "FC Power : 54.48885935035618 W\n", - "FC Voltage : 54.48885935035618 V\n", - "PH2 : 2.166559852694447 atm\n", - "PO2 : 2.0955811367185566 atm\n", - "Power-Thermal : 53.751140649643816 W\n", - "###########\n", - "I : 1.1\n", - "E : 54.2863971397424 V\n", - "FC Efficiency : 0.39688091206389015 \n", - "FC Power : 59.93219276894392 W\n", - "FC Voltage : 54.483811608130836 V\n", - "PH2 : 2.1663125659780333 atm\n", - "PO2 : 2.095441518766267 atm\n", - "Power-Thermal : 59.13180723105608 W\n", - "###########\n", - "I : 1.2\n", - "E : 54.286205344972856 V\n", - "FC Efficiency : 0.3968470300107991 \n", - "FC Power : 65.37499233585899 W\n", - "FC Voltage : 54.4791602798825 V\n", - "PH2 : 2.16606527926162 atm\n", - "PO2 : 2.0953019008139764 atm\n", - "Power-Thermal : 64.51300766414099 W\n", - "###########\n", - "I : 1.3\n", - "E : 54.286013530365594 V\n", - "FC Efficiency : 0.3968155727355017 \n", - "FC Power : 70.81729437266857 W\n", - "FC Voltage : 54.47484182512967 V\n", - "PH2 : 2.165817992545207 atm\n", - "PO2 : 2.0951622828616863 atm\n", - "Power-Thermal : 69.89470562733142 W\n", - "###########\n", - "I : 1.4\n", - "E : 54.28582169591637 V\n", - "FC Efficiency : 0.3967861804549145 \n", - "FC Power : 76.25912959399092 W\n", - "FC Voltage : 54.470806852850664 V\n", - "PH2 : 2.165570705828794 atm\n", - "PO2 : 2.095022664909396 atm\n", - "Power-Thermal : 75.27687040600905 W\n", - "###########\n", - "I : 1.5\n", - "E : 54.28562984162091 V\n", - "FC Efficiency : 0.3967585679566162 \n", - "FC Power : 81.7005243136264 W\n", - "FC Voltage : 54.46701620908427 V\n", - "PH2 : 2.1653234191123807 atm\n", - "PO2 : 2.094883046957106 atm\n", - "Power-Thermal : 80.65947568637358 W\n", - "###########\n", - "I : 1.6\n", - "E : 54.28543796747497 V\n", - "FC Efficiency : 0.39673250531602267 \n", - "FC Power : 87.14150132765376 W\n", - "FC Voltage : 54.46343832978359 V\n", - "PH2 : 2.1650761323959675 atm\n", - "PO2 : 2.094743429004816 atm\n", - "Power-Thermal : 86.04249867234626 W\n", - "###########\n", - "I : 1.7\n", - "E : 54.28524607347429 V\n", - "FC Efficiency : 0.3967078044696878 \n", - "FC Power : 92.58208057591786 W\n", - "FC Voltage : 54.46004739759874 V\n", - "PH2 : 2.164828845679554 atm\n", - "PO2 : 2.094603811052526 atm\n", - "Power-Thermal : 91.42591942408212 W\n", - "###########\n", - "I : 1.8\n", - "E : 54.285054159614596 V\n", - "FC Efficiency : 0.3966843096322109 \n", - "FC Power : 98.02227964735785 W\n", - "FC Voltage : 54.456822026309915 V\n", - "PH2 : 2.164581558963141 atm\n", - "PO2 : 2.0944641931002357 atm\n", - "Power-Thermal : 96.80972035264215 W\n", - "###########\n", - "I : 1.9\n", - "E : 54.284862225891644 V\n", - "FC Efficiency : 0.3966618903075967 \n", - "FC Power : 103.46211417271105 W\n", - "FC Voltage : 54.45374430142687 V\n", - "PH2 : 2.1643342722467276 atm\n", - "PO2 : 2.094324575147945 atm\n", - "Power-Thermal : 102.19388582728892 W\n", - "###########\n", - "I : 2.0\n", - "E : 54.28467027230115 V\n", - "FC Efficiency : 0.39664043609530514 \n", - "FC Power : 108.90159813432699 W\n", - "FC Voltage : 54.450799067163494 V\n", - "PH2 : 2.1640869855303144 atm\n", - "PO2 : 2.0941849571956554 atm\n", - "Power-Thermal : 107.578401865673 W\n", - "###########\n", - "I : 2.1\n", - "E : 54.28447829883886 V\n", - "FC Efficiency : 0.3966198527648516 \n", - "FC Power : 114.34074411387355 W\n", - "FC Voltage : 54.44797338755883 V\n", - "PH2 : 2.1638396988139013 atm\n", - "PO2 : 2.094045339243365 atm\n", - "Power-Thermal : 112.96325588612645 W\n", - "###########\n", - "I : 2.2\n", - "E : 54.2842863055005 V\n", - "FC Efficiency : 0.3966000592444172 \n", - "FC Power : 119.77956349276191 W\n", - "FC Voltage : 54.44525613307359 V\n", - "PH2 : 2.1635924120974876 atm\n", - "PO2 : 2.0939057212910748 atm\n", - "Power-Thermal : 118.34843650723809 W\n", - "###########\n", - "I : 2.3\n", - "E : 54.284094292281814 V\n", - "FC Efficiency : 0.39658098527940633 \n", - "FC Power : 125.21806661606087 W\n", - "FC Voltage : 54.4426376591569 V\n", - "PH2 : 2.163345125381075 atm\n", - "PO2 : 2.0937661033387847 atm\n", - "Power-Thermal : 123.7339333839391 W\n", - "###########\n", - "I : 2.4\n", - "E : 54.28390225917852 V\n", - "FC Efficiency : 0.3965625695896912 \n", - "FC Power : 130.65626292785475 W\n", - "FC Voltage : 54.44010955327281 V\n", - "PH2 : 2.1630978386646613 atm\n", - "PO2 : 2.0936264853864945 atm\n", - "Power-Thermal : 129.11973707214523 W\n", - "###########\n", - "I : 2.5\n", - "E : 54.28371020618635 V\n", - "FC Efficiency : 0.3965447584032809 \n", - "FC Power : 136.09416108400603 W\n", - "FC Voltage : 54.43766443360241 V\n", - "PH2 : 2.162850551948248 atm\n", - "PO2 : 2.0934868674342044 atm\n", - "Power-Thermal : 134.50583891599396 W\n", - "###########\n", - "I : 2.6\n", - "E : 54.28351813330103 V\n", - "FC Efficiency : 0.3965275042777518 \n", - "FC Power : 141.5317690468494 W\n", - "FC Voltage : 54.435295787249764 V\n", - "PH2 : 2.162603265231835 atm\n", - "PO2 : 2.0933472494819143 atm\n", - "Power-Thermal : 139.8922309531506 W\n", - "###########\n", - "I : 2.7\n", - "E : 54.2833260405183 V\n", - "FC Efficiency : 0.39651076514422556 \n", - "FC Power : 146.9690941652981 W\n", - "FC Voltage : 54.432997838999285 V\n", - "PH2 : 2.162355978515422 atm\n", - "PO2 : 2.093207631529624 atm\n", - "Power-Thermal : 145.27890583470193 W\n", - "###########\n", - "I : 2.8\n", - "E : 54.28313392783386 V\n", - "FC Efficiency : 0.3964945035252972 \n", - "FC Power : 152.40614324306785 W\n", - "FC Voltage : 54.4307654439528 V\n", - "PH2 : 2.1621086917990087 atm\n", - "PO2 : 2.093068013577334 atm\n", - "Power-Thermal : 150.66585675693213 W\n", - "###########\n", - "I : 2.9\n", - "E : 54.28294179524345 V\n", - "FC Efficiency : 0.39647868589026086 \n", - "FC Power : 157.84292259714354 W\n", - "FC Voltage : 54.428593999015014 V\n", - "PH2 : 2.1618614050825955 atm\n", - "PO2 : 2.092928395625044 atm\n", - "Power-Thermal : 156.05307740285645 W\n", - "###########\n", - "I : 3.0\n", - "E : 54.282749642742786 V\n", - "FC Efficiency : 0.39646328211968823 \n", - "FC Power : 163.2794381081724 W\n", - "FC Voltage : 54.4264793693908 V\n", - "PH2 : 2.161614118366182 atm\n", - "PO2 : 2.0927887776727534 atm\n", - "Power-Thermal : 161.4405618918276 W\n", - "###########\n", - "I : 3.1\n", - "E : 54.282557470327596 V\n", - "FC Efficiency : 0.3964482650578333 \n", - "FC Power : 168.71569526413202 W\n", - "FC Voltage : 54.42441782713936 V\n", - "PH2 : 2.1613668316497687 atm\n", - "PO2 : 2.0926491597204633 atm\n", - "Power-Thermal : 166.828304735868 W\n", - "###########\n", - "I : 3.2\n", - "E : 54.282365277993584 V\n", - "FC Efficiency : 0.39643361013612227 \n", - "FC Power : 174.15169919835796 W\n", - "FC Voltage : 54.42240599948686 V\n", - "PH2 : 2.1611195449333556 atm\n", - "PO2 : 2.0925095417681736 atm\n", - "Power-Thermal : 172.21630080164203 W\n", - "###########\n", - "I : 3.3\n", - "E : 54.282173065736494 V\n", - "FC Efficiency : 0.39641929505459833 \n", - "FC Power : 179.58745472281433 W\n", - "FC Voltage : 54.420440825095255 V\n", - "PH2 : 2.1608722582169424 atm\n", - "PO2 : 2.092369923815883 atm\n", - "Power-Thermal : 177.60454527718562 W\n", - "###########\n", - "I : 3.4\n", - "E : 54.28198083355201 V\n", - "FC Efficiency : 0.3964052995109346 \n", - "FC Power : 185.02296635732776 W\n", - "FC Voltage : 54.41851951686111 V\n", - "PH2 : 2.1606249715005292 atm\n", - "PO2 : 2.092230305863593 atm\n", - "Power-Thermal : 182.9930336426722 W\n", - "###########\n", - "I : 3.5\n", - "E : 54.28178858143586 V\n", - "FC Efficiency : 0.3963916049687393 \n", - "FC Power : 190.45823835537988 W\n", - "FC Voltage : 54.41663953010853 V\n", - "PH2 : 2.160377684784116 atm\n", - "PO2 : 2.092090687911303 atm\n", - "Power-Thermal : 188.38176164462013 W\n", - "###########\n", - "I : 3.6\n", - "E : 54.281596309383765 V\n", - "FC Efficiency : 0.39637819445850625 \n", - "FC Power : 195.89327472694944 W\n", - "FC Voltage : 54.414798535263735 V\n", - "PH2 : 2.1601303980677025 atm\n", - "PO2 : 2.0919510699590127 atm\n", - "Power-Thermal : 193.77072527305054 W\n", - "###########\n", - "I : 3.7\n", - "E : 54.281404017391424 V\n", - "FC Efficiency : 0.39636505240584513 \n", - "FC Power : 201.32807925881536 W\n", - "FC Voltage : 54.41299439427442 V\n", - "PH2 : 2.1598831113512893 atm\n", - "PO2 : 2.0918114520067226 atm\n", - "Power-Thermal : 199.15992074118464 W\n", - "###########\n", - "I : 3.8\n", - "E : 54.28121170545457 V\n", - "FC Efficiency : 0.3963521644826228 \n", - "FC Power : 206.76265553266293 W\n", - "FC Voltage : 54.41122514017446 V\n", - "PH2 : 2.159635824634876 atm\n", - "PO2 : 2.0916718340544325 atm\n", - "Power-Thermal : 204.54934446733702 W\n", - "###########\n", - "I : 3.9\n", - "E : 54.28101937356888 V\n", - "FC Efficiency : 0.39633951747744234 \n", - "FC Power : 212.1970069412828 W\n", - "FC Voltage : 54.40948895930328 V\n", - "PH2 : 2.159388537918463 atm\n", - "PO2 : 2.0915322161021423 atm\n", - "Power-Thermal : 209.9389930587172 W\n", - "###########\n", - "Warning : There are errors in the simulations in some of I amounts; please refer to the .opem file for review. If you are confident about this parameters, ignore this error.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ "Done!\n" ] } ], "source": [ - "Data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=True)" + "Data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=False)" ] }, { @@ -1245,6 +878,210 @@ "Dynamic_Analysis(InputMethod={},TestMode=True,PrintMode=False,ReportMode=True)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" + ] + } + ], + "source": [ + "import sys\n", + "!{sys.executable} -m pip install matplotlib;\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_func(x,y,x_label,y_label,color='green'):\n", + " plt.figure()\n", + " plt.plot(x,y,color=color)\n", + " plt.xlabel(x_label)\n", + " plt.ylabel(y_label)\n", + " plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[Error] Vcell Calculation Error (Enernst:54.28850557413407, B:0.04777, C:0.0136, I:0, Rint:0.00303)\n", + "[Error] PEM Efficiency Calculation Failed (Vcell:None, N:88)\n", + "[Error] Power Calculation Error (Vcell:None, i:0)\n" + ] + } + ], + "source": [ + "Test_Vector = {\n", + " \"T\": 343,\n", + " \"E0\": 0.6,\n", + " \"N0\": 88,\n", + " \"KO2\": 0.0000211,\n", + " \"KH2\": 0.0000422,\n", + " \"tH2\": 3.37,\n", + " \"tO2\": 6.74,\n", + " \"B\": 0.04777,\n", + " \"C\": 0.0136,\n", + " \"Rint\": 0.00303,\n", + " \"rho\": 1.168,\n", + " \"qH2\": 0.0004,\n", + " \"i-start\": 0,\n", + " \"i-stop\": 100,\n", + " \"i-step\": 0.1,\n", + " \"Name\": \"PadullesI_Test\"}\n", + "data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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8nOqLCZ2RXN6RI0d4/fXX2bp1K1lZWXzmM59hwoQJel68iLT7jKS9QXINcMbdzwfLSUBvd+8S83EoSNq2a9cuXn31VQ4ePEhubi6f/exnGTx4cKLLEpEEam+QtPe2nX8F0iOWM4I26SZGjx7Nww8/zC233ML+/fv50Y9+xB/+8AfdLiwibWrvBfHe7n7hOa/uftLMMuJUkyRIUlIS+fn5TJkyhbVr11JZWcnGjRuZO3cuoVCI1NTURJcoIp1Qe89ITpnZzOYFM5sFnGll++btlpjZNjPbaWbfbmH9w2ZWZ2Y1ZrbOzCYF7Wlm9kywrtbMFkTsszZ4z5rgz6B2HoO0U0ZGBrfeeitf+9rXyMnJ4Y033uAHP/gBtbW1mgxSRC7R3j6S2cBK4IOgaSjwZXevamWfZGA7sBjYC6wH7nL3+ohtrnX3E8Hr24Cvu/sSM3sEyHP3+4OgeAWY7e5NZrYW+E/u3u5OD/WRROe9997jtddeY//+/QwZMoTFixczevToRJclInEW09t/3X29mU0Aric8dmSru59rY7d8YKe77woKWgksAy4ESXOIBDKB5lSbBKwJtjlgZseAPKCiPfVKbOXk5PDQQw+xadMm1qxZw/PPP8+4ceO4+eabGTRIJ4QiPd2VDBqYDeQE+8wwM9z9uVa2Hw7siVjeCxRcvFFw9vFNIA1YGDTXAsuC8MkGZgV/NwfJM2Z2Hvg18Leu6y1x1zz+ZOLEiZSXl1NcXMwPf/hDZsyYwYIFCzSgUaQHa++AxOeBMUANcD5odqC1IGlpIMIlP/Dd/UngSTO7G/gucB+wApgIVAK7gRKgMdjlz919n5n1IRwk97ZUh5ktB5YDjBw5so0jlPZKSUlhzpw5zJgxgzfffJPKykrq6uoIhUIUFRXRu3fvRJcoIh2svX0kW4BJV/Kbv5kVAn/j7p8Nlr8D4O5/d5ntk4Cj7t63hXUlwIOR/StB+1cI96U82lot6iOJnyNHjvDGG2+wefNm0tPTmTt3LrNnz9YdXiLdQKzHkWwChlxhDeuBcWaWG8wcfCew6qIix0UsLgV2BO0ZZpYZvF4MNLp7vZmlmNmAoD0V+FxQmyRI//79+eIXv8jy5csZNmwYr7/+Oj/4wQ+orq6mqakp0eWJSAdobx/JAKDezCqAT5ob3f22y+3g7o1m9iiwGkgGVrj7ZjP7HlDp7quAR83sZuAccJTwZS2AQcBqM2sC9hG+fAXQK2hPDd7zXwlP3SIJNnToUO655x7effdd1qxZw+9+9ztKSkpYuHAhEydO1JQrIt1Yey9tzW+p3d3fjHlFcaBLWx3L3dm2bRtr1qzh0KFDDBs2jEWLFumWYZEuJqZzbQVvOAoY5+7/GoxqT3b3j6Oss0MoSBKjqamJjRs3snbtWo4fP05ubi6LFi1i+PDhiS5NRNoh1pM2PkT4Dqj+7j4m6Nv4obsvir7U+FOQJFZjYyOVlZUUFxdz+vRpJk6cyIIFCzQGRaSTi+mAROARwgMMywHcfYemJpH2SklJIRQKMWPGDEpLSyktLWXLli1MmTKF+fPnM2DAgESXKCJRaG+QfOLuDc0dpmaWQgtjQkRa06tXLxYsWEB+fj4lJSVUVFSwefNmbrjhBm688Ub69++f6BJF5Cq0N0jeNLO/BtKD23G/DvwufmVJd5aRkcHNN99MYWEh69atuzCocdq0acyfP5++fS8ZSiQinVh7+0iSgAeAzxAesb4a+HFXmZpEfSSd28cff0xxcTHV1dW4OzNnzmTevHlce+21iS5NpEeL+V1bXZmCpGs4fvw4b731FjU1NZgZeXl5zJ07l2uuuSbRpYn0SDEJEjP7hbt/yczqaHmerBuiK7NjKEi6lqNHj/LWW29RW1tLSkoKs2fPZs6cOWRk6FlqIh0pVkEy1N33B2NILuHuu6OoscMoSLqmw4cP8+abb1JXV0daWhoFBQUUFhaSnp7e9s4iErVYjyPJBfa7+9lgOR0Y7O7vRVtoR1CQdG0HDhzgzTffpL6+nrS0NPLz8yksLNQZikicxTpIKoEid28IltOAt919dtSVdgAFSfdw4MAB3nrrLTZv3kxqauqFQMnMzEx0aSLdUqyDpMbdp1/UVuvu06KoscMoSLqXAwcOUFxczKZNm0hNTWX27NkUFRUpUERiLNYj2w+a2W3BjL2Y2TLgUDQFilytQYMG8YUvfIEbb7yR4uJiSktLWb9+PXl5eRQVFekuL5EO1t4zkjHAz4BhhMeR7AH+vbvvjG95saEzku7t0KFDFBcXU1dXR3Jy8oVA0eN/RaITl3EkZnZNsE+XmPW3mYKkZzh8+DDFxcVs3LiR5ORkZs6cydy5cxUoIlcpVrf/3uPu/2Jm32xpvbv/YxQ1dhgFSc9y5MgRiouLqa2tJSkp6UKgaKS8yJWJVR9J8/2V+pVOuoz+/fuzbNmyC30oVVVVVFdXM2PGDObMmUNWVlaiSxTpVtoKkjHB3/Xu/st4FyMSS/369eO22267ECjV1dVUV1dzww03MGfOHE1fLxIjbV3aqgNmAuXuPrPDqooxXdoSgBMnTlBSUkJVVRWNjY1MnjyZefPmMXjw4ESXJtIpxerS1quEb/PNNLMTke8PuLvrorN0Gddeey1Llixh3rx5F24Z3rx5M+PHj2fevHmMGDEi0SWKdEltnZH0cvdPzOy37r6sA+uKKZ2RSEvOnDlDRUUF5eXlnDlzhtGjRzNv3jxGjRpF80PcRHqyWN21Ve3uM83seXe/N6YVdiAFibSmoaGByspKSkpKOHXqFNnZ2cybN4+xY8cqUKRHi9WlrTQzuw8oMrN/d/FKd//N1RYo0lmkpaVRVFTE7Nmz2bBhAyUlJbzwwgsMHTqUefPmMWHCBAWKSCvaOiOZC/w58CVg1UWr3d2/GsfaYkZnJHIlzp8/z8aNG1m3bh1Hjhxh4MCBzJ07lylTppCUlJTo8kQ6TKwnbXzA3X9yFUUsAZ4Akgk/mvfvL1r/MPAIcB44CSx39/pgduEfAXlAE/CYu6+9aN9VwGh3n9JWHQoSuRpNTU3U19dTXFzMgQMH6NevH3PmzGHatGmkpLR3mjqRrqu9QdLqr1dm9p8B3P0nZnbHRev+Rxv7JgNPArcAk4C7zGzSRZu94O5Tg5mFvw80j5R/KPjcqcBi4B+C58Y3v/e/Ixw8InGTlJTElClTePjhh/nyl79Meno6v//97/mnf/onysrKaGhoSHSJIp1CW+fpd0a8/s5F65a0sW8+sNPddwXPMVkJfOrOL3ePvKU4kz89zncSsCbY5gBwjPDZSfN8X98E/raNzxeJCTNjwoQJPPjgg9xzzz3069eP1atX8/jjj7N27VpOnz6d6BJFEqqt83O7zOuWli82nPAswc32AgWXfIDZI4SDIQ1YGDTXAsvMbCWQDcwK/q4A/hvwD0Cr//ea2XJgOcDIkSPbKFWkbWbGmDFjGDNmDHv27OHtt9/mzTffpKSkhFmzZlFYWKj5vKRHaitI/DKvW1q+WEtBc8k+7v4k8KSZ3Q18F7gPWAFMBCqB3UAJ0Ghm04Gx7v4NM8tptXD3p4GnIdxH0katIlckOzubO++8kwMHDvD2229TXl5ORUWFpl+RHqmtIJkWjGg3ID1idLsBvdvYdy/hs4hmI4APWtl+JfAUgLs3At9oXmFmJcAOYD4wy8zeC2ofZGZr3X1BG7WIxMWgQYO4/fbbuemmmygpKWHDhg3U1NQwceJE5syZw/DhwxNdokjctRok7p4cxXuvB8aZWS6wj3B/y92RG5jZOHffESwuJRwWmFkG4TvKTpnZYqDR3euBeoKwCc5Ifq8Qkc4gKyuLW2+9lfnz51NeXs769evZsmULubm5zJ07l9zcXI1FkW4rbvcwunujmT0KrCZ8++8Kd99sZt8DKoPH9j5qZjcD54CjhC9rAQwCVptZE+EQ6rKj6qVnyczMZOHChcyZM4eqqipKS0t5/vnnGTZsGHPmzGHChAkaiyLdzhU9IbGr0jgSSZTGxkZqa2spKSnhyJEjXHfddcyZM4cbbriB5ORoTvhF4i8uj9rtqhQkkmhNTU1s2bKFdevW8eGHH9KnTx8KCwuZNWsWaWlpiS5PpEUKkggKEuks3J133nmHdevWsXv3bnr37k1+fj4FBQVkZGS0/QYiHUhBEkFBIp1R81iUbdu2kZqaysyZMyksLKRv376JLk0EUJB8ioJEOrMDBw5QUlLCxo0bAZg6dSpFRUV6cqMknIIkgoJEuoLjx49TVlZGVVUV586dY+zYsRQVFZGTk6NbhyUhFCQRFCTSlZw5c4bKykrKy8s5deoUQ4cOZc6cOUycOFG3DkuHUpBEUJBIV3TxrcP9+vWjsLCQ6dOnk5qamujypAdQkERQkEhX1tTUxLZt23j77bfZt28fGRkZ5OfnM3v2bN3pJXGlIImgIJHuwN15//33KSkpYfv27aSmpjJjxgwKCwvJyspKdHnSDcXqme0i0kmYGaNGjWLUqFEcOHCA0tJSKisrWb9+PZMnT6aoqIihQ4cmukzpgXRGItKFnThx4sKdXg0NDYwePZqioiJGjx6tO70karq0FUFBIt3d2bNnqaqqoqysjJMnTzJkyBCKioqYPHmy7vSSq6YgiaAgkZ6isbGRuro6SkpKOHToEFlZWYRCIWbMmKE5veSKKUgiKEikp3F3tm/fzttvv82ePXtIT09n9uzZ5Ofnk5mZmejypItQkERQkEhPtmfPHkpKSti6dSspKSlMnz6dwsJC+vfvn+jSpJNTkERQkIjAoUOHLszpdf78eSZOnEhhYSHZ2dlt7yw9koIkgoJE5E9OnjxJRUUF69ev5+zZs4wYMYKioiKuv/56dczLpyhIIihIRC7V0NBATU0NZWVlHD16VFOwyCUUJBEUJCKX19TUxNatWykpKWHfvn2kp6eTl5dHfn4+11xzTaLLkwRSkERQkIi0zd3Zs2cPpaWlbN26leTkZG644QYKCwsZOHBgosuTBNAUKSJyRcyMkSNHMnLkSA4fPkxZWRk1NTVs2LCB8ePHU1hYyKhRozRiXi6hMxIRuaxTp05RWVlJRUUFp0+fZujQoRQVFTFp0iR1zPcAurQVQUEiEp1z586xceNGSktLOXz4MH379r0wYr5Xr16JLk/ipFMEiZktAZ4AkoEfu/vfX7T+YeAR4DxwElju7vVmlgb8CMgDmoDH3H1tsM+rwFDCl+WKgUfc/XxrdShIRGKjecR8aWkpu3fvplevXsyaNYuCggKuvfbaRJcnMZbwIDGzZGA7sBjYC6wH7nL3+ohtrnX3E8Hr24Cvu/sSM3sEyHP3+81sEPAKMNvdm5r3sfCF2l8Bv3T3la3VoiARib19+/ZRWlpKfX09ZsbUqVMpLCxk8ODBiS5NYqQzdLbnAzvdfVdQ0EpgGXAhSJpDJJAJNKfaJGBNsM0BMztG+OykImKfFCAtYh8R6UDDhw/ni1/8IkePHqW8vJzq6mpqa2sZM2YMhYWFmsq+B4lnkAwH9kQs7wUKLt4oOPv4JuFQWBg01wLLgvDJBmYFf1cE+6wmHFSvED4rEZEE6devH0uWLGH+/PlUVVVRXl7Ov/zLvzB48GAKCwuZMmUKycnJiS5T4iiet1209KvIJWcP7v6ku48BvgV8N2heQTh4KoHHgRKgMWKfzxLuJ+nFn8Ln0x9uttzMKs2s8uDBg9Ech4i0Q3p6OnPnzuWxxx5j2bJlNDU18fLLL/PEE0/w9ttvc/bs2USXKHESzz6SQuBvgh/6mNl3ANz97y6zfRJw1N37trCuBHgwsn8laL+PcN/Jo63Voj4SkY7n7rzzzjuUlpaya9cu0tLSmDFjBqFQSM+Y7yI6Qx/JemCcmeUC+4A7gbsjNzCzce6+I1hcCuwI2jMIh9wpM1sMNAZ3c10D9HH3/WaWAtxK+M4tEelkzIyxY8cyduxYPvzwQ0pLS1m/fj0VFRVMmjSJUCjEiBEjEl2mxEDcgsTdG83sUWA14dt/V7j7ZjP7HlDp7quAR83sZuAccBS4L9h9ELDazJoIh9C9QXsmsMrMegXv+Qbww3gdg4jExpAhQ7j99ttZtGgR5eXlVFVVsXnzZrKzswmFQkyYMEEDHLswDUgUkQ7X0NDAhg0bKC/WOCUKAAAMtklEQVQv5+jRo2RlZVFQUKABjp1MwseRdCYKEpHOqampiW3btlFWVsb7779/YYBjfn4+ffte0l0qHUxBEkFBItL5RQ5wBJg8eTKFhYUMGzYswZX1XAqSCAoSka7j2LFjVFRUUF1dzSeffMLIkSMpLCxk/Pjx6kfpYAqSCAoSka7nk08+YcOGDZSVlXH8+HH69+9PQUEB06dPJy0tLdHl9QgKkggKEpGuq/kJjqWlpezdu5fevXtf6EfRRJHxpSCJoCAR6R727NlDWVkZW7ZswcyYMmUKoVCIoUOHJrq0bqkzDEgUEYmp7OxssrOzL0wUuWHDBjZu3EhOTg6FhYWMGzdOE0UmgM5IRKTLOnv2LNXV1ZSXl3PixAmuu+46QqEQ06ZNIzU1NdHldXm6tBVBQSLSvZ0/f54tW7ZQWlrKBx98QHp6Onl5ecyePZs+ffokurwuS0ESQUEi0jO4O3v27KG0tJStW7eSlJTE1KlTCYVCDBkyJNHldTnqIxGRHsfMGDlyJCNHjuTIkSMX+lFqa2sZPXo0oVCIsWPHqh8lxnRGIiLd2pkzZ6iqqqKiooKPP/6YAQMGEAqFuOGGG9SP0gZd2oqgIBGR8+fPs3nzZkpLS/nwww/JyMi40I9yzTXXJLq8TklBEkFBIiLN3J3du3dTWlrK9u3bSU5OZurUqRQWFjJo0KBEl9epqI9ERKQFZkZOTg45OTkcPnyYsrIyampqqKmpUT/KVdIZiYj0eKdPn77Qj3Ly5EkGDBhAQUFBjx+PoktbERQkItIezf0oZWVl7N+/n/T09AvzevXE8SgKkggKEhG5Eu7O+++/T1lZ2YXxKFOmTKGgoKBHPR9FfSQiIlfJzBg1ahSjRo26ZF6vkSNHEgqFuP766/V8lIDOSERE2uHs2bNs2LCBiooKjh07Rr9+/cjPz+/Wz5nXpa0IChIRiZXm56OUlZWxZ88eevXqxYwZMygoKCArKyvR5cWUgiSCgkRE4mHfvn2UlZVRX1+PuzNhwgRCoRDZ2dnd4vZhBUkEBYmIxNOJEyeoqKigqqqKs2fPMmzYMEKhEJMmTSI5OTnR5V01BUkEBYmIdISGhgZqa2spLy/n8OHD9OnTh/z8fGbNmkV6enqiy7tinSJIzGwJ8ASQDPzY3f/+ovUPA48A54GTwHJ3rzezNOBHQB7QBDzm7mvNLAP4JTAm2Od37v7ttupQkIhIR3J3duzYQVlZGe+++y6pqalMmzaNgoICBgwYkOjy2i3hQWJmycB2YDGwF1gP3OXu9RHbXOvuJ4LXtwFfd/clZvYIkOfu95vZIOAVYDbQGyhw938LwmYN8D/c/ZXWalGQiEiifPTRR5SVlVFXV8f58+cZN24coVCI3NzcTt+P0hnGkeQDO919V1DQSmAZcCFImkMkkAk0p9okwiGBux8ws2OEg6UC+LegvcHMqoERcTwGEZGoDB48mGXLlnHzzTezfv16Kisref755xk0aBChUIipU6eSktK1h/TFczTNcGBPxPLeoO1TzOwRM3sH+D7wl0FzLbDMzFLMLBeYBWRftF8W8GcEgdPC+y43s0ozqzx48GDUByMiEo3MzEwWLFjAX/3VX7Fs2TLMjFWrVvH444+zdu1aTp48megSr1o8L23dAXzW3R8Mlu8F8t39P1xm+7uD7e8zsxTg/wduAnYDqcCP3P23wbYpwO+A1e7+eFu16NKWiHQ27s57771HWVnZp6azD4VCDB48ONHlAZ3j0tZePn0WMQL4oJXtVwJPAbh7I/CN5hVmVgLsiNj2aWBHe0JERKQzMjNyc3PJzc29MJ19bW0tNTU15ObmEgqFGDduXKfvR4H4Bsl6YFxwaWofcCdwd+QGZjbO3ZsDYilBWAR3Z5m7nzKzxUBjcye9mf0t0Bd4MI61i4h0mOuuu46lS5eycOFCqqurqaio4MUXX+S66667MJ19Wlpaosu8rHjf/nsr8Djh239XuPt/N7PvAZXuvsrMngBuBs4BR4FH3X2zmeUAqwnf+rsPeMDdd5vZCML9LluBT4KP+YG7/7i1OnRpS0S6kvPnz7NlyxbKysrYt28fvXv3ZubMmeTn59O3b98OqyPht/92JgoSEemK3J29e/dSVlbGli1bAJg8eTKhUIjhwy+5dynmOkMfiYiIRMHMyM7OJjs7m2PHjlFRUUF1dTWbNm0iOzubgoICJk6cmPDp7HVGIiLShXzyySfU1NRQXl7O0aNH6du3L/n5+cycOZPevXvH9LN0aSuCgkREupumpia2b99OWVkZu3fvJi0tjenTp1NQUED//v1j8hkKkggKEhHpzvbv309ZWRmbNm2iqamJ66+/nlAoxKhRo6K6fVhBEkFBIiI9wccff3xhGpYzZ84wZMgQ7r77bvr06XNV76fOdhGRHqZPnz4sXLiQefPmUVdXx44dO7jmmmvi/rkKEhGRbiY1NZWZM2cyc+bMDvm8xN4zJiIiXZ6CREREoqIgERGRqChIREQkKgoSERGJioJERESioiAREZGoKEhERCQqPWKKFDM7SPjZ71djAHAohuV0BTrmnkHH3DNEc8yj3H1gWxv1iCCJhplVtmeume5Ex9wz6Jh7ho44Zl3aEhGRqChIREQkKgqStj2d6AISQMfcM+iYe4a4H7P6SEREJCo6IxERkagoSC7DzJaY2TYz22lm3050PfFgZtlm9m9mtsXMNpvZY0F7fzN73cx2BH/3S3StsWZmyWa2wcx+Hyznmll5cMw/N7O0RNcYS2aWZWa/MrOtwfdd2N2/ZzP7RvDvepOZvWhmvbvb92xmK8zsgJltimhr8Xu1sP8d/EzbaGYxe1iJgqQFZpYMPAncAkwC7jKzSYmtKi4agf/o7hOBEPBIcJzfBta4+zhgTbDc3TwGbIlY/v+A/xUc81HggYRUFT9PAK+6+wRgGuFj77bfs5kNB/4SyHP3KUAycCfd73t+FlhyUdvlvtdbgHHBn+XAU7EqQkHSsnxgp7vvcvcGYCWwLME1xZy773f36uD1x4R/uAwnfKw/DTb7KfD5xFQYH2Y2AlgK/DhYNmAh8Ktgk251zGZ2LXAj8BMAd29w92N08++Z8BNg080sBcgA9tPNvmd3fws4clHz5b7XZcBzHlYGZJnZ0FjUoSBp2XBgT8Ty3qCt2zKzHGAGUA4Mdvf9EA4bYFDiKouLx4H/DDQFy9cBx9y9MVjubt/3aOAg8ExwOe/HZpZJN/6e3X0f8D+B9wkHyHGgiu79PTe73Pcat59rCpKWWQtt3fb2NjO7Bvg18FfufiLR9cSTmX0OOODuVZHNLWzanb7vFGAm8JS7zwBO0Y0uY7Uk6BdYBuQCw4BMwpd2Ltadvue2xO3fuYKkZXuB7IjlEcAHCaolrswslXCI/MzdfxM0f9R8yhv8fSBR9cXBHOA2M3uP8CXLhYTPULKCSyDQ/b7vvcBedy8Pln9FOFi68/d8M/Cuux9093PAb4Aiuvf33Oxy32vcfq4pSFq2HhgX3OGRRriTblWCa4q5oG/gJ8AWd//HiFWrgPuC1/cBv+3o2uLF3b/j7iPcPYfw9/qGu/858G/AF4PNutsxfwjsMbPrg6ZFQD3d+HsmfEkrZGYZwb/z5mPutt9zhMt9r6uAfx/cvRUCjjdfAouWBiRehpndSvg31WRghbv/9wSXFHNmNhcoBur4U3/BXxPuJ/kFMJLw/5B3uPvFHXpdnpktAP6Tu3/OzEYTPkPpD2wA7nH3TxJZXyyZ2XTCNxekAbuA+wn/Itltv2cz+6/AlwnfnbgBeJBwn0C3+Z7N7EVgAeEZfj8C/gvwMi18r0Gg/oDwXV6ngfvdvTImdShIREQkGrq0JSIiUVGQiIhIVBQkIiISFQWJiIhERUEiIiJRUZCIiEhUFCQicWRmJyNeD22etj6i7Qkz22dmSRFtnwvGQIh0CQoSkY7zTeD/NC8E4XE74Yn0bozY7g+Ep3HJ6NjyRK6OgkSk43wBeDVi+SZgE+HnQtzV3OjhUcJrgc91ZHEiV0tBItIBzCwXOHrRdBx3AS8CLwGfCybQbFYJzOvAEkWumoJEpGMMJfxMEACCyUBvBV4Opu4vBz4Tsf0BwtOfi3R6KW1vIiIxcAboHbG8BOgL1IXn0iOD8ER6fwjW9w72Een0FCQiHWM7kBOxfBfwoLu/CBA8sfBdM8tw99PAeML9JyKdni5tiXQAdz8FvGNmY4O7sT7Ln84+mtevA/4saLopcr1IZ6Zp5EU6iJndDsxy9++2sd1g4AV3X9QxlYlER5e2RDqIu79kZte1Y9ORwH+Mdz0isaIzEhERiYr6SEREJCoKEhERiYqCREREoqIgERGRqChIREQkKv8X2CcMN2NOOG4AAAAASUVORK5CYII=\n", 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\n", 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YfjHy5+Wp3lul/mid5jNN0ienie0X63VpIjNqWxrGXHf/6uQFZvb5aa5HpC9Zwkif2I4XKd9SpvTtEvG3hmGGKV3wJ7PDtrzSz5xi2ac3t7KZLTSze81snZmtmaq5WNvXzOw5M3vCzA6ZdN+Ema0Ov27ahjpFuia6KEp+RZ7kkUkaTzQorCzQWNfodVkiM6KTtNrTgE8A+2zyhzsH/H4LDx0HvuDuj5lZDlhlZne5+9pJ65wE7B9+HQZcGH4HqLr72zp/KiIzw6JG6rgUsQNj7TDDa8s0DmiQPklhhjLcOtkl9SDwMrAr8C+TlheBJzb3IHd/OXwc7l40s3XAAmBywzgVuMLdHXjYzOaa2fzwsSJ97fUww4dq1O6vUXgxDDN8i8IMZTh1klb7S+CXwBHb+4+Y2WLgYOCRTe5aAPx60u314bKXgaSZjdKeVP7J3adMxTWzFcAKgEWLFm1viSLbxSJG6l2TwgxvqtB4qkH65DSRuYoXkeHS8fxsZoeb2aNmVjKzRniMYasfmmRmWdqflXHBFB+yNNXbsI1nXi1y9xHau8P+1cz2m+r3u/vF7j7i7iPz5s3r9OmITKvIru0ww9SJKcbXj1NYWaD20xrt4VlkOGzLDtd/A04DngVSwDnA/9vSA8wsRrtZXOXu10+xynpg4aTbewEvAbj7xu/PA/fRnlBE+paZkXxHkvx5eaKLolTvrFK8vMjEqxO9Lk1kWmzTETp3fw6IuPuEu38DOHZz61p7J+6lwDp3/8pmVrsJOCM8W+pwYMzdXzazncwsEf6eXWl/lvjazfwOkb4SmRshe1o7zLC1oUXh4gLVH1fxCU0bMti25TqMipnFaV/t/b9pH2fIbGH9I4HTgSfNbHW47EvAIgB3X0n7MzaWAs/Rjh05K1zvQOAiM2vRbmr/tMnZVSJ97fUww/1iVO6oULu3RnNtsx1mOF/xIjKYrNN9rGa2N/A7IA78LTAH+I9w6ugLIyMjPjo62usyRP5CY12Dyh0VvOwkj0iSPDqJxXQmlfSema0KjxdvVcdvdcKzpQBqwD9sT2Eis9XrYYZ3V6k9WKPx8zDMcJGmDRkcWz2GYWY3m9ny8AD2pvfta2b/aGaf6U55IsMjSAVklmfIfjILLSheXqRyewWv69iGDIZO3t6cS/uzMP7VzF4DNgBJYB/axx7+zd2/370SRYZLbN9JYYY/rdN8tkl6aZrYGxRmKP2t42MY8PoFePOBKvCMu/fV52PoGIYMmvH145RvLtN6tUX8LWGYYVrxIjJzunIMA8DdXwRe3I6aRGQK0b2i5M/NU3ugRu3BGs1fNEmfmCZ2YEzxItJ3OjmGsdDMvmNmD5jZlyYfyzCzKeM6RKRzFjVSx6bInZ0jyAeUrytT/l6ZVrHV69JE/kwns+9ltK+0/hvau6N+ZGa7hPft3aW6RGad6B5Rcp/JkTo+RfMXTQoXFqivriteRPpGJw1jnruvdPfV7v43wH8A94fZTnoli0wjC4zkO5PkV+SJ7B6hcnOF0lUlJv6geBHpvU4aRszMkhtvuPu3gM8Dd9KeOERkmkV2iZA9I0t6aZrx34xTuKhA7ZEa3tJ7NOmdThrGJfzpQ40AcPe7gY8AT3WjKBEJ40XenmDO+XOI7h2l+oMwzHCDpg3pjW06rbbf6bRaGVbuTuOpBtU7q3jDSR6VJPnOJBbRmVSyY6b1tFoz+9qW7nf3z3VamIhsHzMj8eYEsX1jVO6sULtvUpjhnooXkZnRyStt1aSf/wH4cpdqEZGtCDIB2Q9mabypQeX2CsXLiiQOT5B6d0phhtJ1nXxE6+UbfzazCybfFpHeiL8x3j6ucXeV+kN1mk83SS9LE9tb8SLSPduaQTA8BzxEBlyQDMgsy5D9VBYcSleUKN9WVpihdI1Ca0QGXGyfGPkVeRKHJ2g81mBs5RjNZ5u9LkuGUCcHvYu0JwsDUmZW2HgX4O6e72J9ItIBixvp96aJL4lTvqlM6Tsl4gfFSb1PYYYyfTo5hpGbiUJEZMdFF4Rhhj+pUftxjebzTdLvSxN7k8IMZcd1MmEkgfOBNwBPAJe5+3i3CxOR7WNRI/XuFPED4pRvKVO+oUxsTYz0SWmCvKYN2X6dvHouB0aAJ4GlwL90tSIRmRaR3SPkzsqRek+K5vNNxlaOUX9MYYay/Tq5DmOJu78ZwMwuBX7a3ZJEZLpYYCSPSBJ7Y4zKLRUqt1ZorGmQPjlNZOdIr8uTAdPJhPH66RbaFSUymCI7R8ieniV9cprxl8Mww4cVZijbppMJ462bnBm18UwpnSUlMkDMjMQhCWJviFG5rUL1riqNNQ0yyzNEdtO0IVvXyVlSeiWJDJEgH5D5WIbmmiaVOysUvl4g+a4kyXcpzFC2TKllIrOQmRE/KE503yjVO6vU7q/RWNeeNqIL9GdBpqZz7ERmsSAdkPlAhszHMnjNKX6jSOWuCt7UsQ35S3orISLE/ypObFGMyj0V6g9PCjNcrDBD+RNNGCICgCWNzMkZsqdnAShdWaJ8axmvadqQNjUMEfkzscUx8uflSRyRoPF4O8yw8Uyj12VJH1DDEJG/YDEj/Z40uc/kCFIB5WvKlK4v0Sq3el2a9JAahohsVnTPKLlzciTfnaS5rknhwgKNJxuKF5mlutYwzGyhmd1rZuvMbI2ZfX6KdczMvmZmz5nZE2Z2yKT7zjSzZ8OvM7tVp4hsmUWM1NEp8ufmCXYOKN9YpnxNmdaYpo3ZppsTxjjwBXc/EDgc+KyZLdlknZOA/cOvFcCFAGa2M+3PDj8MOBT4spnt1MVaRWQrIrtFyH06R+qEFM0XwzDDVQoznE261jDc/WV3fyz8uQisAxZsstqpwBXe9jAw18zmA+8D7nL319z9D8BdwIndqlVEOmOBkTwsSf68PNEFUSq3VShdWWLi9xO9Lk1mwIwcwzCzxcDBwCOb3LUA+PWk2+vDZZtbPtXvXmFmo2Y2umHDhukqWUS2ILJThOwns6SXpZn47QSFiwvUHlSY4bDresMwsyxwHXCBuxc2vXuKh/gWlv/lQveL3X3E3UfmzZu3Y8WKSMfMjMTBCfJ/nSe2b4zqPVWKlxUZ/51CrYdVVxuGmcVoN4ur3P36KVZZDyycdHsv4KUtLBeRPhPkAjIfzZD5UIZWoUXxkiLV+6r4uKaNYdPNs6QMuBRY5+5f2cxqNwFnhGdLHQ6MufvLwJ3ACWa2U3iw+4RwmYj0ITMjviRO/vw88TfFqT1Qo/D1AuPrNW0Mk25mSR0JnA48aWarw2VfAhYBuPtK4DbaH/v6HFABzgrve83M/gfwaPi4f3T317pYq4hMgyAdkHl/hvhBccq3lil+o0jisASpY1JYXNHpg86G6ZS4kZERHx0d7XUZIgJ43an+sEp9tE4wNyB9cprYvgoz7DdmtsrdRzpZV1d6i0hXWMJIn5Qme2YWAihdVaJ8c5lWTRf8DSo1DBHpqtiiGPkVeZLvTNL4WaMdL/JzhRkOIjUMEek6ixmp41Pkzs4RZALK3ytTurZEq6RpY5CoYYjIjInOj5I7O0fy2CTNZ5oUVhaoP6F4kUGhhiEiM8oiRupdYZjhLgGV71coXV1SmOEAUMMQkZ6IzIuQOzNH6n0pxn81ztjKMWqP1jRt9DE1DBHpGQuM5KFJ8ufnie4VpXpHldLlJSZeVZhhP1LDEJGei8yNkP1ElvQpaSY2hGGGP1GYYb/p5pXeIiIdMzMSb00Q2y9G5fYK1R9WaaxtkF6eJrqH/lT1A00YItJXgmxA9iNZMh/O0CqGYYY/VJhhP1DbFpG+FD8wTnRxlOpdVWo/qdH4eYPM8gzRhfqz1SuaMESkbwWpgMwpGbKfyMI4FL9ZpHJHBW9o2ugFNQwR6Xux/WLkz8+TeEeC+qN1CisLNH/R7HVZs44ahogMBIsb6RPT5D6dgyiUvl2ifFOZVlUX/M0UNQwRGSjRhdF2mOGRSRpPhGGG6xRmOBPUMERk4FjUSB2XIndOjiAXUL62TOl7CjPsNjUMERlY0T2i5D6TI3VciuazTQoXFqj/TGGG3aKGISIDzSJG8sgk+RV5IvMiVG6qUPp2iYk/Kl5kuqlhiMhQiOwaIXtmltRJKcbXj1NYWaD2U4UZTic1DBEZGmZGciRJ/rw80UVRqndWKX6zyMQGTRvTQQ1DRIZOZG6E7GlZ0qemaf2+ReHrBao/ruITmjZ2hK6xF5GhZGYk3pIgtm+Myp0VavfWaK5ttsMM5+tP3/bQhCEiQy3IBmQ/lCXzkQytcovipUWq91TxpqaNbaU2KyKzQvyAONG9o1TvrlJ7sB1mmF6eJrYo1uvSBoYmDBGZNYJUQGZ5huwns9CC0uUlKrdX8LqmjU6oYYjIrBPbN0b+vDyJwxLUR+uMrRyj+ZzCDLdGDUNEZiWLG+kT0uTOymFxo3R1ifKNZVoVxYtsjhqGiMxq0b2i5M/NkzwqSWNNg8LKAo21DV3wNwU1DBGZ9SxqpI4JwwzzAeXrypS/V6ZV1LQxmRqGiEgounsYZnh8iuYvwjDDxxVmuJEahojIJBYYyXeGYYa7R6jcUqF0VYmJPyhepGsNw8wuM7NXzOypzdy/k5ndYGZPmNlPzeygSfe9aGZPmtlqMxvtVo0iIpsT2SVC9ows6aVpxn8zTuGiArVHanhr9k4b3ZwwvgmcuIX7vwSsdve3AGcAX93k/mPd/W3uPtKl+kREtsjMSLw9wZzz57Qv+vvB7A4z7FrDcPf7gde2sMoS4J5w3Z8Di81s927VIyKyvYI5AdmPZ8m8P0PrtTDM8P7ZF2bYy2MYPwM+CGBmhwJ7A3uF9znwAzNbZWYrelSfiMjrzIz4m+Pk/zpP7IAYtR/VKF5SZPyl8V6XNmN62TD+CdjJzFYDfwM8Dmz8L3+kux8CnAR81syO3twvMbMVZjZqZqMbNmzoetEiMrsFmYDsB7NkPpqhVW1RvKxI5e7KrAgz7Fn4oLsXgLMAzMyAF8Iv3P2l8PsrZnYDcChw/2Z+z8XAxQAjIyPDv8VEpC/E3xgntneMyt0V6g/VaT7dJL0sTWzv4Q0z7NmEYWZzzSwe3jwHuN/dC2aWMbNcuE4GOAGY8kwrEZFesqSRWZYh+6ksOJSuKFG+rTy0YYZdmzDM7GrgGGBXM1sPfBmIAbj7SuBA4AozmwDWAmeHD90duKE9dBAFvu3ud3SrThGRHRXbpx1mWL2vSv2ROs1nm2SWZojtP1zThg3TFYwjIyM+OqrLNkSkd8Z/M0755jKtDS3iB8VJnZAiyPTvNdJmtqrTyxf691mIiAyg6IIwzPDoJI21YZjhU8MRZqiGISIyzSxipN6dIn9unmBuQPmGMuVryrQKgx1mqIYhItIlkd0i5M7KkXpviuYLTcZWjlF/bHDDDNUwRES6yAIjeXiS/Hl5ovOjVG6tUPpWiYnXBi9eRA1DRGQGRHaOkP1UlvTJacZfDsMMHxqsMMOeXbgnIjLbmBmJQxLE3hCjcluF6t1VGmsbZJZniOwW6XV5W6UJQ0RkhgX5gMzHMmQ+mKH1xzDM8Ef9H2aoCUNEpAfMjPib4kT3iVK9s0rt/hqNde1pI7qgP/80a8IQEemhIB2Q+UCG7MezeN0pfqNI5a7+DDNUwxAR6QOx/WPMOX8O8UPi1B+uU7ioQPPFZq/L+jNqGCIifcISRmZphuwZWTAoXVmifEuZVq0/LvhTwxAR6TOxvWPkV+RJHJGgsTqMF3m60euy1DBERPqRxYz0e9LkPpMjSAWUv1umdF2JVrl304YahohIH4vuGSV3To7kMUmaTzcpXFig/mRv4kXUMERE+pxFjNRRYZjhzgGVGyvtMMOxmZ021DBERAZEZF6E3KdzpE5I0XwxDDNcNXPThhqGiMgAscBIHhaGGS6IUrmtQumKEt7oftPoz8sJRURkiyI7Rch+MkvjZw3Gfz2Oxa3r/6YahojIgDIzEm9LkHhbYkb+Pe2SEhGRjqhhiIhIR9QwRESkI2oYIiLSETUMERHpiBqGiIh0RA1DREQ6ooYhIiIdsV4kHnaLmW0AfrmdD98VeHUayxkEes6zg57z8NuR57u3u8/rZMWhahg7wsxG3X2k13XMJD3n2UHPefjN1PPVLikREemIGoaIiHREDeNPLu6ZVakDAAAFGklEQVR1AT2g5zw76DkPvxl5vjqGISIiHdGEISIiHZn1DcPMTjSzp83sOTP7Yq/r6QYzW2hm95rZOjNbY2afD5fvbGZ3mdmz4fedel3rdDOziJk9bma3hLf3MbNHwud8jZnFe13jdDKzuWZ2rZn9PNzeRwz7djazvw1f10+Z2dVmlhy27Wxml5nZK2b21KRlU25Xa/ta+DftCTM7ZLrqmNUNw8wiwL8DJwFLgNPMbElvq+qKceAL7n4gcDjw2fB5fhG4x933B+4Jbw+bzwPrJt3+X8D/DZ/zH4Cze1JV93wVuMPdDwDeSvu5D+12NrMFwOeAEXc/CIgAH2f4tvM3gRM3Wba57XoSsH/4tQK4cLqKmNUNAzgUeM7dn3f3BvAd4NQe1zTt3P1ld38s/LlI+4/IAtrP9fJwtcuB9/emwu4ws72Ak4FLwtsGHAdcG64yVM/ZzPLA0cClAO7ecPc/MuTbmfYnh6bMLAqkgZcZsu3s7vcDr22yeHPb9VTgCm97GJhrZvOno47Z3jAWAL+edHt9uGxomdli4GDgEWB3d38Z2k0F2K13lXXFvwL/BWiFt3cB/uju4+HtYdve+wIbgG+Eu+EuMbMMQ7yd3f03wD8Dv6LdKMaAVQz3dt5oc9u1a3/XZnvDmOpT04f2tDEzywLXARe4e6HX9XSTmS0DXnH3VZMXT7HqMG3vKHAIcKG7HwyUGaLdT1MJ99ufCuwD7AlkaO+S2dQwbeet6drrfLY3jPXAwkm39wJe6lEtXWVmMdrN4ip3vz5c/LuNo2r4/ZVe1dcFRwKnmNmLtHc1Hkd74pgb7rqA4dve64H17v5IePta2g1kmLfze4AX3H2DuzeB64F3MtzbeaPNbdeu/V2b7Q3jUWD/8IyKOO2DZTf1uKZpF+67vxRY5+5fmXTXTcCZ4c9nAt+f6dq6xd3/q7vv5e6LaW/XH7r7J4F7gQ+Hqw3bc/4t8Gsze2O46HhgLUO8nWnvijrczNLh63zjcx7a7TzJ5rbrTcAZ4dlShwNjG3dd7ahZf+GemS2l/c4zAlzm7v+zxyVNOzN7F/AA8CR/2p//JdrHMb4LLKL9P95H3H3TA2sDz8yOAf7e3ZeZ2b60J46dgceBT7l7vZf1TSczexvtg/xx4HngLNpvDId2O5vZPwAfo3024OPAObT32Q/Ndjazq4FjaKfS/g74MnAjU2zXsHH+G+2zqirAWe4+Oi11zPaGISIinZntu6RERKRDahgiItIRNQwREemIGoaIiHREDUNERDqihiEiIh1RwxCZBmZWmvTz/I1x6pOWfdXMfmNmwaRly8JrCEQGghqGyPT7O+DrG2+ETeIDtAPhjp603q2040vSM1ueyPZRwxCZfh8C7ph0+1jgKdqfS3DaxoXevmr2PmDZTBYnsr3UMESmkZntA/xhkxiK04CrgRuAZWEQ5EajwFEzWKLIdlPDEJle82l/JgUAYajlUuDGMFL+EeCESeu/QjuWW6TvRbe+iohsgyqQnHT7RGAO8GQ7E4407UC4W8P7k+FjRPqeGobI9HoGWDzp9mnAOe5+NUD4CXgvmFna3SvAX9E+viHS97RLSmQauXsZ+IWZvSE8++l9/Gma2Hj/j4Hl4aJjJ98v0s8Uby4yzczsA8Db3f2/b2W93YFvu/vxM1OZyI7RLimRaebuN5jZLh2sugj4QrfrEZkumjBERKQjOoYhIiIdUcMQEZGOqGGIiEhH1DBERKQjahgiItKR/w/AheOFnQp0gQAAAABJRU5ErkJggg==\n", 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OPEM Report (Padulles-II Model)

+

What is Padulles-II ?

+

+In this model, Nernst and fuel cell potential were modeled as a function of water, oxygen and hydrogen gases partial +pressure that can be calculated from independent variables or constants. The partial pressure of gases is proportional +to the molar flow of each gas. +

+

Inputs

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+Input + +Description + +Value +
+B + +Activation voltage constant [V] + +0.04777 +
+C + +Constant [A^(-1)] + +0.0136 +
+E0 + +Opencell voltage [V] + +0.6 +
+KH2 + +Hydrogen Valve Constant [kmol.s^(-1).atm^(-1)] + +4.22e-05 +
+KH2O + +Water Valve Constant [kmol.s^(-1).atm^(-1)] + +7.716e-06 +
+KO2 + +Oxygen Valve Constant [kmol.s^(-1).atm^(-1)] + +2.11e-05 +
+N0 + +Number of fuel cells in the stack + +5 +
+Rint + +Fuel cell internal resistance [ohm] + +0.00303 +
+T + +Cell Operation Temperature [K] + +343 +
+i-start + +Cell operating current start point [A] + +0.1 +
+i-step + +Cell operating current step + +0.1 +
+i-stop + +Cell operating current end point [A] + +100 +
+qH2 + +Molar flow of hydrogen [kmol.s^(-1)] + +0.0004 +
+rho + +Hydrogen-Oxygen flow rate + +1.168 +
+tH2 + +Hydrogen time constant [s] + +3.37 +
+tH2O + +Water time constant [s] + +18.418 +
+tO2 + +Oxygen time constant [s] + +6.74 +
+

Overall Parameters

+ + + + + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+Efficiency|Pmax + +Cell efficiency at maximum power + +0.345453171605978 +
+Pmax + +Maximum power [W] + +269.1840203788102 +
+Ptotal(Elec) + +Total electrical power [W] + +288.7454858282187 +
+Ptotal(Thermal) + +Total thermal power [W] + +325.0245141717815 +
+VFC|Pmax + +Cell voltage at maximum power [V] + +2.6945347385266287 +
+

Graphs

+ +
+ +
+ + +
+ +
+ + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+K + +Slope of the curve obtained by linear approximation [A^(-1)] + +-0.004456243154863302 +
+Pmax(L-Approx) + +Maximum power obtained by linear approximation [W] + +544.7719451780384 +
+V0 + +Intercept of the curve obtained by linear approximation [V] + +3.1161747394273 +
+VFC|Pmax(L-Approx) + +Cell voltage at maximum power obtained by linear approximation [V] + +1.55808736971365 +
+ +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ +

Generated By OPEM Version 0.9

+ + \ No newline at end of file diff --git a/Documents/Padulles-II/Padulles2_Vector.opem b/Documents/Padulles-II/Padulles2_Vector.opem new file mode 100644 index 00000000..27a14a50 --- /dev/null +++ b/Documents/Padulles-II/Padulles2_Vector.opem @@ -0,0 +1,11021 @@ + ___ + / _ \ _ __ ___ _ __ ___ +| | | || '_ \ / _ \| '_ ` _ \ +| |_| || |_) || __/| | | | | | + \___/ | .__/ \___||_| |_| |_| + |_| +Simulation Date : 2019-02-13 18:23:16.406509 +********** +Padulles-II Model + +********** +Simulation Inputs : + +B : 0.04777 +C : 0.0136 +E0 : 0.6 +KH2 : 4.22e-05 +KH2O : 7.716e-06 +KO2 : 2.11e-05 +N0 : 5 +Name : Padulles2_Vector +Rint : 0.00303 +T : 343 +i-start : 0.1 +i-step : 0.1 +i-stop : 100 +qH2 : 0.0004 +rho : 1.168 +tH2 : 3.37 +tH2O : 18.418 +tO2 : 6.74 +********** +I :0.1 A + +E : 3.0120122442199793 V +FC Efficiency : 0.4265389961269225 +FC Power : 0.33270041697899955 W +FC Voltage : 3.3270041697899955 V +PH2 : 2.169018669476965 atm +PH2O : 2.669687710942903 atm +PO2 : 2.09696938340326 atm +Power-Thermal : 0.2822995830210005 W +########### +I :0.2 A + +E : 3.012012104448671 V +FC Efficiency : 0.42225504989786394 +FC Power : 0.6587178778406679 W +FC Voltage : 3.293589389203339 V +PH2 : 2.1690046190953503 atm +PH2O : 2.6696704173475743 atm +PO2 : 2.0969614505650616 atm +Power-Thermal : 0.5712821221593323 W +########### +I :0.3 A + +E : 3.0120119646768333 V +FC Efficiency : 0.4197329719509197 +FC Power : 0.9821751543651522 W +FC Voltage : 3.273917181217174 V +PH2 : 2.1689905687137356 atm +PH2O : 2.669653123752246 atm +PO2 : 2.0969535177268637 atm +Power-Thermal : 0.8628248456348478 W +########### +I :0.4 A + +E : 3.0120118249044676 V +FC Efficiency : 0.41793223959535725 +FC Power : 1.3039485875375147 W +FC Voltage : 3.259871468843787 V +PH2 : 2.1689765183321215 atm +PH2O : 2.6696358301569174 atm +PO2 : 2.0969455848886653 atm +Power-Thermal : 1.1560514124624854 W +########### +I :0.5 A + +E : 3.0120116851315726 V +FC Efficiency : 0.41652676431084773 +FC Power : 1.6244543808123062 W +FC Voltage : 3.2489087616246124 V +PH2 : 2.1689624679505073 atm +PH2O : 2.669618536561589 atm +PO2 : 2.096937652050467 atm +Power-Thermal : 1.450545619187694 W +########### +I :0.6 A + +E : 3.012011545358149 V +FC Efficiency : 0.4153712975747617 +FC Power : 1.943937672649885 W +FC Voltage : 3.2398961210831416 V +PH2 : 2.1689484175688927 atm +PH2O : 2.6696012429662606 atm +PO2 : 2.0969297192122687 atm +Power-Thermal : 1.7460623273501152 W +########### +I :0.7 A + +E : 3.0120114055841967 V +FC Efficiency : 0.4143883594017745 +FC Power : 2.2625604423336885 W +FC Voltage : 3.232229203333841 V +PH2 : 2.1689343671872785 atm +PH2O : 2.669583949370932 atm +PO2 : 2.0969217863740703 atm +Power-Thermal : 2.0424395576663112 W +########### +I :0.8 A + +E : 3.0120112658097153 V +FC Efficiency : 0.4135317011453444 +FC Power : 2.580437815146949 W +FC Voltage : 3.225547268933686 V +PH2 : 2.168920316805664 atm +PH2O : 2.6695666557756033 atm +PO2 : 2.096913853535872 atm +Power-Thermal : 2.3395621848530515 W +########### +I :0.9 A + +E : 3.0120111260347056 V +FC Efficiency : 0.41277149148017567 +FC Power : 2.897655870190834 W +FC Voltage : 3.219617633545371 V +PH2 : 2.1689062664240497 atm +PH2O : 2.6695493621802746 atm +PO2 : 2.0969059206976737 atm +Power-Thermal : 2.6373441298091667 W +########### +I :1.0 A + +E : 3.0120109862591664 V +FC Efficiency : 0.4120873617867766 +FC Power : 3.2142814219368576 W +FC Voltage : 3.2142814219368576 V +PH2 : 2.168892216042435 atm +PH2O : 2.669532068584946 atm +PO2 : 2.0968979878594753 atm +Power-Thermal : 2.9357185780631427 W +########### +I :1.1 A + +E : 3.0120108464830992 V +FC Efficiency : 0.4114647839578894 +FC Power : 3.5303678463586916 W +FC Voltage : 3.2094253148715377 V +PH2 : 2.168878165660821 atm +PH2O : 2.6695147749896178 atm +PO2 : 2.096890055021277 atm +Power-Thermal : 3.234632153641309 W +########### +I :1.2 A + +E : 3.0120107067065027 V +FC Efficiency : 0.41089303097642904 +FC Power : 3.845958769939376 W +FC Voltage : 3.2049656416161465 V +PH2 : 2.1688641152792063 atm +PH2O : 2.669497481394289 atm +PO2 : 2.0968821221830787 atm +Power-Thermal : 3.5340412300606245 W +########### +I :1.3 A + +E : 3.0120105669293777 V +FC Efficiency : 0.4103639566273662 +FC Power : 4.161090520201494 W +FC Voltage : 3.2008388616934567 V +PH2 : 2.168850064897592 atm +PH2O : 2.669480187798961 atm +PO2 : 2.0968741893448803 atm +Power-Thermal : 3.833909479798507 W +########### +I :1.4 A + +E : 3.012010427151724 V +FC Efficiency : 0.40987122872897686 +FC Power : 4.475793817720427 W +FC Voltage : 3.1969955840860194 V +PH2 : 2.168836014515978 atm +PH2O : 2.6694628942036323 atm +PO2 : 2.096866256506682 atm +Power-Thermal : 4.1342061822795735 W +########### +I :1.5 A + +E : 3.012010287373541 V +FC Efficiency : 0.409409827543193 +FC Power : 4.790094982255358 W +FC Voltage : 3.1933966548369055 V +PH2 : 2.1688219641343633 atm +PH2O : 2.6694456006083036 atm +PO2 : 2.0968583236684837 atm +Power-Thermal : 4.434905017744642 W +########### +I :1.6 A + +E : 3.0120101475948298 V +FC Efficiency : 0.40897570639787845 +FC Power : 5.104016815845523 W +FC Voltage : 3.190010509903452 V +PH2 : 2.1688079137527487 atm +PH2O : 2.669428307012975 atm +PO2 : 2.096850390830286 atm +Power-Thermal : 4.7359831841544775 W +########### +I :1.7 A + +E : 3.012010007815589 V +FC Efficiency : 0.4085655553769282 +FC Power : 5.417579264298068 W +FC Voltage : 3.18681133194004 V +PH2 : 2.1687938633711346 atm +PH2O : 2.6694110134176463 atm +PO2 : 2.0968424579920875 atm +Power-Thermal : 5.037420735701932 W +########### +I :1.8 A + +E : 3.01200986803582 V +FC Efficiency : 0.40817663265783805 +FC Power : 5.730799922516047 W +FC Voltage : 3.183777734731137 V +PH2 : 2.16877981298952 atm +PH2O : 2.6693937198223177 atm +PO2 : 2.096834525153889 atm +Power-Thermal : 5.339200077483954 W +########### +I :1.9 A + +E : 3.012009728255522 V +FC Efficiency : 0.4078066415116356 +FC Power : 6.04369442720244 W +FC Voltage : 3.180891803790758 V +PH2 : 2.1687657626079058 atm +PH2O : 2.669376426226989 atm +PO2 : 2.096826592315691 atm +Power-Thermal : 5.6413055727975605 W +########### +I :2.0 A + +E : 3.012009588474695 V +FC Efficiency : 0.40745363888936376 +FC Power : 6.356276766674075 W +FC Voltage : 3.1781383833370374 V +PH2 : 2.168751712226291 atm +PH2O : 2.669359132631661 atm +PO2 : 2.0968186594774925 atm +Power-Thermal : 5.943723233325926 W +########### +I :2.1 A + +E : 3.0120094486933398 V +FC Efficiency : 0.40711596633503955 +FC Power : 6.668559528567949 W +FC Voltage : 3.1755045374133086 V +PH2 : 2.168737661844677 atm +PH2O : 2.669341839036332 atm +PO2 : 2.096810726639294 atm +Power-Thermal : 6.246440471432053 W +########### +I :2.2 A + +E : 3.0120093089114555 V +FC Efficiency : 0.4067921969851981 +FC Power : 6.980554100266 W +FC Voltage : 3.172979136484545 V +PH2 : 2.168723611463063 atm +PH2O : 2.669324545441004 atm +PO2 : 2.096802793801096 atm +Power-Thermal : 6.5494458997340015 W 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+Power-Thermal : 341.77816412640414 W +########### +I :99.1 A + +E : 3.01187361112153 V +FC Efficiency : 0.3458133260752055 +FC Power : 267.3067847896123 W +FC Voltage : 2.6973439433866027 V +PH2 : 2.15510879167872 atm +PH2O : 2.652567051567645 atm +PO2 : 2.0891158735869384 atm +Power-Thermal : 342.1582152103877 W +########### +I :99.2 A + +E : 3.011873470824785 V +FC Efficiency : 0.3457682850717696 +FC Power : 267.54166825713247 W +FC Voltage : 2.696992623559803 V +PH2 : 2.155094741297106 atm +PH2O : 2.6525497579723165 atm +PO2 : 2.08910794074874 atm +Power-Thermal : 342.53833174286757 W +########### +I :99.3 A + +E : 3.0118733305275076 V +FC Efficiency : 0.3457232502918059 +FC Power : 267.77648628101537 W +FC Voltage : 2.696641352276086 V +PH2 : 2.1550806909154914 atm +PH2O : 2.652532464376988 atm +PO2 : 2.0891000079105417 atm +Power-Thermal : 342.9185137189847 W +########### +I :99.4 A + +E : 3.011873190229697 V +FC Efficiency : 0.3456782217227858 +FC Power : 268.0112388661103 W +FC Voltage : 2.6962901294377293 V +PH2 : 2.155066640533877 atm +PH2O : 2.652515170781659 atm +PO2 : 2.089092075072344 atm +Power-Thermal : 343.29876113388974 W +########### +I :99.5 A + +E : 3.0118730499313537 V +FC Efficiency : 0.3456331993522185 +FC Power : 268.24592601725675 W +FC Voltage : 2.6959389549473043 V +PH2 : 2.1550525901522626 atm +PH2O : 2.6524978771863306 atm +PO2 : 2.0890841422341455 atm +Power-Thermal : 343.67907398274326 W +########### +I :99.6 A + +E : 3.011872909632478 V +FC Efficiency : 0.345588183167651 +FC Power : 268.48054773928476 W +FC Voltage : 2.695587828707678 V +PH2 : 2.1550385397706484 atm +PH2O : 2.652480583591002 atm +PO2 : 2.089076209395947 atm +Power-Thermal : 344.05945226071526 W +########### +I :99.7 A + +E : 3.0118727693330696 V +FC Efficiency : 0.3455431731566678 +FC Power : 268.7151040370143 W +FC Voltage : 2.6952367506220094 V +PH2 : 2.155024489389034 atm +PH2O : 2.6524632899956737 atm +PO2 : 2.089068276557749 atm +Power-Thermal : 344.4398959629857 W +########### +I :99.8 A + +E : 3.0118726290331277 V +FC Efficiency : 0.3454981693068905 +FC Power : 268.94959491525583 W +FC Voltage : 2.6948857205937458 V +PH2 : 2.1550104390074196 atm +PH2O : 2.6524459964003455 atm +PO2 : 2.0890603437195505 atm +Power-Thermal : 344.8204050847442 W +########### +I :99.9 A + +E : 3.011872488732654 V +FC Efficiency : 0.345453171605978 +FC Power : 269.1840203788102 W +FC Voltage : 2.6945347385266287 V +PH2 : 2.1549963886258054 atm +PH2O : 2.652428702805017 atm +PO2 : 2.089052410881352 atm +Power-Thermal : 345.20097962118984 W +########### diff --git a/Documents/Padulles2.ipynb b/Documents/Padulles2.ipynb index deb94039..3d5a12b7 100644 --- a/Documents/Padulles2.ipynb +++ b/Documents/Padulles2.ipynb @@ -871,7 +871,7 @@ ], "source": [ "from opem.Dynamic.Padulles2 import Dynamic_Analysis\n", - "Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + "Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False)" ] }, { @@ -894,402 +894,12 @@ "Padulles-II-Model Simulation\n", "###########\n", "Analyzing . . .\n", - "I : 0.1\n", - "E : 3.0120122442199793 V\n", - "FC Efficiency : 0.4265389961269225 \n", - "FC Power : 0.33270041697899955 W\n", - "FC Voltage : 3.3270041697899955 V\n", - "PH2 : 2.169018669476965 atm\n", - "PH2O : 2.669687710942903 atm\n", - "PO2 : 2.09696938340326 atm\n", - "Power-Thermal : 0.2822995830210005 W\n", - "###########\n", - "I : 0.2\n", - "E : 3.012012104448671 V\n", - "FC Efficiency : 0.42225504989786394 \n", - "FC Power : 0.6587178778406679 W\n", - "FC Voltage : 3.293589389203339 V\n", - "PH2 : 2.1690046190953503 atm\n", - "PH2O : 2.6696704173475743 atm\n", - "PO2 : 2.0969614505650616 atm\n", - "Power-Thermal : 0.5712821221593323 W\n", - "###########\n", - "I : 0.3\n", - "E : 3.0120119646768333 V\n", - "FC Efficiency : 0.4197329719509197 \n", - "FC Power : 0.9821751543651522 W\n", - "FC Voltage : 3.273917181217174 V\n", - "PH2 : 2.1689905687137356 atm\n", - "PH2O : 2.669653123752246 atm\n", - "PO2 : 2.0969535177268637 atm\n", - "Power-Thermal : 0.8628248456348478 W\n", - "###########\n", - "I : 0.4\n", - "E : 3.0120118249044676 V\n", - "FC Efficiency : 0.41793223959535725 \n", - "FC Power : 1.3039485875375147 W\n", - "FC Voltage : 3.259871468843787 V\n", - "PH2 : 2.1689765183321215 atm\n", - "PH2O : 2.6696358301569174 atm\n", - "PO2 : 2.0969455848886653 atm\n", - "Power-Thermal : 1.1560514124624854 W\n", - "###########\n", - "I : 0.5\n", - "E : 3.0120116851315726 V\n", - "FC Efficiency : 0.41652676431084773 \n", - "FC Power : 1.6244543808123062 W\n", - "FC Voltage : 3.2489087616246124 V\n", - "PH2 : 2.1689624679505073 atm\n", - "PH2O : 2.669618536561589 atm\n", - "PO2 : 2.096937652050467 atm\n", - "Power-Thermal : 1.450545619187694 W\n", - "###########\n", - "I : 0.6\n", - "E : 3.012011545358149 V\n", - "FC Efficiency : 0.4153712975747617 \n", - "FC Power : 1.943937672649885 W\n", - "FC Voltage : 3.2398961210831416 V\n", - "PH2 : 2.1689484175688927 atm\n", - "PH2O : 2.6696012429662606 atm\n", - "PO2 : 2.0969297192122687 atm\n", - "Power-Thermal : 1.7460623273501152 W\n", - "###########\n", - "I : 0.7\n", - "E : 3.0120114055841967 V\n", - "FC Efficiency : 0.4143883594017745 \n", - "FC Power : 2.2625604423336885 W\n", - "FC Voltage : 3.232229203333841 V\n", - "PH2 : 2.1689343671872785 atm\n", - "PH2O : 2.669583949370932 atm\n", - "PO2 : 2.0969217863740703 atm\n", - "Power-Thermal : 2.0424395576663112 W\n", - "###########\n", - "I : 0.8\n", - "E : 3.0120112658097153 V\n", - "FC Efficiency : 0.4135317011453444 \n", - "FC Power : 2.580437815146949 W\n", - "FC Voltage : 3.225547268933686 V\n", - "PH2 : 2.168920316805664 atm\n", - "PH2O : 2.6695666557756033 atm\n", - "PO2 : 2.096913853535872 atm\n", - "Power-Thermal : 2.3395621848530515 W\n", - "###########\n", - "I : 0.9\n", - "E : 3.0120111260347056 V\n", - "FC Efficiency : 0.41277149148017567 \n", - "FC Power : 2.897655870190834 W\n", - "FC Voltage : 3.219617633545371 V\n", - "PH2 : 2.1689062664240497 atm\n", - "PH2O : 2.6695493621802746 atm\n", - "PO2 : 2.0969059206976737 atm\n", - "Power-Thermal : 2.6373441298091667 W\n", - "###########\n", - "I : 1.0\n", - "E : 3.0120109862591664 V\n", - "FC Efficiency : 0.4120873617867766 \n", - "FC Power : 3.2142814219368576 W\n", - "FC Voltage : 3.2142814219368576 V\n", - "PH2 : 2.168892216042435 atm\n", - "PH2O : 2.669532068584946 atm\n", - "PO2 : 2.0968979878594753 atm\n", - "Power-Thermal : 2.9357185780631427 W\n", - "###########\n", - "I : 1.1\n", - "E : 3.0120108464830992 V\n", - "FC Efficiency : 0.4114647839578894 \n", - "FC Power : 3.5303678463586916 W\n", - "FC Voltage : 3.2094253148715377 V\n", - "PH2 : 2.168878165660821 atm\n", - "PH2O : 2.6695147749896178 atm\n", - "PO2 : 2.096890055021277 atm\n", - "Power-Thermal : 3.234632153641309 W\n", - "###########\n", - "I : 1.2\n", - "E : 3.0120107067065027 V\n", - "FC Efficiency : 0.41089303097642904 \n", - "FC Power : 3.845958769939376 W\n", - "FC Voltage : 3.2049656416161465 V\n", - "PH2 : 2.1688641152792063 atm\n", - "PH2O : 2.669497481394289 atm\n", - "PO2 : 2.0968821221830787 atm\n", - "Power-Thermal : 3.5340412300606245 W\n", - "###########\n", - "I : 1.3\n", - "E : 3.0120105669293777 V\n", - "FC Efficiency : 0.4103639566273662 \n", - "FC Power : 4.161090520201494 W\n", - "FC Voltage : 3.2008388616934567 V\n", - "PH2 : 2.168850064897592 atm\n", - "PH2O : 2.669480187798961 atm\n", - "PO2 : 2.0968741893448803 atm\n", - "Power-Thermal : 3.833909479798507 W\n", - "###########\n", - "I : 1.4\n", - "E : 3.012010427151724 V\n", - "FC Efficiency : 0.40987122872897686 \n", - "FC Power : 4.475793817720427 W\n", - "FC Voltage : 3.1969955840860194 V\n", - "PH2 : 2.168836014515978 atm\n", - "PH2O : 2.6694628942036323 atm\n", - "PO2 : 2.096866256506682 atm\n", - "Power-Thermal : 4.1342061822795735 W\n", - "###########\n", - "I : 1.5\n", - "E : 3.012010287373541 V\n", - "FC Efficiency : 0.409409827543193 \n", - "FC Power : 4.790094982255358 W\n", - "FC Voltage : 3.1933966548369055 V\n", - "PH2 : 2.1688219641343633 atm\n", - "PH2O : 2.6694456006083036 atm\n", - "PO2 : 2.0968583236684837 atm\n", - "Power-Thermal : 4.434905017744642 W\n", - "###########\n", - "I : 1.6\n", - "E : 3.0120101475948298 V\n", - "FC Efficiency : 0.40897570639787845 \n", - "FC Power : 5.104016815845523 W\n", - "FC Voltage : 3.190010509903452 V\n", - "PH2 : 2.1688079137527487 atm\n", - "PH2O : 2.669428307012975 atm\n", - "PO2 : 2.096850390830286 atm\n", - "Power-Thermal : 4.7359831841544775 W\n", - "###########\n", - "I : 1.7\n", - "E : 3.012010007815589 V\n", - "FC Efficiency : 0.4085655553769282 \n", - "FC Power : 5.417579264298068 W\n", - "FC Voltage : 3.18681133194004 V\n", - "PH2 : 2.1687938633711346 atm\n", - "PH2O : 2.6694110134176463 atm\n", - "PO2 : 2.0968424579920875 atm\n", - "Power-Thermal : 5.037420735701932 W\n", - "###########\n", - "I : 1.8\n", - "E : 3.01200986803582 V\n", - "FC Efficiency : 0.40817663265783805 \n", - "FC Power : 5.730799922516047 W\n", - "FC Voltage : 3.183777734731137 V\n", - "PH2 : 2.16877981298952 atm\n", - "PH2O : 2.6693937198223177 atm\n", - "PO2 : 2.096834525153889 atm\n", - "Power-Thermal : 5.339200077483954 W\n", - "###########\n", - "I : 1.9\n", - "E : 3.012009728255522 V\n", - "FC Efficiency : 0.4078066415116356 \n", - "FC Power : 6.04369442720244 W\n", - "FC Voltage : 3.180891803790758 V\n", - "PH2 : 2.1687657626079058 atm\n", - "PH2O : 2.669376426226989 atm\n", - "PO2 : 2.096826592315691 atm\n", - "Power-Thermal : 5.6413055727975605 W\n", - "###########\n", - "I : 2.0\n", - "E : 3.012009588474695 V\n", - "FC Efficiency : 0.40745363888936376 \n", - "FC Power : 6.356276766674075 W\n", - "FC Voltage : 3.1781383833370374 V\n", - "PH2 : 2.168751712226291 atm\n", - "PH2O : 2.669359132631661 atm\n", - "PO2 : 2.0968186594774925 atm\n", - "Power-Thermal : 5.943723233325926 W\n", - "###########\n", - "I : 2.1\n", - "E : 3.0120094486933398 V\n", - "FC Efficiency : 0.40711596633503955 \n", - "FC Power : 6.668559528567949 W\n", - "FC Voltage : 3.1755045374133086 V\n", - "PH2 : 2.168737661844677 atm\n", - "PH2O : 2.669341839036332 atm\n", - "PO2 : 2.096810726639294 atm\n", - "Power-Thermal : 6.246440471432053 W\n", - "###########\n", - "I : 2.2\n", - "E : 3.0120093089114555 V\n", - "FC Efficiency : 0.4067921969851981 \n", - "FC Power : 6.980554100266 W\n", - "FC Voltage : 3.172979136484545 V\n", - "PH2 : 2.168723611463063 atm\n", - "PH2O : 2.669324545441004 atm\n", - "PO2 : 2.096802793801096 atm\n", - "Power-Thermal : 6.5494458997340015 W\n", - "###########\n", - "I : 2.3\n", - "E : 3.012009169129042 V\n", - "FC Efficiency : 0.4064810943595029 \n", - "FC Power : 7.292270832809483 W\n", - "FC Voltage : 3.170552536004123 V\n", - "PH2 : 2.168709561081448 atm\n", - "PH2O : 2.6693072518456753 atm\n", - "PO2 : 2.0967948609628975 atm\n", - "Power-Thermal : 6.8527291671905175 W\n", - "###########\n", - "I : 2.4\n", - "E : 3.0120090293460997 V\n", - "FC Efficiency : 0.40618157992825576 \n", - "FC Power : 7.603719176256948 W\n", - "FC Voltage : 3.168216323440395 V\n", - "PH2 : 2.168695510699834 atm\n", - "PH2O : 2.6692899582503467 atm\n", - "PO2 : 2.096786928124699 atm\n", - "Power-Thermal : 7.156280823743052 W\n", - "###########\n", - "I : 2.5\n", - "E : 3.0120088895626287 V\n", - "FC Efficiency : 0.40589270730496035 \n", - "FC Power : 7.914907792446728 W\n", - "FC Voltage : 3.1659631169786913 V\n", - "PH2 : 2.1686814603182194 atm\n", - "PH2O : 2.669272664655018 atm\n", - "PO2 : 2.096778995286501 atm\n", - "Power-Thermal : 7.460092207553273 W\n", - "###########\n", - "I : 2.6\n", - "E : 3.0120087497786283 V\n", - "FC Efficiency : 0.40561364150350754 \n", - "FC Power : 8.225844649691133 W\n", - "FC Voltage : 3.163786403727359 V\n", - "PH2 : 2.168667409936605 atm\n", - "PH2O : 2.6692553710596894 atm\n", - "PO2 : 2.0967710624483025 atm\n", - "Power-Thermal : 7.764155350308868 W\n", - "###########\n", - "I : 2.7\n", - "E : 3.0120086099941004 V\n", - "FC Efficiency : 0.405343642112191 \n", - "FC Power : 8.536537102882745 W\n", - "FC Voltage : 3.1616804084750902 V\n", - "PH2 : 2.1686533595549906 atm\n", - "PH2O : 2.6692380774643607 atm\n", - "PO2 : 2.096763129610104 atm\n", - "Power-Thermal : 8.068462897117257 W\n", - "###########\n", - "I : 2.8\n", - "E : 3.0120084702090426 V\n", - "FC Efficiency : 0.4050820495292294 \n", - "FC Power : 8.84699196171837 W\n", - "FC Voltage : 3.1596399863279894 V\n", - "PH2 : 2.168639309173376 atm\n", - "PH2O : 2.6692207838690325 atm\n", - "PO2 : 2.096755196771906 atm\n", - "Power-Thermal : 8.37300803828163 W\n", - "###########\n", - "I : 2.9\n", - "E : 3.0120083304234564 V\n", - "FC Efficiency : 0.404828273614746 \n", - "FC Power : 9.157215549165555 W\n", - "FC Voltage : 3.1576605341950192 V\n", - "PH2 : 2.168625258791762 atm\n", - "PH2O : 2.669203490273704 atm\n", - "PO2 : 2.0967472639337075 atm\n", - "Power-Thermal : 8.677784450834444 W\n", - "###########\n", - "I : 3.0\n", - "E : 3.012008190637341 V\n", - "FC Efficiency : 0.40458178426735336 \n", - "FC Power : 9.467213751856068 W\n", - "FC Voltage : 3.1557379172853564 V\n", - "PH2 : 2.1686112084101477 atm\n", - "PH2O : 2.6691861966783756 atm\n", - "PO2 : 2.0967393310955096 atm\n", - "Power-Thermal : 8.982786248143931 W\n", - "###########\n", - "I : 3.1\n", - "E : 3.0120080508506963 V\n", - "FC Efficiency : 0.4043421035464688 \n", - "FC Power : 9.776992063753617 W\n", - "FC Voltage : 3.1538684076624572 V\n", - "PH2 : 2.168597158028533 atm\n", - "PH2O : 2.669168903083047 atm\n", - "PO2 : 2.0967313982573113 atm\n", - "Power-Thermal : 9.288007936246384 W\n", - "###########\n", - "I : 3.2\n", - "E : 3.0120079110635234 V\n", - "FC Efficiency : 0.40410879904574315 \n", - "FC Power : 10.08655562418175 W\n", - "FC Voltage : 3.152048632556797 V\n", - "PH2 : 2.168583107646919 atm\n", - "PH2O : 2.6691516094877183 atm\n", - "PO2 : 2.096723465419113 atm\n", - "Power-Thermal : 9.593444375818251 W\n", - "###########\n", - "I : 3.3\n", - "E : 3.0120077712758215 V\n", - "FC Efficiency : 0.40388147828648513 \n", - "FC Power : 10.395909251094128 W\n", - "FC Voltage : 3.1502755306345844 V\n", - "PH2 : 2.1685690572653042 atm\n", - "PH2O : 2.6691343158923897 atm\n", - "PO2 : 2.0967155325809146 atm\n", - "Power-Thermal : 9.899090748905872 W\n", - "###########\n", - "I : 3.4\n", - "E : 3.0120076314875908 V\n", - "FC Efficiency : 0.403659783948294 \n", - "FC Power : 10.705057470308757 W\n", - "FC Voltage : 3.1485463147966937 V\n", - "PH2 : 2.16855500688369 atm\n", - "PH2O : 2.669117022297061 atm\n", - "PO2 : 2.0967075997427163 atm\n", - "Power-Thermal : 10.204942529691243 W\n", - "###########\n", - "I : 3.5\n", - "E : 3.012007491698831 V\n", - "FC Efficiency : 0.4034433897912177 \n", - "FC Power : 11.014004541300244 W\n", - "FC Voltage : 3.1468584403714983 V\n", - "PH2 : 2.1685409565020755 atm\n", - "PH2O : 2.6690997287017324 atm\n", - "PO2 : 2.096699666904518 atm\n", - "Power-Thermal : 10.510995458699757 W\n", - "###########\n", - "I : 3.6\n", - "E : 3.0120073519095425 V\n", - "FC Efficiency : 0.4032319971525013 \n", - "FC Power : 11.322754480042237 W\n", - "FC Voltage : 3.1452095777895104 V\n", - "PH2 : 2.168526906120461 atm\n", - "PH2O : 2.669082435106404 atm\n", - "PO2 : 2.0966917340663196 atm\n", - "Power-Thermal : 10.817245519957764 W\n", - "###########\n", - "I : 3.7\n", - "E : 3.012007212119725 V\n", - "FC Efficiency : 0.40302533192342654 \n", - "FC Power : 11.631311079310091 W\n", - "FC Voltage : 3.1435975890027272 V\n", - "PH2 : 2.1685128557388467 atm\n", - "PH2O : 2.6690651415110755 atm\n", - "PO2 : 2.0966838012281213 atm\n", - "Power-Thermal : 11.123688920689911 W\n", - "###########\n", - "I : 3.8\n", - "E : 3.0120070723293786 V\n", - "FC Efficiency : 0.402823141929393 \n", - "FC Power : 11.939677926787208 W\n", - "FC Voltage : 3.1420205070492657 V\n", - "PH2 : 2.168498805357232 atm\n", - "PH2O : 2.669047847915747 atm\n", - "PO2 : 2.096675868389923 atm\n", - "Power-Thermal : 11.43032207321279 W\n", - "###########\n", - "I : 3.9\n", - "E : 3.0120069325385037 V\n", - "FC Efficiency : 0.4026251946503726 \n", - "FC Power : 12.247858421264336 W\n", - "FC Voltage : 3.140476518272907 V\n", - "PH2 : 2.168484754975618 atm\n", - "PH2O : 2.6690305543204187 atm\n", - "PO2 : 2.0966679355517246 atm\n", - "Power-Thermal : 11.737141578735665 W\n", - "###########\n", "Done!\n" ] } ], "source": [ - "Data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=True)" + "Data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=False)" ] }, { @@ -1320,6 +930,243 @@ "Dynamic_Analysis(InputMethod={},TestMode=True,PrintMode=False,ReportMode=True)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", + "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" + ] + } + ], + "source": [ + "import sys\n", + "!{sys.executable} -m pip install matplotlib;\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_func(x,y,x_label,y_label,color='green'):\n", + " plt.figure()\n", + " plt.plot(x,y,color=color)\n", + " plt.xlabel(x_label)\n", + " plt.ylabel(y_label)\n", + " plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "Test_Vector = {\n", + " \"T\": 343,\n", + " \"E0\": 0.6,\n", + " \"N0\": 5,\n", + " \"KO2\": 0.0000211,\n", + " \"KH2\": 0.0000422,\n", + " \"KH2O\": 0.000007716,\n", + " \"tH2\": 3.37,\n", + " \"tO2\": 6.74,\n", + " \"tH2O\": 18.418,\n", + " \"B\": 0.04777,\n", + " \"C\": 0.0136,\n", + " \"Rint\": 0.00303,\n", + " \"rho\": 1.168,\n", + " \"qH2\": 0.0004,\n", + " \"i-start\": 0.1,\n", + " \"i-stop\": 100,\n", + " \"i-step\": 0.1,\n", + " \"Name\": \"Padulles2_Vector\"}\n", + "data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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vbq35k8QzyRlimgXMAjCzjMBdQA3gfaAkoBOvRa7Smn1raP1tazYd2ESDMg0YUmcIRXIX8TqWhLlk/dPEzPKb2ZP49iI+AJ4BFgEtLvGecWZ20Mw2J1rW18z2mdlG/5/HEr3Ww8x2mdl2M9NdTCQsnIg9Qae5nag8pjKHTx9m+nPTmdJwispBgkJyjkHsBI4B3wDzgX86504m42d/AgzDdwZUYoOccx/87TNuAxoBt+O7zmKRmd3snItPxueIpEuzd8ym3ex2RB2PosM9Hehfqz95subxOpbIfyTnGMQ4oDLQALgDKGtmq4ANl/oF7pxbbmYlkpmjHjDZORcL7DazXUAlYFUy3y+SbsSciqHTvE5M2jyJ2wvczvctvue+Yvd5HUvkfyTnGMQ7Fx6b2c34Dli3BqqZWYxzrnoKP7Ojmb0IrAVedc79BRQFVidaJ8q/TCRkXJh1tdO8ThyPPU6/Gv3oXrU7WTJm8TqaSJKSfXqEmZXC96/6e/HtURQATqTw84YDNwJ3AtHAwAs/Pol13UVytDGztWa2NiYmJoUfL+KNvcf2UndSXZpMa0Lp60qzoe0GelfvrXKQoJacYxDT8BXCMXxDPt8DQ51zv6b0wxKfEmtmo/GfHYVvjyHxbGPXA/sv8jNGAaMAKlasmGSJiASLBJfAiLUjeH3R6yS4BAY/MpiOlTpq1lVJF5JzDGI80No5d+hqP8zMIpxz0f6nTwEXznCaCXxhZh/iO0hdGlhztZ8n4qXth7bT+tvWrPhjBbVL1WZk3ZGUvKak17FEki05BXHkUuVgZnmA4s65zX9bPgnf9RL5zSwK6APUMLM78Q0f7QHaAjjntpjZV8CvQBzQQWcwSXp1Pv48H/zwAf2W9SNH5hx8Uu8TXiz/omZdlXQnOQXRwMzeA+bhm3fpwmyuNwE1gRuAV//+Judc4yR+1kUn9HPO9cd3nYVIurU+ej0tZ7Zk458beea2ZxhaZyiFcxX2OpbIFUnOWUxd/PeBeAZ4FojAdz+IrcBI59zKwEYUCX5nzp+h37J+fPDDBxTIWYCpDafyVJmnvI4lclWSe8OgY8Ax51yzAGYRSZeW/76cVjNbsfPITlre1ZL3a7/PNdmv8TqWyFVL1mmu/jvHdQxwFpF05XjscdrNakf1T6oT7+JZ1HQRY54co3KQkJGSW44uNLPXgC+BUxcWOueOpHoqkSA3a8csXpr1EtEno+lauStv1nyTnFlyeh1LJFWlpCAuTMzXIdEyB5RKvTgiwS3xNBllC5Zl6nNTqVS0ktexRAIi2QXhnNMJ3BK2/j5Nxps13uT1qq/rSmgJackuCDPLAXTFd81DGzMrDdziv1+ESMjae2wvL81+iTk751D5+sqMfXIstxW4zetYIgGXkiGm8fiug7jf/zwK+Jr/TpchElKcc4xaN4puC7sR7+L56NGP6HBPB02TIWEjJQVxo3PuOTNrDOCcO2O6NFRC1O6/dtPq21Ys2b2EWiVrMfqJ0ZomQ8JOSgrinJllxz/LqpndCMQGJJWIRxJcAh+v+Zjui7uT0TIysu5IWldorWkyJCylpCD64ptuo5iZTQSqAM0CkEnEEzsP76TlzJas+GMFj970KKPqjqJY3mKXf6NIiErJWUwLzGwdvqm/DeiUGjO8ingtPiGewasH0+u7XmTLlI3x9cYTWT5Sew0S9lJyFtNnwHJghXNuW+AiiaSdrTFbaTGzBaujVvPkLU8y/PHhFMldxOtYIkEh2XeUw3cWUwQw1Mz+bWbfmFmnAOUSCai4hDjeWfEOd468kx2HdzDx6YlMf266ykEkkZQMMS0xs2XAPfim+X4JuB34KEDZRALilwO/0HxGc9ZFr6NBmQZ8/NjHFMpVyOtYIkEnJUNMi4Gc+G47ugK4xzl3MFDBRFLbufhzvLvyXf65/J/ky5aPr5/9mmdue8brWCJBKyVnMW0C7gbK4pv++6iZrXLOnQlIMpFUtD56Pc1nNGfTgU00LtuYIXWGkD9Hfq9jiQS1lAwxdQEws1xAc3zHJAoDWQMTTeTqxcbF8tbyt3h35bsUyFmA6c9Np96t9byOJZIupGSIqSNQDd9exO/AOHxDTSJBac2+NTSf0ZxfY34lsnwkgx4ZpHs1iKRASoaYsgMfAuucc3EByiNy1c6cP0OfpX0YuGogRXIXYc7zc6hTuo7XsUTSnZQMMb1vZuWBl/wXEK1wzv0csGQiV+D7P76nxcwW7Di8g9YVWvN+7ffJmy2v17FE0qVkXwdhZq8AE4GC/j+fm9nLgQomkhKnz5+m6/yuVBtfjdi4WBY2XcioJ0apHESuQkqGmFoB9zrnTgGY2QB8p7wODUQwkeRatXcVzWY0Y8fhHbSr2I4BDw0gd9bcXscSSfdSUhAGxCd6Hu9fJuKJs3Fn6f1dbwauGsj1ea5nUdNF1CpVy+tYIiEjpTcM+tHMpvmf1wfGpn4kkctbs28NkdMj2XZoG20qtOH9h98nT9Y8XscSCSkpOUj9oZktBari23No7pzbEKhgIkmJjYul79K+vPfDexTJXYT5Tebz8I0Pex1LJCRdtiDMLBu+eZduAn4B/qXTXMULa/evpdn0ZmyJ2UKLO1vw4SMf6iC0SAAlZw9iAnAe30VxdYAyQOdAhhJJ7Fz8Od5a9hbvrHyHQrkK6boGkTSSnIK4zTl3B4CZjQXWJOcHm9k4oC5w0DlX1r/sWuBLoASwB2jonPvLf2/rj4DHgNNAM+fc+pR9FQlFG6I30GxGMzYd2KSroUXSWHKugzh/4UEKh5Y+AR7927LuwGLnXGlgsf85+PZMSvv/tAGGp+BzJASdjz9Pv6X9qDSmEgdPHWRmo5l8Uv8TlYNIGkrOHkR5Mzvuf2xAdv9zA5xzLslTR5xzy82sxN8W1wNq+B9PAJYCr/uXf+qcc8BqM8tnZhHOuegUfBcJEZsObKLZ9GZs+HMDL9zxAkPqDOHa7Nd6HUsk7Fy2IJxzGVPx8wpd+KXvnIs2s4L+5UWBvYnWi/IvU0GEkbiEOAasHEC/Zf24Jvs1THtuGvVvre91LJGwlZLrIAIpqQvuXJIrmrXBNwxF8eLFA5lJ0tCWg1uInB7Juuh1NCrbiKF1hup+DSIeS8k9qVPDATOLAPD/feGOdFFAsUTrXQ/sT+oHOOdGOecqOucqFihQIKBhJfAu7DVUGFWB34/9ztfPfs2kBpNUDiJBIK0LYiYQ6X8cCcxItPxF86kMHNPxh9C37dA2qo6rSvfF3Xni5ifY0n6LbgEqEkQCNsRkZpPwHZDOb2ZRQB/gXeArM2sJ/AE86199Dr5TXHfhO821eaByiffiE+IZvHowbyx5g5xZcjK5wWQa3t4Q/zTyIhIkAlYQzrnGF3npf2ZT85+91CFQWSR4/PbXbzSb3owVf6yg3i31GFF3BIVzFfY6logkIVgOUkuIc84xev1ous7vSsYMGZlQfwJNyzXVXoNIEFNBSMDtP7GfVjNbMXfXXGqVrMW4euMonldnoIkEOxWEBNTkzZNpP7s9Z+POMrTOUNrf054MltbnRojIlVBBSEAcPn2Y9nPa89WWr6h8fWUm1J/Azdfd7HUsEUkBFYSkutk7ZtPq21YcPn2Ytx98m25VupEpg/5TE0lv9H+tpJrjscfpOr8rYzeM5Y6CdzDvhXmUL1ze61gicoVUEJIqlu5ZSrPpzdh7fC/dq3Snb42+ZM2U1etYInIVVBByVc6cP0PPxT0Z/ONgbrr2JlY0X8H9xe73OpaIpAIVhFyxtfvX0nRaU7Yd2kaHezow4KEB5MyS0+tYIpJKVBCSYufjz/PP5f+k/4r+ROSOYEGTBdS+sbbXsUQklakgJEW2HNzCi9NfZH30el4s/yIfPfoR+bLl8zqWiASACkKSJT4hnkGrB9FrSS/yZM3D1IZTearMU17HEpEAUkHIZSWeYK/+rfUZWXckBXMWvPwbRSRdU0HIRTnnGL9xPJ3mdSKDZdAEeyJhRgUhSYo5FUObWW2Yvm06NUvU5JP6n2iCPZEwo4KQ/zF7x2xazGzB0bNHGfjwQDpX7qwJ9kTCkApC/uPUuVO8uuBVRq4bSblC5VjUdBF3FLrD61gi4hEVhADwY9SPNJnWhH8f+Tfd7u/GWzXf0lQZImFOBRHmzsefp/+K/vxz+T8pmqco30V+R/US1b2OJSJBQAURxrYf2k7TaU35af9PNC3XlKF1hpI3W16vY4lIkFBBhCHnHCPWjuDVBa+SPXN2vnrmK569/VmvY4lIkFFBhJnoE9G0nNmSubvm8vCNDzO+3niK5C7idSwRCUIqiDAydetU2nzbhlPnTzGszjDa39NeF72JyEWpIMLA8djjdJrXiU82fsLdEXfz+dOfc2v+W72OJSJBTgUR4lb8voIXp7/IH8f+oFe1XvSu3pvMGTN7HUtE0gEVRIg6F3+OPt/1YcD3Ayh1TSlWNl/JfcXu8zqWiKQjKogQtOXgFppMa8LGPzfS6q5WDHp0ELmy5PI6loikMyqIEOKcY9iaYXRb2I08WfMwo9EMnrzlSa9jiUg65UlBmNke4AQQD8Q55yqa2bXAl0AJYA/Q0Dn3lxf50qMDJw/QfEZz5u6ay2OlH2Pck+MolKuQ17FEJB3zcorOms65O51zFf3PuwOLnXOlgcX+55IMs3fM5o7hd/Ddnu8YVmcYsxrPUjmIyFULpjmc6wET/I8nAPU9zJIunDl/ho5zOlJ3Ul0ickewtvVaOlTqoGsbRCRVeHUMwgELzMwBI51zo4BCzrloAOdctJkleU9LM2sDtAEoXjx8b2Cz8c+NPP/N82w9tJWulbvydq23NfuqiKQqrwqiinNuv78EFprZtuS+0V8mowAqVqzoAhUwWCW4BAatGkTPJT25Lvt1LGiygNo31vY6loiEIE8Kwjm33//3QTObBlQCDphZhH/vIQI46EW2YLbv+D4ip0eyePdi6t9an9FPjCZ/jvxexxKREJXmxyDMLKeZ5b7wGHgY2AzMBCL9q0UCM9I6WzCbtnUa5UaUY1XUKkbVHcXUhlNVDiISUF7sQRQCpvkPpGYCvnDOzTOzn4CvzKwl8Aeg+aeBk+dO0mVeF8ZsGMPdEXcz8emJ3JL/Fq9jiUgYSPOCcM79BpRPYvlhoFZa5wlmP+37iRemvsCuI7voXqU7/Wr2I0vGLF7HEpEwoSupg1B8Qjzvff8evZf2JiJXBEsil1CjRA2vY4lImFFBBJk/jv1B02lNWf77chre3pARj4/gmuzXeB1LRMKQCiKIfLn5S9rOaku8i2dC/Qk0LddUF72JiGdUEEHgROwJOs7tyKc/f0rl6yvz+VOfc+O1N3odS0TCnArCYz/t+4nG3zRm99Hd9H6gN/9X/f/IlEGbRUS8p99EHklwCQz8YSA9l/QkIlcESyOXUu2Gal7HEhH5DxWEB6JPRBM5PZKFvy2kQZkGjH5itA5Ei0jQUUGksTk759BsejNOnjvJyLojaV2htQ5Ei0hQCqbpvkNabFwsXeZ14fEvHqdwrsKsbbOWNne3UTmISNDSHkQa2H5oO42+acTGPzfS8Z6OvP/w+2TLlM3rWCIil6SCCCDnHOM3jufluS+TPVN23SNaRNIVFUSAHD17lJdmvcSXW76kZomafPbUZxTNU9TrWCIiyaaCCIAf9v7A8988T9TxKPo/2J/Xq7xOxgwZvY4lIpIiKohUFJ8Qz7sr36XP0j4Uy1uMlS1WUvn6yl7HEhG5IiqIVBJ1PIqm05qydM9SGpVtxIjHR5A3W16vY4mIXDEVRCqYsW0GLWa2IDYulvH1xhNZPlKnr4pIuqeCuAqxcbH8Y+E/GLJmCHcVvovJz0zm5utu9jqWiEiqUEFcoV1HdvHclOdYH72eTvd2YsBDA8iaKavXsUREUo0K4gpM3jyZNt+2IVOGTLq2QURClgoiBc6cP0PneZ0ZtX4U9xe7n0kNJlE8b3GvY4mIBIQKIpm2xmyl4ZSGbD64me5VuvNmzTfJnDGz17FERAJGBXEZzjkm/DyBDnM6kDNzTua9MI9HbnrE61giIgGngriEk+dO0n52ez7b9Bk1S9Tk86c/p0juIl7HEhFJEyqIi/j5z59pOKUhu47sol+NfrxR7Q1NlyEiYUUF8TfOOUauG0nneZ2I4q1TAAAG30lEQVS5Nvu1LH5xMTVK1PA6lohImlNBJHLs7DFaf9uar3/9mkdvepRP639KgZwFvI4lIuIJFYTfz3/+zDNfP8Puv3Yz4KEBvHb/a2Qw3XBPRMKXCgIYt2EcHeZ04Nrs17K02VKqFq/qdSQREc8F3T+RzexRM9tuZrvMrHsgP+v0+dM0n9GcljNbUrV4VTa03aByEBHxC6o9CDPLCHwM1AaigJ/MbKZz7tfU/qwdh3fwzFfPsPngZno/0Jve1XvrLCURkUSCqiCASsAu59xvAGY2GagHpGpBzN81n2e/fpYsGbMw94W5uvBNRCQJwTbEVBTYm+h5lH/Zf5hZGzNba2ZrY2JiruhDSl1TivuL3c+GthtUDiIiFxFsBZHUXXbc//fEuVHOuYrOuYoFClzZKailryvNvCbzKJa32BW9X0QkHARbQUQBiX9rXw/s9yiLiEhYC7aC+AkobWYlzSwL0AiY6XEmEZGwFFQHqZ1zcWbWEZgPZATGOee2eBxLRCQsBVVBADjn5gBzvM4hIhLugm2ISUREgoQKQkREkqSCEBGRJKkgREQkSeacu/xaQcrMYoDfr/Dt+YFDqRgnPdB3Dg/6zuHhar7zDc65y15pnK4L4mqY2VrnXEWvc6QlfefwoO8cHtLiO2uISUREkqSCEBGRJIVzQYzyOoAH9J3Dg75zeAj4dw7bYxAiInJp4bwHISIilxCWBZGW9732ipkVM7PvzGyrmW0xs07+5dea2UIz2+n/+xqvs6YmM8toZhvMbJb/eUkz+9H/fb/0zxIcUswsn5lNMbNt/u19XyhvZzPr4v9verOZTTKzbKG4nc1snJkdNLPNiZYluV3NZ4j/d9omM6uQGhnCriAS3fe6DnAb0NjMbvM2VUDEAa8658oAlYEO/u/ZHVjsnCsNLPY/DyWdgK2Jng8ABvm/719AS09SBdZHwDzn3K1AeXzfPyS3s5kVBV4BKjrnyuKb9bkRobmdPwEe/duyi23XOkBp/582wPDUCBB2BUGi+147584BF+57HVKcc9HOufX+xyfw/dIoiu+7TvCvNgGo703C1Gdm1wOPA2P8zw14EJjiXyWkvi+AmeUBHgDGAjjnzjnnjhLC2xnfLNTZzSwTkAOIJgS3s3NuOXDkb4svtl3rAZ86n9VAPjOLuNoM4VgQl73vdagxsxLAXcCPQCHnXDT4SgQo6F2yVDcY+AeQ4H9+HXDUORfnfx6K27oUEAOM9w+tjTGznITodnbO7QM+AP7AVwzHgHWE/na+4GLbNSC/18KxIC573+tQYma5gG+Azs65417nCRQzqwscdM6tS7w4iVVDbVtnAioAw51zdwGnCJHhpKT4x9zrASWBIkBOfMMrfxdq2/lyAvLfejgWRNjc99rMMuMrh4nOuan+xQcu7Hr6/z7oVb5UVgV40sz24Bs2fBDfHkU+/1AEhOa2jgKinHM/+p9PwVcYobqdHwJ2O+dinHPnganA/YT+dr7gYts1IL/XwrEgwuK+1/7x97HAVufch4lemglE+h9HAjPSOlsgOOd6OOeud86VwLdNlzjnXgC+A57xrxYy3/cC59yfwF4zu8W/qBbwKyG6nfENLVU2sxz+/8YvfN+Q3s6JXGy7zgRe9J/NVBk4dmEo6mqE5YVyZvYYvn9dXrjvdX+PI6U6M6sKrAB+4b9j8j3xHYf4CiiO73+2Z51zfz8Qlq6ZWQ3gNedcXTMrhW+P4lpgA9DEORfrZb7UZmZ34jswnwX4DWiO7x9/Ibmdzawf8By+M/U2AK3wjbeH1HY2s0lADXyzth4A+gDTSWK7+styGL6znk4DzZ1za686QzgWhIiIXF44DjGJiEgyqCBERCRJKggREUmSCkJERJKkghARkSSpIEREJEkqCJErZGYnEz2OuDDFeKJlH5nZPjPLkGhZXf95/CJBTwUhkjq6AqMvPPGXwlP4JlB7INF6s/FNCZIjbeOJpJwKQiR1NADmJXpeE9iMb17+xhcWOt+VqUuBumkZTuRKqCBErpKZlQT++tvUDo2BScA0oK5/4sQL1gLV0jCiyBVRQYhcvQh892QAwD8J5GPAdP8U6z8CDyda/yC+qapFglqmy68iIpdxBsiW6PmjQF7gF98cauTAN4HabP/r2fzvEQlqKgiRq7cDKJHoeWOglXNuEoD/Dm+7zSyHc+40cDO+4xMiQU1DTCJXyTl3Cvi3md3kPzvpEf67t3Dh9ZXAE/5FNRO/LhKsNN23SCows6eAu51zvS6zXiHgC+dcrbRJJnLlNMQkkgqcc9PM7LpkrFoceDXQeURSg/YgREQkSToGISIiSVJBiIhIklQQIiKSJBWEiIgkSQUhIiJJ+n9j7KvIWhwBcQAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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94BgQ88uks7Fjx3L//fdzyy23sGfPHlatWkVVVZWumBKRfnEhGwnOBUJAOXC3mf1+jPYFQPSCgabg3O8ws4fNbA/wbeArwelaYIWZZZlZETCHyOrxrq9daWbVZlbd3Nx8AV9lYMrIyGDBggX80R/9EQUFBbz00kusXr2ad999N9mliUia6+uivP8N/D2wkEhozCX2f+lbN+c+Mubl7qvc/WoiK8M71mysJhIu1cB3gA1AWzevfdLdK929cvz48X35KmlhzJgx3HvvvXzqU5+ipaWFJ598kl/84hecPXs22aWJSJrq066zRIKhxC9sZrWJ3+0NTOK3cx7dWQP8M4C7twF/1vGEmW0Adl3AZ6c9MyMUClFcXMwvfvELNmzYQENDAx//+MeZOnUqZt1ltYjIxenrMFQ9cMUFvncVUGxmRWaWDXwOWBvdwMyKow5vIwgEMxtqZsOCxzcDbdET4/JbQ4YMYfny5dx///1kZ2ezZs0ann32WY4cOZLs0kQkjfT1aqjfAGXAZqC147y7L4/xuk8QGUbKBFa7+9+a2WNAtbuvNbMngJuAc0AL8Ii7N5jZFOAV4DxwAHjQ3Xvdxzvdr4bqi/b2djZv3syrr77KuXPnmD9/PosXLyYnJyfZpYlIiurr1VB9DYsbujvv7q9eRG0JobD4rZMnT/KrX/2KcDhMXl4eN910E6FQSENTIvIRcQ2L4A2vBIrd/ZdmNhTIdPeUWVKssPioAwcO8LOf/YwDBw4wadIkli1bRkHBRy5IE5FBLK7rLMzsD4EfA98LThUA/37x5Ul/KCgo4MEHH2TFihW0tLTw1FNP8ZOf/IRjx44luzQRGWD6ejXUw0QW2b0JkRshBSurJcWZGWVlZcyYMYM33niDjRs30tjYyLXXXsuiRYvIzc1NdokiMgD0NSxa3f1sx5i3mWXRzZoJSV05OTksWbKEyspKfv3rX7NhwwZqampYvHgxc+fOJTMzM9klikgK6+uls6+a2V8AQ4JLWX8E/DRxZUmijBgxgjvuuIMvfelLTJgwgVdeeYVVq1bR2NioDQpFpEd9vRoqA3gQuIXIyuxXgKcucJFeQmmC+8K5O3v27OHnP/85zc3NFBQUsHTpUoqKipJdmoj0k7hfDZXqFBYX7/z584TDYV599VWOHz9OUVERS5YsYdKkSckuTUQSLC5hYWbPuftnzWwb3e/rFLq0MuNHYXHp2traqK6uZv369Zw6dYrp06fzsY99jPx8Xcsgkq7iFRYT3P1QsMbiI2Ktqu5PCov4aW1tZdOmTWzcuJHW1lZCoRA33ngjo0ePTnZpIhJnfQ2LXq+GcvdDwcMM4JC7nwnefAhw+SVXKSkpJyeHG264gblz5/LGG2+wefNm6uvrqaioYNGiRYwYMSLZJYpIP+vrBHc1cF1wEyOCjQHfcPe5Ca6vz9SzSJwTJ07w2muvsXXrVsyMiooKFi5cqNAQSQNx6VlEt+sICoBgzUX2RVcnA8rw4cO57bbbuP7661m/fj1btmxh69atCg2RQaSvYdFsZsvdfS2Ama0A3k9cWZKKRo0axSc/+UkWLVr0O6FRXl7OwoULGTlyZLJLFJEE6esw1NXA/wUmEllnsR/4fXffndjy+k7DUP3v2LFjrF+/nnA4jJkpNEQGoISsszCzvOA1KbPbbAeFRfIcO3aM119/nZqaGoWGyAATr0tn73X3/2NmX+3ueXf/hxhFLAOeIHLzo6fc/Vtdnv8ykU0K24GTwEp3bzSzy4CngAoiQ2XPuPvf9fZZCovkiw4NgFAoxPXXX8+4ceOSXJmI9CReE9xDgz+HX0QBmcAq4GYi9+OuMrO1XW6P+qy7fzdovxz4B2AZcBeQ4+6zg3tnNJrZD91934XWIf1n1KhR3H777SxatIiNGzeyZcsWwuEwJSUlLFy4kAkTJiS7RBG5SLHC4urgz0Z3/9EFvvc8YLe77wUwszXACqAzLNz9eFT7Yfx2lbgDw4LdbYcAZ4HotpLCRo4cybJly1i0aBGbNm2iqqqKxsZGrrnmGhYuXMiVV3a7xlNEUlisXWc/EQwJPXoR711AZCK8Q1Nw7neY2cNmtgf4NvCV4PSPgQ+BQ8A7wN+7+9GLqEGSaNiwYSxdupQ//dM/ZcmSJRw8eJDvf//7PP300+zatUu73IoMILF6Fi8TuUR2mJlF/5e9Ae7uvV1g390Nn7vbX2oVsMrMPg98E7iPSK+kncjVV6OB9Wb2y45eSucHmK0EVgIUFhbG+CqSLLm5uSxatIj58+ezdetWNmzYwLPPPssVV1zBwoULmTFjBhkZfd0tX0SSIdYEd467t5rZ8+6+4oLe2GwB8Nfufmtw/ChATxPVwTboLe4+0sxWAZvc/X8Hz60GXnb353r6PE1wDxzt7e1s27aN119/nSNHjjBmzBgWLFhAaWkpl112WbLLExlU4nUP7o3BnxczX1AFFJtZUbDa+3PA2i5FFkcd3gbsCh6/AyyxiGHAfGDHRdQgKSgzM5OysjIeeughPvOZz5Cbm8uLL77Id77zHV599VVOnTqV7BJFpItYw1DZZnYfcJ2Z3dn1SXf/SU8vdPc2M3uEyI2SMoHV7t5gZo8B1cFq8EfM7CbgHNBCZAgKIldRPQ3UExnOetrd6y7wu0mKy8jIYObMmZSUlPD222+zYcMG1q1bxxtvvEFZWRkLFizQTrciKSLWMNRC4B7gs3TpFRCZs/hiAmu7IBqGSg/vvfceGzdupK6uDndnxowZXHfddRQUfOTaCBGJg7iu4DazB939X+JSWYIoLNLL8ePH2bx5M9XV1bS2tnLllVdy3XXXUVxcjFl3106IyMWI1wruP3f3bweP74pea2Fm/93d/yIu1caBwiI9tba2snXrVjZt2sTx48cZP348CxYsYPbs2WRl9XUfTBHpSbzCYqu7V3R93N1xsiks0lt7ezsNDQ1s2LCBw4cPk5eXR2VlJZWVlQwbNizZ5YkMWPHa7sN6eNzdsUjCZGZmEgqFmD17Nnv37mXTpk2sW7eO9evXEwqFmD9/vu4VLpJAscLCe3jc3bFIwpkZV199NVdffTXNzc28+eab1NbWUlNTw1VXXcX8+fO55pprNK8hEmexhqHaiWy7YUT2aOq4AN6AXHdPmRVUGoYavE6dOsWWLVuoqqrixIkTjB07lmuvvZbS0lKys3VDR5HeJOR+FqlMYSHt7e00NjayadMmDh48SG5uLnPmzGHevHm69atIDxQWMmi5O/v372fTpk3s2LEDM6OkpIT58+drvYZIF/Ga4BYZcMyMwsJCCgsLOXbsGG+++SY1NTXU19czadIk5s2bR0lJCZmZmckuVWTAUM9CBoXW1lZqamqoqqri6NGj5OXlMWfOHCorK8nLy0t2eSJJo2EokW64O7t372bz5s3s3r2bjIwMSkpKmDdvHpMmTdJVVDLoaBhKpBtmRnFxMcXFxRw5coSqqirC4TD19fVMmDCBefPmMWvWLK0OF+lCPQsZ9M6ePUttbS1VVVU0NzczdOhQKioqqKysZOTIkckuTyShNAwlcoHcnX379rF582Z27twJwPTp05k3bx5XXnmlhqgkLWkYSuQCmRlFRUUUFRVx7NgxqqqqqKmpYfv27eTn5zN37lxCoZAW+smglNCehZktA54gcvOjp9z9W12e/zLwMJH7bZ8EVrp7o5ndA/ynqKYhoMLdwz19lnoWkgjnzp2jvr6ezZs38+6775Kbm0tpaSmVlZWMGzcu2eWJXLKkD0OZWSbwFnAz0ETkNqt3u3tjVJsR7n48eLwceMjdl3V5n9nA8+5+VW+fp7CQROpY6Ld582a2b9/O+fPnKSoqorKykmnTpmnNhgxYqTAMNQ/Y7e57g4LWACuAzrDoCIrAMLrfnPBu4IcJrFMkpuiFfidPnqSmpoYtW7bwox/9iLy8PCoqKpgzZ462FZG0lciwKAD2Rx03Add2bWRmDwNfBbKBJd28z+8RCRmRlJCXl8eiRYu4/vrr2bVrF9XV1bz22musX7+eadOmUVlZyVVXXaUJcUkriQyL7v6f8pGeg7uvAlaZ2eeBbwL3db6B2bXAKXev7/YDzFYCKwEKCwvjUbNIn2VkZDBt2jSmTZtGS0sL1dXVhMNhduzYwZgxY6isrKSsrIwhQ4Yku1SRS5bIOYsFwF+7+63B8aMA7v53PbTPAFrcfWTUuceBZnf/77E+T3MWkgra2tpobGykurqa/fv3k5WVxcyZM6msrKSgoEC9DUk5qTBnUQUUm1kRcAD4HPD56AZmVuzuu4LD24BdUc9lAHcBixNYo0hcZWVlEQqFCIVCHD58mKqqKrZt20ZtbS0TJkygsrKSWbNm6fJbGXASfensJ4DvELl0drW7/62ZPQZUu/taM3sCuAk4B7QAj7h7Q/DaG4Fvufv8vnyWehaSqlpbW6mrq6O6upr33nuPnJyczstvx48fn+zyZJBL+qWz/U1hIamu4/Lb6upqGhsbaW9vp7CwkDlz5lBSUqL9qCQpFBYiKezDDz8kHA6zZcsWWlpaOhf7zZkzR70N6VcKC5EBoGM/qi1btnQu9uvobcyYMYPLLkuZ29xLmlJYiAwwHb2NrVu3cvToUfU2pF8oLEQGqI7extatW2lsbOzsbVRUVFBSUqLehsSVwkIkDXz44YfU1tayZcuW3+ltVFRUkJ+fn+zyJA0oLETSiLvz9ttvd85ttLe3M3ny5M4rqdTbkIulsBBJUx29ja1bt3LkyBFyc3MJhULMmTNHvQ25YAoLkTTXU2+jvLycmTNnapW49InCQmQQOXXqFOFwmJqaGt5//32ys7OZNWsWFRUVTJw4UXtSSY8UFiKDUMcq8ZqaGhoaGjh37hz5+fmUl5cTCoUYOnRoskuUFKOwEBnkWltbqa+vp6amhgMHDpCZmcn06dOpqKigqKhIvQ0BFBYiEuXw4cPU1NRQV1fH6dOnGTVqFGVlZZSVlTFy5MjYbyBpS2EhIh/R1tbGjh07qKmpYe/evZgZV199NeXl5bqX+CClsBCRXrW0tHROip84cYKhQ4dSWlpKeXm5thcZRBQWItIn58+fZ8+ePdTU1LBz507Onz+vS3AHEYWFiFywkydPUldX17ngT5fgpr+UCAszWwY8QeROeU+5+7e6PP9l4GGgHTgJrHT3xuC5EPA9YARwHpjr7md6+iyFhUj89HYJ7uzZsxk2bFiyS5Q4SXpYmFkm8BZwM9BE5J7cd3eEQdBmhLsfDx4vBx5y92VmlgVsBb7g7rVmNhY45u7tPX2ewkIkMTouwd26dSsHDx4kIyODqVOnUl5ezjXXXENGRkayS5RL0NewSOR9HOcBu919b1DQGmAF0BkWHUERGAZ0JNctQJ271wbtjiSwThHpRU5ODnPmzGHOnDm89957hMNh6urq2LFjB3l5eYRCIcrKyjQpnuYSGRYFwP6o4ybg2q6NzOxh4KtANrAkOD0VcDN7BRgPrHH3b3fz2pXASoDCwsK4Fi8iH5Wfn88tt9zC0qVL2bVrF+FwmI0bN7JhwwYKCgo6J8Vzc3OTXarEWSKHoe4CbnX3PwiOvwDMc/c/7qH954P295nZ14nMZcwFTgG/Ar7p7r/q6fM0DCWSHB2T4uFwmObmZrKyspgxYwbl5eVMmTJFk+IpLhWGoZqAyVHHk4CDvbRfA/xz1Gtfdff3AczsJaCCSGiISArJy8vjuuuuY8GCBRw8eJCamhrq6+vZtm0bo0aNorS0lLKyMkaNGpXsUuUSJLJnkUVkgnspcIDIBPfn3b0hqk2xu+8KHn8S+Ct3rzSz0USCYSFwFngZeNzdX+zp89SzEEkd586dY8eOHYTDYfbu3QtAUVERZWVlzJgxQzdrSiFJvxoqKOITwHeIXDq72t3/1sweA6rdfa2ZPQHcBJwDWoBHOsLEzO4FHiUy6f2Su/95b5+lsBBJTR988AHhcJja2lpaWlrIyclh5syZlJeXU1BQoGGqJEuJsOhPCguR1NZxs6ZwOExjYyPnzp1j3LhxlJWVEQqFGD58eLJLHJQUFiKSslpbW2loaCAcDrN//37MjOLiYsrKypg6dao2NOxHqTDBLSLSrZycHCoqKqioqOD999/vHKZ66623GDp0KLNnz6asrIwrrrgi2aUCqoWPAAAKuklEQVRKQD0LEUkJ3W1oePnll1NaWsrs2bPJy8tLdolpScNQIjJgnTp1ivr6emprazl48GDnMFVpaSlTp04lK0uDIvGisBCRtNDc3Ew4HGbbtm2cOHGC3NxcZs2aRVlZmXbCjQOFhYiklfPnz7N3715qa2vZsWMHbW1tjBs3jtLSUkKhECNGjEh2iQOSwkJE0taZM2doaGigtraW/fsjW9BdddVVlJaWatHfBVJYiMigcPToUWpra6mtreWDDz4gOzubmTNnUlpaSmFhoYapYlBYiMig4u7s27eP2trazkV/o0ePJhQKUVpayujRo5NdYkpSWIjIoHX27Fm2b99OOBxm3759AFx55ZWUlpZSUlJCTk5OcgtMIQoLERHg2LFj1NXVUVtby9GjR7nsssuYMWMGpaWlFBUVDfphKoWFiEgUd6epqYlwOExDQwOtra2MGDGi805/Y8eOTXaJSaGwEBHpwblz59i5cye1tbXs2bMHd2fSpEmUlpYyc+ZMhgwZkuwS+43CQkSkD06cONE5TNXc3ExmZiZTp04lFApRXFyc9psaKixERC6Au3Po0CFqa2upr6/n1KlTDBkyhFmzZlFaWpq2q8VTIizMbBnwBJGbHz3l7t/q8vyXidxrux04Cax090YzmwJsB3YGTTe5+5d7+yyFhYjES3t7O3v27KGuro4dO3bQ3t7O2LFjCYVChEKhtLpFbNLDwswyidxW9WYi99SuAu5298aoNiPc/XjweDnwkLsvC8LiBXef1dfPU1iISCKcOXOGxsZG6urqePvtt4HIZbihUIiSkhJyc3OTXOGlSYX7WcwDdrv73qCgNcAKoDMsOoIiMIzILVRFRFJGbm5u5703Oi7Draur46c//Sk/+9nPmDZtGqFQiKuvvjqt5zcSGRYFwP6o4ybg2q6NzOxh4KtANrAk6qkiM6sBjgPfdPf1CaxVRCSmUaNGsXjxYhYtWsTBgwc75zcaGhoYOnRo5/zGhAkT0m5+I5HDUHcBt7r7HwTHXwDmufsf99D+80H7+8wsB8hz9yNmNgf4d2Bml54IZrYSWAlQWFg4p6OLKCLSX9rb29m9e3fnnf7a29sZN25c5/zGyJEjk11ir1JhzmIB8Nfufmtw/CiAu/9dD+0zgBZ3/8j/sma2Dvi6u/c4KaE5CxFJttOnT9PY2Pg7u+FOmTKlczfcVNxmJBXCIovIBPdS4ACRCe7Pu3tDVJtid98VPP4k8FfuXmlm44Gj7t5uZlcB64HZ7n60p89TWIhIKmlpaelcv9HS0kJWVhbTp0+ntLSUq666ioyMjGSXCKTABLe7t5nZI8ArRC6dXe3uDWb2GFDt7muBR8zsJuAc0ALcF7x8MfCYmbURuaz2y70FhYhIqhk9ejQ33HADixcvpqmpibq6Ourr66mvr2fYsGHMnj2b0tJSLr/88gExv6FFeSIi/aStrY1du3ZRV1fHW2+9xfnz58nPzycUCjF79uyk3O0v6cNQ/U1hISIDyalTp2hoaKCuro6mpiYgcre/UCjEjBkzyM7O7pc6FBYiIgPEkSNHOtdvHDt2rHMb9dmzZyd8fkNhISIywLg7+/fv77zb35kzZ8jLy2PWrFmEQiGuuOKKuM9vKCxERAaw7uY3xo8fz+zZs5k9e3bc9qdSWIiIpInTp0/T0NDAtm3beOedd4D47U+lsBARSUMtLS1s27aNuro6jhw5QmZmJnPnzuXWW2+9qPdL+joLERGJv9GjR3fuT3Xo0CHq6ur6Zct0hYWIyABkZkycOJGJEyf2y+elxnpzERFJaQoLERGJSWEhIiIxKSxERCQmhYWIiMSksBARkZgUFiIiEpPCQkREYkqb7T7MrBl4+yJfPg54P47lDAT6zoODvvPgcCnf+Up3Hx+rUdqExaUws+q+7I2STvSdBwd958GhP76zhqFERCQmhYWIiMSksIh4MtkFJIG+8+Cg7zw4JPw7a85CRERiUs9CRERiGvRhYWbLzGynme02s28ku55EMLPJZvYbM9tuZg1m9ifB+TFm9gsz2xX8OTrZtcaTmWWaWY2ZvRAcF5nZm8H3/X9mlp3sGuPNzEaZ2Y/NbEfwey8YBL/znwX/Xteb2Q/NLDfdfmszW21m75lZfdS5bn9Xi/ifwd9pdWZWEY8aBnVYmFkmsAr4OFAC3G1mJcmtKiHagK+5+wxgPvBw8D2/AfzK3YuBXwXH6eRPgO1Rx/8DeDz4vi3Ag0mpKrGeAF529+lAKZHvn7a/s5kVAF8BKt19FpAJfI70+62/Dyzrcq6n3/XjQHHwz0rgn+NRwKAOC2AesNvd97r7WWANsCLJNcWdux9y963B4xNE/gIpIPJdfxA0+wFwR3IqjD8zmwTcBjwVHBuwBPhx0CStvi+AmY0AFgP/AuDuZ939GGn8OweygCFmlgUMBQ6RZr+1u78GHO1yuqffdQXwjEdsAkaZ2YRLrWGwh0UBsD/quCk4l7bMbApQDrwJXO7uhyASKEB+8iqLu+8Afw6cD47HAsfcvS04Tsff+iqgGXg6GH57ysyGkca/s7sfAP4eeIdISHwAbCH9f2vo+XdNyN9rgz0srJtzaXt5mJnlAf8K/Km7H092PYliZrcD77n7lujT3TRNt986C6gA/tndy4EPSaMhp+4E4/QrgCJgIjCMyDBMV+n2W/cmIf+uD/awaAImRx1PAg4mqZaEMrPLiATF/3X3nwSnD3d0T4M/30tWfXF2PbDczPYRGVpcQqSnMSoYqoD0/K2bgCZ3fzM4/jGR8EjX3xngJuA/3L3Z3c8BPwGuI/1/a+j5d03I32uDPSyqgOLgyolsIhNja5NcU9wF4/X/Amx393+IemotcF/w+D7g+f6uLRHc/VF3n+TuU4j8pr9293uA3wCfCZqlzfft4O7vAvvNbFpwainQSJr+zoF3gPlmNjT497zjO6f1bx3o6XddC/x+cFXUfOCDjuGqSzHoF+WZ2SeI/FdnJrDa3f82ySXFnZktBNYD2/jtGP5fEJm3eA4oJPJ/urvcvesk2oBmZjcCX3f3283sKiI9jTFADXCvu7cms754M7MyIpP62cBe4AEi/1GYtr+zmf1X4PeIXPVXA/wBkTH6tPmtzeyHwI1Edpc9DPwV8O9087sGofmPRK6eOgU84O7Vl1zDYA8LERGJbbAPQ4mISB8oLEREJCaFhYiIxKSwEBGRmBQWIiISk8JCRERiUliIxIGZnYx6PKFjW/Soc0+Y2QEzy4g6d3uwRkAk5SksROLvq8D/6jgIAuJTRDZ3WxzV7kUi25IM7d/yRC6cwkIk/j4NvBx1/DGgnsh9Be7uOOmRFbHrgNv7sziRi6GwEIkjMysCWrpsLXE38EPg34Dbg00dO1QDi/qxRJGLorAQia8JRO4pAUCwQeUngH8PtoV/E7glqv17RLbWFklpWbGbiMgFOA3kRh0vA0YC2yL7uzGUyOZuLwbP5wavEUlpCguR+HoLmBJ1fDfwB+7+Q4DgznX/YWZD3f0UMJXIfIZIStMwlEgcufuHwB4zuya4yulWftuL6Hj+deCTwamPRT8vkqq0RblInJnZp4A57v7NGO0uB55196X9U5nIxdMwlEicufu/mdnYPjQtBL6W6HpE4kE9CxERiUlzFiIiEpPCQkREYlJYiIhITAoLERGJSWEhIiIx/X/S0B44dBe+XgAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_func(data[\"I\"],data[\"PH2O\"],\"I(A)\",\"PH2O(atm)\",\"pink\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "HTML File" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "OPEM File" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "CSV File" + ] + }, { "cell_type": "markdown", "metadata": {}, From 517294efddfa268b571324dce49b55ae0e1caf2e Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Wed, 13 Feb 2019 18:28:20 +0330 Subject: [PATCH 075/204] doc : Padulles-I links added #92 --- Documents/Padulles1.ipynb | 21 +++++++++++++++++++++ Documents/Padulles2.ipynb | 2 +- 2 files changed, 22 insertions(+), 1 deletion(-) diff --git a/Documents/Padulles1.ipynb b/Documents/Padulles1.ipynb index b8f89de4..8f72c6db 100644 --- a/Documents/Padulles1.ipynb +++ b/Documents/Padulles1.ipynb @@ -1082,6 +1082,27 @@ "plot_func(data[\"I\"],data[\"PH2\"],\"I(A)\",\"PH2(atm)\",\"violet\")" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "HTML File" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "OPEM File" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "CSV File" + ] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/Documents/Padulles2.ipynb b/Documents/Padulles2.ipynb index 3d5a12b7..9b044c4a 100644 --- a/Documents/Padulles2.ipynb +++ b/Documents/Padulles2.ipynb @@ -284,7 +284,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Power Of PEMFC" + "## Power of PEMFC" ] }, { From a949e7e14f8df3bd64cca0ef8abc28897adc714d Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Wed, 13 Feb 2019 18:34:52 +0330 Subject: [PATCH 076/204] doc : Padulles-Amphlett notebook plots added #92 --- .../Padulles_Amphlett_Test.csv | 750 + .../Padulles_Amphlett_Test.html | 811 ++ .../Padulles_Amphlett_Test.opem | 11273 ++++++++++++++++ Documents/Padulles_Amphlett.ipynb | 793 +- 4 files changed, 13078 insertions(+), 549 deletions(-) create mode 100644 Documents/Padulles-Amphlett/Padulles_Amphlett_Test.csv create mode 100644 Documents/Padulles-Amphlett/Padulles_Amphlett_Test.html create mode 100644 Documents/Padulles-Amphlett/Padulles_Amphlett_Test.opem diff --git a/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.csv b/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.csv new file mode 100644 index 00000000..135c8aee --- /dev/null +++ b/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.csv @@ -0,0 +1,750 @@ +I (A),E (V),Eta Activation (V),Eta Concentration (V),Eta Ohmic (V),FC Efficiency (),FC Power (W),FC Voltage (V),Loss (V),PH2 (atm),PH2O (atm),PO2 (atm),Power-Thermal (W) 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+74.9,6.067247139594956,0.6253584347437059,0.06927066695042548,0.20594867257133906,0.20055875234200052,117.17043429324355,1.564358268267604,0.9005777742654705,0.18666105688523943,0.22974755205694192,0.18469260566596615,343.4645657067565 diff --git a/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.html b/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.html new file mode 100644 index 00000000..dd1cefb3 --- /dev/null +++ b/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.html @@ -0,0 +1,811 @@ + + +Padulles_Amphlett_Test + + + +

OPEM Report (Padulles-Amphlett Model)

+

What is Padulles-Amphlett ?

+

+This model is an integration of Padulles-Hauer dynamic model with Amphlett static model. The advantage of this dynamic +model is using Amphlett equation for simulating the polarization values. Amphlett model as the most complicated and +preferable static model, but the most precise. Based on this model, the obtained polarization voltage is identical to +the experimental results. +

+

Inputs

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+Input + +Description + +Value +
+A + +active area [cm^2] + +50.6 +
+B + +An empirical constant depending on the cell and its operation state (Tafel Slope) [V] + +0.016 +
+CV + +Conversion factor + +2 +
+E0 + +Opencell voltage [V], Default Value:1.229 + +1.229 +
+JMax + +maximum current density [A/(cm^2)] + +1.5 +
+KH2 + +Hydrogen Valve Constant [kmol.s^(-1).atm^(-1)] + +4.22e-05 +
+KH2O + +Water Valve Constant [kmol.s^(-1).atm^(-1)] + +7.716e-06 +
+KO2 + +Oxygen Valve Constant [kmol.s^(-1).atm^(-1)] + +2.11e-05 +
+N0 + +Number of fuel cells in the stack + +5 +
+R + +R-Electronic [ohm] (*Optional) + +0 +
+T + +Cell Operation Temperature [K] + +343 +
+i-start + +Cell operating current start point [A] + +0.1 +
+i-step + +Cell operating current step + +0.1 +
+i-stop + +Cell operating current end point [A] + +75 +
+l + +Membrane Thickness [cm] + +0.0178 +
+lambda + +is an adjustable parameter with a min value of 14 and max value of 23 + +23 +
+qMethanol + +Methanol flow rate [kmol.s^(-1)] + +0.0002 +
+rho + +Hydrogen-Oxygen flow rate + +1.168 +
+t1 + +Reformer time constant [s] + +2 +
+t2 + +Reformer time constant [s] + +2 +
+tH2 + +Hydrogen time constant [s] + +3.37 +
+tH2O + +Water time constant [s] + +18.418 +
+tO2 + +Oxygen time constant [s] + +6.74 +
+

Overall Parameters

+ + + + + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+Efficiency|Pmax + +Cell efficiency at maximum power + +0.26086641725522863 +
+Pmax + +Maximum power [W] + +131.03841871564646 +
+Ptotal(Elec) + +Total electrical power [W] + +207.12762088811104 +
+Ptotal(Thermal) + +Total thermal power [W] + +252.8923791118888 +
+VFC|Pmax + +Cell voltage at maximum power [V] + +2.0347580545907835 +
+

Graphs

+ +
+ +
+ + +
+ +
+ + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+K + +Slope of the curve obtained by linear approximation [A^(-1)] + +-0.02948220388238217 +
+Pmax(L-Approx) + +Maximum power obtained by linear approximation [W] + +127.35934283349675 +
+V0 + +Intercept of the curve obtained by linear approximation [V] + +3.8754788667948428 +
+VFC|Pmax(L-Approx) + +Cell voltage at maximum power obtained by linear approximation [V] + +1.9377394333974214 +
+ +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ +

Generated By OPEM Version 0.9

+ + \ No newline at end of file diff --git a/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.opem b/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.opem new file mode 100644 index 00000000..3520064e --- /dev/null +++ b/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.opem @@ -0,0 +1,11273 @@ + ___ + / _ \ _ __ ___ _ __ ___ +| | | || '_ \ / _ \| '_ ` _ \ +| |_| || |_) || __/| | | | | | + \___/ | .__/ \___||_| |_| |_| + |_| +Simulation Date : 2019-02-13 18:34:11.130009 +********** +Padulles-Amphlett Model + +********** +Simulation Inputs : + +A : 50.6 +B : 0.016 +CV : 2 +E0 : 1.229 +JMax : 1.5 +KH2 : 4.22e-05 +KH2O : 7.716e-06 +KO2 : 2.11e-05 +N0 : 5 +Name : Padulles_Amphlett_Test +R : 0 +T : 343 +i-start : 0.1 +i-step : 0.1 +i-stop : 75 +l : 0.0178 +lambda : 23 +qMethanol : 0.0002 +rho : 1.168 +t1 : 2 +t2 : 2 +tH2 : 3.37 +tH2O : 18.418 +tO2 : 6.74 +********** +I :0.1 A + +E : 6.0684154992732005 V +Eta Activation : 0.18557231242539243 V +Eta Concentration : 2.109426805213159e-05 V +Eta Ohmic : 0.00017548304819292376 V +FC Efficiency : 0.6589193654570529 +FC Power : 0.5139571050565013 W +FC Voltage : 5.139571050565013 V +Loss : 0.1857688897416375 V +PH2 : 0.19717074233280188 atm +PH2O : 0.2426831613626925 atm +PO2 : 0.1906263686382979 atm +Power-Thermal : 0.10104289494349877 W +########### +I :0.2 A + +E : 6.068413961701556 V +Eta Activation : 0.23146009851376736 V +Eta Concentration : 4.221638333089875e-05 V +Eta Ohmic : 0.0003510800160998837 V +FC Efficiency : 0.629377818863534 +FC Power : 0.9818293974271133 W +FC Voltage : 4.909146987135566 V +Loss : 0.23185339491319815 V +PH2 : 0.1971566919511875 atm +PH2O : 0.24266586776736396 atm +PO2 : 0.1906184358000996 atm +Power-Thermal : 0.2481706025728869 W +########### +I :0.3 A + +E : 6.068412424065923 V +Eta Activation : 0.2583036192079603 V +Eta Concentration : 6.336641945755048e-05 V +Eta Ohmic : 0.0005267910327125488 V +FC Efficiency : 0.6120440436878553 +FC Power : 1.4321830622295815 W +FC Voltage : 4.773943540765272 V +Loss : 0.25889377666013036 V +PH2 : 0.19714264156957312 atm +PH2O : 0.24264857417203542 atm +PO2 : 0.1906105029619013 atm +Power-Thermal : 0.41281693777041856 W +########### +I :0.4 A + +E : 6.068410886366294 V +Eta Activation : 0.27735002084480426 V +Eta Concentration : 8.454445034568427e-05 V +Eta Ohmic : 0.0007026162388380664 V +FC Efficiency : 0.5997083306020967 +FC Power : 1.871089991478542 W +FC Voltage : 4.677724978696355 V +Loss : 0.278137181533988 V +PH2 : 0.19712859118795872 atm +PH2O : 0.24263128057670688 atm +PO2 : 0.19060257012370302 atm +Power-Thermal : 0.5889100085214584 W +########### +I :0.5 A + +E : 6.068409348602667 V +Eta Activation : 0.2921240370409447 V +Eta Concentration : 0.00010575055020278165 V +Eta Ohmic : 0.0008785557847524419 V +FC Efficiency : 0.5901112348363035 +FC Power : 2.3014338158615835 W +FC Voltage : 4.602867631723167 V +Loss : 0.2931083433758999 V +PH2 : 0.19711454080634436 atm +PH2O : 0.24261398698137834 atm +PO2 : 0.1905946372855047 atm +Power-Thermal : 0.7735661841384167 W +########### +I :0.6 A + +E : 6.0684078107750326 V +Eta Activation : 0.3041956781419353 V +Eta Concentration : 0.00012698479353178086 V +Eta Ohmic : 0.0010546098289093816 V +FC Efficiency : 0.582246339352968 +FC Power : 2.72491286817189 W +FC Voltage : 4.54152144695315 V +Loss : 0.3053772727643765 V +PH2 : 0.19710049042472996 atm +PH2O : 0.2425966933860498 atm +PO2 : 0.1905867044473064 atm +Power-Thermal : 0.9650871318281099 W +########### +I :0.7 A + +E : 6.068406272883388 V +Eta Activation : 0.31440243547871893 V +Eta Concentration : 0.000148247255132642 V +Eta Ohmic : 0.0012307785370829418 V +FC Efficiency : 0.5755767905806046 +FC Power : 3.142649276570101 W +FC Voltage : 4.489498966528716 V +Loss : 0.3157814612709345 V +PH2 : 0.19708644004311557 atm +PH2O : 0.24257939979072127 atm +PO2 : 0.19057877160910808 atm +Power-Thermal : 1.162350723429899 W +########### +I :0.8 A + +E : 6.068404734927729 V +Eta Activation : 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0.22974755205694192 atm +PO2 : 0.18469260566596615 atm +Power-Thermal : 343.4645657067565 W +########### diff --git a/Documents/Padulles_Amphlett.ipynb b/Documents/Padulles_Amphlett.ipynb index 13a4ea06..debda048 100644 --- a/Documents/Padulles_Amphlett.ipynb +++ b/Documents/Padulles_Amphlett.ipynb @@ -535,7 +535,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Power Of PEMFC" + "## Power of PEMFC" ] }, { @@ -1115,7 +1115,7 @@ ], "source": [ "from opem.Dynamic.Padulles_Amphlett import Dynamic_Analysis\n", - "Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + "Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False)" ] }, { @@ -1138,558 +1138,12 @@ "Padulles-Amphlett-Model Simulation\n", "###########\n", "Analyzing . . .\n", - "I : 0.1\n", - "E : 6.0684154992732005 V\n", - "Eta Activation : 0.18557231242539243 V\n", - "Eta Concentration : 2.109426805213159e-05 V\n", - "Eta Ohmic : 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Activation : 0.41506683170178466 V\n", - "Eta Concentration : 0.0006892047977937692 V\n", - "Eta Ohmic : 0.005672855976278701 V\n", - "FC Efficiency : 0.5078491464607577 \n", - "FC Power : 12.675914695660513 W\n", - "FC Voltage : 3.96122334239391 V\n", - "Loss : 0.42142889247585713 V\n", - "PH2 : 0.19673518050275585 atm\n", - "PH2O : 0.24214705990750765 atm\n", - "PO2 : 0.19038045065415046 atm\n", - "Power-Thermal : 7.0040853043394895 W\n", - "###########\n", - "I : 3.3\n", - "E : 6.0683662652154 V\n", - "Eta Activation : 0.417106024344736 V\n", - "Eta Concentration : 0.0007112282011333409 V\n", - "Eta Ohmic : 0.005852080755831333 V\n", - "FC Efficiency : 0.5064127690649867 \n", - "FC Power : 13.035064675732759 W\n", - "FC Voltage : 3.9500195987068967 V\n", - "Loss : 0.42366933330170065 V\n", - "PH2 : 0.19672113012114145 atm\n", - "PH2O : 0.2421297663121791 atm\n", - "PO2 : 0.19037251781595219 atm\n", - "Power-Thermal : 7.259935324267242 W\n", - "###########\n", - "I : 3.4\n", - "E : 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"###########\n", - "I : 3.6\n", - "E : 6.068361646157063 V\n", - "Eta Activation : 0.4228725100457559 V\n", - "Eta Concentration : 0.000777480883789843 V\n", - "Eta Ohmic : 0.006390481776561363 V\n", - "FC Efficiency : 0.5023281131572472 \n", - "FC Power : 14.105373417455501 W\n", - "FC Voltage : 3.918159282626528 V\n", - "Loss : 0.43004047270610707 V\n", - "PH2 : 0.1966789789762983 atm\n", - "PH2O : 0.2420778855261935 atm\n", - "PO2 : 0.19034871930135727 atm\n", - "Power-Thermal : 8.034626582544501 W\n", - "###########\n", - "I : 3.7\n", - "E : 6.068360106342617 V\n", - "Eta Activation : 0.4246884348310017 V\n", - "Eta Concentration : 0.0007996262160448594 V\n", - "Eta Ohmic : 0.00657019196303564 V\n", - "FC Efficiency : 0.501034466832334 \n", - "FC Power : 14.459854712781162 W\n", - "FC Voltage : 3.9080688412922058 V\n", - "Loss : 0.4320582530100822 V\n", - "PH2 : 0.1966649285946839 atm\n", - "PH2O : 0.24206059193086493 atm\n", - "PO2 : 0.19034078646315894 atm\n", - "Power-Thermal : 8.29514528721884 W\n", - "###########\n", - "I : 3.8\n", - "E : 6.068358566463993 V\n", - "Eta Activation : 0.4264559863331208 V\n", - "Eta Concentration : 0.0008218022417708932 V\n", - "Eta Ohmic : 0.006750024222922298 V\n", - "FC Efficiency : 0.4997717310865285 \n", - "FC Power : 14.813234109404705 W\n", - "FC Voltage : 3.8982195024749227 V\n", - "Loss : 0.43402781279781405 V\n", - "PH2 : 0.19665087821306954 atm\n", - "PH2O : 0.2420432983355364 atm\n", - "PO2 : 0.19033285362496066 atm\n", - "Power-Thermal : 8.556765890595296 W\n", - "###########\n", - "I : 3.9\n", - "E : 6.068357026521189 V\n", - "Eta Activation : 0.42817767789163225 V\n", - "Eta Concentration : 0.0008440090461684635 V\n", - "Eta Ohmic : 0.006929978850845375 V\n", - "FC Efficiency : 0.49853829456127663 \n", - "FC Power : 15.165534920554036 W\n", - "FC Voltage : 3.888598697577958 V\n", - "Loss : 0.4359516657886461 V\n", - "PH2 : 0.19663682783145514 atm\n", - "PH2O : 0.24202600474020786 atm\n", - "PO2 : 0.19032492078676233 atm\n", - "Power-Thermal : 8.819465079445965 W\n", - "###########\n", "Done!\n" ] } ], "source": [ - "Data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=True)" + "Data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=False)" ] }, { @@ -1720,6 +1174,247 @@ "Dynamic_Analysis(InputMethod={},TestMode=True,PrintMode=False,ReportMode=True)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" + ] + } + ], + "source": [ + "import sys\n", + "!{sys.executable} -m pip install matplotlib;\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_func(x,y,x_label,y_label,color='green'):\n", + " plt.figure()\n", + " plt.plot(x,y,color=color)\n", + " plt.xlabel(x_label)\n", + " plt.ylabel(y_label)\n", + " plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "Test_Vector = {\n", + " \"A\": 50.6,\n", + " \"l\": 0.0178,\n", + " \"lambda\": 23,\n", + " \"JMax\": 1.5,\n", + " \"T\": 343,\n", + " \"N0\": 5,\n", + " \"KO2\": 0.0000211,\n", + " \"KH2\": 0.0000422,\n", + " \"KH2O\": 0.000007716,\n", + " \"tH2\": 3.37,\n", + " \"tO2\": 6.74,\n", + " \"t1\": 2,\n", + " \"t2\": 2,\n", + " \"tH2O\": 18.418,\n", + " \"B\": 0.016,\n", + " \"rho\": 1.168,\n", + " \"qMethanol\": 0.0002,\n", + " \"CV\": 2,\n", + " \"i-start\": 0.1,\n", + " \"i-stop\": 75,\n", + " \"i-step\": 0.1,\n", + " \"Name\": \"Padulles_Amphlett_Test\"}\n", + "data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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5IDO7BVgMjASmAD3c/Rh3v78QBUqG2rWDY46Bxx+PvZYuvDDWOQwbFjOazj8fZjV6vpKItCCNzT56ArgTmOjuHxSsqgao+yhjX30V5zncdtvqFkPfvrHVxvHHQ1lZ1hWKSD2aa+vsA9z9xrwEguRAmzZw6KExc2nJkpjW2qoVnHdejDcccURMc/3yy6wrFZF10ORdUkW+ZqutYm1DZSXMnh3B8NxzEQydO8OoUfDCC9pWQ6QFUShI8+jdO1ZNL1oUx4cOHAjXXx+HAO24I1x6aYxLiEiuKRSkebVuHSfCjR8P77wDN98c22lcdlksjPv3f4error3RCR3UgsFMys1s+fN7GUze8XMfl7PPe3MbLyZzTez6clWGrKh6NAhznZ4/PFoQfzmN7EQ7gc/iO6lgw6KAeuPP866UhFJpNlS+AIY6O67A32AwWbWv849pwEfuvsOwO+AK1KsR7LUuXNMYZ0xA+bOhR//GN58MxbEbbNNrJ6+7z6dGCeSsdRCwcOnycs2yaPuiONhwO3J8wnAIDPtxrbB22mn6E6aPz/WPYwcGRv0HXlkBMTJJ8OUKZrBJJKBVMcUzKzEzGYCy4BH3X16nVs6A4sA3H0F8DHQMc2aJEfMoH9/+P3vY3rr1Kmrp7Qecghsu21sr/HII1pBLVIgqYaCu6909z5AF6CfmfWuc0t9rYKvzV80s5FmVmlmlVVVVWmUKllr3RoGD4Zbb4V334VJkyIY7rkH/uM/oFMnOOMMmDYNVq7MulqRDVZBZh+5+0fAk8R5z7UtBroCmFlrYHNiN9a6f/4Gd69w94oyrZjd8LVrFwvk7rgjtvC+774YlB43DgYNikVyZ58dXU4KCJFmlebsozIz65A83wg4EJhX57ZJwEnJ8xHANF/bbVtlw1ZaGpvw3XVXBMQ998CAAdGi2H//mO46ahT85S/a4lukGaz11tlN/mCz3YhB5BIifO5298vM7DKg0t0nmVkpcAfQl2ghHOvubzb0udr7SAD49FOYPDnWQ0ydGrOWunSB4cNhxIg4i7qVluGIVGvq3kephUJaFAryNZ98EmMQd98dg9JffBGD1EceGSExYECMWYgUsWY9T0Ek1zbbDE44IYKhqiq6mvbZJ7qYBg2KQervfS92d9U0V5EGqaUgG67PPosgmDAhupo+/TRWWR92WLQgDjooxixEioC6j0Rq++c/o2tp4kR44IHYWmPTTWHo0BiDGDwYNt446ypFUqPuI5HaSkvjxLjbb49ZTFOnwtFHR1AMHx6HAx11VBw/+o9/ZF2tSGbUUpDitmJFrHeYOBHuvTcWzrVrFwvmRoyI9RIdOmRdpch6U/eRyNpauRKefTbGICZOhLffjpPmBg2K1sThh8fBQiItkEJBZH2sWgXPP786IBYsiHUP++8fAXHEETGrSaSFUCiINBd3eOmlCIeJE+HVV2Mzv733joA48kj4xjeyrlKkQQoFkTS4w9/+tjogZs2K6xUVERDDh0PPntnWKFIPhYJIIbz+egxQT5wIL7wQ13bbbXVA7LJLtCpEMqZQECm0hQtXB8Szz0arYscdVwdE374KCMmMQkEkS0uXxpbfEyfCk0/GwHX37qv3Y/rmN7VhnxSUQkEkL957L1ZRT5wIjz0Wp8h17rw6IPbdF0pKsq5SNnAKBZE8+uij2IdpwgR4+OHYfmPrrWMNxPDhcMABsTZCpJkpFETy7tNPYcqUaEE89FBs4LfFFrEdhzbsk2amUBBpSZYvX71h36RJqzfsO+SQ1Rv2tW+fdZXSgikURFqqL7+EadMiIO6/P8YkNtoIhgyJFsTQoXGGhMhaUCiIbAhWrIBnnlm9Yd/SpdC2bXQtDR8eXU0dO2ZdpbQACgWRDc2qVfDcc6tXUy9cGLOWDjhg9X5M22yTdZWSU5mfp2BmXc3sCTOba2avmNmoeu7Z38w+NrOZyeOStOoRafFatYr9ln7zG3jrrVhB/V//FeFw1lmxQd+3vgW//z0sXpx1tdJCpdZSMLNOQCd3f9HMNgVmAIe7+99q3bM/cKG7D23q56qlIFKHO8yZs7oFMWdOXP/mN1evpt5++2xrlMxl3lJw96Xu/mLy/B/AXKBzWt8nUrTMYNdd4dJLYfbs2MX18stjPOKii6BHj9hiY8wYmDs362ol5woypmBm5cDTQG93/6TW9f2BicBiYAnRanilnj8/EhgJ0K1btz0XLlyYes0iG4QFC/51PyaAnXeO1sOIEbF5n/ZjKgq5GWg2s02Ap4BfuPu9dd7bDFjl7p+a2cHA1e7e4L7D6j4SWUdvv716P6ann46B6x13hGOPhWOOibCQDVYuQsHM2gCTgYfd/bdNuH8BUOHu763pHoWCSDNYtiwCYvz42LDPPVoNxxwTjx49sq5QmlnmYwpmZsDNwNw1BYKZbZvch5n1S+p5P62aRCSx9dZwxhmxSO7tt2PG0qabwo9/DDvsEIcGXXkl/P3vWVcqBZbm7KN9gWeA2cCq5PKPgG4A7j7WzM4BzgJWAMuB89392YY+Vy0FkRQtWgR33x0tiOpDg/baK7qYjjpK51K3YLnoPkqDQkGkQN54Y3VAvPxyDEgPGBABMXw4lJVlXaGshcy7j0SkhevRA0aPhpkzYyrrz34WYxHVC+W+/W24+Wb48MOsK5VmpFAQkcbttFOEwiuvwKxZcPHF8OabcPrpsO22scXGhAlxPoS0aAoFEWm66oVyY8bA669DZSWccw5Mnx5jDttsA6edFgPYK1dmXa2sA4WCiKwbM9hzz9iLadEiePTROGL0nntg0CDo1g0uvDC6n1rY2GUxUyiIyPorKYEDD4Rbb4V3340B6oqKmOraty/07h1bbyxYkHWl0giFgog0r402iq6kBx6I8x/GjoUtt4w1EN27w377xbX3tSQpjxQKIpKejh1jkdwzz8R235dfDh98sHoG02GHxcrqL7/MulJJKBREpDDKy2OK65w58NJLMGpULJA78kjYbrt4/dJLGn/ImEJBRArLDPr0gV//OrbRmDIlBqbHjoU99oj3fve7WBMhBadQEJHstG4NQ4bEqumlS+EPf4DSUjj/fOjcOc6gvvdedS8VkEJBRPJhyy1jrGH69Fgkd/75sQ5i+PDoXjr3XHjxRXUvpUyhICL5s8sucMUV/9q9dP31sS5i993hmmu0vUZKFAoikl+1u5feeSe6l9q2jVbDdtvBiSfGzCa1HpqNQkFEWoYttojupcrK6EY65ZRYCzFgQLQsfvMbqKrKusoWT6EgIi1P377Rali6FG65JQLjwgtjcPqYY+Cxx+K4UVlrCgURabnat48Ww7PPwuzZ8P3vxx5MBx0EPXvCL38Z225IkykURGTD0Ls3XHUVLFkC48bFhnw/+hF07QonnAB//avGHppAoSAiG5bSUjj+eHjiCZg3L8YhHnwQ9t47Zi/dcgt8/nnWVeZWaqFgZl3N7Akzm2tmr5jZqHruMTP7vZnNN7NZZrZHWvWISBHacUe4+mp4+2247jr46qs476FLlxiDeOONrCvMnTRbCiuAC9x9Z6A/cLaZ7VLnniFAz+QxErguxXpEpFhtsgmceWacGvfUU7HN99VXx7jDIYfA1KkamE6kFgruvtTdX0ye/wOYC3Suc9thwB89PAd0MLNOadUkIkXOLKaw3n03LFwIl1wS01sPPjjGJG68EZYvz7rKTBVkTMHMyoG+wPQ6b3UGFtV6vZivB4eISPPbbju49NIIh3Hj4hyIkSPhG9+I60W6IV/qoWBmmwATgfPc/ZO6b9fzR742PcDMRppZpZlVVmlxiog0p7ZtY2C6shKefBL694ef/zxmL51+euzDVERSDQUza0MEwjh3v7eeWxYDXWu97gIsqXuTu9/g7hXuXlFWVpZOsSJS3MzgW9+CSZNi1tIpp8Cdd0a30pAhMG1aUUxpTXP2kQE3A3Pd/bdruG0S8N1kFlJ/4GN3X5pWTSIiTbLjjjFb6e9/hzFj4vCfQYNiWuvkyRt0OKTZUtgHOBEYaGYzk8fBZnammZ2Z3DMFeBOYD9wIfD/FekRE1s5WW8XZ0gsWrN5W49BDY5uNu++GlSuzrrDZmbewxKuoqPDKysqsyxCRYvTVV9Gl9MtfwquvQq9ecPHFsWK6TZusq2uQmc1w94rG7tOKZhGRpmrTBk46KQaf77kHNt4YTj01wuG222DFiqwrXG8KBRGRtVVSAiNGxBqHhx6Cjh1jYLp37+hWasEL4RQKIiLryiwWvr3wQpwlXVISW3fvuWeERQvrngeFgojI+jODI46IbTTuuAM++QSGDoV9940zp1sQhYKISHMpKYlB53nzYOxYePPNWAx34omweHHW1TWJQkFEpLm1aQNnnAGvvQajR8egdK9esVI659t2KxRERNKy6aZw+eXRcjj00NhTaaedYgFcTikURETSVl4O48fD00/DZptFQBx9dCyGyxmFgohIoey3X0xjHTMm9ljaeWe44YZczVJSKIiIFFLbtrF1xuzZsMceMfYwbFhutupWKIiIZKFnT3jssTgB7tFHYddd4wS4jCkURESy0qoVnHtuLH7bZptYCPfTn2a6IlqhICKStV13heefj32UxoyBww+PBXAZUCiIiORBaSncdBNccw1MmRKD0u++W/AyFAoiInlhBuecE6Ewf35sk7FwYUFLUCiIiOTNt78dg9DvvQcDB8I77xTsqxUKIiJ5tNde8PDDEQgHHwz/+EdBvlahICKSV/36wYQJsfvq975XkEVuCgURkTwbMgT++79jm4zrr0/961ILBTO7xcyWmdmcNby/v5l9bGYzk8cladUiItKi/fCHcNxxsO22qX9V6xQ/+zbgWuCPDdzzjLsPTbEGEZGWr1UruPPOwnxVWh/s7k8DH6T1+SIi0vyyHlPYy8xeNrOpZvZva7rJzEaaWaWZVVZVVRWyPhGRopJlKLwIfMPddweuAe5f043ufoO7V7h7RVlZWcEKFBEpNpmFgrt/4u6fJs+nAG3MbKus6hERkQxDwcy2NTNLnvdLank/q3pERCTF2UdmdhewP7CVmS0Gfga0AXD3scAI4CwzWwEsB451z9HxQyIiRSi1UHD34xp5/1piyqqIiORE1rOPREQkR6yl9diYWRWwrnvJbgW814zlpCHvNea9PlCNzSHv9YFqXFvfcPdGp2+2uFBYH2ZW6e4VWdfRkLzXmPf6QDU2h7zXB6oxLeo+EhGRGgoFERGpUWyhcEPWBTRB3mvMe32gGptD3usD1ZiKohpTEBGRhhVbS0FERBpQNKFgZoPN7FUzm29mF2ddD9R/EJGZbWlmj5rZ68nPLTKsr6uZPWFmc83sFTMblcMaS83s+WS33VfM7OfJ9e5mNj2pcbyZtc2qxqSeEjN7ycwm57S+BWY2OznwqjK5lpvfc1JPBzObYGbzkn8n98pLjWa2Y60Dw2aa2Sdmdl5e6lsbRREKZlYC/D9gCLALcJyZ7ZJtVUAcRDS4zrWLgcfdvSfwePI6KyuAC9x9Z6A/cHbyzy1PNX4BDEx22+0DDDaz/sAVwO+SGj8ETsuwRoBRwNxar/NWH8AB7t6n1hTKPP2eAa4G/uzuOwG7E/88c1Gju7+a/LPrA+wJfA7cl5f61oq7b/APYC/g4VqvRwOjs64rqaUcmFPr9atAp+R5J+DVrGusVdsDwEF5rRHYmNiS/ZvEgqHW9f3+M6irC/EfhIHAZMDyVF9SwwJgqzrXcvN7BjYD3iIZB81jjbVq+jbwl7zW19ijKFoKQGdgUa3Xi5NrebSNuy8FSH5unXE9AJhZOdAXmE7Oaky6ZmYCy4BHgTeAj9x9RXJL1r/vq4CLgFXJ647kqz4ABx4xsxlmNjK5lqff8/ZAFXBr0g13k5m1z1mN1Y4F7kqe57G+BhVLKFg91zTtqonMbBNgInCeu3+SdT11uftKj2Z7F6AfsHN9txW2qmBmQ4Fl7j6j9uV6bs3638d93H0Poov1bDMbkHE9dbUG9gCuc/e+wGfksCsmGRsaBtyTdS3rqlhCYTHQtdbrLsCSjGppzLtm1gkg+bksy2LMrA0RCOPc/d7kcq5qrObuHwFPEuMfHcysehfgLH/f+wDDzGwB8CeiC+kq8lMfAO6+JPm5jOgL70e+fs+LgcXuPj3eN4oMAAACh0lEQVR5PYEIiTzVCBGqL7r7u8nrvNXXqGIJhReAnsmMj7ZE825SxjWtySTgpOT5SUQ/fiaSQ5BuBua6+29rvZWnGsvMrEPyfCPgQGIA8gnizA7IsEZ3H+3uXdy9nPj3bpq7fycv9QGYWXsz27T6OdEnPocc/Z7d/R1gkZntmFwaBPyNHNWYOI7VXUeQv/oal/WgRqEewMHAa0R/84+zriep6S5gKfAV8Teh04j+5seB15OfW2ZY375Et8YsYGbyODhnNe4GvJTUOAe4JLm+PfA8MJ9oyrfLwe97f2By3upLank5ebxS/f+PPP2ek3r6AJXJ7/p+YIs81UhMdHgf2LzWtdzU19SHVjSLiEiNYuk+EhGRJlAoiIhIDYWCiIjUUCiIiEgNhYKIiNRQKIiISA2FgshaMLNPaz3vVL0Vdq1rV5vZ22bWqta1odVbeovknUJBZN2dD9xY/SIJgiOIzRdr7x30ELHVxcaFLU9k7SkURNbdcODPtV4fQKyqvo7Y7gAAjxWiTwJDC1mcyLpQKIisAzPrDnzo7l/Uuly97819wNBkM8FqlcB+BSxRZJ0oFETWTSdif3+gZsvkg4H7PbYXn05sLFdtGbBdQSsUWQetG79FROqxHCit9XowsDkwOzaXZWPiSMaHkvdLkz8jkmsKBZF18xpxlGq144DT3f0uqNmC+i0z29jdPwd6EeMNIrmm7iORdeDunwFvmNkOyayi/2B1q6D6/f8DDk0uHVD7fZG80tbZIuvIzI4A9nT3nzRy3zbAne4+qDCViaw7dR+JrCN3v8/MOjbh1m7ABWnXI9Ic1FIQEZEaGlMQEZEaCgUREamhUBARkRoKBRERqaFQEBGRGv8fVTmly6UWSmgAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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+99.9,2.9218482598315436,0.3339116037981434,260.19059991158935,2.6045105096255186,0.18314846148164232,0.22542415322480602,0.18270939611639,354.19440008841076 diff --git a/Documents/Padulles-Hauer/Padulles_Hauer_Test.html b/Documents/Padulles-Hauer/Padulles_Hauer_Test.html new file mode 100644 index 00000000..5faa6d7a --- /dev/null +++ b/Documents/Padulles-Hauer/Padulles_Hauer_Test.html @@ -0,0 +1,718 @@ + + +Padulles_Hauer_Test + + + +

OPEM Report (Padulles-Hauer Model)

+

What is Padulles-Hauer ?

+

+Padulles-Hauer Dynamic Model is a dynamic electrochemical simulation model of a grid independent proton exchange +membrane (PEM) fuel cell. This model includes a methanol reformer to generate hydrogen from methanol and the PEM stack. +The model is used to predict the output voltage and power of a PEMFC. It has to be noted that the reformer model is a +second order transfer function. +

+

Inputs

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+Input + +Description + +Value +
+B + +Activation voltage constant [V] + +0.04777 +
+C + +Constant [A^(-1)] + +0.0136 +
+CV + +Conversion factor + +2 +
+E0 + +Opencell voltage [V] + +0.6 +
+KH2 + +Hydrogen Valve Constant [kmol.s^(-1).atm^(-1)] + +4.22e-05 +
+KH2O + +Water Valve Constant [kmol.s^(-1).atm^(-1)] + +7.716e-06 +
+KO2 + +Oxygen Valve Constant [kmol.s^(-1).atm^(-1)] + +2.11e-05 +
+N0 + +Number of fuel cells in the stack + +5 +
+Rint + +Fuel cell internal resistance [ohm] + +0.00303 +
+T + +Cell Operation Temperature [K] + +343 +
+i-start + +Cell operating current start point [A] + +0.1 +
+i-step + +Cell operating current step + +0.1 +
+i-stop + +Cell operating current end point [A] + +100 +
+qMethanol + +Methanol flow rate [kmol.s^(-1)] + +0.0002 +
+rho + +Hydrogen-Oxygen flow rate + +1.168 +
+t1 + +Reformer time constant [s] + +2 +
+t2 + +Reformer time constant [s] + +2 +
+tH2 + +Hydrogen time constant [s] + +3.37 +
+tH2O + +Water time constant [s] + +18.418 +
+tO2 + +Oxygen time constant [s] + +6.74 +
+

Overall Parameters

+ + + + + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+Efficiency|Pmax + +Cell efficiency at maximum power + +0.3339116037981434 +
+Pmax + +Maximum power [W] + +260.19059991158935 +
+Ptotal(Elec) + +Total electrical power [W] + +279.8328477108543 +
+Ptotal(Thermal) + +Total thermal power [W] + +333.93715228914607 +
+VFC|Pmax + +Cell voltage at maximum power [V] + +2.6045105096255186 +
+

Graphs

+ +
+ +
+ + +
+ +
+ + + + + + + + + + + + + + + + + + + + + +
+Parameter + +Description + +Value +
+K + +Slope of the curve obtained by linear approximation [A^(-1)] + +-0.0044705456629812465 +
+Pmax(L-Approx) + +Maximum power obtained by linear approximation [W] + +512.5923558882793 +
+V0 + +Intercept of the curve obtained by linear approximation [V] + +3.027584868170461 +
+VFC|Pmax(L-Approx) + +Cell voltage at maximum power obtained by linear approximation [V] + +1.5137924340852305 +
+ +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ +

Generated By OPEM Version 0.9

+ + \ No newline at end of file diff --git a/Documents/Padulles-Hauer/Padulles_Hauer_Test.opem b/Documents/Padulles-Hauer/Padulles_Hauer_Test.opem new file mode 100644 index 00000000..79ae1c17 --- /dev/null +++ b/Documents/Padulles-Hauer/Padulles_Hauer_Test.opem @@ -0,0 +1,11024 @@ + ___ + / _ \ _ __ ___ _ __ ___ +| | | || '_ \ / _ \| '_ ` _ \ +| |_| || |_) || __/| | | | | | + \___/ | .__/ \___||_| |_| |_| + |_| +Simulation Date : 2019-02-13 22:04:05.199011 +********** +Padulles-Hauer Model + +********** +Simulation Inputs : + +B : 0.04777 +C : 0.0136 +CV : 2 +E0 : 0.6 +KH2 : 4.22e-05 +KH2O : 7.716e-06 +KO2 : 2.11e-05 +N0 : 5 +Name : Padulles_Hauer_Test +Rint : 0.00303 +T : 343 +i-start : 0.1 +i-step : 0.1 +i-stop : 100 +qMethanol : 0.0002 +rho : 1.168 +t1 : 2 +t2 : 2 +tH2 : 3.37 +tH2O : 18.418 +tO2 : 6.74 +********** +I :0.1 A + +E : 2.9234154992732004 V +FC Efficiency : 0.41518043908246366 +FC Power : 0.3238407424843217 W +FC Voltage : 3.2384074248432166 V +PH2 : 0.19717074233280188 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2.9219203767254793 V +FC Efficiency : 0.33595120496287323 +FC Power : 249.98801063697326 W +FC Voltage : 2.6204193987104114 V +PH2 : 0.18378072865428982 atm +PH2O : 0.22620236501459048 atm +PO2 : 0.1830663738353137 atm +Power-Thermal : 336.7219893630268 W +########### +I :95.5 A + +E : 2.92191877565618 V +FC Efficiency : 0.33590573724249123 +FC Power : 250.21618367193173 W +FC Voltage : 2.620064750491432 V +PH2 : 0.18376667827267543 atm +PH2O : 0.22618507141926195 atm +PO2 : 0.1830584409971154 atm +Power-Thermal : 337.1088163280683 W +########### +I :95.6 A + +E : 2.9219171745174966 V +FC Efficiency : 0.33586027622833947 +FC Power : 250.44429077794817 W +FC Voltage : 2.619710154581048 V +PH2 : 0.18375262789106103 atm +PH2O : 0.2261677778239334 atm +PO2 : 0.1830505081589171 atm +Power-Thermal : 337.49570922205186 W +########### +I :95.7 A + +E : 2.9219155733094233 V +FC Efficiency : 0.3358148219063759 +FC Power : 250.67233196023338 W +FC Voltage : 2.6193556108697322 V +PH2 : 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+I :99.6 A + +E : 2.9218530720062845 V +FC Efficiency : 0.33404717834378006 +FC Power : 259.51457191171585 W +FC Voltage : 2.6055679910814846 V +PH2 : 0.18319061262648548 atm +PH2O : 0.22547603401079164 atm +PO2 : 0.18273319463098492 atm +Power-Thermal : 353.0254280882842 W +########### +I :99.7 A + +E : 2.9218514680176764 V +FC Efficiency : 0.3340019806803354 +FC Power : 259.73998029586966 W +FC Voltage : 2.605215449306616 V +PH2 : 0.1831765622448711 atm +PH2O : 0.2254587404154631 atm +PO2 : 0.18272526179278661 atm +Power-Thermal : 353.41501970413043 W +########### +I :99.8 A + +E : 2.9218498639594315 V +FC Efficiency : 0.3339567891692371 +FC Power : 259.96532296090095 W +FC Voltage : 2.6048629555200495 V +PH2 : 0.18316251186325672 atm +PH2O : 0.22544144682013456 atm +PO2 : 0.1827173289545883 atm +Power-Thermal : 353.8046770390991 W +########### +I :99.9 A + +E : 2.9218482598315436 V +FC Efficiency : 0.3339116037981434 +FC Power : 260.19059991158935 W +FC Voltage : 2.6045105096255186 V +PH2 : 0.18314846148164232 atm +PH2O : 0.22542415322480602 atm +PO2 : 0.18270939611639 atm +Power-Thermal : 354.19440008841076 W +########### diff --git a/Documents/Padulles_Hauer.ipynb b/Documents/Padulles_Hauer.ipynb index 300674c5..4d6ec832 100644 --- a/Documents/Padulles_Hauer.ipynb +++ b/Documents/Padulles_Hauer.ipynb @@ -312,7 +312,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Power Of PEMFC" + "## Power of PEMFC" ] }, { @@ -899,7 +899,7 @@ ], "source": [ "from opem.Dynamic.Padulles_Hauer import Dynamic_Analysis\n", - "Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + "Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False)" ] }, { @@ -922,402 +922,12 @@ "Padulles-Hauer-Model Simulation\n", "###########\n", "Analyzing . . .\n", - "I : 0.1\n", - "E : 2.9234154992732004 V\n", - "FC Efficiency : 0.41518043908246366 \n", - "FC Power : 0.3238407424843217 W\n", - "FC Voltage : 3.2384074248432166 V\n", - "PH2 : 0.19717074233280188 atm\n", - "PH2O : 0.2426831613626925 atm\n", - "PO2 : 0.1906263686382979 atm\n", - "Power-Thermal : 0.2911592575156784 W\n", - "###########\n", - "I : 0.2\n", - "E : 2.9234139617015558 V\n", - "FC Efficiency : 0.4108963136482338 \n", - "FC Power : 0.6409982492912448 W\n", - "FC Voltage : 3.204991246456224 V\n", - "PH2 : 0.1971566919511875 atm\n", - "PH2O : 0.24266586776736396 atm\n", - "PO2 : 0.1906184358000996 atm\n", - "Power-Thermal : 0.5890017507087553 W\n", - "###########\n", - "I : 0.3\n", - "E : 2.9234124240659227 V\n", - "FC Efficiency : 0.4083740564879825 \n", - "FC Power : 0.955595292181879 W\n", - "FC Voltage : 3.1853176406062635 V\n", - "PH2 : 0.19714264156957312 atm\n", - "PH2O : 0.24264857417203542 atm\n", - "PO2 : 0.1906105029619013 atm\n", - "Power-Thermal : 0.889404707818121 W\n", - "###########\n", - "I : 0.4\n", - "E : 2.9234108863662946 V\n", - "FC Efficiency : 0.4065731449109761 \n", - "FC Power : 1.2685082121222457 W\n", - "FC Voltage : 3.171270530305614 V\n", - "PH2 : 0.19712859118795872 atm\n", - "PH2O : 0.24263128057670688 atm\n", - "PO2 : 0.19060257012370302 atm\n", - "Power-Thermal : 1.1914917878777547 W\n", - "###########\n", - "I : 0.5\n", - "E : 2.9234093486026658 V\n", - "FC Efficiency : 0.4051674903968853 \n", - "FC Power : 1.5801532125478528 W\n", - "FC Voltage : 3.1603064250957056 V\n", - "PH2 : 0.19711454080634436 atm\n", - "PH2O : 0.24261398698137834 atm\n", - "PO2 : 0.1905946372855047 atm\n", - "Power-Thermal : 1.4948467874521474 W\n", - "###########\n", - "I : 0.6\n", - "E : 2.923407810775032 V\n", - "FC Efficiency : 0.4040118444230801 \n", - "FC Power : 1.8907754319000147 W\n", - "FC Voltage : 3.1512923865000246 V\n", - "PH2 : 0.19710049042472996 atm\n", - "PH2O : 0.2425966933860498 atm\n", - "PO2 : 0.1905867044473064 atm\n", - "Power-Thermal : 1.7992245680999854 W\n", - "###########\n", - "I : 0.7\n", - "E : 2.923406272883388 V\n", - "FC Efficiency : 0.4030287270042349 \n", - "FC Power : 2.2005368494431226 W\n", - "FC Voltage : 3.1436240706330323 V\n", - "PH2 : 0.19708644004311557 atm\n", - "PH2O : 0.24257939979072127 atm\n", - "PO2 : 0.19057877160910808 atm\n", - "Power-Thermal : 2.1044631505568776 W\n", - "###########\n", - "I : 0.8\n", - "E : 2.9234047349277277 V\n", - "FC Efficiency : 0.4021718894938075 \n", - "FC Power : 2.509552590441359 W\n", - "FC Voltage : 3.1369407380516985 V\n", - "PH2 : 0.19707238966150117 atm\n", - "PH2O : 0.24256210619539273 atm\n", - "PO2 : 0.1905708387709098 atm\n", - "Power-Thermal : 2.4104474095586417 W\n", - "###########\n", - "I : 0.9\n", - "E : 2.9234031969080454 V\n", - "FC Efficiency : 0.4014115005665013 \n", - "FC Power : 2.81790873397684 W\n", - "FC Voltage : 3.1310097044187106 V\n", - "PH2 : 0.19705833927988675 atm\n", - "PH2O : 0.24254481260006414 atm\n", - "PO2 : 0.19056290593271147 atm\n", - "Power-Thermal : 2.7170912660231608 W\n", - "###########\n", - "I : 1.0\n", - "E : 2.9234016588243374 V\n", - "FC Efficiency : 0.40072719160282416 \n", - "FC Power : 3.1256720945020287 W\n", - "FC Voltage : 3.1256720945020287 V\n", - "PH2 : 0.19704428889827239 atm\n", - "PH2O : 0.2425275190047356 atm\n", - "PO2 : 0.1905549730945132 atm\n", - "Power-Thermal : 3.0243279054979717 W\n", - "###########\n", - "I : 1.1\n", - "E : 2.9234001206765963 V\n", - "FC Efficiency : 0.40010443449551725 \n", - "FC Power : 3.4328960479715387 W\n", - "FC Voltage : 3.1208145890650347 V\n", - "PH2 : 0.197030238516658 atm\n", - "PH2O : 0.24251022540940706 atm\n", - "PO2 : 0.19054704025631486 atm\n", - "Power-Thermal : 3.3321039520284623 W\n", - "###########\n", - "I : 1.2\n", - "E : 2.9233985824648183 V\n", - "FC Efficiency : 0.39953250222749515 \n", - "FC Power : 3.7396242208493544 W\n", - "FC Voltage : 3.116353517374462 V\n", - "PH2 : 0.1970161881350436 atm\n", - "PH2O : 0.24249293181407852 atm\n", - "PO2 : 0.19053910741811658 atm\n", - "Power-Thermal : 3.640375779150646 W\n", - "###########\n", - "I : 1.3\n", - "E : 2.923397044188998 V\n", - "FC Efficiency : 0.3990032485837277 \n", - "FC Power : 4.045892940639 W\n", - "FC Voltage : 3.1122253389530767 V\n", - "PH2 : 0.19700213775342923 atm\n", - "PH2O : 0.24247563821874998 atm\n", - "PO2 : 0.19053117457991825 atm\n", - "Power-Thermal : 3.9491070593610007 W\n", - "###########\n", - "I : 1.4\n", - "E : 2.923395505849129 V\n", - "FC Efficiency : 0.3985103413824903 \n", - "FC Power : 4.351732927896794 W\n", - "FC Voltage : 3.1083806627834245 V\n", - "PH2 : 0.19698808737181484 atm\n", - "PH2O : 0.24245834462342142 atm\n", - "PO2 : 0.19052324174171997 atm\n", - "Power-Thermal : 4.258267072103206 W\n", - "###########\n", - "I : 1.5\n", - "E : 2.923393967445207 V\n", - "FC Efficiency : 0.3980487608857143 \n", - "FC Power : 4.657170502362857 W\n", - "FC Voltage : 3.1047803349085714 V\n", - "PH2 : 0.19697403699020044 atm\n", - "PH2O : 0.24244105102809288 atm\n", - "PO2 : 0.19051530890352164 atm\n", - "Power-Thermal : 4.567829497637144 W\n", - "###########\n", - "I : 1.6\n", - "E : 2.923392428977226 V\n", - "FC Efficiency : 0.39761446042126253 \n", - "FC Power : 4.962228466057358 W\n", - "FC Voltage : 3.101392791285848 V\n", - "PH2 : 0.19695998660858605 atm\n", - "PH2O : 0.24242375743276434 atm\n", - "PO2 : 0.19050737606532336 atm\n", - "Power-Thermal : 4.877771533942644 W\n", - "###########\n", - "I : 1.7\n", - "E : 2.9233908904451815 V\n", - "FC Efficiency : 0.3972041300730298 \n", - "FC Power : 5.2669267647683755 W\n", - "FC Voltage : 3.098192214569633 V\n", - "PH2 : 0.19694593622697168 atm\n", - "PH2O : 0.2424064638374358 atm\n", - "PO2 : 0.19049944322712503 atm\n", - "Power-Thermal : 5.188073235231625 W\n", - "###########\n", - "I : 1.8\n", - "E : 2.9233893518490675 V\n", - "FC Efficiency : 0.39681502801851076 \n", - "FC Power : 5.571282993379892 W\n", - "FC Voltage : 3.0951572185443843 V\n", - "PH2 : 0.19693188584535729 atm\n", - "PH2O : 0.24238917024210727 atm\n", - "PO2 : 0.19049151038892673 atm\n", - "Power-Thermal : 5.498717006620109 W\n", - "###########\n", - "I : 1.9\n", - "E : 2.9233878131888784 V\n", - "FC Efficiency : 0.3964448575287326 \n", - "FC Power : 5.875312788575817 W\n", - "FC Voltage : 3.0922698887241142 V\n", - "PH2 : 0.1969178354637429 atm\n", - "PH2O : 0.24237187664677873 atm\n", - "PO2 : 0.19048357755072845 atm\n", - "Power-Thermal : 5.809687211424183 W\n", - "###########\n", - "I : 2.0\n", - "E : 2.9233862744646095 V\n", - "FC Efficiency : 0.3960916755547374 \n", - "FC Power : 6.1790301386539035 W\n", - "FC Voltage : 3.0895150693269517 V\n", - "PH2 : 0.19690378508212852 atm\n", - "PH2O : 0.2423545830514502 atm\n", - "PO2 : 0.19047564471253012 atm\n", - "Power-Thermal : 6.120969861346097 W\n", - "###########\n", - "I : 2.1\n", - "E : 2.923384735676255 V\n", - "FC Efficiency : 0.39575382364054146 \n", - "FC Power : 6.482447631232071 W\n", - "FC Voltage : 3.086879824396224 V\n", - "PH2 : 0.19688973470051413 atm\n", - "PH2O : 0.24233728945612165 atm\n", - "PO2 : 0.19046771187433184 atm\n", - "Power-Thermal : 6.432552368767931 W\n", - "###########\n", - "I : 2.2\n", - "E : 2.92338319682381 V\n", - "FC Efficiency : 0.3954298749226794 \n", - "FC Power : 6.78557665367318 W\n", - "FC Voltage : 3.0843530243968997 V\n", - "PH2 : 0.19687568431889974 atm\n", - "PH2O : 0.2423199958607931 atm\n", - "PO2 : 0.1904597790361335 atm\n", - "Power-Thermal : 6.744423346326822 W\n", - "###########\n", - "I : 2.3\n", - "E : 2.923381657907269 V\n", - "FC Efficiency : 0.39511859292081414 \n", - "FC Power : 7.088427556999405 W\n", - "FC Voltage : 3.0819250247823504 V\n", - "PH2 : 0.19686163393728537 atm\n", - "PH2O : 0.24230270226546458 atm\n", - "PO2 : 0.19045184619793523 atm\n", - "Power-Thermal : 7.0565724430005945 W\n", - "###########\n", - "I : 2.4\n", - "E : 2.9233801189266266 V\n", - "FC Efficiency : 0.39481889910524637 \n", - "FC Power : 7.391009791250212 W\n", - "FC Voltage : 3.079587413020922 V\n", - "PH2 : 0.19684758355567097 atm\n", - "PH2O : 0.242285408670136 atm\n", - "PO2 : 0.1904439133597369 atm\n", - "Power-Thermal : 7.368990208749787 W\n", - "###########\n", - "I : 2.5\n", - "E : 2.923378579881877 V\n", - "FC Efficiency : 0.39452984708947947 \n", - "FC Power : 7.693332018244849 W\n", - "FC Voltage : 3.07733280729794 V\n", - "PH2 : 0.19683353317405658 atm\n", - "PH2O : 0.24226811507480747 atm\n", - "PO2 : 0.19043598052153862 atm\n", - "Power-Thermal : 7.681667981755151 W\n", - "###########\n", - "I : 2.6\n", - "E : 2.923377040773016 V\n", - "FC Efficiency : 0.39425060188740335 \n", - "FC Power : 7.995402206276542 W\n", - "FC Voltage : 3.0751546947217467 V\n", - "PH2 : 0.19681948279244216 atm\n", - "PH2O : 0.2422508214794789 atm\n", - "PO2 : 0.1904280476833403 atm\n", - "Power-Thermal : 7.99459779372346 W\n", - "###########\n", - "I : 2.7\n", - "E : 2.923375501600037 V\n", - "FC Efficiency : 0.3939804230873111 \n", - "FC Power : 8.297227710218774 W\n", - "FC Voltage : 3.073047300081027 V\n", - "PH2 : 0.19680543241082776 atm\n", - "PH2O : 0.24223352788415034 atm\n", - "PO2 : 0.190420114845142 atm\n", - "Power-Thermal : 8.307772289781228 W\n", - "###########\n", - "I : 2.8\n", - "E : 2.923373962362936 V\n", - "FC Efficiency : 0.3937186510874208 \n", - "FC Power : 8.59881533974927 W\n", - "FC Voltage : 3.0710054784818825 V\n", - "PH2 : 0.1967913820292134 atm\n", - "PH2O : 0.2422162342888218 atm\n", - "PO2 : 0.19041218200694368 atm\n", - "Power-Thermal : 8.62118466025073 W\n", - "###########\n", - "I : 2.9\n", - "E : 2.9233724230617057 V\n", - "FC Efficiency : 0.3934646957478549 \n", - "FC Power : 8.900171417816479 W\n", - "FC Voltage : 3.0690246268332686 V\n", - "PH2 : 0.196777331647599 atm\n", - "PH2O : 0.24219894069349326 atm\n", - "PO2 : 0.1904042491687454 atm\n", - "Power-Thermal : 8.934828582183522 W\n", - "###########\n", - "I : 3.0\n", - "E : 2.923370883696343 V\n", - "FC Efficiency : 0.39321802696722546 \n", - "FC Power : 9.201301831033076 W\n", - "FC Voltage : 3.0671006103443585 V\n", - "PH2 : 0.1967632812659846 atm\n", - "PH2O : 0.24218164709816473 atm\n", - "PO2 : 0.19039631633054707 atm\n", - "Power-Thermal : 9.248698168966925 W\n", - "###########\n", - "I : 3.1\n", - "E : 2.9233693442668414 V\n", - "FC Efficiency : 0.39297816680494896 \n", - "FC Power : 9.502212073343667 W\n", - "FC Voltage : 3.0652297010786023 V\n", - "PH2 : 0.19674923088437024 atm\n", - "PH2O : 0.2421643535028362 atm\n", - "PO2 : 0.1903883834923488 atm\n", - "Power-Thermal : 9.562787926656334 W\n", - "###########\n", - "I : 3.2\n", - "E : 2.9233678047731946 V\n", - "FC Efficiency : 0.39274468285467545 \n", - "FC Power : 9.8029072840527 W\n", - "FC Voltage : 3.0634085262664685 V\n", - "PH2 : 0.19673518050275585 atm\n", - "PH2O : 0.24214705990750765 atm\n", - "PO2 : 0.19038045065415046 atm\n", - "Power-Thermal : 9.877092715947303 W\n", - "###########\n", - "I : 3.3\n", - "E : 2.9233662652153996 V\n", - "FC Efficiency : 0.3925171826377131 \n", - "FC Power : 10.103392281094736 W\n", - "FC Voltage : 3.0616340245741624 V\n", - "PH2 : 0.19672113012114145 atm\n", - "PH2O : 0.2421297663121791 atm\n", - "PO2 : 0.19037251781595219 atm\n", - "Power-Thermal : 10.191607718905265 W\n", - "###########\n", - "I : 3.4\n", - "E : 2.923364725593449 V\n", - "FC Efficiency : 0.39229530883366054 \n", - "FC Power : 10.403671590268678 W\n", - "FC Voltage : 3.059903408902552 V\n", - "PH2 : 0.19670707973952706 atm\n", - "PH2O : 0.24211247271685057 atm\n", - "PO2 : 0.19036458497775385 atm\n", - "Power-Thermal : 10.506328409731324 W\n", - "###########\n", - "I : 3.5\n", - "E : 2.923363185907339 V\n", - "FC Efficiency : 0.39207873520256487 \n", - "FC Power : 10.703749471030022 W\n", - "FC Voltage : 3.0582141345800062 V\n", - "PH2 : 0.1966930293579127 atm\n", - "PH2O : 0.24209517912152204 atm\n", - "PO2 : 0.19035665213955555 atm\n", - "Power-Thermal : 10.82125052896998 W\n", - "###########\n", - "I : 3.6\n", - "E : 2.923361646157063 V\n", - "FC Efficiency : 0.3918671630816706 \n", - "FC Power : 11.003629939333312 W\n", - "FC Voltage : 3.0565638720370307 V\n", - "PH2 : 0.1966789789762983 atm\n", - "PH2O : 0.2420778855261935 atm\n", - "PO2 : 0.19034871930135727 atm\n", - "Power-Thermal : 11.13637006066669 W\n", - "###########\n", - "I : 3.7\n", - "E : 2.923360106342616 V\n", - "FC Efficiency : 0.3916603183622587 \n", - "FC Power : 11.303316787934786 W\n", - "FC Voltage : 3.054950483225618 V\n", - "PH2 : 0.1966649285946839 atm\n", - "PH2O : 0.24206059193086493 atm\n", - "PO2 : 0.19034078646315894 atm\n", - "Power-Thermal : 11.451683212065214 W\n", - "###########\n", - "I : 3.8\n", - "E : 2.9233585664639925 V\n", - "FC Efficiency : 0.3914579488697281 \n", - "FC Power : 11.602813604498742 W\n", - "FC Voltage : 3.0533720011838796 V\n", - "PH2 : 0.19665087821306954 atm\n", - "PH2O : 0.2420432983355364 atm\n", - "PO2 : 0.19033285362496066 atm\n", - "Power-Thermal : 11.767186395501259 W\n", - "###########\n", - "I : 3.9\n", - "E : 2.9233570265211877 V\n", - "FC Efficiency : 0.3912598220840501 \n", - "FC Power : 11.902123787796803 W\n", - "FC Voltage : 3.051826612255591 V\n", - "PH2 : 0.19663682783145514 atm\n", - "PH2O : 0.24202600474020786 atm\n", - "PO2 : 0.19032492078676233 atm\n", - "Power-Thermal : 12.082876212203196 W\n", - "###########\n", "Done!\n" ] } ], "source": [ - "Data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=True)" + "Data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=False)" ] }, { @@ -1348,6 +958,246 @@ "Dynamic_Analysis(InputMethod={},TestMode=True,PrintMode=False,ReportMode=True)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", + "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" + ] + } + ], + "source": [ + "import sys\n", + "!{sys.executable} -m pip install matplotlib;\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_func(x,y,x_label,y_label,color='green'):\n", + " plt.figure()\n", + " plt.plot(x,y,color=color)\n", + " plt.xlabel(x_label)\n", + " plt.ylabel(y_label)\n", + " plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "Test_Vector = {\n", + " \"T\": 343,\n", + " \"E0\": 0.6,\n", + " \"N0\": 5,\n", + " \"KO2\": 0.0000211,\n", + " \"KH2\": 0.0000422,\n", + " \"KH2O\": 0.000007716,\n", + " \"tH2\": 3.37,\n", + " \"tO2\": 6.74,\n", + " \"t1\": 2,\n", + " \"t2\": 2,\n", + " \"tH2O\": 18.418,\n", + " \"B\": 0.04777,\n", + " \"C\": 0.0136,\n", + " \"Rint\": 0.00303,\n", + " \"rho\": 1.168,\n", + " \"qMethanol\": 0.0002,\n", + " \"CV\": 2,\n", + " \"i-start\": 0.1,\n", + " \"i-stop\": 100,\n", + " \"i-step\": 0.1,\n", + " \"Name\": \"Padulles_Hauer_Test\"}\n", + "data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_func(data[\"I\"],data[\"PH2O\"],\"I(A)\",\"PH2O(atm)\",\"pink\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "HTML File" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "OPEM File" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "CSV File" + ] + }, { "cell_type": "markdown", "metadata": {}, From c198637f4f27309b2e47e52ef885185c43fe68a2 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Wed, 13 Feb 2019 22:07:09 +0330 Subject: [PATCH 078/204] fix : typo in notebooks fixed #92 --- Documents/Amphlett.ipynb | 2 +- Documents/Chamberline_Kim.ipynb | 2 +- Documents/Larminie_Dicks.ipynb | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/Documents/Amphlett.ipynb b/Documents/Amphlett.ipynb index 6f7533d9..d9378bc5 100644 --- a/Documents/Amphlett.ipynb +++ b/Documents/Amphlett.ipynb @@ -431,7 +431,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Power Of PEMFC" + "## Power of PEMFC" ] }, { diff --git a/Documents/Chamberline_Kim.ipynb b/Documents/Chamberline_Kim.ipynb index 9cbd2341..070349f0 100644 --- a/Documents/Chamberline_Kim.ipynb +++ b/Documents/Chamberline_Kim.ipynb @@ -119,7 +119,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Power Of PEMFC" + "## Power of PEMFC" ] }, { diff --git a/Documents/Larminie_Dicks.ipynb b/Documents/Larminie_Dicks.ipynb index 8aeb4463..94f3b01a 100644 --- a/Documents/Larminie_Dicks.ipynb +++ b/Documents/Larminie_Dicks.ipynb @@ -113,7 +113,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Power Of PEMFC" + "## Power of PEMFC" ] }, { From e532086e900eb7c28ddd83ceebf868395694a54e Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Wed, 13 Feb 2019 22:09:59 +0330 Subject: [PATCH 079/204] fix : minor edit in Padulles-2 notebook #92 --- ...Padulles2_Vector.csv => Padulles2_Test.csv} | 0 ...dulles2_Vector.html => Padulles2_Test.html} | 2 +- ...dulles2_Vector.opem => Padulles2_Test.opem} | 4 ++-- Documents/Padulles2.ipynb | 18 +++++++++--------- 4 files changed, 12 insertions(+), 12 deletions(-) rename Documents/Padulles-II/{Padulles2_Vector.csv => Padulles2_Test.csv} (100%) rename Documents/Padulles-II/{Padulles2_Vector.html => Padulles2_Test.html} (99%) rename Documents/Padulles-II/{Padulles2_Vector.opem => Padulles2_Test.opem} (99%) diff --git a/Documents/Padulles-II/Padulles2_Vector.csv b/Documents/Padulles-II/Padulles2_Test.csv similarity index 100% rename from Documents/Padulles-II/Padulles2_Vector.csv rename to Documents/Padulles-II/Padulles2_Test.csv diff --git a/Documents/Padulles-II/Padulles2_Vector.html b/Documents/Padulles-II/Padulles2_Test.html similarity index 99% rename from Documents/Padulles-II/Padulles2_Vector.html rename to Documents/Padulles-II/Padulles2_Test.html index 099ce8e9..29b8fde1 100644 --- a/Documents/Padulles-II/Padulles2_Vector.html +++ b/Documents/Padulles-II/Padulles2_Test.html @@ -1,6 +1,6 @@ -Padulles2_Vector +Padulles2_Test -

Generated By OPEM Version 0.9

+

Generated By OPEM Version 1.0

\ No newline at end of file diff --git a/Documents/Amphlett/Amphlett_Test.opem b/Documents/Amphlett/Amphlett_Test.opem index b6982f13..4ee53aa2 100644 --- a/Documents/Amphlett/Amphlett_Test.opem +++ b/Documents/Amphlett/Amphlett_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-19 01:36:07.035845 +Simulation Date : 2019-02-22 15:47:51.869014 ********** Amphlett Model diff --git a/Documents/Chamberline-Kim/Chamberline_Test.html b/Documents/Chamberline-Kim/Chamberline_Test.html index f0c066cf..787b0800 100644 --- a/Documents/Chamberline-Kim/Chamberline_Test.html +++ b/Documents/Chamberline-Kim/Chamberline_Test.html @@ -69,7 +69,7 @@

Inputs

N -Number Of Single Cells +Number of single cells 1 @@ -489,6 +489,6 @@

Graphs

} }); -

Generated By OPEM Version 0.9

+

Generated By OPEM Version 1.0

\ No newline at end of file diff --git a/Documents/Chamberline-Kim/Chamberline_Test.opem b/Documents/Chamberline-Kim/Chamberline_Test.opem index 08d3e21d..3c94f702 100644 --- a/Documents/Chamberline-Kim/Chamberline_Test.opem +++ b/Documents/Chamberline-Kim/Chamberline_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-19 01:37:23.561620 +Simulation Date : 2019-02-22 15:48:18.304248 ********** Chamberline-Kim Model diff --git a/Documents/Chamberline_Kim.ipynb b/Documents/Chamberline_Kim.ipynb index 12c7b718..2e918313 100644 --- a/Documents/Chamberline_Kim.ipynb +++ b/Documents/Chamberline_Kim.ipynb @@ -11,7 +11,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Version 0.9" + "### Version 1.0" ] }, { @@ -2941,7 +2941,13 @@ "###########\n", "I : 32.1\n", "PEM Efficiency : 0.47951315612463496 \n", - "Power : 24.012100806097223 W\n", + "Power : 24.012100806097223 W\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Power-Stack : 24.012100806097223 W\n", "Power-Thermal : 15.470899193902778 W\n", "VStack : 0.7480405235544306 V\n", @@ -3226,13 +3232,7 @@ "Power-Thermal : 20.028856976540254 W\n", "VStack : 0.6673916579623524 V\n", "Vcell : 0.6673916579623524 V\n", - "###########\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "###########\n", "I : 35.7\n", "PEM Efficiency : 0.42599295727738007 \n", "Power : 23.72439977669185 W\n", @@ -3881,15 +3881,23 @@ "output_type": "stream", "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", - "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", - "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", - "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "You are using pip version 19.0.2, however version 19.0.3 is available.\n", + "You should consider upgrading via the 'python -m pip install --upgrade pip' command.\n" + ] } ], "source": [ diff --git a/Documents/Larminie-Dicks/Larminiee_Test.html b/Documents/Larminie-Dicks/Larminiee_Test.html index a669e107..61b83c3c 100644 --- a/Documents/Larminie-Dicks/Larminiee_Test.html +++ b/Documents/Larminie-Dicks/Larminiee_Test.html @@ -64,7 +64,7 @@

Inputs

E0 -Fuel Cell reversible no loss voltage [V] +Fuel cell reversible no loss voltage [V] 1.178 @@ -74,7 +74,7 @@

Inputs

N -Number Of Single Cells +Number of single cells 23 @@ -134,7 +134,7 @@

Inputs

i_L -limiting current [A] +Limiting current [A] 100.0 @@ -494,6 +494,6 @@

Graphs

} }); -

Generated By OPEM Version 0.9

+

Generated By OPEM Version 1.0

\ No newline at end of file diff --git a/Documents/Larminie-Dicks/Larminiee_Test.opem b/Documents/Larminie-Dicks/Larminiee_Test.opem index 595377e7..9dd0cccb 100644 --- a/Documents/Larminie-Dicks/Larminiee_Test.opem +++ b/Documents/Larminie-Dicks/Larminiee_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-19 01:38:08.623360 +Simulation Date : 2019-02-22 15:48:43.997950 ********** Larminie-Dicks Model diff --git a/Documents/Larminie_Dicks.ipynb b/Documents/Larminie_Dicks.ipynb index 6821817f..d37c4c1c 100644 --- a/Documents/Larminie_Dicks.ipynb +++ b/Documents/Larminie_Dicks.ipynb @@ -11,7 +11,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Version 0.9" + "### Version 1.0" ] }, { @@ -6887,7 +6887,13 @@ "Power : 31.763432628582766 W\n", "Power-Stack : 730.5589504574036 W\n", "Power-Thermal : 1543.9570495425967 W\n", - "VStack : 9.08655411016671 V\n", + "VStack : 9.08655411016671 V\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Vcell : 0.3950675700072483 V\n", "###########\n", "I : 80.5\n", @@ -6926,13 +6932,7 @@ "PEM Efficiency : 0.25157219299043654 \n", "Power : 31.74941704416506 W\n", "Power-Stack : 730.2365920157964 W\n", - "Power-Thermal : 1558.424407984204 W\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Power-Thermal : 1558.424407984204 W\n", "VStack : 9.026410284496864 V\n", "Vcell : 0.39245262106508105 V\n", "###########\n", @@ -8400,15 +8400,23 @@ "output_type": "stream", "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", - "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", - "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", - "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "You are using pip version 19.0.2, however version 19.0.3 is available.\n", + "You should consider upgrading via the 'python -m pip install --upgrade pip' command.\n" + ] } ], "source": [ diff --git a/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.html b/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.html index dd1cefb3..0be14eaf 100644 --- a/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.html +++ b/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.html @@ -41,7 +41,7 @@

Inputs

A -active area [cm^2] +Active area [cm^2] 50.6 @@ -51,7 +51,7 @@

Inputs

B -An empirical constant depending on the cell and its operation state (Tafel Slope) [V] +An empirical constant depending on the cell and its operation state (Tafel slope) [V] 0.016 @@ -71,7 +71,7 @@

Inputs

E0 -Opencell voltage [V], Default Value:1.229 +No load voltage [V], Default Value:1.229 1.229 @@ -81,7 +81,7 @@

Inputs

JMax -maximum current density [A/(cm^2)] +Maximum current density [A/(cm^2)] 1.5 @@ -91,7 +91,7 @@

Inputs

KH2 -Hydrogen Valve Constant [kmol.s^(-1).atm^(-1)] +Hydrogen valve constant [kmol.s^(-1).atm^(-1)] 4.22e-05 @@ -101,7 +101,7 @@

Inputs

KH2O -Water Valve Constant [kmol.s^(-1).atm^(-1)] +Water valve constant [kmol.s^(-1).atm^(-1)] 7.716e-06 @@ -111,7 +111,7 @@

Inputs

KO2 -Oxygen Valve Constant [kmol.s^(-1).atm^(-1)] +Oxygen valve constant [kmol.s^(-1).atm^(-1)] 2.11e-05 @@ -121,7 +121,7 @@

Inputs

N0 -Number of fuel cells in the stack +Number of cells 5 @@ -141,7 +141,7 @@

Inputs

T -Cell Operation Temperature [K] +Fuel cell temperature [K] 343 @@ -181,7 +181,7 @@

Inputs

l -Membrane Thickness [cm] +Membrane thickness [cm] 0.0178 @@ -191,7 +191,7 @@

Inputs

lambda -is an adjustable parameter with a min value of 14 and max value of 23 +An adjustable parameter with a min value of 14 and max value of 23 23 @@ -201,7 +201,7 @@

Inputs

qMethanol -Methanol flow rate [kmol.s^(-1)] +Molar flow of methanol [kmol.s^(-1)] 0.0002 @@ -806,6 +806,6 @@

Graphs

} }); -

Generated By OPEM Version 0.9

+

Generated By OPEM Version 1.0

\ No newline at end of file diff --git a/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.opem b/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.opem index e0828093..e1fe7815 100644 --- a/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.opem +++ b/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-19 01:40:46.011371 +Simulation Date : 2019-02-22 15:49:55.523280 ********** Padulles-Amphlett Model diff --git a/Documents/Padulles-Hauer/Padulles_Hauer_Test.html b/Documents/Padulles-Hauer/Padulles_Hauer_Test.html index 5faa6d7a..845cea12 100644 --- a/Documents/Padulles-Hauer/Padulles_Hauer_Test.html +++ b/Documents/Padulles-Hauer/Padulles_Hauer_Test.html @@ -51,7 +51,7 @@

Inputs

C -Constant [A^(-1)] +Activation constant parameter [A^(-1)] 0.0136 @@ -71,7 +71,7 @@

Inputs

E0 -Opencell voltage [V] +No load voltage [V] 0.6 @@ -81,7 +81,7 @@

Inputs

KH2 -Hydrogen Valve Constant [kmol.s^(-1).atm^(-1)] +Hydrogen valve constant [kmol.s^(-1).atm^(-1)] 4.22e-05 @@ -91,7 +91,7 @@

Inputs

KH2O -Water Valve Constant [kmol.s^(-1).atm^(-1)] +Water valve constant [kmol.s^(-1).atm^(-1)] 7.716e-06 @@ -101,7 +101,7 @@

Inputs

KO2 -Oxygen Valve Constant [kmol.s^(-1).atm^(-1)] +Oxygen valve constant [kmol.s^(-1).atm^(-1)] 2.11e-05 @@ -111,7 +111,7 @@

Inputs

N0 -Number of fuel cells in the stack +Number of cells 5 @@ -131,7 +131,7 @@

Inputs

T -Cell Operation Temperature [K] +Fuel cell temperature [K] 343 @@ -171,7 +171,7 @@

Inputs

qMethanol -Methanol flow rate [kmol.s^(-1)] +Molar flow of methanol [kmol.s^(-1)] 0.0002 @@ -713,6 +713,6 @@

Graphs

} }); -

Generated By OPEM Version 0.9

+

Generated By OPEM Version 1.0

\ No newline at end of file diff --git a/Documents/Padulles-Hauer/Padulles_Hauer_Test.opem b/Documents/Padulles-Hauer/Padulles_Hauer_Test.opem index d6bdc62f..0f67a255 100644 --- a/Documents/Padulles-Hauer/Padulles_Hauer_Test.opem +++ b/Documents/Padulles-Hauer/Padulles_Hauer_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-19 01:41:31.273439 +Simulation Date : 2019-02-22 15:50:48.240685 ********** Padulles-Hauer Model diff --git a/Documents/Padulles-I/PadullesI_Test.html b/Documents/Padulles-I/PadullesI_Test.html index efa390c3..06aed492 100644 --- a/Documents/Padulles-I/PadullesI_Test.html +++ b/Documents/Padulles-I/PadullesI_Test.html @@ -50,7 +50,7 @@

Inputs

C -Constant [A^(-1)] +Activation constant parameter [A^(-1)] 0.0136 @@ -60,7 +60,7 @@

Inputs

E0 -Opencell voltage [V] +No load voltage [V] 0.6 @@ -70,7 +70,7 @@

Inputs

KH2 -Hydrogen Valve Constant [kmol.s^(-1).atm^(-1)] +Hydrogen valve constant [kmol.s^(-1).atm^(-1)] 4.22e-05 @@ -80,7 +80,7 @@

Inputs

KO2 -Oxygen Valve Constant [kmol.s^(-1).atm^(-1)] +Oxygen valve constant [kmol.s^(-1).atm^(-1)] 2.11e-05 @@ -90,7 +90,7 @@

Inputs

N0 -Number of fuel cells in the stack +Number of cells 88 @@ -110,7 +110,7 @@

Inputs

T -Cell Operation Temperature [K] +Fuel cell temperature [K] 343 @@ -619,6 +619,6 @@

Graphs

});

Warning : There are errors in the simulations in some of I amounts; please refer to the .opem file for review. If you are confident about this parameters, ignore this error.

-

Generated By OPEM Version 0.9

+

Generated By OPEM Version 1.0

\ No newline at end of file diff --git a/Documents/Padulles-I/PadullesI_Test.opem b/Documents/Padulles-I/PadullesI_Test.opem index c2908946..4d68b69c 100644 --- a/Documents/Padulles-I/PadullesI_Test.opem +++ b/Documents/Padulles-I/PadullesI_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-19 01:38:48.551235 +Simulation Date : 2019-02-22 15:49:11.600773 ********** Padulles-I Model diff --git a/Documents/Padulles-II/Padulles2_Test.html b/Documents/Padulles-II/Padulles2_Test.html index 29b8fde1..9d268663 100644 --- a/Documents/Padulles-II/Padulles2_Test.html +++ b/Documents/Padulles-II/Padulles2_Test.html @@ -50,7 +50,7 @@

Inputs

C -Constant [A^(-1)] +Activation constant parameter [A^(-1)] 0.0136 @@ -60,7 +60,7 @@

Inputs

E0 -Opencell voltage [V] +No load voltage [V] 0.6 @@ -70,7 +70,7 @@

Inputs

KH2 -Hydrogen Valve Constant [kmol.s^(-1).atm^(-1)] +Hydrogen valve constant [kmol.s^(-1).atm^(-1)] 4.22e-05 @@ -90,7 +90,7 @@

Inputs

KO2 -Oxygen Valve Constant [kmol.s^(-1).atm^(-1)] +Oxygen valve constant [kmol.s^(-1).atm^(-1)] 2.11e-05 @@ -100,7 +100,7 @@

Inputs

N0 -Number of fuel cells in the stack +Number of cells 5 @@ -120,7 +120,7 @@

Inputs

T -Cell Operation Temperature [K] +Fuel cell temperature [K] 343 @@ -682,6 +682,6 @@

Graphs

} }); -

Generated By OPEM Version 0.9

+

Generated By OPEM Version 1.0

\ No newline at end of file diff --git a/Documents/Padulles-II/Padulles2_Test.opem b/Documents/Padulles-II/Padulles2_Test.opem index e0307e91..390b5d59 100644 --- a/Documents/Padulles-II/Padulles2_Test.opem +++ b/Documents/Padulles-II/Padulles2_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-19 01:40:04.234479 +Simulation Date : 2019-02-22 15:49:34.211418 ********** Padulles-II Model diff --git a/Documents/Padulles1.ipynb b/Documents/Padulles1.ipynb index f769fffe..3024eaf8 100644 --- a/Documents/Padulles1.ipynb +++ b/Documents/Padulles1.ipynb @@ -11,7 +11,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Version 0.9" + "### Version 1.0" ] }, { @@ -2962,7 +2962,13 @@ "I : 26.6\n", "E : 54.23683515919194 V\n", "FC Efficiency : 0.39484854651873147 \n", - "FC Power : 1441.8479051980328 W\n", + "FC Power : 1441.8479051980328 W\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "FC Voltage : 54.20480846609146 V\n", "PH2 : 2.1032544532926587 atm\n", "PO2 : 2.059838940932276 atm\n", @@ -3128,13 +3134,7 @@ "FC Voltage : 54.19267746045685 V\n", "PH2 : 2.0988032923972204 atm\n", "PO2 : 2.057325817791053 atm\n", - "Power-Thermal : 1534.9439601230254 W\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Power-Thermal : 1534.9439601230254 W\n", "###########\n", "I : 28.5\n", "E : 54.2330886609192 V\n", @@ -3967,13 +3967,7 @@ "I : 37.7\n", "E : 54.21483963705109 V\n", "FC Efficiency : 0.39432197122681173 \n", - "FC Power : 2040.7960119176305 W\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Power : 2040.7960119176305 W\n", "FC Voltage : 54.13252021001672 V\n", "PH2 : 2.0758056277707895 atm\n", "PO2 : 2.0443413482280683 atm\n", @@ -4974,7 +4968,13 @@ "FC Efficiency : 0.3938250209759464 \n", "FC Power : 2638.337785323403 W\n", "FC Voltage : 54.064298879577926 V\n", - "PH2 : 2.0483568022489207 atm\n", + "PH2 : 2.0483568022489207 atm\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "PO2 : 2.0288437555238605 atm\n", "Power-Thermal : 2643.774214676597 W\n", "###########\n", @@ -5973,13 +5973,7 @@ "FC Efficiency : 0.3933445788189066 \n", "FC Power : 3234.500792437544 W\n", "FC Voltage : 53.9983437802595 V\n", - "PH2 : 2.0209079767270515 atm\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "PH2 : 2.0209079767270515 atm\n", "PO2 : 2.013346162819653 atm\n", "Power-Thermal : 3249.0752075624555 W\n", "###########\n", @@ -7035,7 +7029,13 @@ "PH2 : 1.9919754309067033 atm\n", "PO2 : 1.997010862401704 atm\n", "Power-Thermal : 3888.5732050888155 W\n", - "###########\n", + "###########\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "I : 71.7\n", "E : 54.14578921569111 V\n", "FC Efficiency : 0.39284485553872145 \n", @@ -7978,13 +7978,7 @@ "FC Power : 4422.736146709052 W\n", "FC Voltage : 53.87011140936726 V\n", "PH2 : 1.9660103256833135 atm\n", - "PO2 : 1.9823509774112373 atm\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "PO2 : 1.9823509774112373 atm\n", "Power-Thermal : 4463.767853290947 W\n", "###########\n", "I : 82.2\n", @@ -8985,7 +8979,13 @@ "PH2 : 1.9385615001614447 atm\n", "PO2 : 1.9668533847070295 atm\n", "Power-Thermal : 5073.152673717628 W\n", - "###########\n", + "###########\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "I : 93.3\n", "E : 54.100539789674976 V\n", "FC Efficiency : 0.3919468611509362 \n", @@ -9697,15 +9697,23 @@ "output_type": "stream", "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", - "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", - "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", - "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", - "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", - "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "You are using pip version 19.0.2, however version 19.0.3 is available.\n", + "You should consider upgrading via the 'python -m pip install --upgrade pip' command.\n" + ] } ], "source": [ diff --git a/Documents/Padulles2.ipynb b/Documents/Padulles2.ipynb index f8145d95..e59b2bad 100644 --- a/Documents/Padulles2.ipynb +++ b/Documents/Padulles2.ipynb @@ -11,7 +11,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Version 0.9" + "### Version 1.0" ] }, { @@ -2488,13 +2488,7 @@ "###########\n", "I : 19.0\n", "E : 3.0119858180443124 V\n", - "FC Efficiency : 0.38705902611374643 \n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Efficiency : 0.38705902611374643 \n", "FC Power : 57.362147670057226 W\n", "FC Voltage : 3.0190604036872224 V\n", "PH2 : 2.1663631473518454 atm\n", @@ -2994,7 +2988,13 @@ "###########\n", "I : 24.0\n", "E : 3.01197882382983 V\n", - "FC Efficiency : 0.3836850805168974 \n", + "FC Efficiency : 0.3836850805168974 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "FC Power : 71.8258470727632 W\n", "FC Voltage : 2.9927436280318 V\n", "PH2 : 2.1656606282711257 atm\n", @@ -4528,13 +4528,7 @@ "FC Power : 114.86621503104827 W\n", "FC Voltage : 2.922804453716241 V\n", "PH2 : 2.1635109198841245 atm\n", - "PH2O : 2.662908621574114 atm\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "PH2O : 2.662908621574114 atm\n", "PO2 : 2.0938597108295247 atm\n", "Power-Thermal : 126.82878496895172 W\n", "###########\n", @@ -5000,7 +4994,13 @@ "###########\n", "I : 44.0\n", "E : 3.0119508337240952 V\n", - "FC Efficiency : 0.3722000680242963 \n", + "FC Efficiency : 0.3722000680242963 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "FC Power : 127.73906334593849 W\n", "FC Voltage : 2.903160530589511 V\n", "PH2 : 2.162850551948248 atm\n", @@ -6499,13 +6499,7 @@ "Power-Thermal : 194.7198380766627 W\n", "###########\n", "I : 59.0\n", - "E : 3.011929827220539 V\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "E : 3.011929827220539 V\n", "FC Efficiency : 0.3645738845131864 \n", "FC Power : 167.77690165296838 W\n", "FC Voltage : 2.843676299202854 V\n", @@ -7005,7 +6999,13 @@ "Power-Thermal : 212.46678097856423 W\n", "###########\n", "I : 64.0\n", - "E : 3.011922822397767 V\n", + "E : 3.011922822397767 V\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "FC Efficiency : 0.3621324888696624 \n", "FC Power : 180.77653844373546 W\n", "FC Voltage : 2.8246334131833666 V\n", @@ -8505,13 +8505,7 @@ "Power-Thermal : 266.72402540882223 W\n", "###########\n", "I : 79.0\n", - "E : 3.0119017999576374 V\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "E : 3.0119017999576374 V\n", "FC Efficiency : 0.3550132963747408 \n", "FC Power : 218.75919322611531 W\n", "FC Voltage : 2.7691037117229786 V\n", @@ -9176,7 +9170,13 @@ "FC Power : 234.99455696916792 W\n", "FC Voltage : 2.7452635159949526 V\n", "PH2 : 2.1570055931966627 atm\n", - "PH2O : 2.6549016869369986 atm\n", + "PH2O : 2.6549016869369986 atm\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "PO2 : 2.0901868067437097 atm\n", "Power-Thermal : 291.44544303083205 W\n", "###########\n", @@ -10510,13 +10510,7 @@ "PO2 : 2.089131739263335 atm\n", "Power-Thermal : 341.3981784957859 W\n", "###########\n", - "I : 99.0\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "I : 99.0\n", "E : 3.0118737514177423 V\n", "FC Efficiency : 0.34585837331468 \n", "FC Power : 267.0718358735959 W\n", @@ -10615,7 +10609,13 @@ "PH2O : 2.652428702805017 atm\n", "PO2 : 2.089052410881352 atm\n", "Power-Thermal : 345.20097962118984 W\n", - "###########\n", + "###########\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Done!\n" ] } @@ -10714,15 +10714,23 @@ "output_type": "stream", "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", - "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", - "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", - "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", - "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "You are using pip version 19.0.2, however version 19.0.3 is available.\n", + "You should consider upgrading via the 'python -m pip install --upgrade pip' command.\n" + ] } ], "source": [ diff --git a/Documents/Padulles_Amphlett.ipynb b/Documents/Padulles_Amphlett.ipynb index d465297e..b0259321 100644 --- a/Documents/Padulles_Amphlett.ipynb +++ b/Documents/Padulles_Amphlett.ipynb @@ -11,7 +11,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Version 0.9" + "### Version 1.0" ] }, { @@ -3200,7 +3200,13 @@ "PO2 : 0.18930158465918107 atm\n", "Power-Thermal : 48.45216793450386 W\n", "###########\n", - "I : 16.9\n", + "I : 16.9\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "E : 6.068156285437771 V\n", "Eta Activation : 0.5255270011168852 V\n", "Eta Concentration : 0.004030067847933837 V\n", @@ -3700,13 +3706,7 @@ "FC Voltage : 3.1597432795668876 V\n", "Loss : 0.5816717546649881 V\n", "PH2 : 0.19431851486508106 atm\n", - "PH2O : 0.23917256151099817 atm\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "PH2O : 0.23917256151099817 atm\n", "PO2 : 0.1890160024840421 atm\n", "Power-Thermal : 61.001237096835496 W\n", "###########\n", @@ -5206,7 +5206,13 @@ "PH2 : 0.1928151240323415 atm\n", "PH2O : 0.237322146810844 atm\n", "PO2 : 0.18816718879682354 atm\n", - "Power-Thermal : 101.54334046912129 W\n", + "Power-Thermal : 101.54334046912129 W\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "###########\n", "I : 31.2\n", "E : 6.067934203179685 V\n", @@ -5705,13 +5711,7 @@ "Eta Ohmic : 0.07049292745739155 V\n", "FC Efficiency : 0.35882647543140966 \n", "FC Power : 97.11997384026535 W\n", - "FC Voltage : 2.798846508364995 V\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Voltage : 2.798846508364995 V\n", "Loss : 0.6538066270127785 V\n", "PH2 : 0.19230931029422352 atm\n", "PH2O : 0.23669957737901642 atm\n", @@ -7211,7 +7211,13 @@ "FC Power : 115.52690341555994 W\n", "FC Voltage : 2.544645449681937 V\n", "Loss : 0.704613379076614 V\n", - "PH2 : 0.19080591946148398 atm\n", + "PH2 : 0.19080591946148398 atm\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "PH2O : 0.23484916267886227 atm\n", "PO2 : 0.18703279293446598 atm\n", "Power-Thermal : 163.68309658444008 W\n", @@ -7711,13 +7717,7 @@ "Eta Activation : 0.5966948119995634 V\n", "Eta Concentration : 0.016596646364700655 V\n", "Eta Ohmic : 0.10890394678952171 V\n", - "FC Efficiency : 0.3149588283658443 \n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Efficiency : 0.3149588283658443 \n", "FC Power : 120.3772642014257 W\n", "FC Voltage : 2.456678861253586 V\n", "Loss : 0.7221954051537859 V\n", @@ -9217,7 +9217,13 @@ "Eta Ohmic : 0.14376979663031486 V\n", "FC Efficiency : 0.2788535914530824 \n", "FC Power : 129.85096339604235 W\n", - "FC Voltage : 2.1750580133340427 V\n", + "FC Voltage : 2.1750580133340427 V\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Loss : 0.7784859113504807 V\n", "PH2 : 0.18879671489062644 atm\n", "PH2O : 0.23237617854688053 atm\n", @@ -9716,13 +9722,7 @@ "###########\n", "I : 63.3\n", "E : 6.067430767258695 V\n", - "Eta Activation : 0.6139614430283981 V\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Eta Activation : 0.6139614430283981 V\n", "Eta Concentration : 0.028731517927106428 V\n", "Eta Ohmic : 0.156999086961658 V\n", "FC Efficiency : 0.2652526317529336 \n", @@ -11253,7 +11253,13 @@ "Eta Ohmic : 0.20268914738238428 V\n", "FC Efficiency : 0.20850041627572402 \n", "FC Power : 120.67170092373806 W\n", - "FC Voltage : 1.6263032469506475 V\n", + "FC Voltage : 1.6263032469506475 V\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Loss : 0.8881909999072739 V\n", "PH2 : 0.18675940955654013 atm\n", "PH2O : 0.2298686072242417 atm\n", @@ -11357,13 +11363,7 @@ "PH2O : 0.22974755205694192 atm\n", "PO2 : 0.18469260566596615 atm\n", "Power-Thermal : 343.4645657067565 W\n", - "###########\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "###########\n", "Done!\n" ] } @@ -11462,15 +11462,23 @@ "output_type": "stream", "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", - "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", - "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", - "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", - "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "You are using pip version 19.0.2, however version 19.0.3 is available.\n", + "You should consider upgrading via the 'python -m pip install --upgrade pip' command.\n" + ] } ], "source": [ diff --git a/Documents/Padulles_Hauer.ipynb b/Documents/Padulles_Hauer.ipynb index b4cbcf12..07246637 100644 --- a/Documents/Padulles_Hauer.ipynb +++ b/Documents/Padulles_Hauer.ipynb @@ -11,7 +11,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Version 0.9" + "### Version 1.0" ] }, { @@ -2511,13 +2511,7 @@ "E : 2.923125305159725 V\n", "FC Efficiency : 0.3757378174128644 \n", "FC Power : 55.39126904300446 W\n", - "FC Voltage : 2.930754975820342 V\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Voltage : 2.930754975820342 V\n", "PH2 : 0.19452927058929687 atm\n", "PH2O : 0.23943196544092632 atm\n", "PO2 : 0.18913499505701667 atm\n", @@ -3017,7 +3011,13 @@ "E : 2.923047740624047 V\n", "FC Efficiency : 0.3723480772202942 \n", "FC Power : 69.41312855540725 W\n", - "FC Voltage : 2.9043150023182953 V\n", + "FC Voltage : 2.9043150023182953 V\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "PH2 : 0.19382675150857745 atm\n", "PH2O : 0.23856728567449914 atm\n", "PO2 : 0.18873835314710147 atm\n", @@ -4766,13 +4766,7 @@ "I : 41.4\n", "E : 2.9227749752056447 V\n", "FC Efficiency : 0.3621502927187213 \n", - "FC Power : 116.94557252472947 W\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Power : 116.94557252472947 W\n", "FC Voltage : 2.824772283206026 V\n", "PH2 : 0.1913679347260595 atm\n", "PH2O : 0.23554090649200402 atm\n", @@ -5023,7 +5017,13 @@ "E : 2.9227358438108473 V\n", "FC Efficiency : 0.36081502979721314 \n", "FC Power : 123.55028250316172 W\n", - "FC Voltage : 2.8143572324182626 V\n", + "FC Voltage : 2.8143572324182626 V\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "PH2 : 0.1910166751856998 atm\n", "PH2O : 0.23510856660879045 atm\n", "PO2 : 0.18715178550744055 atm\n", @@ -6522,13 +6522,7 @@ "I : 58.9\n", "E : 2.922500181086316 V\n", "FC Efficiency : 0.3531577804952944 \n", - "FC Power : 162.24774751514815 W\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Power : 162.24774751514815 W\n", "FC Voltage : 2.7546306878632962 V\n", "PH2 : 0.18890911794354157 atm\n", "PH2O : 0.2325145273095089 atm\n", @@ -7028,7 +7022,13 @@ "I : 63.9\n", "E : 2.922421291624597 V\n", "FC Efficiency : 0.3507063565908972 \n", - "FC Power : 174.79906225203501 W\n", + "FC Power : 174.79906225203501 W\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "FC Voltage : 2.7355095814089987 V\n", "PH2 : 0.18820659886282212 atm\n", "PH2O : 0.2316498475430817 atm\n", @@ -8528,13 +8528,7 @@ "I : 78.9\n", "E : 2.92218360750792 V\n", "FC Efficiency : 0.3435575674270679 \n", - "FC Power : 211.4321981459661 W\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Power : 211.4321981459661 W\n", "FC Voltage : 2.6797490259311294 V\n", "PH2 : 0.18609904162066387 atm\n", "PH2O : 0.22905580824380015 atm\n", @@ -9034,7 +9028,13 @@ "I : 83.9\n", "E : 2.9221040384630665 V\n", "FC Efficiency : 0.34122875110065953 \n", - "FC Power : 223.30691929529362 W\n", + "FC Power : 223.30691929529362 W\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "FC Voltage : 2.6615842585851444 V\n", "PH2 : 0.18539652253994446 atm\n", "PH2O : 0.22819112847737297 atm\n", @@ -10533,13 +10533,7 @@ "###########\n", "I : 98.9\n", "E : 2.9218642979772094 V\n", - "FC Efficiency : 0.334363735298155 \n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Efficiency : 0.334363735298155 \n", "FC Power : 257.9348726837028 W\n", "FC Voltage : 2.6080371353256093 V\n", "PH2 : 0.18328896529778624 atm\n", @@ -10646,7 +10640,13 @@ "PH2O : 0.22542415322480602 atm\n", "PO2 : 0.18270939611639 atm\n", "Power-Thermal : 354.19440008841076 W\n", - "###########\n", + "###########\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Done!\n" ] } @@ -10745,15 +10745,23 @@ "output_type": "stream", "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", - "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", - "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", - "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", - "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", - "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "You are using pip version 19.0.2, however version 19.0.3 is available.\n", + "You should consider upgrading via the 'python -m pip install --upgrade pip' command.\n" + ] } ], "source": [ diff --git a/otherfile/Version.rc b/otherfile/Version.rc index a40cf848..feae8825 100644 --- a/otherfile/Version.rc +++ b/otherfile/Version.rc @@ -1,7 +1,7 @@ VSVersionInfo( ffi=FixedFileInfo( - filevers=(0, 9, 0, 0), - prodvers=(0, 9, 0, 0), + filevers=(1, 0, 0, 0), + prodvers=(1, 0, 0, 0), mask=0x3f, flags=0x0, OS=0x40004, @@ -16,12 +16,12 @@ VSVersionInfo( u'040904B0', [StringStruct(u'CompanyName', u'ECSIM'), StringStruct(u'FileDescription', u'OPEM.exe'), - StringStruct(u'FileVersion', u'0.9.0.0'), + StringStruct(u'FileVersion', u'1.0.0.0'), StringStruct(u'InternalName', u'OPEM.exe'), - StringStruct(u'LegalCopyright', u'Copyright (c) 2018 ECSIM'), + StringStruct(u'LegalCopyright', u'Copyright (c) 2019 ECSIM'), StringStruct(u'OriginalFilename', u'OPEM.exe'), StringStruct(u'ProductName', u'OPEM'), - StringStruct(u'ProductVersion', u'0, 9, 0, 0')]) + StringStruct(u'ProductVersion', u'1, 0, 0, 0')]) ]), VarFileInfo([VarStruct(u'Translation', [1033, 1200])]) ] diff --git a/otherfile/test.csv b/otherfile/test.csv index 90a7f8f5..cfecdab7 100644 --- a/otherfile/test.csv +++ b/otherfile/test.csv @@ -39,3 +39,713 @@ I (A),Enernst (V),Eta Activation (V),Eta Concentration (V),Eta Ohmic (V),Loss (V 3.7,1.19075,0.3572144383935416,0.0007996262160448594,0.0065595961887805875,0.36457366079836706,0.5296002174369442,3.056852455046042,3.056852455046042,1.4941475449539583,0.8261763392016329,0.8261763392016329 3.8,1.19075,0.35898062172788664,0.0008218022417708932,0.0067391384790148525,0.3665415624486724,0.5283387420200818,3.1319920626950446,3.1319920626950446,1.5420079373049551,0.8242084375513276,0.8242084375513276 3.9,1.19075,0.36070092494262745,0.0008440090461684635,0.0069188029443421825,0.36846373693313805,0.527106578889014,3.2069164259607614,3.2069164259607614,1.5900835740392385,0.8222862630668619,0.8222862630668619 +4.0,1.19075,0.36237767146392064,0.0008662467147933317,0.0070985898820040945,0.37034250806071806,0.5259022384226165,3.2816299677571275,3.2816299677571275,1.6383700322428725,0.8204074919392819,0.8204074919392819 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Generated By OPEM Version 0.9

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Generated By OPEM Version 1.0

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0.5554364088392845 V +Eta Concentration : 0.05739966943475521 V +Eta Ohmic : 0.20055038027406144 V +Loss : 0.8133864585481011 V +PEM Efficiency : 0.2418997060589095 +Power : 27.849429359150136 W +Power-Stack : 27.849429359150136 W +Power-Thermal : 62.92457064084986 W +VStack : 0.3773635414518989 V +Vcell : 0.3773635414518989 V +########### +I :73.9 A + +Enernst : 1.19075 V +Eta Activation : 0.555526087864497 V +Eta Concentration : 0.058180312061466226 V +Eta Ohmic : 0.20100937950167944 V +Loss : 0.8147157794276426 V +PEM Efficiency : 0.24104757728997267 +Power : 27.78892890029721 W +Power-Stack : 27.78892890029721 W +Power-Thermal : 63.1080710997028 W +VStack : 0.37603422057235736 V +Vcell : 0.37603422057235736 V +########### +I :74.0 A + +Enernst : 1.19075 V +Eta Activation : 0.5556156456198617 V +Eta Concentration : 0.059001004771667004 V +Eta Ohmic : 0.20146923610276918 V +Loss : 0.8160858864942978 V +PEM Efficiency : 0.24016930352929625 +Power : 27.72514439942196 W +Power-Stack : 27.72514439942196 W +Power-Thermal : 63.29485560057804 W +VStack : 0.37466411350570217 V +Vcell : 0.37466411350570217 V +########### +I :74.1 A + +Enernst : 1.19075 V +Eta Activation : 0.5557050824329135 V +Eta Concentration : 0.05986608031199131 V +Eta Ohmic : 0.20192995199989816 V +Loss : 0.817501114744803 V +PEM Efficiency : 0.23926210593281855 +Power : 27.657742397410093 W +Power-Stack : 27.657742397410093 W +Power-Thermal : 63.4852576025899 W +VStack : 0.37324888525519695 V +Vcell : 0.37324888525519695 V +########### +I :74.2 A + +Enernst : 1.19075 V +Eta Activation : 0.5557943986298626 V +Eta Concentration : 0.06078061493343061 V +Eta Ohmic : 0.2023915291188977 V +Loss : 0.8189665426821908 V +PEM Efficiency : 0.23832272904987767 +Power : 27.58633253298144 W +Power-Stack : 27.58633253298144 W +Power-Thermal : 63.67966746701856 W +VStack : 0.37178345731780915 V +Vcell : 0.37178345731780915 V +########### +I :74.3 A + +Enernst : 1.19075 V +Eta Activation : 0.5558835945356011 V +Eta Concentration : 0.061750608882493535 V +Eta Ohmic : 0.20285396938886757 V +Loss : 0.8204881728069622 V +PEM Efficiency : 0.23734732512374218 +Power : 27.510453760442708 W +Power-Stack : 27.510453760442708 W +Power-Thermal : 63.87854623955729 W +VStack : 0.3702618271930378 V +Vcell : 0.3702618271930378 V +########### +I :74.4 A + +Enernst : 1.19075 V +Eta Activation : 0.5559726704737098 V +Eta Concentration : 0.06278322522069481 V +Eta Ohmic : 0.2033172747421816 V +Loss : 0.8220731704365862 V +PEM Efficiency : 0.2363313010021883 +Power : 27.429556119517983 W +Power-Stack : 27.429556119517983 W +Power-Thermal : 64.08244388048202 W +VStack : 0.36867682956341374 V +Vcell : 0.36867682956341374 V +########### +I :74.5 A + +Enernst : 1.19075 V +Eta Activation : 0.5560616267664661 V +Eta Concentration : 0.06388711116448591 V +Eta Ohmic : 0.20378144711449195 V +Loss : 0.8237301850454439 V +PEM Efficiency : 0.23526911215035642 +Power : 27.342976214114426 W +Power-Stack : 27.342976214114426 W +Power-Thermal : 64.29202378588558 W +VStack : 0.36701981495455605 V +Vcell : 0.36701981495455605 V +########### +I :74.6 A + +Enernst : 1.19075 V +Eta Activation : 0.5561504637348502 V +Eta Concentration : 0.06507283871894541 V +Eta Ohmic : 0.20424648844473495 V +Loss : 0.8254697908985306 V +PEM Efficiency : 0.23415398019324962 +Power : 27.249903598969617 W +Power-Stack : 27.249903598969617 W +Power-Thermal : 64.50809640103037 W +VStack : 0.3652802091014694 V +Vcell : 0.3652802091014694 V +########### +I :74.7 A + +Enernst : 1.19075 V +Eta Activation : 0.5562391816985526 V +Eta Concentration : 0.06635352204172205 V +Eta Ohmic : 0.20471240067513477 V +Loss : 0.8273051044154094 V +PEM Efficiency : 0.23297749716960936 +Power : 27.149333700168917 W +Power-Stack : 27.149333700168917 W +Power-Thermal : 64.73166629983109 W +VStack : 0.3634448955845906 V +Vcell : 0.3634448955845906 V +########### +I :74.8 A + +Enernst : 1.19075 V +Eta Activation : 0.5563277809759803 V +Eta Concentration : 0.06774570407355608 V +Eta Ohmic : 0.20517918575120941 V +Loss : 0.8292526708007458 V +PEM Efficiency : 0.23172905717900907 +Power : 27.040000224104208 W +Power-Stack : 27.040000224104208 W +Power-Thermal : 64.96399977589579 W +VStack : 0.36149732919925415 V +Vcell : 0.36149732919925415 V +########### +I :74.9 A + +Enernst : 1.19075 V +Eta Activation : 0.5564162618842647 V +Eta Concentration : 0.06927066695042548 V +Eta Ohmic : 0.20564684562177526 V +Loss : 0.8313337744564655 V +PEM Efficiency : 0.23039501637406054 +Power : 26.920275293210736 W +Power-Stack : 26.920275293210736 W +Power-Thermal : 65.20672470678927 W +VStack : 0.3594162255435345 V +Vcell : 0.3594162255435345 V +########### From dbc2051f0eac3a7a951191d73fdc7819726d5d2d Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 22 Feb 2019 16:11:23 +0330 Subject: [PATCH 161/204] doc : CHANGELOG updated --- CHANGELOG.md | 127 +++++++++++++++++++++++++++++---------------------- 1 file changed, 72 insertions(+), 55 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 17325b3c..2b9c19fa 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,116 +5,133 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/) and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html). ## [Unreleased] +## [1.0] - 2019-02-22 +### Added +- Interactive notebooks section +- `version_check.py` +- `CODE_OF_CONDUCT.md` +- `ISSUE_TEMPLATE.md` +- `PULL_REQUEST_TEMPLATE.md` + +### Changed +- Document modified +- `README.md` modified +- `dev-requirements.txt` modified +- `requirements.txt` modified +- `CONTRIBUTING.md` modified +- `linear_plot` function bug fixed + ## [0.9] - 2018-07-14 ### Added - JOSS paper ### Changed -- Test System Updated -- setup File Modified -- Exceptions Modified +- Test system updated +- `setup.py` file modified +- Exceptions modified ### Removed - `PEM.md` ## [0.8] - 2018-04-10 ### Added -- Overall Parameters -- Linear Approximation -- Power(Thermal) Parameter -- Efficiency vs I Plot -- PH2 vs I Plot -- PO2 vs I Plot -- Power vs Efficiency Plot -- Loss vs I Plot -- Power(Thermal) vs I Plot -- macOS Version +- Overall parameters +- Linear approximation +- Power-Thermal parameter +- Efficiency vs I plot +- PH2 vs I plot +- PO2 vs I plot +- Power vs Efficiency plot +- Loss vs I plot +- Power-Thermal vs I plot +- macOS version ### Changed -- Simulation Error Response +- Simulation error response ## [0.7] - 2018-03-17 ### Added -- Standard Test Vectors -- Model Description -- Help Page -- Warning System -- System Block Diagram +- Standard test vectors +- Model description +- Help page +- Warning system +- System block diagram ### Changed -- HTML Report Layout +- HTML report layout ## [0.6] - 2018-03-1 ### Added -- Padulles-Amphlett Dynamic Model -- Check Update Function -- Webpage Document Section +- Padulles-Amphlett dynamic model +- `check_update` function +- Webpage document section ### Changed -- Get_Input Function Default Params -- Exe-File Incompatibility Fixed +- Get_Input function default params +- Exe-File incompatibility fixed ## [0.5] - 2018-02-16 ### Added -- Padulles-Hauer Dynamic Model -- Simulation Name -- Interactive HTML Report +- Padulles-Hauer dynamic model +- Simulation name +- Interactive HTML report ### Changed -- qH2O And qH2 In Padulles Dynamic Model 2 Merged -- Static Analysis Function Output -- Dynamic Analysis Function Output -- ReportMode & PrintMode Flags +- qH2O and qH2 in Padulles dynamic model 2 merged +- `Static_Analysis` function output +- `Dynamic_Analysis` function output +- `ReportMode` & `PrintMode` flags ## [0.4] - 2018-02-06 ### Added -- Test Case Of Padullas Model 2 -- Padulles Dynamic Model 2 +- Test case of Padullas model 2 +- Padulles dynamic model 2 ### Changed -- Travis And Appveyor Configs -- Jupyter Notebook Documentation +- Travis and Appveyor configs +- Jupyter notebook documentation ### Removed -- RHO In Larmninee Model +- RHO in Larmninee model ## [0.3] - 2018-01-31 ### Added -- Padulles Dynamic Model 1 -- GUI Folder +- Padulles dynamic model 1 +- GUI folder ### Changed -- Test Cases For Static Models -- Padullas Refactored -- Jupyter Notebook Padullas +- Test cases for static models +- Padulles refactored +- Jupyter notebook Padulles ## [0.2] - 2018-01-05 ### Added -- Test Case And CI -- Jupyter Notebook And Documentation +- Test case and CI +- Jupyter notebook and documentation - exe-version - Badges -- Larminie-Dicks Static Model -- Chamberline-Kim Static Model -- pyqt5 To Requirments +- Larminie-Dicks static model +- Chamberline-Kim static model +- pyqt5 to requirments ### Removed -- python2.7 Setup For pyQt +- python2.7 setup for pyqt ### Changed - - Style To PEP8 - - Power Stack + - Style to PEP8 + - Stack power ## [0.1] - 2017-12-25 ### Added -- Static Analyze Prototype -- Amphlett Analyze -- CSV Output Files -- Documents And README +- `Static_Analyze` prototype +- Amphlett analyze +- CSV output files +- Documents and `README.md` -[Unreleased]: https://github.com/ECSIM/opem/compare/v0.9...HEAD +[Unreleased]: https://github.com/ECSIM/opem/compare/v1.0...develop +[1.0]: https://github.com/ECSIM/opem/compare/v0.9...v1.0 [0.9]: https://github.com/ECSIM/opem/compare/v0.8...v0.9 [0.8]: https://github.com/ECSIM/opem/compare/v0.7...v0.8 [0.7]: https://github.com/ECSIM/opem/compare/v0.6...v0.7 From 9e2b99fb9489728e41d56276d934a23078d34efa Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 22 Feb 2019 16:13:59 +0330 Subject: [PATCH 162/204] doc : INSTALL.md modified --- INSTALL.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/INSTALL.md b/INSTALL.md index ca3ed6a4..cb058639 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -19,19 +19,19 @@ ### Exe Version (Only Windows) - Download [Exe-Version 1.0](https://www.dropbox.com/s/if22p5mofl7s2oh/OPEM%28v0.9%29.zip?dl=00) -- Extract Zip File +- Extract Zip file - Run `OPEM.exe` ### DMG Version (MacOS) - Download [DMG-Version 1.0](https://www.dropbox.com/s/86f25jvciq2g7qf/OPEM%28v0.9%29.dmg?dl=0) -- Open DMG File +- Open DMG file - Copy `OPEM` into your system - Run `OPEM` ### Exe Version Note -For OPEM <= 0.5 targeting Windows < 10, the user needs to take special care to include the Visual C++ run-time .dlls: Python 3.5 uses Visual Studio 2015 run-time, which has been renamed into “Universal CRT“ and has become part of Windows 10. For Windows Vista through Windows 8.1 there are Windows Update packages, which may or may not be installed in the target-system. So you have the following options: +For OPEM <= 0.5 targeting Windows < 10, the user needs to take special care to include the Visual C++ run-time .dlls: Python 3.5 uses Visual Studio 2015 run-time, which has been renamed into “Universal CRT“ and has become part of Windows 10. For Windows Vista through Windows 8.1 there are Windows update packages, which may or may not be installed in the target-system. So you have the following options: 1. Download OPEM >= 0.6 (Recommended) 2. Download and install [Visual C++ Redistributable for Visual Studio 2015](https://www.microsoft.com/en-us/download/details.aspx?id=48145) \ No newline at end of file From a629e6051d5ef8f48e52a9b0185c3d34196b5f40 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 22 Feb 2019 16:14:24 +0330 Subject: [PATCH 163/204] doc : CHANGELOG updated --- CHANGELOG.md | 1 + 1 file changed, 1 insertion(+) diff --git a/CHANGELOG.md b/CHANGELOG.md index 2b9c19fa..98000273 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -20,6 +20,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0. - `requirements.txt` modified - `CONTRIBUTING.md` modified - `linear_plot` function bug fixed +- `INSTALL.md` modified ## [0.9] - 2018-07-14 ### Added From f51bdeea4c77226ef7d50d9ff524da96f0140c3a Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 22 Feb 2019 16:36:05 +0330 Subject: [PATCH 164/204] fix : version_check updated --- version_check.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/version_check.py b/version_check.py index d3abb265..669c3ae2 100644 --- a/version_check.py +++ b/version_check.py @@ -19,7 +19,7 @@ "[DMG-Version {0}]"] CHANGELOG_ITEMS = [ "## [{0}]", - "https://github.com/ECSIM/opem/compare/v{0}...HEAD", + "https://github.com/ECSIM/opem/compare/v{0}...develop", "[{0}]:"] DOCUMENT_ITEMS = [ "### Version {0}"] From 15cf07a37deba815fef8f9c84a63d92bd65fe8f5 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 22 Feb 2019 16:36:51 +0330 Subject: [PATCH 165/204] doc : CHANGELOG minor edit --- CHANGELOG.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 98000273..ba442655 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -38,7 +38,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0. ### Added - Overall parameters - Linear approximation -- Power-Thermal parameter +- Thermal power parameter - Efficiency vs I plot - PH2 vs I plot - PO2 vs I plot From ccd084cf064679824ead1dd4b53b4899249e9304 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 22 Feb 2019 16:39:29 +0330 Subject: [PATCH 166/204] doc : CHANGELOG minor edit --- CHANGELOG.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index ba442655..2fc109d2 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -68,7 +68,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0. - Webpage document section ### Changed -- Get_Input function default params +- `Get_Input` function default params - Exe-File incompatibility fixed @@ -85,7 +85,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0. ## [0.4] - 2018-02-06 ### Added -- Test case of Padullas model 2 +- Test case of Padulles model 2 - Padulles dynamic model 2 @@ -111,7 +111,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0. ### Added - Test case and CI - Jupyter notebook and documentation -- exe-version +- Exe-Version - Badges - Larminie-Dicks static model - Chamberline-Kim static model From ee804350436e8c707a3aa0de9dad95b21e338704 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 22 Feb 2019 18:07:32 +0330 Subject: [PATCH 167/204] fix : Report_Message added --- opem/Dynamic/Padulles1.py | 8 +++++--- opem/Dynamic/Padulles2.py | 8 +++++--- opem/Dynamic/Padulles_Amphlett.py | 8 +++++--- opem/Dynamic/Padulles_Hauer.py | 8 +++++--- opem/Params.py | 1 + opem/Static/Amphlett.py | 8 +++++--- opem/Static/Chamberline_Kim.py | 8 +++++--- opem/Static/Larminie_Dicks.py | 8 +++++--- 8 files changed, 36 insertions(+), 21 deletions(-) diff --git a/opem/Dynamic/Padulles1.py b/opem/Dynamic/Padulles1.py index 9f046239..08376158 100644 --- a/opem/Dynamic/Padulles1.py +++ b/opem/Dynamic/Padulles1.py @@ -2,7 +2,7 @@ import math from opem.Params import Padulles_InputParams as InputParams from opem.Params import Padulles_Outparams as OutputParams -from opem.Params import R, F, uF, HHV, Padulles_Description, Overall_Params_Max_Description, Overall_Params_Linear_Description +from opem.Params import R, F, uF, HHV, Padulles_Description, Overall_Params_Max_Description, Overall_Params_Linear_Description, Report_Message from opem.Static.Amphlett import Power_Calc, Power_Thermal_Calc, Power_Total_Calc, Linear_Aprox_Params_Calc, Max_Params_Calc import opem.Functions import os @@ -289,6 +289,10 @@ def Dynamic_Analysis( Overall_Params_Max["Ptotal(Elec)"] = Power_Total[0] Overall_Params_Max["Ptotal(Thermal)"] = Power_Total[1] if ReportMode: + OutputFile.close() + CSVFile.close() + if PrintMode: + print(Report_Message) opem.Functions.HTML_Desc( Simulation_Title, Padulles_Description, HTMLFile) opem.Functions.HTML_Input_Table( @@ -371,8 +375,6 @@ def Dynamic_Analysis( file=HTMLFile, PrintMode=PrintMode) opem.Functions.HTML_End(HTMLFile) - OutputFile.close() - CSVFile.close() HTMLFile.close() if PrintMode: print("Done!") diff --git a/opem/Dynamic/Padulles2.py b/opem/Dynamic/Padulles2.py index 575342de..345c4f2b 100644 --- a/opem/Dynamic/Padulles2.py +++ b/opem/Dynamic/Padulles2.py @@ -2,7 +2,7 @@ import math from opem.Params import Padulles2_InputParams as InputParams from opem.Params import Padulles2_Outparams as OutputParams -from opem.Params import R, F, Padulles2_Description, Overall_Params_Max_Description, Overall_Params_Linear_Description +from opem.Params import R, F, Padulles2_Description, Overall_Params_Max_Description, Overall_Params_Linear_Description, Report_Message from opem.Static.Amphlett import Power_Calc, Power_Thermal_Calc, Power_Total_Calc, Linear_Aprox_Params_Calc, Max_Params_Calc from opem.Dynamic.Padulles1 import PH2_Calc, PO2_Calc, Kr_Calc, Vcell_Calc, qO2_Calc, Efficiency_Calc import opem.Functions @@ -201,6 +201,10 @@ def Dynamic_Analysis( Overall_Params_Max["Ptotal(Elec)"] = Power_Total[0] Overall_Params_Max["Ptotal(Thermal)"] = Power_Total[1] if ReportMode: + OutputFile.close() + CSVFile.close() + if PrintMode: + print(Report_Message) opem.Functions.HTML_Desc( Simulation_Title, Padulles2_Description, HTMLFile) opem.Functions.HTML_Input_Table( @@ -292,8 +296,6 @@ def Dynamic_Analysis( file=HTMLFile, PrintMode=PrintMode) opem.Functions.HTML_End(HTMLFile) - OutputFile.close() - CSVFile.close() HTMLFile.close() if PrintMode: print("Done!") diff --git a/opem/Dynamic/Padulles_Amphlett.py b/opem/Dynamic/Padulles_Amphlett.py index 0e855f81..296f5bb3 100644 --- a/opem/Dynamic/Padulles_Amphlett.py +++ b/opem/Dynamic/Padulles_Amphlett.py @@ -7,7 +7,7 @@ from opem.Dynamic.Padulles2 import Enernst_Calc, PH2O_Calc from opem.Dynamic.Padulles_Hauer import qH2_Calc import opem.Functions -from opem.Params import Padulles_Amphlett_Description, Overall_Params_Max_Description, Overall_Params_Linear_Description +from opem.Params import Padulles_Amphlett_Description, Overall_Params_Max_Description, Overall_Params_Linear_Description,Report_Message import os @@ -200,6 +200,10 @@ def Dynamic_Analysis( Overall_Params_Max["Ptotal(Elec)"] = Power_Total[0] Overall_Params_Max["Ptotal(Thermal)"] = Power_Total[1] if ReportMode: + OutputFile.close() + CSVFile.close() + if PrintMode: + print(Report_Message) opem.Functions.HTML_Desc( Simulation_Title, Padulles_Amphlett_Description, @@ -307,8 +311,6 @@ def Dynamic_Analysis( file=HTMLFile, PrintMode=PrintMode) opem.Functions.HTML_End(HTMLFile) - OutputFile.close() - CSVFile.close() HTMLFile.close() if PrintMode: print("Done!") diff --git a/opem/Dynamic/Padulles_Hauer.py b/opem/Dynamic/Padulles_Hauer.py index fa86d5ed..f1e57b9f 100644 --- a/opem/Dynamic/Padulles_Hauer.py +++ b/opem/Dynamic/Padulles_Hauer.py @@ -5,7 +5,7 @@ from opem.Dynamic.Padulles1 import PH2_Calc, PO2_Calc, Kr_Calc, Vcell_Calc, qO2_Calc, Efficiency_Calc from opem.Dynamic.Padulles2 import Enernst_Calc, PH2O_Calc import opem.Functions -from opem.Params import Padulles_Hauer_Description, Overall_Params_Max_Description, Overall_Params_Linear_Description +from opem.Params import Padulles_Hauer_Description, Overall_Params_Max_Description, Overall_Params_Linear_Description, Report_Message import os @@ -176,6 +176,10 @@ def Dynamic_Analysis( Overall_Params_Max["Ptotal(Elec)"] = Power_Total[0] Overall_Params_Max["Ptotal(Thermal)"] = Power_Total[1] if ReportMode: + OutputFile.close() + CSVFile.close() + if PrintMode: + print(Report_Message) opem.Functions.HTML_Desc( Simulation_Title, Padulles_Hauer_Description, @@ -269,8 +273,6 @@ def Dynamic_Analysis( file=HTMLFile, PrintMode=PrintMode) opem.Functions.HTML_End(HTMLFile) - OutputFile.close() - CSVFile.close() HTMLFile.close() if PrintMode: print("Done!") diff --git a/opem/Params.py b/opem/Params.py index 8f8f399d..d7e776f1 100644 --- a/opem/Params.py +++ b/opem/Params.py @@ -18,6 +18,7 @@ Warning_Message_1 = "Warning : The value of I(>{}) leads to minus amount of V, please check your inputs" Warning_Message_2 = "Warning : There are errors in the simulations in some of I amounts; please refer to the .opem file" \ " for review. If you are confident about this parameters, ignore this error." +Report_Message = "Report is generating ..." HHV = 1.482 uF = 0.95 n = 8 * (10 ** -3) diff --git a/opem/Static/Amphlett.py b/opem/Static/Amphlett.py index 2e9265f0..ea4e7e1a 100644 --- a/opem/Static/Amphlett.py +++ b/opem/Static/Amphlett.py @@ -4,7 +4,7 @@ from opem.Params import Amphlett_OutputParams as OutputParams from opem.Params import Amphlett_Params_Default as Defaults from opem.Params import xi1, xi3, xi4, HHV, uF, Amphlett_Description, Overall_Params_Max_Description,\ - Overall_Params_Linear_Description, Eth + Overall_Params_Linear_Description, Eth, Report_Message import opem.Functions import os @@ -550,6 +550,10 @@ def Static_Analysis( Overall_Params_Max["Ptotal(Elec)"] = Power_Total[0] Overall_Params_Max["Ptotal(Thermal)"] = Power_Total[1] if ReportMode: + OutputFile.close() + CSVFile.close() + if PrintMode: + print(Report_Message) opem.Functions.HTML_Desc( Simulation_Title, Amphlett_Description, HTMLFile) opem.Functions.HTML_Input_Table( @@ -630,8 +634,6 @@ def Static_Analysis( file=HTMLFile, PrintMode=PrintMode) opem.Functions.HTML_End(HTMLFile) - OutputFile.close() - CSVFile.close() HTMLFile.close() if PrintMode: print("Done!") diff --git a/opem/Static/Chamberline_Kim.py b/opem/Static/Chamberline_Kim.py index 39a8545b..23517b0d 100644 --- a/opem/Static/Chamberline_Kim.py +++ b/opem/Static/Chamberline_Kim.py @@ -4,7 +4,7 @@ from opem.Params import Chamberline_OutputParams as OutputParams from opem.Static.Amphlett import Efficiency_Calc, Power_Calc, VStack_Calc, PowerStack_Calc, Power_Thermal_Calc, Power_Total_Calc, Linear_Aprox_Params_Calc, Max_Params_Calc import opem.Functions -from opem.Params import Chamberline_Description, Overall_Params_Max_Description, Overall_Params_Linear_Description +from opem.Params import Chamberline_Description, Overall_Params_Max_Description, Overall_Params_Linear_Description, Report_Message import os @@ -164,6 +164,10 @@ def Static_Analysis( Overall_Params_Max["Ptotal(Elec)"] = Power_Total[0] Overall_Params_Max["Ptotal(Thermal)"] = Power_Total[1] if ReportMode: + OutputFile.close() + CSVFile.close() + if PrintMode: + print(Report_Message) opem.Functions.HTML_Desc( Simulation_Title, Chamberline_Description, HTMLFile) opem.Functions.HTML_Input_Table( @@ -228,8 +232,6 @@ def Static_Analysis( file=HTMLFile, PrintMode=PrintMode) opem.Functions.HTML_End(HTMLFile) - OutputFile.close() - CSVFile.close() HTMLFile.close() if PrintMode: print("Done!") diff --git a/opem/Static/Larminie_Dicks.py b/opem/Static/Larminie_Dicks.py index de762f6f..a28d5259 100644 --- a/opem/Static/Larminie_Dicks.py +++ b/opem/Static/Larminie_Dicks.py @@ -4,7 +4,7 @@ from opem.Params import Larminiee_InputParams as InputParams from opem.Params import Larminiee_OutputParams as OutputParams import opem.Functions -from opem.Params import Larminiee_Description, Overall_Params_Max_Description, Overall_Params_Linear_Description +from opem.Params import Larminiee_Description, Overall_Params_Max_Description, Overall_Params_Linear_Description,Report_Message import os @@ -166,6 +166,10 @@ def Static_Analysis( Overall_Params_Max["Ptotal(Elec)"] = Power_Total[0] Overall_Params_Max["Ptotal(Thermal)"] = Power_Total[1] if ReportMode: + OutputFile.close() + CSVFile.close() + if PrintMode: + print(Report_Message) opem.Functions.HTML_Desc( Simulation_Title, Larminiee_Description, HTMLFile) opem.Functions.HTML_Input_Table( @@ -230,8 +234,6 @@ def Static_Analysis( file=HTMLFile, PrintMode=PrintMode) opem.Functions.HTML_End(HTMLFile) - OutputFile.close() - CSVFile.close() HTMLFile.close() if PrintMode: print("Done!") From 423d5c02c10da15ca07f67b82275af5de3fd7d76 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 22 Feb 2019 18:10:00 +0330 Subject: [PATCH 168/204] doc : test files updated --- opem/Test/test_Amphlett.py | 1 + opem/Test/test_Chamberline_Kim.py | 1 + opem/Test/test_Larminie_Dicks.py | 1 + opem/Test/test_Padulles1.py | 1 + opem/Test/test_Padulles2.py | 1 + opem/Test/test_Padulles_Amphlett.py | 1 + opem/Test/test_Padulles_Hauer.py | 1 + 7 files changed, 7 insertions(+) diff --git a/opem/Test/test_Amphlett.py b/opem/Test/test_Amphlett.py index 6e05651c..2b20f1eb 100644 --- a/opem/Test/test_Amphlett.py +++ b/opem/Test/test_Amphlett.py @@ -607,6 +607,7 @@ VStack : 0.8222862630668619 V Vcell : 0.8222862630668619 V ########### +Report is generating ... Done! >>> shutil.rmtree("Amphlett") diff --git a/opem/Test/test_Chamberline_Kim.py b/opem/Test/test_Chamberline_Kim.py index eec52886..c383e054 100644 --- a/opem/Test/test_Chamberline_Kim.py +++ b/opem/Test/test_Chamberline_Kim.py @@ -262,6 +262,7 @@ VStack : 1.1319218672996567 V Vcell : 1.1319218672996567 V ########### +Report is generating ... Done! >>> shutil.rmtree("Chamberline-Kim") diff --git a/opem/Test/test_Larminie_Dicks.py b/opem/Test/test_Larminie_Dicks.py index 6602ce0d..e4eda871 100644 --- a/opem/Test/test_Larminie_Dicks.py +++ b/opem/Test/test_Larminie_Dicks.py @@ -335,6 +335,7 @@ VStack : 18.167291473272865 V Vcell : 0.7898822379683854 V ########### +Report is generating ... Done! >>> shutil.rmtree("Larminie-Dicks") diff --git a/opem/Test/test_Padulles1.py b/opem/Test/test_Padulles1.py index c60f1506..eddd02d2 100644 --- a/opem/Test/test_Padulles1.py +++ b/opem/Test/test_Padulles1.py @@ -371,6 +371,7 @@ PO2 : 2.0915322161021423 atm Power-Thermal : 209.9389930587172 W ########### +Report is generating ... Warning : There are errors in the simulations in some of I amounts; please refer to the .opem file for review. If you are confident about this parameters, ignore this error. Done! >>> Padulles_I_Data=Dynamic_Analysis(InputMethod={}, TestMode=True,PrintMode=False) diff --git a/opem/Test/test_Padulles2.py b/opem/Test/test_Padulles2.py index a5505828..a619d21f 100644 --- a/opem/Test/test_Padulles2.py +++ b/opem/Test/test_Padulles2.py @@ -398,6 +398,7 @@ PO2 : 2.0966679355517246 atm Power-Thermal : 11.737141578735665 W ########### +Report is generating ... Done! >>> Enernst_Calc(E0=None,N0=0,T=1, PH2=2.1, PO2=2.1,PH2O=2.1) [Error] Enernst Calculation Failed (E0:None, N0:0, T:1, PH2:2.1, PO2:2.1, PH2O:2.1) diff --git a/opem/Test/test_Padulles_Amphlett.py b/opem/Test/test_Padulles_Amphlett.py index d53b9424..7c3c8313 100644 --- a/opem/Test/test_Padulles_Amphlett.py +++ b/opem/Test/test_Padulles_Amphlett.py @@ -554,6 +554,7 @@ PO2 : 0.19032492078676233 atm Power-Thermal : 8.819465079445965 W ########### +Report is generating ... Done! >>> Padulles_Amphlett_Data=Dynamic_Analysis(InputMethod={}, TestMode=True, PrintMode=False) >>> Padulles_Amphlett_Data["Status"] diff --git a/opem/Test/test_Padulles_Hauer.py b/opem/Test/test_Padulles_Hauer.py index 315c8fac..3c347058 100644 --- a/opem/Test/test_Padulles_Hauer.py +++ b/opem/Test/test_Padulles_Hauer.py @@ -398,6 +398,7 @@ PO2 : 0.19032492078676233 atm Power-Thermal : 12.082876212203196 W ########### +Report is generating ... Done! >>> Padulles_Hauer_Data=Dynamic_Analysis(InputMethod={}, TestMode=True,PrintMode=False) >>> Padulles_Hauer_Data["Status"] From 70f9be62032941fd128561e4337422ed6193da32 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 22 Feb 2019 18:17:13 +0330 Subject: [PATCH 169/204] doc : notebooks regenerated --- Documents/Amphlett.ipynb | 79 ++++++++-------- Documents/Amphlett/Amphlett_Test.opem | 2 +- .../Chamberline-Kim/Chamberline_Test.opem | 2 +- Documents/Chamberline_Kim.ipynb | 25 +++--- Documents/Larminie-Dicks/Larminiee_Test.opem | 2 +- Documents/Larminie_Dicks.ipynb | 9 +- .../Padulles_Amphlett_Test.opem | 2 +- .../Padulles-Hauer/Padulles_Hauer_Test.opem | 2 +- Documents/Padulles-I/PadullesI_Test.opem | 2 +- Documents/Padulles-II/Padulles2_Test.opem | 2 +- Documents/Padulles1.ipynb | 57 ++++++------ Documents/Padulles2.ipynb | 27 +++--- Documents/Padulles_Amphlett.ipynb | 27 +++--- Documents/Padulles_Hauer.ipynb | 89 ++++++++++--------- 14 files changed, 170 insertions(+), 157 deletions(-) diff --git a/Documents/Amphlett.ipynb b/Documents/Amphlett.ipynb index 2eb34985..668cd060 100644 --- a/Documents/Amphlett.ipynb +++ b/Documents/Amphlett.ipynb @@ -2924,7 +2924,13 @@ "Power-Thermal : 8.493335953702141 W\n", "VStack : 0.7024636053601154 V\n", "Vcell : 0.7024636053601154 V\n", - "###########\n", + "###########\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "I : 16.2\n", "Enernst : 1.19075 V\n", "Eta Activation : 0.45501182313078914 V\n", @@ -3161,13 +3167,7 @@ "###########\n", "I : 18.0\n", "Enernst : 1.19075 V\n", - "Eta Activation : 0.4619896340937498 V\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Eta Activation : 0.4619896340937498 V\n", "Eta Concentration : 0.004331188797162155 V\n", "Eta Ohmic : 0.033657389798262084 V\n", "Loss : 0.4999782126891741 V\n", @@ -4665,7 +4665,13 @@ "Eta Activation : 0.49470746697174134 V\n", "Eta Concentration : 0.007873875602709995 V\n", "Eta Ohmic : 0.05818741474966191 V\n", - "Loss : 0.5607687573241132 V\n", + "Loss : 0.5607687573241132 V\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "PEM Efficiency : 0.4038341299204402 \n", "Power : 18.58444665893866 W\n", "Power-Stack : 18.58444665893866 W\n", @@ -5167,13 +5173,7 @@ "VStack : 0.6117572515954978 V\n", "Vcell : 0.6117572515954978 V\n", "###########\n", - "I : 33.4\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "I : 33.4\n", "Enernst : 1.19075 V\n", "Eta Activation : 0.5029307025466467 V\n", "Eta Concentration : 0.00927860173553941 V\n", @@ -6172,7 +6172,13 @@ "Power-Stack : 23.595548949831908 W\n", "Power-Thermal : 26.83445105016809 W\n", "VStack : 0.5755011938983392 V\n", - "Vcell : 0.5755011938983392 V\n", + "Vcell : 0.5755011938983392 V\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "###########\n", "I : 41.1\n", "Enernst : 1.19075 V\n", @@ -7172,13 +7178,7 @@ "Power : 26.228880075271483 W\n", "Power-Stack : 26.228880075271483 W\n", "Power-Thermal : 33.67211992472852 W\n", - "VStack : 0.5385806996975664 V\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "VStack : 0.5385806996975664 V\n", "Vcell : 0.5385806996975664 V\n", "###########\n", "I : 48.8\n", @@ -8178,7 +8178,13 @@ "PEM Efficiency : 0.3200219430388025 \n", "Power : 28.156810636325996 W\n", "Power-Stack : 28.156810636325996 W\n", - "Power-Thermal : 41.215189363674 W\n", + "Power-Thermal : 41.215189363674 W\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "VStack : 0.4992342311405319 V\n", "Vcell : 0.4992342311405319 V\n", "###########\n", @@ -9178,13 +9184,7 @@ "Loss : 0.7356984368369386 V\n", "PEM Efficiency : 0.2916997199763214 \n", "Power : 29.16880519875223 W\n", - "Power-Stack : 29.16880519875223 W\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Power-Stack : 29.16880519875223 W\n", "Power-Thermal : 49.67419480124776 W\n", "VStack : 0.4550515631630614 V\n", "Vcell : 0.4550515631630614 V\n", @@ -10134,7 +10134,13 @@ "PEM Efficiency : 0.25801990173588574 \n", "Power : 28.739288734949902 W\n", "Power-Stack : 28.739288734949902 W\n", - "Power-Thermal : 59.08271126505011 W\n", + "Power-Thermal : 59.08271126505011 W\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "VStack : 0.40251104670798177 V\n", "Vcell : 0.40251104670798177 V\n", "###########\n", @@ -10592,7 +10598,8 @@ "Power-Thermal : 65.20672470678927 W\n", "VStack : 0.3594162255435345 V\n", "Vcell : 0.3594162255435345 V\n", - "###########\n" + "###########\n", + "Report is generating ...\n" ] }, { @@ -10697,13 +10704,13 @@ "output_type": "stream", "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", - "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", - "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] }, diff --git a/Documents/Amphlett/Amphlett_Test.opem b/Documents/Amphlett/Amphlett_Test.opem index 4ee53aa2..45ba0f8d 100644 --- a/Documents/Amphlett/Amphlett_Test.opem +++ b/Documents/Amphlett/Amphlett_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-22 15:47:51.869014 +Simulation Date : 2019-02-22 18:14:50.082164 ********** Amphlett Model diff --git a/Documents/Chamberline-Kim/Chamberline_Test.opem b/Documents/Chamberline-Kim/Chamberline_Test.opem index 3c94f702..a5c7f2a6 100644 --- a/Documents/Chamberline-Kim/Chamberline_Test.opem +++ b/Documents/Chamberline-Kim/Chamberline_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-22 15:48:18.304248 +Simulation Date : 2019-02-22 18:15:06.881226 ********** Chamberline-Kim Model diff --git a/Documents/Chamberline_Kim.ipynb b/Documents/Chamberline_Kim.ipynb index 2e918313..a6b93fca 100644 --- a/Documents/Chamberline_Kim.ipynb +++ b/Documents/Chamberline_Kim.ipynb @@ -2884,7 +2884,13 @@ "Vcell : 0.7625933754626701 V\n", "###########\n", "I : 31.4\n", - "PEM Efficiency : 0.4877136025324792 \n", + "PEM Efficiency : 0.4877136025324792 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Power : 23.89016310645096 W\n", "Power-Stack : 23.89016310645096 W\n", "Power-Thermal : 14.731836893549037 W\n", @@ -2941,13 +2947,7 @@ "###########\n", "I : 32.1\n", "PEM Efficiency : 0.47951315612463496 \n", - "Power : 24.012100806097223 W\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Power : 24.012100806097223 W\n", "Power-Stack : 24.012100806097223 W\n", "Power-Thermal : 15.470899193902778 W\n", "VStack : 0.7480405235544306 V\n", @@ -3776,7 +3776,8 @@ "Power-Thermal : 37.84225994029758 W\n", "VStack : 0.3374938693326041 V\n", "Vcell : 0.3374938693326041 V\n", - "###########\n" + "###########\n", + "Report is generating ...\n" ] }, { @@ -3881,13 +3882,13 @@ "output_type": "stream", "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", - "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", - "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", - "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] }, diff --git a/Documents/Larminie-Dicks/Larminiee_Test.opem b/Documents/Larminie-Dicks/Larminiee_Test.opem index 9dd0cccb..c6f47a7b 100644 --- a/Documents/Larminie-Dicks/Larminiee_Test.opem +++ b/Documents/Larminie-Dicks/Larminiee_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-22 15:48:43.997950 +Simulation Date : 2019-02-22 18:15:23.916245 ********** Larminie-Dicks Model diff --git a/Documents/Larminie_Dicks.ipynb b/Documents/Larminie_Dicks.ipynb index d37c4c1c..22f8d591 100644 --- a/Documents/Larminie_Dicks.ipynb +++ b/Documents/Larminie_Dicks.ipynb @@ -8295,7 +8295,8 @@ "Power-Thermal : 2249.056530650319 W\n", "VStack : 5.317001729823098 V\n", "Vcell : 0.23117398825317817 V\n", - "###########\n" + "###########\n", + "Report is generating ...\n" ] }, { @@ -8400,13 +8401,13 @@ "output_type": "stream", "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", - "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", - "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", - "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] }, diff --git a/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.opem b/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.opem index e1fe7815..8b7b92f3 100644 --- a/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.opem +++ b/Documents/Padulles-Amphlett/Padulles_Amphlett_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-22 15:49:55.523280 +Simulation Date : 2019-02-22 18:16:13.540647 ********** Padulles-Amphlett Model diff --git a/Documents/Padulles-Hauer/Padulles_Hauer_Test.opem b/Documents/Padulles-Hauer/Padulles_Hauer_Test.opem index 0f67a255..d9559d00 100644 --- a/Documents/Padulles-Hauer/Padulles_Hauer_Test.opem +++ b/Documents/Padulles-Hauer/Padulles_Hauer_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-22 15:50:48.240685 +Simulation Date : 2019-02-22 18:16:25.053849 ********** Padulles-Hauer Model diff --git a/Documents/Padulles-I/PadullesI_Test.opem b/Documents/Padulles-I/PadullesI_Test.opem index 4d68b69c..a631debe 100644 --- a/Documents/Padulles-I/PadullesI_Test.opem +++ b/Documents/Padulles-I/PadullesI_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-22 15:49:11.600773 +Simulation Date : 2019-02-22 18:15:40.354252 ********** Padulles-I Model diff --git a/Documents/Padulles-II/Padulles2_Test.opem b/Documents/Padulles-II/Padulles2_Test.opem index 390b5d59..a7d41431 100644 --- a/Documents/Padulles-II/Padulles2_Test.opem +++ b/Documents/Padulles-II/Padulles2_Test.opem @@ -4,7 +4,7 @@ | |_| || |_) || __/| | | | | | \___/ | .__/ \___||_| |_| |_| |_| -Simulation Date : 2019-02-22 15:49:34.211418 +Simulation Date : 2019-02-22 18:16:00.433020 ********** Padulles-II Model diff --git a/Documents/Padulles1.ipynb b/Documents/Padulles1.ipynb index 3024eaf8..44d6cf6c 100644 --- a/Documents/Padulles1.ipynb +++ b/Documents/Padulles1.ipynb @@ -4926,7 +4926,13 @@ "PH2 : 2.0495932358309865 atm\n", "PO2 : 2.029541845285311 atm\n", "Power-Thermal : 2616.5407165960182 W\n", - "###########\n", + "###########\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "I : 48.4\n", "E : 54.19338616915926 V\n", "FC Efficiency : 0.3938425910455669 \n", @@ -4968,13 +4974,7 @@ "FC Efficiency : 0.3938250209759464 \n", "FC Power : 2638.337785323403 W\n", "FC Voltage : 54.064298879577926 V\n", - "PH2 : 2.0483568022489207 atm\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "PH2 : 2.0483568022489207 atm\n", "PO2 : 2.0288437555238605 atm\n", "Power-Thermal : 2643.774214676597 W\n", "###########\n", @@ -6473,7 +6473,13 @@ "Power-Thermal : 3549.505523243441 W\n", "###########\n", "I : 65.5\n", - "E : 54.15857485807683 V\n", + "E : 54.15857485807683 V\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "FC Efficiency : 0.3931063065154469 \n", "FC Power : 3534.749011177856 W\n", "FC Voltage : 53.96563375844055 V\n", @@ -7029,13 +7035,7 @@ "PH2 : 1.9919754309067033 atm\n", "PO2 : 1.997010862401704 atm\n", "Power-Thermal : 3888.5732050888155 W\n", - "###########\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "###########\n", "I : 71.7\n", "E : 54.14578921569111 V\n", "FC Efficiency : 0.39284485553872145 \n", @@ -8479,7 +8479,13 @@ "I : 87.7\n", "E : 54.11237830194323 V\n", "FC Efficiency : 0.39217823782406486 \n", - "FC Power : 4721.612638440365 W\n", + "FC Power : 4721.612638440365 W\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "FC Voltage : 53.83822848848762 V\n", "PH2 : 1.9521622695641725 atm\n", "PO2 : 1.9745323720829884 atm\n", @@ -8979,13 +8985,7 @@ "PH2 : 1.9385615001614447 atm\n", "PO2 : 1.9668533847070295 atm\n", "Power-Thermal : 5073.152673717628 W\n", - "###########\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "###########\n", "I : 93.3\n", "E : 54.100539789674976 V\n", "FC Efficiency : 0.3919468611509362 \n", @@ -9589,6 +9589,7 @@ "PO2 : 1.957498981903589 atm\n", "Power-Thermal : 5441.637814080286 W\n", "###########\n", + "Report is generating ...\n", "Warning : There are errors in the simulations in some of I amounts; please refer to the .opem file for review. If you are confident about this parameters, ignore this error.\n" ] }, @@ -9698,12 +9699,12 @@ "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", - "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", - "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", - "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", - "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] }, diff --git a/Documents/Padulles2.ipynb b/Documents/Padulles2.ipynb index e59b2bad..a53289ed 100644 --- a/Documents/Padulles2.ipynb +++ b/Documents/Padulles2.ipynb @@ -9005,7 +9005,13 @@ "Power-Thermal : 285.1446249018666 W\n", "###########\n", "I : 84.0\n", - "E : 3.0118947898186437 V\n", + "E : 3.0118947898186437 V\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "FC Efficiency : 0.35269424448917813 \n", "FC Power : 231.08526898930955 W\n", "FC Voltage : 2.75101510701559 V\n", @@ -9170,13 +9176,7 @@ "FC Power : 234.99455696916792 W\n", "FC Voltage : 2.7452635159949526 V\n", "PH2 : 2.1570055931966627 atm\n", - "PH2O : 2.6549016869369986 atm\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "PH2O : 2.6549016869369986 atm\n", "PO2 : 2.0901868067437097 atm\n", "Power-Thermal : 291.44544303083205 W\n", "###########\n", @@ -10609,7 +10609,8 @@ "PH2O : 2.652428702805017 atm\n", "PO2 : 2.089052410881352 atm\n", "Power-Thermal : 345.20097962118984 W\n", - "###########\n" + "###########\n", + "Report is generating ...\n" ] }, { @@ -10714,13 +10715,13 @@ "output_type": "stream", "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", - "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", - "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", - "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", - "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] }, diff --git a/Documents/Padulles_Amphlett.ipynb b/Documents/Padulles_Amphlett.ipynb index b0259321..df4bd761 100644 --- a/Documents/Padulles_Amphlett.ipynb +++ b/Documents/Padulles_Amphlett.ipynb @@ -11222,7 +11222,13 @@ "E : 6.067261419271577 V\n", "Eta Activation : 0.6245381051230374 V\n", "Eta Concentration : 0.059001004771667004 V\n", - "Eta Ohmic : 0.2017656593840103 V\n", + "Eta Ohmic : 0.2017656593840103 V\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "FC Efficiency : 0.21035097088179527 \n", "FC Power : 121.41458039297225 W\n", "FC Voltage : 1.6407375728780034 V\n", @@ -11253,13 +11259,7 @@ "Eta Ohmic : 0.20268914738238428 V\n", "FC Efficiency : 0.20850041627572402 \n", "FC Power : 120.67170092373806 W\n", - "FC Voltage : 1.6263032469506475 V\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Voltage : 1.6263032469506475 V\n", "Loss : 0.8881909999072739 V\n", "PH2 : 0.18675940955654013 atm\n", "PH2O : 0.2298686072242417 atm\n", @@ -11364,6 +11364,7 @@ "PO2 : 0.18469260566596615 atm\n", "Power-Thermal : 343.4645657067565 W\n", "###########\n", + "Report is generating ...\n", "Done!\n" ] } @@ -11462,13 +11463,13 @@ "output_type": "stream", "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", - "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", - "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", - "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", - "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", - "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", + "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", + "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] }, diff --git a/Documents/Padulles_Hauer.ipynb b/Documents/Padulles_Hauer.ipynb index 07246637..ee8be9ee 100644 --- a/Documents/Padulles_Hauer.ipynb +++ b/Documents/Padulles_Hauer.ipynb @@ -3011,13 +3011,7 @@ "E : 2.923047740624047 V\n", "FC Efficiency : 0.3723480772202942 \n", "FC Power : 69.41312855540725 W\n", - "FC Voltage : 2.9043150023182953 V\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Voltage : 2.9043150023182953 V\n", "PH2 : 0.19382675150857745 atm\n", "PH2O : 0.23856728567449914 atm\n", "PO2 : 0.18873835314710147 atm\n", @@ -3232,7 +3226,13 @@ "PH2O : 0.23820412017259973 atm\n", "PO2 : 0.18857176354493702 atm\n", "Power-Thermal : 84.6586967471519 W\n", - "###########\n", + "###########\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "I : 26.1\n", "E : 2.9230135605745087 V\n", "FC Efficiency : 0.37094978798547695 \n", @@ -4510,7 +4510,13 @@ "FC Voltage : 2.8357893284355624 V\n", "PH2 : 0.19173324464803362 atm\n", "PH2O : 0.23599053997054617 atm\n", - "PO2 : 0.18755636025555408 atm\n", + "PO2 : 0.18755636025555408 atm\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Power-Thermal : 128.59137405670018 W\n", "###########\n", "I : 38.9\n", @@ -5017,13 +5023,7 @@ "E : 2.9227358438108473 V\n", "FC Efficiency : 0.36081502979721314 \n", "FC Power : 123.55028250316172 W\n", - "FC Voltage : 2.8143572324182626 V\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Voltage : 2.8143572324182626 V\n", "PH2 : 0.1910166751856998 atm\n", "PH2O : 0.23510856660879045 atm\n", "PO2 : 0.18715178550744055 atm\n", @@ -6072,7 +6072,13 @@ "I : 54.4\n", "E : 2.9225710378680643 V\n", "FC Efficiency : 0.35540168691227847 \n", - "FC Power : 150.804043790618 W\n", + "FC Power : 150.804043790618 W\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "FC Voltage : 2.772133157915772 V\n", "PH2 : 0.18954138511618904 atm\n", "PH2O : 0.23329273909929338 atm\n", @@ -7022,13 +7028,7 @@ "I : 63.9\n", "E : 2.922421291624597 V\n", "FC Efficiency : 0.3507063565908972 \n", - "FC Power : 174.79906225203501 W\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Power : 174.79906225203501 W\n", "FC Voltage : 2.7355095814089987 V\n", "PH2 : 0.18820659886282212 atm\n", "PH2O : 0.2316498475430817 atm\n", @@ -8320,7 +8320,13 @@ "FC Efficiency : 0.34454282890928 \n", "FC Power : 206.3949362298151 W\n", "FC Voltage : 2.687434065492384 V\n", - "PH2 : 0.18639409963456605 atm\n", + "PH2 : 0.18639409963456605 atm\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "PH2O : 0.2294189737456996 atm\n", "PO2 : 0.18454188174019837 atm\n", "Power-Thermal : 265.9250637701849 W\n", @@ -9028,13 +9034,7 @@ "I : 83.9\n", "E : 2.9221040384630665 V\n", "FC Efficiency : 0.34122875110065953 \n", - "FC Power : 223.30691929529362 W\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "FC Power : 223.30691929529362 W\n", "FC Voltage : 2.6615842585851444 V\n", "PH2 : 0.18539652253994446 atm\n", "PH2O : 0.22819112847737297 atm\n", @@ -10371,7 +10371,13 @@ "PO2 : 0.18292358274774423 atm\n", "Power-Thermal : 343.69495764297625 W\n", "###########\n", - "I : 97.3\n", + "I : 97.3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "E : 2.9218899445383224 V\n", "FC Efficiency : 0.3350884516028607 \n", "FC Power : 254.3120294594751 W\n", @@ -10640,13 +10646,8 @@ "PH2O : 0.22542415322480602 atm\n", "PO2 : 0.18270939611639 atm\n", "Power-Thermal : 354.19440008841076 W\n", - "###########\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "###########\n", + "Report is generating ...\n", "Done!\n" ] } @@ -10745,13 +10746,13 @@ "output_type": "stream", "text": [ "Requirement already satisfied: matplotlib in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (2.2.2)\n", + "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.6.1)\n", + "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", "Requirement already satisfied: pytz in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2018.3)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.0.1)\n", - "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (2.2.0)\n", - "Requirement already satisfied: cycler>=0.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (0.10.0)\n", - "Requirement already satisfied: numpy>=1.7.1 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.15.2)\n", - "Requirement already satisfied: six>=1.10 in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from matplotlib) (1.11.0)\n", "Requirement already satisfied: setuptools in c:\\users\\sepkjaer\\appdata\\local\\programs\\python\\python35-32\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (39.2.0)\n" ] }, From 9ae909945e6c4597451fcc2088adbbd622b2093b Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 22 Feb 2019 18:18:41 +0330 Subject: [PATCH 170/204] doc : CHANGELOG updated --- CHANGELOG.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/CHANGELOG.md b/CHANGELOG.md index 2fc109d2..2a112346 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -12,6 +12,8 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0. - `CODE_OF_CONDUCT.md` - `ISSUE_TEMPLATE.md` - `PULL_REQUEST_TEMPLATE.md` +- `vulture` test +- `bandit` test ### Changed - Document modified @@ -22,6 +24,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0. - `linear_plot` function bug fixed - `INSTALL.md` modified + ## [0.9] - 2018-07-14 ### Added - JOSS paper From 62ab6249ff1cde1aba892e57ae51ba1341557141 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 22 Feb 2019 18:22:42 +0330 Subject: [PATCH 171/204] feat : build_ext.bat added --- build_exe.bat | 1 + 1 file changed, 1 insertion(+) create mode 100644 build_exe.bat diff --git a/build_exe.bat b/build_exe.bat new file mode 100644 index 00000000..0531ba1a --- /dev/null +++ b/build_exe.bat @@ -0,0 +1 @@ +python -m PyInstaller OPEM.spec \ No newline at end of file From 0c8b28bc9977eb93c9f55503335b615f7087c39c Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 22 Feb 2019 18:23:11 +0330 Subject: [PATCH 172/204] doc : CHANGELOG updated --- CHANGELOG.md | 1 + 1 file changed, 1 insertion(+) diff --git a/CHANGELOG.md b/CHANGELOG.md index 2a112346..914cb31e 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -14,6 +14,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0. - `PULL_REQUEST_TEMPLATE.md` - `vulture` test - `bandit` test +- `build_exe.bat` ### Changed - Document modified From 0072285f1cb5676953a60bc769963368e339618f Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sat, 23 Feb 2019 00:33:49 +0330 Subject: [PATCH 173/204] fix : Amphlett testcases updated --- opem/Test/test_Amphlett.py | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) diff --git a/opem/Test/test_Amphlett.py b/opem/Test/test_Amphlett.py index 2b20f1eb..61d34116 100644 --- a/opem/Test/test_Amphlett.py +++ b/opem/Test/test_Amphlett.py @@ -609,6 +609,30 @@ ########### Report is generating ... Done! +>>> Amphlett_Data["Status"] +True +>>> Amphlett_Data["P"][5] +0.4825532947945601 +>>> Amphlett_Data["I"][5] +0.5 +>>> Amphlett_Data["V"][5] +0.9651065895891202 +>>> Amphlett_Data["EFF"][5] +0.618658070249436 +>>> Amphlett_Data["Ph"][5] +0.13244670520543989 +>>> Amphlett_Data["V0"] +1.0040929839792478 +>>> Amphlett_Data["K"] +-0.05583350147954085 +>>> Amphlett_Data["Eta_Active"][5] +0.22466052101362555 +>>> Amphlett_Data["Eta_Conc"][5] +0.00010575055020278165 +>>> Amphlett_Data["Eta_Ohmic"][5] +0.0008771388470514419 +>>> Amphlett_Data["VE"][5] +0.9761762332394774 >>> shutil.rmtree("Amphlett") ''' From 0a5b49867a876c564d3159959929aec9b805cef0 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sat, 23 Feb 2019 00:36:44 +0330 Subject: [PATCH 174/204] fix : Chamberline Kim testcases updated --- opem/Test/test_Chamberline_Kim.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/opem/Test/test_Chamberline_Kim.py b/opem/Test/test_Chamberline_Kim.py index c383e054..1d9cfa39 100644 --- a/opem/Test/test_Chamberline_Kim.py +++ b/opem/Test/test_Chamberline_Kim.py @@ -264,6 +264,24 @@ ########### Report is generating ... Done! +>>> Chamberline_Kim_Data["P"][5] +1.820393802022961 +>>> Chamberline_Kim_Data["Status"] +True +>>> Chamberline_Kim_Data["I"][5] +1.5 +>>> Chamberline_Kim_Data["V"][5] +1.2135958680153074 +>>> Chamberline_Kim_Data["EFF"][5] +0.7779460692405816 +>>> Chamberline_Kim_Data["Ph"][5] +0.02460619797703889 +>>> Chamberline_Kim_Data["V0"] +1.2696835857181188 +>>> Chamberline_Kim_Data["K"] +-0.0372516118425709 +>>> Chamberline_Kim_Data["VE"][5] +1.2138061679542624 >>> shutil.rmtree("Chamberline-Kim") ''' From f67ba7784e6e99bb658c7c84dfa30e4292de0560 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sat, 23 Feb 2019 00:38:34 +0330 Subject: [PATCH 175/204] fix : Larminie testcases updated --- opem/Test/test_Larminie_Dicks.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/opem/Test/test_Larminie_Dicks.py b/opem/Test/test_Larminie_Dicks.py index e4eda871..3d4b1097 100644 --- a/opem/Test/test_Larminie_Dicks.py +++ b/opem/Test/test_Larminie_Dicks.py @@ -337,6 +337,24 @@ ########### Report is generating ... Done! +>>> Larminie_Dicks_Data["Status"] +True +>>> Larminie_Dicks_Data["P"][5] +12.3063200471132 +>>> Larminie_Dicks_Data["I"][5] +0.6 +>>> Larminie_Dicks_Data["V"][5] +20.510533411855334 +>>> Larminie_Dicks_Data["EFF"][5] +0.5716425142657562 +>>> Larminie_Dicks_Data["Ph"][5] +4.6676799528867985 +>>> Larminie_Dicks_Data["V0"] +20.957577180240715 +>>> Larminie_Dicks_Data["K"] +-0.8085109813421083 +>>> Larminie_Dicks_Data["VE"][5] +20.47247059143545 >>> shutil.rmtree("Larminie-Dicks") ''' From ac8faac98bba492a84c445c63e06c44badf9b533 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sat, 23 Feb 2019 00:43:56 +0330 Subject: [PATCH 176/204] fix : Padulles 1 testcases updated --- opem/Test/test_Padulles1.py | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/opem/Test/test_Padulles1.py b/opem/Test/test_Padulles1.py index eddd02d2..25d07b4e 100644 --- a/opem/Test/test_Padulles1.py +++ b/opem/Test/test_Padulles1.py @@ -374,6 +374,28 @@ Report is generating ... Warning : There are errors in the simulations in some of I amounts; please refer to the .opem file for review. If you are confident about this parameters, ignore this error. Done! +>>> Padulles_I_Data["Status"] +True +>>> Padulles_I_Data["P"][5] +27.262222284249443 +>>> Padulles_I_Data["I"][5] +0.5 +>>> Padulles_I_Data["V"][5] +54.524444568498886 +>>> Padulles_I_Data["EFF"][5] +0.3971768980805572 +>>> Padulles_I_Data["PO2"][5] +2.0962792264800076 +>>> Padulles_I_Data["PH2"][5] +2.1677962862765128 +>>> Padulles_I_Data["Ph"][5] +26.857777715750554 +>>> Padulles_I_Data["V0"] +54.539964013494824 +>>> Padulles_I_Data["K"] +-0.03833515487668971 +>>> Padulles_I_Data["VE"][5] +54.52079643605648 >>> Padulles_I_Data=Dynamic_Analysis(InputMethod={}, TestMode=True,PrintMode=False) >>> Padulles_I_Data["Status"] False From 2c0d1aefc1d1499ebe8bbf0a853988a81841f877 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sat, 23 Feb 2019 00:46:09 +0330 Subject: [PATCH 177/204] fix : Padulles 2 testcases updated --- opem/Test/test_Padulles2.py | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/opem/Test/test_Padulles2.py b/opem/Test/test_Padulles2.py index a619d21f..8e477549 100644 --- a/opem/Test/test_Padulles2.py +++ b/opem/Test/test_Padulles2.py @@ -400,6 +400,28 @@ ########### Report is generating ... Done! +>>> Padulles_II_Data["Status"] +True +>>> Padulles_II_Data["P"][5] +1.943937672649885 +>>> Padulles_II_Data["I"][5] +0.6 +>>> Padulles_II_Data["V"][5] +3.2398961210831416 +>>> Padulles_II_Data["EFF"][5] +0.4153712975747617 +>>> Padulles_II_Data["PO2"][5] +2.0969297192122687 +>>> Padulles_II_Data["PH2"][5] +2.1689484175688927 +>>> Padulles_II_Data["Ph"][5] +1.7460623273501152 +>>> Padulles_II_Data["V0"] +3.263468110052509 +>>> Padulles_II_Data["K"] +-0.03641691581104169 +>>> Padulles_II_Data["VE"][5] +3.241617960565884 >>> Enernst_Calc(E0=None,N0=0,T=1, PH2=2.1, PO2=2.1,PH2O=2.1) [Error] Enernst Calculation Failed (E0:None, N0:0, T:1, PH2:2.1, PO2:2.1, PH2O:2.1) >>> PH2O_Calc(KH2O=None,tH2O=1,Kr=0.3,I=3,qH2O=0.3) From 652481db6c4fc3a56c8ac8693e3a95d1b534e70e Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sat, 23 Feb 2019 00:48:27 +0330 Subject: [PATCH 178/204] fix : Padulles-Hauer testcases updated --- opem/Test/test_Padulles_Hauer.py | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) diff --git a/opem/Test/test_Padulles_Hauer.py b/opem/Test/test_Padulles_Hauer.py index 3c347058..75f0d884 100644 --- a/opem/Test/test_Padulles_Hauer.py +++ b/opem/Test/test_Padulles_Hauer.py @@ -400,6 +400,30 @@ ########### Report is generating ... Done! +>>> Padulles_Hauer_Data["Status"] +True +>>> Padulles_Hauer_Data["P"][5] +1.8907754319000147 +>>> Padulles_Hauer_Data["I"][5] +0.6 +>>> Padulles_Hauer_Data["V"][5] +3.1512923865000246 +>>> Padulles_Hauer_Data["EFF"][5] +0.4040118444230801 +>>> Padulles_Hauer_Data["PO2"][5] +0.1905867044473064 +>>> Padulles_Hauer_Data["PH2"][5] +0.19710049042472996 +>>> Padulles_Hauer_Data["PH2O"][5] +0.2425966933860498 +>>> Padulles_Hauer_Data["Ph"][5] +1.7992245680999854 +>>> Padulles_Hauer_Data["V0"] +3.1748727715256186 +>>> Padulles_Hauer_Data["K"] +-0.03643090556526363 +>>> Padulles_Hauer_Data["VE"][5] +3.1530142281864606 >>> Padulles_Hauer_Data=Dynamic_Analysis(InputMethod={}, TestMode=True,PrintMode=False) >>> Padulles_Hauer_Data["Status"] False From 89cfde7936801272b516b8f2aa2d21fa3af2da69 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sat, 23 Feb 2019 00:50:39 +0330 Subject: [PATCH 179/204] fix : Padulles-Amphlett testcases updated --- opem/Test/test_Padulles_Amphlett.py | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) diff --git a/opem/Test/test_Padulles_Amphlett.py b/opem/Test/test_Padulles_Amphlett.py index 7c3c8313..4a8e998f 100644 --- a/opem/Test/test_Padulles_Amphlett.py +++ b/opem/Test/test_Padulles_Amphlett.py @@ -556,6 +556,30 @@ ########### Report is generating ... Done! +>>> Padulles_Amphlett_Data["Status"] +True +>>> Padulles_Amphlett_Data["P"][5] +2.72491286817189 +>>> Padulles_Amphlett_Data["I"][5] +0.6 +>>> Padulles_Amphlett_Data["V"][5] +4.54152144695315 +>>> Padulles_Amphlett_Data["EFF"][5] +0.582246339352968 +>>> Padulles_Amphlett_Data["PO2"][5] +0.1905867044473064 +>>> Padulles_Amphlett_Data["PH2"][5] +0.19710049042472996 +>>> Padulles_Amphlett_Data["PH2O"][5] +0.2425966933860498 +>>> Padulles_Amphlett_Data["Ph"][5] +0.9650871318281099 +>>> Padulles_Amphlett_Data["VE"][5] +4.553477553120023 +>>> Padulles_Amphlett_Data["V0"] +4.698328442367755 +>>> Padulles_Amphlett_Data["K"] +-0.24141814874622033 >>> Padulles_Amphlett_Data=Dynamic_Analysis(InputMethod={}, TestMode=True, PrintMode=False) >>> Padulles_Amphlett_Data["Status"] False From dc8c4705e142d56e0b3c27b099db481ee73b7bd6 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 00:15:33 +0330 Subject: [PATCH 180/204] fix : minor bug in warning message fixed --- opem/Functions.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/opem/Functions.py b/opem/Functions.py index ccec34e0..82a98194 100644 --- a/opem/Functions.py +++ b/opem/Functions.py @@ -763,7 +763,7 @@ def warning_print( str(I_Warning)) + '

\n') if PrintMode: - print(Warning_Message_1) + print(Warning_Message_1.format(str(I_Warning))) if warning_flag_2: file.write( '

' + From fb19391c84e14f53398609ab666d436eb35d72a2 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 00:24:15 +0330 Subject: [PATCH 181/204] fix : Amphlett test cases updated --- opem/Test/test_Amphlett.py | 48 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 48 insertions(+) diff --git a/opem/Test/test_Amphlett.py b/opem/Test/test_Amphlett.py index 61d34116..961307e8 100644 --- a/opem/Test/test_Amphlett.py +++ b/opem/Test/test_Amphlett.py @@ -609,6 +609,54 @@ ########### Report is generating ... Done! +>>> Test_Vector={"T":3432222.15,"PH2":1,"PO2":1,"i-start":0,"i-stop":5,"i-step":2,"A":50.6,"l":0.0178,"lambda":23,"N":1,"R":0,"JMax":1.5,"B":0.016,"Name":"test1"} +>>> Amphlett_Data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,ReportMode=False) +########### +Amphlett-Model Simulation +########### +Analyzing . . . +I : 0 +Enernst : -2915.9064000000003 V +Eta Activation : 0 V +Eta Concentration : 0 V +Eta Ohmic : 0 V +Loss : 0 V +PEM Efficiency : -1869.1707692307693 +Power : -0.0 W +Power-Stack : -0.0 W +Power-Thermal : 0.0 W +VStack : -2915.9064000000003 V +Vcell : -2915.9064000000003 V +########### +I : 2 +Enernst : -2915.9064000000003 V +Eta Activation : -5970.253342221295 V +Eta Concentration : 0.0004272617031588504 V +Eta Ohmic : 0.21725850475910816 V +Loss : -5970.035656454832 V +PEM Efficiency : 1957.7751643941228 +Power : 6108.258512909663 W +Power-Stack : 6108.258512909663 W +Power-Thermal : -6105.798512909663 W +VStack : 3054.1292564548316 V +Vcell : 3054.1292564548316 V +########### +I : 4 +Enernst : -2915.9064000000003 V +Eta Activation : -5511.099566700011 V +Eta Concentration : 0.0008662467147933317 V +Eta Ohmic : 2.4703467982605276 V +Loss : -5508.628353655035 V +PEM Efficiency : 1662.0012523429712 +Power : 10370.88781462014 W +Power-Stack : 10370.88781462014 W +Power-Thermal : -10365.96781462014 W +VStack : 2592.721953655035 V +Vcell : 2592.721953655035 V +########### +Report is generating ... +Warning : The value of I(>{}) leads to minus amount of V, please check your inputs +Done! >>> Amphlett_Data["Status"] True >>> Amphlett_Data["P"][5] From 83f7772d202117f6eda930b9c8d4ae6e67c10da2 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 00:35:04 +0330 Subject: [PATCH 182/204] fix : Amphlett test cases updated --- opem/Test/test_Amphlett.py | 50 +++++++++++++++++++------------------- 1 file changed, 25 insertions(+), 25 deletions(-) diff --git a/opem/Test/test_Amphlett.py b/opem/Test/test_Amphlett.py index 961307e8..d4e90d78 100644 --- a/opem/Test/test_Amphlett.py +++ b/opem/Test/test_Amphlett.py @@ -609,8 +609,32 @@ ########### Report is generating ... Done! +>>> Amphlett_Data["Status"] +True +>>> Amphlett_Data["P"][5] +0.4825532947945601 +>>> Amphlett_Data["I"][5] +0.5 +>>> Amphlett_Data["V"][5] +0.9651065895891202 +>>> Amphlett_Data["EFF"][5] +0.618658070249436 +>>> Amphlett_Data["Ph"][5] +0.13244670520543989 +>>> Amphlett_Data["V0"] +1.0040929839792478 +>>> Amphlett_Data["K"] +-0.05583350147954085 +>>> Amphlett_Data["Eta_Active"][5] +0.22466052101362555 +>>> Amphlett_Data["Eta_Conc"][5] +0.00010575055020278165 +>>> Amphlett_Data["Eta_Ohmic"][5] +0.0008771388470514419 +>>> Amphlett_Data["VE"][5] +0.9761762332394774 >>> Test_Vector={"T":3432222.15,"PH2":1,"PO2":1,"i-start":0,"i-stop":5,"i-step":2,"A":50.6,"l":0.0178,"lambda":23,"N":1,"R":0,"JMax":1.5,"B":0.016,"Name":"test1"} ->>> Amphlett_Data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,ReportMode=False) +>>> Amphlett_Data=Static_Analysis(InputMethod=Test_Vector,TestMode=True) ########### Amphlett-Model Simulation ########### @@ -657,30 +681,6 @@ Report is generating ... Warning : The value of I(>{}) leads to minus amount of V, please check your inputs Done! ->>> Amphlett_Data["Status"] -True ->>> Amphlett_Data["P"][5] -0.4825532947945601 ->>> Amphlett_Data["I"][5] -0.5 ->>> Amphlett_Data["V"][5] -0.9651065895891202 ->>> Amphlett_Data["EFF"][5] -0.618658070249436 ->>> Amphlett_Data["Ph"][5] -0.13244670520543989 ->>> Amphlett_Data["V0"] -1.0040929839792478 ->>> Amphlett_Data["K"] --0.05583350147954085 ->>> Amphlett_Data["Eta_Active"][5] -0.22466052101362555 ->>> Amphlett_Data["Eta_Conc"][5] -0.00010575055020278165 ->>> Amphlett_Data["Eta_Ohmic"][5] -0.0008771388470514419 ->>> Amphlett_Data["VE"][5] -0.9761762332394774 >>> shutil.rmtree("Amphlett") ''' From 62c7504183d1b81fb3058c247f64be1a39704a4d Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 02:40:59 +0330 Subject: [PATCH 183/204] doc : README lib section updated --- README.md | 22 +++++++++++----------- opem/Test/test_Amphlett.py | 2 +- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index 1f90d046..7a6d344b 100644 --- a/README.md +++ b/README.md @@ -750,7 +750,7 @@ Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work ```pycon >>> from opem.Static.Amphlett import Static_Analysis >>> Test_Vector={"T": 343.15,"PH2": 1,"PO2": 1,"i-start": 0,"i-stop": 75,"i-step": 0.1,"A": 50.6,"l": 0.0178,"lambda": 23,"N": 1,"R": 0,"JMax": 1.5,"B": 0.016,"Name": "Amphlett_Test"} - >>> data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=True) + >>> data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False) ``` @@ -827,7 +827,7 @@ Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work ```pycon >>> from opem.Static.Larminie_Dicks import Static_Analysis >>> Test_Vector = {"A": 0.0587,"E0": 1.178,"B": 0.0517,"RM": 0.0018,"i_0": 0.00654,"i_L": 100.0,"i_n": 0.23,"N": 23,"i-start": 0.1,"i-stop": 98,"i-step": 0.1,"Name": "Larminiee_Test"} - >>> data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=True) + >>> data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False) ```
@@ -889,7 +889,7 @@ Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work ```pycon >>> from opem.Static.Chamberline_Kim import Static_Analysis >>> Test_Vector = {"A": 50.0,"E0": 0.982,"b": 0.0689,"R": 0.328,"m": 0.000125,"n": 9.45,"N": 1,"i-start": 1,"i-stop": 42.5,"i-step": 0.1,"Name": "Chamberline_Test"} - >>> data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=True) + >>> data=Static_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False) ```
@@ -951,7 +951,7 @@ Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work ```pycon >>> from opem.Dynamic.Padulles1 import Dynamic_Analysis >>> Test_Vector = {"T": 343,"E0": 0.6,"N0": 88,"KO2": 0.0000211,"KH2": 0.0000422,"tH2": 3.37,"tO2": 6.74,"B": 0.04777,"C": 0.0136,"Rint": 0.00303,"rho": 1.168,"qH2": 0.0004,"i-start": 0,"i-stop": 100,"i-step": 0.1,"Name": "PadullesI_Test"} - >>> data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=True) + >>> data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False) ```
@@ -1023,7 +1023,7 @@ Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work ```pycon >>> from opem.Dynamic.Padulles2 import Dynamic_Analysis >>> Test_Vector = {"T": 343,"E0": 0.6,"N0": 5,"KO2": 0.0000211,"KH2": 0.0000422,"KH2O": 0.000007716,"tH2": 3.37,"tO2": 6.74,"tH2O": 18.418,"B": 0.04777,"C": 0.0136,"Rint": 0.00303,"rho": 1.168,"qH2": 0.0004,"i-start": 0.1,"i-stop": 100,"i-step": 0.1,"Name": "Padulles2_Test"} - >>> data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=True) + >>> data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False) ```
@@ -1100,7 +1100,7 @@ Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work ```pycon >>> from opem.Dynamic.Padulles_Hauer import Dynamic_Analysis >>> Test_Vector = {"T": 343,"E0": 0.6,"N0": 5,"KO2": 0.0000211,"KH2": 0.0000422,"KH2O": 0.000007716,"tH2": 3.37,"tO2": 6.74,"t1": 2,"t2": 2,"tH2O": 18.418,"B": 0.04777,"C": 0.0136,"Rint": 0.00303,"rho": 1.168,"qMethanol": 0.0002,"CV": 2,"i-start": 0.1,"i-stop": 100,"i-step": 0.1,"Name": "Padulles_Hauer_Test"} - >>> data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=True) + >>> data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False) ```
@@ -1177,7 +1177,7 @@ Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work ```pycon >>> from opem.Dynamic.Padulles_Amphlett import Dynamic_Analysis >>> Test_Vector = {"A": 50.6,"l": 0.0178,"lambda": 23,"JMax": 1.5,"T": 343,"N0": 5,"KO2": 0.0000211,"KH2": 0.0000422,"KH2O": 0.000007716,"tH2": 3.37,"tO2": 6.74,"t1": 2,"t2": 2,"tH2O": 18.418,"B": 0.016,"rho": 1.168,"qMethanol": 0.0002,"CV": 2,"i-start": 0.1,"i-stop": 75,"i-step": 0.1,"Name": "Padulles_Amphlett_Test"} - >>> data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=True,ReportMode=True) + >>> data=Dynamic_Analysis(InputMethod=Test_Vector,TestMode=True,PrintMode=False,ReportMode=False) ```
@@ -1266,11 +1266,11 @@ Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work - For more information about this model visit here - #### Flags + #### Modes - 1. `TestMode` : Return data as `dict`, (Default : `False`) - 2. `PrintMode` : Print result in console, (Default : `True`) - 3. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`), (Default : `True`) + 1. `TestMode` : Active test mode and get/return data as `dict`, (Default : `False`) + 2. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`) and iterative result in console, (Default : `True`) + 3. `PrintMode` : Print result in console, (Default : `True`) #### Note diff --git a/opem/Test/test_Amphlett.py b/opem/Test/test_Amphlett.py index d4e90d78..9a6da20d 100644 --- a/opem/Test/test_Amphlett.py +++ b/opem/Test/test_Amphlett.py @@ -679,7 +679,7 @@ Vcell : 2592.721953655035 V ########### Report is generating ... -Warning : The value of I(>{}) leads to minus amount of V, please check your inputs +Warning : The value of I(>0) leads to minus amount of V, please check your inputs Done! >>> shutil.rmtree("Amphlett") From 59c82339d1990335e398d0f8722fb458130c734a Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 18:48:38 +0330 Subject: [PATCH 184/204] doc : README library section updated --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 7a6d344b..d3ae132e 100644 --- a/README.md +++ b/README.md @@ -1269,8 +1269,8 @@ Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work #### Modes 1. `TestMode` : Active test mode and get/return data as `dict`, (Default : `False`) - 2. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`) and iterative result in console, (Default : `True`) - 3. `PrintMode` : Print result in console, (Default : `True`) + 2. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`) and print result in console, (Default : `True`) + 3. `PrintMode` : Control printing in console, (Default : `True`) #### Note From af6eb2b88478325b8aee205387f503d27bb8d9b8 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 18:53:33 +0330 Subject: [PATCH 185/204] doc : modes section in notebooks updated --- Documents/Amphlett.ipynb | 6 +++--- Documents/Chamberline_Kim.ipynb | 6 +++--- Documents/Larminie_Dicks.ipynb | 6 +++--- Documents/Padulles1.ipynb | 6 +++--- Documents/Padulles2.ipynb | 6 +++--- Documents/Padulles_Amphlett.ipynb | 6 +++--- Documents/Padulles_Hauer.ipynb | 6 +++--- 7 files changed, 21 insertions(+), 21 deletions(-) diff --git a/Documents/Amphlett.ipynb b/Documents/Amphlett.ipynb index 668cd060..a2bfa525 100644 --- a/Documents/Amphlett.ipynb +++ b/Documents/Amphlett.ipynb @@ -10682,9 +10682,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "1. `TestMode` : Return data as `dict`, (Default : `False`)\n", - "2. `PrintMode` : Print result in console, (Default : `True`)\n", - "3. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`), (Default : `True`)" + "1. `TestMode` : Active test mode and get/return data as `dict`, (Default : `False`)\n", + "2. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`) and print result in console, (Default : `True`)\n", + "3. `PrintMode` : Control printing in console, (Default : `True`)" ] }, { diff --git a/Documents/Chamberline_Kim.ipynb b/Documents/Chamberline_Kim.ipynb index a6b93fca..6bf47d47 100644 --- a/Documents/Chamberline_Kim.ipynb +++ b/Documents/Chamberline_Kim.ipynb @@ -3860,9 +3860,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "1. `TestMode` : Return data as `dict`, (Default : `False`)\n", - "2. `PrintMode` : Print result in console, (Default : `True`)\n", - "3. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`), (Default : `True`)" + "1. `TestMode` : Active test mode and get/return data as `dict`, (Default : `False`)\n", + "2. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`) and print result in console, (Default : `True`)\n", + "3. `PrintMode` : Control printing in console, (Default : `True`)" ] }, { diff --git a/Documents/Larminie_Dicks.ipynb b/Documents/Larminie_Dicks.ipynb index 22f8d591..5629b50e 100644 --- a/Documents/Larminie_Dicks.ipynb +++ b/Documents/Larminie_Dicks.ipynb @@ -8379,9 +8379,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "1. `TestMode` : Return data as `dict`, (Default : `False`)\n", - "2. `PrintMode` : Print result in console, (Default : `True`)\n", - "3. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`), (Default : `True`)" + "1. `TestMode` : Active test mode and get/return data as `dict`, (Default : `False`)\n", + "2. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`) and print result in console, (Default : `True`)\n", + "3. `PrintMode` : Control printing in console, (Default : `True`)" ] }, { diff --git a/Documents/Padulles1.ipynb b/Documents/Padulles1.ipynb index 44d6cf6c..b7ffec89 100644 --- a/Documents/Padulles1.ipynb +++ b/Documents/Padulles1.ipynb @@ -9676,9 +9676,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "1. `TestMode` : Return data as `dict`, (Default : `False`)\n", - "2. `PrintMode` : Print result in console, (Default : `True`)\n", - "3. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`), (Default : `True`)" + "1. `TestMode` : Active test mode and get/return data as `dict`, (Default : `False`)\n", + "2. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`) and print result in console, (Default : `True`)\n", + "3. `PrintMode` : Control printing in console, (Default : `True`)" ] }, { diff --git a/Documents/Padulles2.ipynb b/Documents/Padulles2.ipynb index a53289ed..1b2f4f53 100644 --- a/Documents/Padulles2.ipynb +++ b/Documents/Padulles2.ipynb @@ -10693,9 +10693,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "1. `TestMode` : Return data as `dict`, (Default : `False`)\n", - "2. `PrintMode` : Print result in console, (Default : `True`)\n", - "3. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`), (Default : `True`)" + "1. `TestMode` : Active test mode and get/return data as `dict`, (Default : `False`)\n", + "2. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`) and print result in console, (Default : `True`)\n", + "3. `PrintMode` : Control printing in console, (Default : `True`)" ] }, { diff --git a/Documents/Padulles_Amphlett.ipynb b/Documents/Padulles_Amphlett.ipynb index df4bd761..48d19449 100644 --- a/Documents/Padulles_Amphlett.ipynb +++ b/Documents/Padulles_Amphlett.ipynb @@ -11441,9 +11441,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "1. `TestMode` : Return data as `dict`, (Default : `False`)\n", - "2. `PrintMode` : Print result in console, (Default : `True`)\n", - "3. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`), (Default : `True`)" + "1. `TestMode` : Active test mode and get/return data as `dict`, (Default : `False`)\n", + "2. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`) and print result in console, (Default : `True`)\n", + "3. `PrintMode` : Control printing in console, (Default : `True`)" ] }, { diff --git a/Documents/Padulles_Hauer.ipynb b/Documents/Padulles_Hauer.ipynb index ee8be9ee..6501bdb1 100644 --- a/Documents/Padulles_Hauer.ipynb +++ b/Documents/Padulles_Hauer.ipynb @@ -10724,9 +10724,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "1. `TestMode` : Return data as `dict`, (Default : `False`)\n", - "2. `PrintMode` : Print result in console, (Default : `True`)\n", - "3. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`), (Default : `True`)" + "1. `TestMode` : Active test mode and get/return data as `dict`, (Default : `False`)\n", + "2. `ReportMode` : Generate reports(`.csv`,`.opem`,`.html`) and print result in console, (Default : `True`)\n", + "3. `PrintMode` : Control printing in console, (Default : `True`)" ] }, { From 04b3253a538a71adbe4c0db06ca57288698defd1 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 18:57:14 +0330 Subject: [PATCH 186/204] fix : Chamberline-Kim testcases updated for I warning --- opem/Test/test_Chamberline_Kim.py | 41 +++++++++++++++++++++++++++++++ 1 file changed, 41 insertions(+) diff --git a/opem/Test/test_Chamberline_Kim.py b/opem/Test/test_Chamberline_Kim.py index 1d9cfa39..a2e65469 100644 --- a/opem/Test/test_Chamberline_Kim.py +++ b/opem/Test/test_Chamberline_Kim.py @@ -282,6 +282,47 @@ -0.0372516118425709 >>> Chamberline_Kim_Data["VE"][5] 1.2138061679542624 +>>> Test_Vector={"A":50.0,"E0":-5,"b":0.0689,"R":0.328,"m":0.000125,"n":9.45,"N":1,"i-start":1,"i-stop":5,"i-step":1,"Name":"test2"} +>>> Chamberline_Kim_Data=Static_Analysis(InputMethod=Test_Vector, TestMode=True) +########### +Chamberline-Kim-Model Simulation +########### +Analyzing . . . +I : 1 +PEM Efficiency : -3.036649115413501 +Power : -4.737172620045062 W +Power-Stack : -4.737172620045062 W +Power-Thermal : 5.967172620045062 W +VStack : -4.737172620045062 V +Vcell : -4.737172620045062 V +########### +I : 2 +PEM Efficiency : -3.0714883820733587 +Power : -9.58304375206888 W +Power-Stack : -9.58304375206888 W +Power-Thermal : 12.04304375206888 W +VStack : -4.79152187603444 V +Vcell : -4.79152187603444 V +########### +I : 3 +PEM Efficiency : -3.0936258800578047 +Power : -14.478169118670525 W +Power-Stack : -14.478169118670525 W +Power-Thermal : 18.168169118670527 W +VStack : -4.826056372890175 V +Vcell : -4.826056372890175 V +########### +I : 4 +PEM Efficiency : -3.110566355084641 +Power : -19.40993405572816 W +Power-Stack : -19.40993405572816 W +Power-Thermal : 24.32993405572816 W +VStack : -4.85248351393204 V +Vcell : -4.85248351393204 V +########### +Report is generating ... +Warning : The value of I(>1) leads to minus amount of V, please check your inputs +Done! >>> shutil.rmtree("Chamberline-Kim") ''' From 70f3b1b404d78fb4ba3007c7de7996ff494dad4b Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 18:58:44 +0330 Subject: [PATCH 187/204] fix : Larminie-Dicks testcases updated for I warning --- opem/Test/test_Larminie_Dicks.py | 33 ++++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/opem/Test/test_Larminie_Dicks.py b/opem/Test/test_Larminie_Dicks.py index 3d4b1097..f0c6b059 100644 --- a/opem/Test/test_Larminie_Dicks.py +++ b/opem/Test/test_Larminie_Dicks.py @@ -355,6 +355,39 @@ -0.8085109813421083 >>> Larminie_Dicks_Data["VE"][5] 20.47247059143545 +>>> Test_Vector={"A":0.0587,"E0":-1.178,"B":0.0517,"RM":0.0018,"i_0":0.00654,"i_L":100.0,"i_n":0.23,"N":23,"i-start":0.1,"i-stop":5,"i-step":2,"Name":"test3"} +>>> Larminie_Dicks_Data=Static_Analysis(InputMethod=Test_Vector, TestMode=True) +########### +Larminie-Dicks-Model Simulation +########### +Analyzing . . . +I : 0.1 +PEM Efficiency : -0.9031645636738124 +Power : -0.14089367193311472 W +Power-Stack : -3.2405544544616385 W +Power-Thermal : 6.069554454461639 W +VStack : -32.40554454461639 V +Vcell : -1.4089367193311473 V +########### +I : 2.0 +PEM Efficiency : -0.9778895997702232 +Power : -3.0510155512830965 W +Power-Stack : -70.17335767951123 W +Power-Thermal : 126.75335767951123 W +VStack : -35.08667883975561 V +Vcell : -1.5255077756415483 V +########### +I : 4.0 +PEM Efficiency : -1.0049718529311737 +Power : -6.271024362290525 W +Power-Stack : -144.2335603326821 W +Power-Thermal : 257.3935603326821 W +VStack : -36.05839008317052 V +Vcell : -1.5677560905726313 V +########### +Report is generating ... +Warning : The value of I(>0.1) leads to minus amount of V, please check your inputs +Done! >>> shutil.rmtree("Larminie-Dicks") ''' From c25e094ac86d7395ea5aa3111654402a1bd63be2 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 19:01:11 +0330 Subject: [PATCH 188/204] fix : Larminie-Amphlett testcases updated for I warning --- opem/Test/test_Padulles_Amphlett.py | 51 +++++++++++++++++++++++++++++ 1 file changed, 51 insertions(+) diff --git a/opem/Test/test_Padulles_Amphlett.py b/opem/Test/test_Padulles_Amphlett.py index 4a8e998f..0ef3e431 100644 --- a/opem/Test/test_Padulles_Amphlett.py +++ b/opem/Test/test_Padulles_Amphlett.py @@ -587,6 +587,57 @@ 2.9 >>> Vcell_Calc(Enernst=4.5, Loss=0.4, N=None) [Error] Vcell Calculation Error (Enernst:4.5, Loss:0.4, N:None) +>>> Test_Vector={"A":50.6,"l":0.0178,"lambda":23,"JMax":1.5,"T":2,"N0":5,"KO2":0.0000211,"KH2":0.0000422,"KH2O":0.000007716,"tH2":3.37,"tO2":6.74,"t1":2,"t2":2,"tH2O":18.418,"B":234,"rho":1.168,"qMethanol":0.0002,"CV":2,"i-start":0.1,"i-stop":5,"i-step":2,"Name":"Test"} +>>> Padulles_Amphlett_Data=Dynamic_Analysis(InputMethod=Test_Vector, TestMode=True) +########### +Padulles-Amphlett-Model Simulation +########### +Analyzing . . . +I : 0.1 +E : 6.14455344314445 V +Eta Activation : 0.9092187394310518 V +Eta Concentration : 0.3085036702624245 V +Eta Ohmic : 4.63717533307516e+269 V +FC Efficiency : -2.9725482904327946e+269 +FC Power : -2.3185876665375803e+269 W +FC Voltage : -2.3185876665375803e+270 V +Loss : 4.63717533307516e+269 V +PH2 : 0.19717074233280188 atm +PH2O : 0.2426831613626925 atm +PO2 : 0.1906263686382979 atm +Power-Thermal : 2.3185876665375803e+269 W +########### +I : 2.0 +E : 6.144553272737403 V +Eta Activation : 0.9103753288368093 V +Eta Concentration : 6.248702408698187 V +Eta Ohmic : 9.331810347802308e+270 V +FC Efficiency : -5.981929710129684e+270 +FC Power : -9.331810347802308e+271 W +FC Voltage : -4.665905173901154e+271 V +Loss : 9.331810347802308e+270 V +PH2 : 0.19690378508212852 atm +PH2O : 0.2423545830514502 atm +PO2 : 0.19047564471253012 atm +Power-Thermal : 9.331810347802308e+271 W +########### +I : 4.0 +E : 6.144553093215826 V +Eta Activation : 0.9106431331307118 V +Eta Concentration : 12.668858203852476 V +Eta Ohmic : 1.8785852500552963e+271 V +FC Efficiency : -1.2042213141380103e+271 +FC Power : -3.757170500110593e+272 W +FC Voltage : -9.392926250276482e+271 V +Loss : 1.8785852500552963e+271 V +PH2 : 0.19662277744984075 atm +PH2O : 0.24200871114487932 atm +PO2 : 0.19031698794856405 atm +Power-Thermal : 3.757170500110593e+272 W +########### +Report is generating ... +Warning : The value of I(>0.1) leads to minus amount of V, please check your inputs +Done! >>> shutil.rmtree("Padulles-Amphlett") ''' From 21a5adb96a21ab9a8240108414862fb895e077ca Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 19:02:18 +0330 Subject: [PATCH 189/204] fix : Larminie-Hauer testcases updated for I warning --- opem/Test/test_Padulles_Hauer.py | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) diff --git a/opem/Test/test_Padulles_Hauer.py b/opem/Test/test_Padulles_Hauer.py index 75f0d884..c6ce5147 100644 --- a/opem/Test/test_Padulles_Hauer.py +++ b/opem/Test/test_Padulles_Hauer.py @@ -429,6 +429,35 @@ False >>> qH2_Calc(qMethanol=None,CV=2,t1=2,t2=2) [Error] qH2 Calculation Failed (qMethanol:None, CV:2, t1:2, t2:2) +>>> Test_Vector={"T":2,"E0":-0.6,"N0":5,"KO2":0.0000211,"KH2":0.0000422,"KH2O":0.000007716,"tH2":3.37,"tO2":6.74,"t1":2,"t2":2,"tH2O":18.418,"B":0.04777,"C":0.0136,"Rint":0.00303,"rho":1.168,"qMethanol":0.0002,"CV":2,"i-start":0.1,"i-stop":4,"i-step":2,"Name":"test3"} +>>> Padulles_Hauer_Data=Dynamic_Analysis(InputMethod=Test_Vector, TestMode=True) +########### +Padulles-Hauer-Model Simulation +########### +Analyzing . . . +I : 0.1 +E : -3.00044655685555 V +FC Efficiency : -0.3442890552930171 +FC Power : -0.2685454631285534 W +FC Voltage : -2.6854546312855336 V +PH2 : 0.19717074233280188 atm +PH2O : 0.2426831613626925 atm +PO2 : 0.1906263686382979 atm +Power-Thermal : 0.8835454631285535 W +########### +I : 2.0 +E : -3.000446727262597 V +FC Efficiency : -0.3633740938974685 +FC Power : -5.6686358648005095 W +FC Voltage : -2.8343179324002548 V +PH2 : 0.19690378508212852 atm +PH2O : 0.2423545830514502 atm +PO2 : 0.19047564471253012 atm +Power-Thermal : 17.96863586480051 W +########### +Report is generating ... +Warning : The value of I(>0.1) leads to minus amount of V, please check your inputs +Done! >>> shutil.rmtree("Padulles-Hauer") ''' From 8ffe382547452b314eb4de8f906d7c0a1aaf4ee2 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 19:03:20 +0330 Subject: [PATCH 190/204] fix : Padulles1 testcases updated for I warning --- opem/Test/test_Padulles1.py | 31 +++++++++++++++++++++++++++++++ 1 file changed, 31 insertions(+) diff --git a/opem/Test/test_Padulles1.py b/opem/Test/test_Padulles1.py index 25d07b4e..1014ca81 100644 --- a/opem/Test/test_Padulles1.py +++ b/opem/Test/test_Padulles1.py @@ -409,6 +409,37 @@ [Error] Kr Calculation Failed (N0:None) >>> qO2_Calc(qH2=2,rho=0) [Error] qO2 Calculation Error (qH2:2, rho:0) +>>> Test_Vector={"T":343,"E0":-0.6,"N0":88,"KO2":0.0000211,"KH2":0.0000422,"tH2":3.37,"tO2":6.74,"B":0.04777,"C":0.0136,"Rint":0.00303,"rho":1.168,"qH2":0.0004,"i-start":0,"i-stop":4,"i-step":2,"Name":"test3"} +>>> Padulles_I_Data=Dynamic_Analysis(InputMethod=Test_Vector, TestMode=True) +########### +Padulles-I-Model Simulation +########### +Analyzing . . . +[Error] Vcell Calculation Error (Enernst:-51.31149442586593, B:0.04777, C:0.0136, I:0, Rint:0.00303) +[Error] PEM Efficiency Calculation Failed (Vcell:None, N:88) +[Error] Power Calculation Error (Vcell:None, i:0) +I : 0 +E : -51.31149442586593 V +FC Efficiency : None +FC Power : None W +FC Voltage : None V +PH2 : 2.169032719858579 atm +PO2 : 2.0969773162414582 atm +Power-Thermal : None W +########### +I : 2 +E : -51.31532972769885 V +FC Efficiency : -0.372590333135464 +FC Power : -102.29840186567301 W +FC Voltage : -51.14920093283651 V +PH2 : 2.1640869855303144 atm +PO2 : 2.0941849571956554 atm +Power-Thermal : 318.778401865673 W +########### +Report is generating ... +Warning : The value of I(>2) leads to minus amount of V, please check your inputs +Warning : There are errors in the simulations in some of I amounts; please refer to the .opem file for review. If you are confident about this parameters, ignore this error. +Done! >>> shutil.rmtree("Padulles-I") ''' From 55ff70a397a53f8ec2eb4fde2066b10a38657816 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 19:04:09 +0330 Subject: [PATCH 191/204] fix : Padulles2 testcases updated for I warning --- opem/Test/test_Padulles2.py | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) diff --git a/opem/Test/test_Padulles2.py b/opem/Test/test_Padulles2.py index 8e477549..5a939ebc 100644 --- a/opem/Test/test_Padulles2.py +++ b/opem/Test/test_Padulles2.py @@ -429,6 +429,35 @@ >>> Padulles_II_Data=Dynamic_Analysis(InputMethod={}, TestMode=True,PrintMode=False) >>> Padulles_II_Data["Status"] False +>>> Test_Vector={"T":343,"E0":-0.6,"N0":5,"KO2":0.0000211,"KH2":0.0000422,"KH2O":0.000007716,"tH2":3.37,"tO2":6.74,"tH2O":18.418,"B":0.04777,"C":0.0136,"Rint":0.00303,"rho":1.168,"qH2":0.0004,"i-start":0.1,"i-stop":4,"i-step":2,"Name":"test3"} +>>> Padulles_II_Data=Dynamic_Analysis(InputMethod=Test_Vector, TestMode=True) +########### +Padulles-II-Model Simulation +########### +Analyzing . . . +I : 0.1 +E : -2.9879877557800203 V +FC Efficiency : -0.3426917731038466 +FC Power : -0.2672995830210004 W +FC Voltage : -2.6729958302100036 V +PH2 : 2.169018669476965 atm +PH2O : 2.669687710942903 atm +PO2 : 2.09696938340326 atm +Power-Thermal : 0.8822995830210005 W +########### +I : 2.0 +E : -2.987990411525305 V +FC Efficiency : -0.36177713034140546 +FC Power : -5.643723233325925 W +FC Voltage : -2.8218616166629626 V +PH2 : 2.168751712226291 atm +PH2O : 2.669359132631661 atm +PO2 : 2.0968186594774925 atm +Power-Thermal : 17.943723233325926 W +########### +Report is generating ... +Warning : The value of I(>0.1) leads to minus amount of V, please check your inputs +Done! >>> shutil.rmtree("Padulles-II") ''' From 6d8e2e186e6820f4faa09ab5bf3e458eeac0866b Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 19:07:37 +0330 Subject: [PATCH 192/204] doc : INSTALL.md updated --- INSTALL.md | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/INSTALL.md b/INSTALL.md index cb058639..ebf7fa4e 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -34,4 +34,13 @@ For OPEM <= 0.5 targeting Windows < 10, the user needs to take special care to include the Visual C++ run-time .dlls: Python 3.5 uses Visual Studio 2015 run-time, which has been renamed into “Universal CRT“ and has become part of Windows 10. For Windows Vista through Windows 8.1 there are Windows update packages, which may or may not be installed in the target-system. So you have the following options: 1. Download OPEM >= 0.6 (Recommended) -2. Download and install [Visual C++ Redistributable for Visual Studio 2015](https://www.microsoft.com/en-us/download/details.aspx?id=48145) \ No newline at end of file +2. Download and install [Visual C++ Redistributable for Visual Studio 2015](https://www.microsoft.com/en-us/download/details.aspx?id=48145) + + +### System Requirements +OPEM will likely run on a modern dual core PC. Typical configuration is: + +- Dual Core CPU (2.0 Ghz+) +- 2GB of RAM + +Note that it may run on lower end equipment though good performance is not guaranteed. \ No newline at end of file From 2a7e25a955e864d13e2f55c0a3dc2bdf6546f46c Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 19:24:11 +0330 Subject: [PATCH 193/204] fix : minor edit in setup.py classifiers --- setup.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/setup.py b/setup.py index e2128133..e9b4ed46 100644 --- a/setup.py +++ b/setup.py @@ -62,7 +62,9 @@ def read_description(): 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', + 'Programming Language :: Python :: 3.7', 'Topic :: Scientific/Engineering :: Chemistry', + 'Topic :: Scientific/Engineering :: Physics', ], license='MIT', ) From 4d3e243ba795d17465c1cc490e0dcdabbef8c0cb Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Sun, 24 Feb 2019 19:24:54 +0330 Subject: [PATCH 194/204] fix : minor edit in setup.py description --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index e9b4ed46..726538d8 100644 --- a/setup.py +++ b/setup.py @@ -22,7 +22,7 @@ def read_description(): return description except Exception: return ''' - Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work as a powerful tool in the Research & + Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work as a powerful tool in the research & development of renewable energy sources. The Open-Source PEMFC Simulation Tool (OPEM) is a modeling tool for evaluating the performance of proton exchange membrane fuel cells. This package is a combination of models (static/dynamic) that predict the optimum operating parameters of PEMFC. OPEM contained generic models that From 45031e567ea403522a7d18b2a5015c408d1797e7 Mon Sep 17 00:00:00 2001 From: Mohammad Mahdi Rahimi Date: Tue, 26 Feb 2019 10:59:21 +0330 Subject: [PATCH 195/204] add build for unix systems --- build_unix.sh | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) create mode 100755 build_unix.sh diff --git a/build_unix.sh b/build_unix.sh new file mode 100755 index 00000000..647f8ed5 --- /dev/null +++ b/build_unix.sh @@ -0,0 +1,18 @@ +#bin/bash + +if [[ "$OSTYPE" == "linux-gnu" ]]; then + pyinstaller -y --clean --windowed OPEM.spec +elif [[ "$OSTYPE" == "darwin"* ]]; then + pyinstaller -y --clean --windowed OPEM.spec + pushd dist + hdiutil create ./Opem.dmg -srcfolder OPEM -ov + popd +elif [[ "$OSTYPE" == "cygwin" ]]; then + echo "You are usign $OSTYPE, that means you are using windows OS, so please run build_exe.bat instead." +elif [[ "$OSTYPE" == "msys" ]]; then + echo "You are usign $OSTYPE, that means you are using windows OS, so please run build_exe.bat instead." +elif [[ "$OSTYPE" == "msys" ]]; then + echo "You are usign $OSTYPE, that means you are using windows OS, so please run build_exe.bat instead." +else + echo "$OSTYPE is not compatiable. please add an issue for opem." +fi From 22a91b225e5880e64f29583208e8bdd5b53998c9 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Wed, 27 Feb 2019 01:14:01 +0330 Subject: [PATCH 196/204] fix : build_exe.bat updated --- build_exe.bat | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/build_exe.bat b/build_exe.bat index 0531ba1a..e958c0fe 100644 --- a/build_exe.bat +++ b/build_exe.bat @@ -1 +1,11 @@ -python -m PyInstaller OPEM.spec \ No newline at end of file +@echo off +python --version | find /i "Python 3.4" > nul +echo ----- +if errorlevel 1 ( + echo Warning : Please use Python 3.4.x +) else ( + echo Python version check done! +) +echo ----- +python -m PyInstaller OPEM.spec +pause \ No newline at end of file From 1b6332e4eba28b418604b7b72fe75d7a6c4d1fcc Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Wed, 27 Feb 2019 01:28:05 +0330 Subject: [PATCH 197/204] fix : Exe and dmg file links updated --- INSTALL.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/INSTALL.md b/INSTALL.md index ebf7fa4e..d0bcf75c 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -18,13 +18,13 @@ ### Exe Version (Only Windows) -- Download [Exe-Version 1.0](https://www.dropbox.com/s/if22p5mofl7s2oh/OPEM%28v0.9%29.zip?dl=00) +- Download [Exe-Version 1.0](https://github.com/ECSIM/opem/releases/download/v1.0/OPEM-1.0.exe) - Extract Zip file - Run `OPEM.exe` ### DMG Version (MacOS) -- Download [DMG-Version 1.0](https://www.dropbox.com/s/86f25jvciq2g7qf/OPEM%28v0.9%29.dmg?dl=0) +- Download [DMG-Version 1.0](https://github.com/ECSIM/opem/releases/download/v1.0/OPEM-1.0.dmg) - Open DMG file - Copy `OPEM` into your system - Run `OPEM` From 55c493ae34c3168dc1c63cad8e705790130c390e Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Wed, 27 Feb 2019 01:30:36 +0330 Subject: [PATCH 198/204] fix : version_check updated for new exe and dmg location --- version_check.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/version_check.py b/version_check.py index 669c3ae2..01560b14 100644 --- a/version_check.py +++ b/version_check.py @@ -15,8 +15,8 @@ 'https://github.com/ecsim/opem/tarball/v{0}'] INSTALL_ITEMS = [ "[Version {0}](https://github.com/ecsim/opem/archive/v{0}.zip)", - "[Exe-Version {0}]", - "[DMG-Version {0}]"] + "[Exe-Version {0}](https://github.com/ECSIM/opem/releases/download/v{0}/OPEM-{0}.exe)", + "[DMG-Version {0}](https://github.com/ECSIM/opem/releases/download/v{0}/OPEM-{0}.dmg)"] CHANGELOG_ITEMS = [ "## [{0}]", "https://github.com/ECSIM/opem/compare/v{0}...develop", From 8eedc4f5b0a3d3eda4d35f27ea4a4349098e6f80 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Thu, 28 Feb 2019 17:26:58 +0330 Subject: [PATCH 199/204] doc : CHANGELOG updated --- CHANGELOG.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 914cb31e..9dd10436 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,19 +5,20 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/) and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html). ## [Unreleased] -## [1.0] - 2019-02-22 +## [1.0] - 2019-02-28 ### Added - Interactive notebooks section - `version_check.py` - `CODE_OF_CONDUCT.md` - `ISSUE_TEMPLATE.md` - `PULL_REQUEST_TEMPLATE.md` -- `vulture` test -- `bandit` test - `build_exe.bat` +- `build_unix.sh` +- Anaconda cloud package ### Changed - Document modified +- Test system modified - `README.md` modified - `dev-requirements.txt` modified - `requirements.txt` modified From d9219216c7ab04f116aa6c156324612f3cc2728b Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Thu, 28 Feb 2019 17:41:39 +0330 Subject: [PATCH 200/204] doc : conda section added to INSTALL.md --- INSTALL.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/INSTALL.md b/INSTALL.md index d0bcf75c..1a4f99da 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -16,6 +16,10 @@ - Run `easy_install --upgrade opem` (Need root access) +### Conda + +- Check [Conda Managing Package](https://conda.io/docs/user-guide/tasks/manage-pkgs.html#installing-packages-from-anaconda-org) +- `conda install -c ECSIM opem` (Need root access) ### Exe Version (Only Windows) - Download [Exe-Version 1.0](https://github.com/ECSIM/opem/releases/download/v1.0/OPEM-1.0.exe) From d3d92a76be8004355a754263dafe7c3b57fa1c3d Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Thu, 28 Feb 2019 17:46:30 +0330 Subject: [PATCH 201/204] doc : minor edit in exe section in INSTALL.md --- INSTALL.md | 1 - 1 file changed, 1 deletion(-) diff --git a/INSTALL.md b/INSTALL.md index 1a4f99da..bf854cb1 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -23,7 +23,6 @@ ### Exe Version (Only Windows) - Download [Exe-Version 1.0](https://github.com/ECSIM/opem/releases/download/v1.0/OPEM-1.0.exe) -- Extract Zip file - Run `OPEM.exe` From a5a45ea0a250afbaa01e36170f16aec9d8f63879 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 1 Mar 2019 01:41:54 +0330 Subject: [PATCH 202/204] doc : CHANGELOG date updated --- CHANGELOG.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 9dd10436..c8edf85d 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,7 +5,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/) and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html). ## [Unreleased] -## [1.0] - 2019-02-28 +## [1.0] - 2019-03-01 ### Added - Interactive notebooks section - `version_check.py` From 11cbca2db770e886f0ab6450af73316836efa16b Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 1 Mar 2019 02:08:30 +0330 Subject: [PATCH 203/204] fix : setup.py modified --- setup.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 726538d8..af295c85 100644 --- a/setup.py +++ b/setup.py @@ -55,8 +55,9 @@ def read_description(): install_requires=get_requirements(), python_requires='>=3.4', classifiers=[ - 'Development Status :: 3 - Alpha', + 'Development Status :: 5 - Production/Stable', 'Intended Audience :: End Users/Desktop', + 'Intended Audience :: Developers', 'License :: OSI Approved :: MIT License', 'Operating System :: OS Independent', 'Programming Language :: Python :: 3.4', From c6397e3750f40ef58c431bac804c7ec6b19317d5 Mon Sep 17 00:00:00 2001 From: sepandhaghighi Date: Fri, 1 Mar 2019 02:59:06 +0330 Subject: [PATCH 204/204] doc : conda badge added #14 --- INSTALL.md | 2 +- README.md | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/INSTALL.md b/INSTALL.md index bf854cb1..fa8c0803 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -19,7 +19,7 @@ ### Conda - Check [Conda Managing Package](https://conda.io/docs/user-guide/tasks/manage-pkgs.html#installing-packages-from-anaconda-org) -- `conda install -c ECSIM opem` (Need root access) +- `conda install -c ecsim opem` (Need root access) ### Exe Version (Only Windows) - Download [Exe-Version 1.0](https://github.com/ECSIM/opem/releases/download/v1.0/OPEM-1.0.exe) diff --git a/README.md b/README.md index d3ae132e..e76a770d 100644 --- a/README.md +++ b/README.md @@ -6,6 +6,7 @@ PyPI version +