Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Implement timeseries extraction based on user inputs #25

Open
henhuy opened this issue Sep 9, 2024 · 0 comments
Open

Implement timeseries extraction based on user inputs #25

henhuy opened this issue Sep 9, 2024 · 0 comments
Assignees
Labels
enhancement New feature or request

Comments

@henhuy
Copy link
Contributor

henhuy commented Sep 9, 2024

A module for extraction of different timeseries shall be implemented.
The module must contain following functions:

  • COP, depending on medium and type
  • hotwater, depending on number of persons in household
  • load, depending on SEK (Stromeffizienzklasse) and number of persons in household
  • PV, depending on Höhenwinkel, Ausrichtungswinkel and type
  • solarthermal, , depending on Höhenwinkel, Ausrichtungswinkel and type

As data is in minutes, output might be resampled into hourly values (optional) -> see pandas.resample

Timeseries data must be downloaded and copied into folder building_dialouge_webapp/heat/data/.
New module extraction.py (or similar) shoudl be placed within building_dialouge_webapp/heat/.
later on, this data will be transferred to oemof tabular datapackage (in another issue).

Timeseries & Description of OEPROM implementation:
https://wolke.rl-institut.de/apps/files/?dir=/393_building-dialogue/Projektinhalte/AP2_Modellsynthese/Umsetzung%20OeProm&fileid=812662

@henhuy henhuy added the enhancement New feature or request label Sep 9, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

2 participants