move storage parameters to dedicated table

app/layout_elements.py

@@ -267,6 +267,7 @@ def display_and_edit_input_data(
         "specific_costs",
         "conversion_coefficients",
         "dac_and_desalination",
+        "storage",
     ],
     scope: Literal["world", "Argentina", "Morocco", "South Africa"],
     key: str,
@@ -320,6 +321,7 @@ def display_and_edit_input_data(
         "transportation_processes",
         "reconversion_processes",
         "dac_and_desalination",
+        "storage",
     ]:
         index = "process_code"
         columns = "parameter_code"
@@ -416,6 +418,11 @@ def display_and_edit_input_data(
         missing_index_value = "conversion factors"
         column_config = get_column_config()
 
+    if data_type == "storage":
+        column_config["OPEX (fix)"] = st.column_config.NumberColumn(
+            format="%.2f USD/kW", min_value=0
+        )
+
     df = change_index_names(df)
 
     # if editing is enabled, store modifications in session_state:

app/ptxboa_functions.py

@@ -271,6 +271,7 @@ def get_data_type_from_input_data(
         "specific_costs",
         "conversion_coefficients",
         "dac_and_desalination",
+        "storage",
     ],
     scope: Literal[None, "world", "Argentina", "Morocco", "South Africa"],
 ) -> pd.DataFrame:
@@ -329,6 +330,7 @@ def get_data_type_from_input_data(
         "transportation_processes",
         "reconversion_processes",
         "dac_and_desalination",
+        "storage",
     ]:
         scope = None
         source_region_code = [""]
@@ -398,6 +400,8 @@ def get_data_type_from_input_data(
         process_code = processes.loc[
             processes["is_transport"] & ~processes["is_transformation"], "process_name"
         ].to_list()
+        # remove storage processes
+        process_code = [c for c in process_code if "storage" not in c]
 
     if data_type == "reconversion_processes":
         parameter_code = [
@@ -427,6 +431,17 @@ def get_data_type_from_input_data(
             "PV tilted",
         ]
 
+    if data_type == "storage":
+        parameter_code = [
+            "CAPEX",
+            "OPEX (fix)",
+            "lifetime / amortization period",
+            "efficiency",
+        ]
+        process_code = processes.loc[
+            processes["process_name"].str.contains("storage"), "process_name"
+        ].to_list()
+
     df = subset_and_pivot_input_data(
         input_data,
         source_region_code=source_region_code,

app/tab_input_data.py

@@ -115,6 +115,27 @@ def content_input_data(api: PtxboaAPI) -> None:
                 scope=None,
                 key="input_data_conversion_processes",
             )
+        with st.expander("**Storage**"):
+            st.caption(
+                (
+                    "- Storage CAPEX are defined per charging power.\n"
+                    "- Efficiencies are round-trip.\n"
+                    "- Time-dependent losses are neglected.\n"
+                    "- For electricity storage (batteries) we assume a fixed ratio of 4"
+                    " MWh storage capacity per MW charging power\n"
+                    " and equal charging/discharging power.\n"
+                    "- For hydrogen storage (tanks) we assume storage capacity and"
+                    " discharge power to be non-binding because the comporessor is by"
+                    " far the most expensive component."
+                )
+            )
+            display_and_edit_input_data(
+                api,
+                data_type="storage",
+                scope=None,
+                key="input_data_storage",
+            )
+
         with st.expander("**Transportation (ships and pipelines)**"):
             st.caption(
                 (