Merge branch 'feature/rename-existing-capacities' of github.com:Climact/pypsa-eur-climact into Climact-feature/rename-existing-capacities

doc/release_notes.rst

@@ -220,6 +220,7 @@ Upcoming Release
 
 * Add documentation section for how to contribute documentation
 
+* Clarify suffix usage in `add_existing_baseyear`.
 
 PyPSA-Eur 0.10.0 (19th February 2024)
 =====================================

scripts/add_existing_baseyear.py

@@ -163,7 +163,7 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
 
     technology_to_drop = ["Pv", "Storage Technologies"]
 
-    # drop unused fueltyps and technologies
+    # drop unused fueltypes and technologies
     df_agg.drop(df_agg.index[df_agg.Fueltype.isin(fueltype_to_drop)], inplace=True)
     df_agg.drop(df_agg.index[df_agg.Technology.isin(technology_to_drop)], inplace=True)
     df_agg.Fueltype = df_agg.Fueltype.map(rename_fuel)
@@ -252,6 +252,7 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
         ]
         suffix = "-ac" if generator == "offwind" else ""
         name_suffix = f" {generator}{suffix}-{grouping_year}"
+        name_suffix_by = f" {generator}{suffix}-{baseyear}"
         asset_i = capacity.index + name_suffix
         if generator in ["solar", "onwind", "offwind"]:
             # to consider electricity grid connection costs or a split between
@@ -281,21 +282,11 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
 
                     # for offshore the splitting only includes coastal regions
                     inv_ind = [
-                        i
+                        i for i in inv_ind if (i + name_suffix_by) in n.generators.index
-                        for i in inv_ind
-                        if (i + name_suffix)
-                        in n.generators.index.str.replace(
-                            str(baseyear), str(grouping_year)
-                        )
                     ]
 
-                    p_max_pu = n.generators_t.p_max_pu[
+                    p_max_pu = n.generators_t.p_max_pu[[i + name_suffix_by for i in inv_ind]]
-                        [i + name_suffix for i in inv_ind]
+                    p_max_pu.columns = [i + name_suffix for i in inv_ind]
-                    ]
-                    p_max_pu.columns = [
-                        i + name_suffix.replace(str(grouping_year), str(baseyear))
-                        for i in inv_ind
-                    ]
 
                     n.madd(
                         "Generator",
@@ -313,9 +304,7 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
                     )
 
             else:
-                p_max_pu = n.generators_t.p_max_pu[
+                p_max_pu = n.generators_t.p_max_pu[capacity.index + name_suffix_by]
-                    capacity.index + f" {generator}{suffix}-{baseyear}"
-                ]
 
                 if not new_build.empty:
                     n.madd(
@@ -441,7 +430,7 @@ def add_heating_capacities_installed_before_baseyear(
         linear decommissioning of heating capacities from 2020 to 2045 is
         currently assumed heating capacities split between residential and
         services proportional to heating load in both 50% capacities
-        in rural busess 50% in urban buses
+        in rural buses 50% in urban buses
     """
     logger.debug(f"Adding heating capacities installed before {baseyear}")
 

scripts/build_industry_sector_ratios.py

@@ -313,7 +313,7 @@ def chemicals_industry():
     df.loc["methane", sector] += s_fec["Natural gas"]
 
     # LPG and other feedstock materials are assimilated to naphtha
-    # since they will be produced through Fischer-Tropsh process
+    # since they will be produced through Fischer-Tropsch process
     sel = [
         "Solids",
         "Refinery gas",