prepare_re_potential

Inputs

filename_pv_agriculturestr

raw/area_potential/2021-05-18_pv_agriculture_brandenburg_kreise_epsg32633.csv: Path incl. file name of area potential of agriculture pv

filename_pv_road_railwaystr

raw/area_potential/2021-05-18_pv_road_railway_brandenburg_kreise_epsg32633.csv: Path incl. file name of area potential of roads and railway pv

filename_windstr

raw/area_potential/2021-05-18_wind_brandenburg_kreise_epsg32633.csv: Path incl. file name of area potential wind

filename_kreisestr

raw/lookup_table_brandenburg_kreise.csv: Path incl. file name of lookup table Kreise and NUTS of Brandenburg

filename_assumptionsstr

raw/scalars/potentials.csv: Path incl. file name of assumptions

output_dirstr

results/_resources/RE_potential/: Path of output directory where power and area potential of single areas and of “Landkreise” is saved

Outputs

pd.DataFrame

Multiple data frames with power and area potential for single areas and aggregated to “Landkreise”. For details see ‘Description’ below.

Description

Please note that this script is not integrated into the pipeline, yet.

Calculates the area and power potential of photovoltaics and wind energy. The area of single areas are retrieved from csv-files and processed. The resulting area and power potential for “Landkreise” is saved in output_dir/power_potential_wind_kreise.csv for wind and in output_dir/power_potential_pv_kreise.csv for pv:

  • power potential in column ‘power_potential’

  • power potential after reducing by degree of agreement in column ‘power_potential_agreed’

  • area potential in column ‘area’

  • overlapping area in columns ‘overlap_pv_agriculture_area’, ‘overlap_pv_road_railway_area’, only for pv: ‘overlap_wind_area’

Additionally, saves the following data in output_dir:

  • joined pv area potential from filename_pv_agriculture and filename_pv_road_railway of single areas in column ‘area_raw’ in “area_potential_single_areas_pv_raw.csv”

  • area potential of single areas in column ‘area’ in f”area_potential_single_areas_{type}.csv” for type in [‘wind’, ‘pv’]

  • power potential of single areas in column ‘power_potential’ and reduced power potential (by degree of agreement) in column ‘power_potential_agreed’ in f”power_potential_single_areas_{type}.csv” for type in [‘wind’, ‘pv’]