split grouping years for power and heat techs
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@ -134,7 +134,8 @@ solar_thermal:
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# only relevant for foresight = myopic or perfect
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existing_capacities:
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grouping_years: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020, 2025, 2030]
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grouping_years_power: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020, 2025, 2030]
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grouping_years_heat: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019] # these should not extend 2020
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threshold_capacity: 10
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conventional_carriers:
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- lignite
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@ -294,7 +294,7 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
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)
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def add_heating_capacities_installed_before_baseyear(n, baseyear, ashp_cop, gshp_cop, time_dep_hp_cop, costs, default_lifetime):
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def add_heating_capacities_installed_before_baseyear(n, baseyear, grouping_years, ashp_cop, gshp_cop, time_dep_hp_cop, costs, default_lifetime):
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"""
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Parameters
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----------
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@ -314,7 +314,7 @@ def add_heating_capacities_installed_before_baseyear(n, baseyear, ashp_cop, gshp
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# https://ec.europa.eu/energy/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment_en?redir=1
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# file: "WP2_DataAnnex_1_BuildingTechs_ForPublication_201603.xls" -> "existing_heating_raw.csv".
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# TODO start from original file
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grouping_years = [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019]
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# retrieve existing heating capacities
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techs = [
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'gas boiler',
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@ -505,14 +505,16 @@ if __name__ == "__main__":
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snakemake.config['costs']['lifetime']
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)
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grouping_years = snakemake.config['existing_capacities']['grouping_years']
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add_power_capacities_installed_before_baseyear(n, grouping_years, costs, baseyear)
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grouping_years_power = snakemake.config['existing_capacities']['grouping_years_power']
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grouping_years_heat = snakemake.config['existing_capacities']['grouping_years_heat']
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add_power_capacities_installed_before_baseyear(n, grouping_years_power, costs, baseyear)
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if "H" in opts:
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time_dep_hp_cop = options["time_dep_hp_cop"]
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ashp_cop = xr.open_dataarray(snakemake.input.cop_air_total).to_pandas().reindex(index=n.snapshots)
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gshp_cop = xr.open_dataarray(snakemake.input.cop_soil_total).to_pandas().reindex(index=n.snapshots)
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default_lifetime = snakemake.config['costs']['lifetime']
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add_heating_capacities_installed_before_baseyear(n, baseyear, ashp_cop, gshp_cop, time_dep_hp_cop, costs, default_lifetime)
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add_heating_capacities_installed_before_baseyear(n, baseyear, grouping_years_heat,
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ashp_cop, gshp_cop, time_dep_hp_cop, costs, default_lifetime)
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n.export_to_netcdf(snakemake.output[0])
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