adjust script to new grouping years
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lisazeyen
parent
f10628930e
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18f4eac351
@ -193,24 +193,33 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
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for grouping_year, generator in df.index:
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# capacity is the capacity in MW at each node for this
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capacity = df.loc[grouping_year, generator]
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capacity = capacity[~capacity.isna()]
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capacity = capacity[capacity > snakemake.config['existing_capacities']['threshold_capacity']]
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suffix = '-ac' if generator == 'offwind' else ''
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name_suffix = f' {generator}{suffix}-{baseyear}'
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asset_i = capacity.index + name_suffix
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if generator in ['solar', 'onwind', 'offwind']:
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suffix = '-ac' if generator == 'offwind' else ''
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name_suffix = f' {generator}{suffix}-{baseyear}'
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# to consider electricity grid connection costs or a split between
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# solar utility and rooftop as well, rather take cost assumptions
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# from existing network than from the cost database
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capital_cost = n.generators.loc[n.generators.carrier==generator+suffix, "capital_cost"].mean()
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# check if assets are already in network (e.g. for 2020)
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already_build = n.generators.index.intersection(asset_i)
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new_build = asset_i.difference(n.generators.index)
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# this is for the year 2020
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if not already_build.empty:
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n.generators.loc[already_build, "p_nom_min"] = capacity.loc[already_build.str.replace(name_suffix, "")].values
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new_capacity = capacity.loc[new_build.str.replace(name_suffix, "")]
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if 'm' in snakemake.wildcards.clusters:
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for ind in capacity.index:
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for ind in new_capacity.index:
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# existing capacities are split evenly among regions in every country
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inv_ind = [i for i in inv_busmap[ind]]
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@ -225,7 +234,7 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
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[i + name_suffix for i in inv_ind],
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bus=ind,
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carrier=generator,
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p_nom=capacity[ind] / len(inv_ind), # split among regions in a country
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p_nom=new_capacity[ind] / len(inv_ind), # split among regions in a country
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marginal_cost=costs.at[generator,'VOM'],
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capital_cost=capital_cost,
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efficiency=costs.at[generator, 'efficiency'],
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@ -238,43 +247,54 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
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p_max_pu = n.generators_t.p_max_pu[capacity.index + name_suffix]
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n.madd("Generator",
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capacity.index,
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suffix=' ' + generator +"-"+ str(grouping_year),
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bus=capacity.index,
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carrier=generator,
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p_nom=capacity,
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marginal_cost=costs.at[generator, 'VOM'],
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capital_cost=capital_cost,
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efficiency=costs.at[generator, 'efficiency'],
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p_max_pu=p_max_pu.rename(columns=n.generators.bus),
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build_year=grouping_year,
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lifetime=costs.at[generator, 'lifetime']
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)
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if not new_build.empty:
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n.madd("Generator",
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new_capacity.index,
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suffix=' ' + generator + name_suffix,
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bus=new_capacity.index,
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carrier=generator,
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p_nom=new_capacity,
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marginal_cost=costs.at[generator, 'VOM'],
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capital_cost=capital_cost,
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efficiency=costs.at[generator, 'efficiency'],
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p_max_pu=p_max_pu.rename(columns=n.generators.bus),
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build_year=grouping_year,
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lifetime=costs.at[generator, 'lifetime']
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)
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else:
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bus0 = vars(spatial)[carrier[generator]].nodes
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if "EU" not in vars(spatial)[carrier[generator]].locations:
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bus0 = bus0.intersection(capacity.index + " gas")
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n.madd("Link",
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capacity.index,
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suffix= " " + generator +"-" + str(grouping_year),
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bus0=bus0,
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bus1=capacity.index,
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bus2="co2 atmosphere",
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carrier=generator,
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marginal_cost=costs.at[generator, 'efficiency'] * costs.at[generator, 'VOM'], #NB: VOM is per MWel
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capital_cost=costs.at[generator, 'efficiency'] * costs.at[generator, 'fixed'], #NB: fixed cost is per MWel
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p_nom=capacity / costs.at[generator, 'efficiency'],
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efficiency=costs.at[generator, 'efficiency'],
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efficiency2=costs.at[carrier[generator], 'CO2 intensity'],
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build_year=grouping_year,
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lifetime=costs.at[generator, 'lifetime']
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)
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already_build = n.links.index.intersection(asset_i)
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new_build = asset_i.difference(n.links.index)
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# this is for the year 2020
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if not already_build.empty:
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n.links.loc[already_build, "p_nom_min"] = capacity.loc[already_build.str.replace(name_suffix, "")].values
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if not new_build.empty:
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new_capacity = capacity.loc[new_build.str.replace(name_suffix, "")]
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n.madd("Link",
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new_capacity.index,
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suffix= name_suffix,
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bus0=bus0,
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bus1=new_capacity.index,
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bus2="co2 atmosphere",
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carrier=generator,
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marginal_cost=costs.at[generator, 'efficiency'] * costs.at[generator, 'VOM'], #NB: VOM is per MWel
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capital_cost=costs.at[generator, 'efficiency'] * costs.at[generator, 'fixed'], #NB: fixed cost is per MWel
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p_nom=capacity / costs.at[generator, 'efficiency'],
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efficiency=costs.at[generator, 'efficiency'],
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efficiency2=costs.at[carrier[generator], 'CO2 intensity'],
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build_year=grouping_year,
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lifetime=costs.at[generator, 'lifetime']
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)
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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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def add_heating_capacities_installed_before_baseyear(n, baseyear, 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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@ -294,7 +314,7 @@ def add_heating_capacities_installed_before_baseyear(n, baseyear, grouping_years
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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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@ -454,10 +474,10 @@ if __name__ == "__main__":
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snakemake = mock_snakemake(
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'add_existing_baseyear',
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simpl='',
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clusters="37",
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clusters="45",
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lv=1.0,
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opts='',
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sector_opts='168H-T-H-B-I-solar+p3-dist1',
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sector_opts='cb40ex0-365H-T-H-B-I-A-solar+p3-dist1',
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planning_horizons=2020,
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)
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@ -493,6 +513,6 @@ if __name__ == "__main__":
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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, grouping_years, ashp_cop, gshp_cop, time_dep_hp_cop, costs, default_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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n.export_to_netcdf(snakemake.output[0])
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