pass heat source/system type to prepare_sector_network and add_existing_baseyear
This commit is contained in:
AmosSchledorn
parent
0edf566e3f
commit
29479c50d0
@ -417,9 +417,9 @@ sector:
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isentropic_compressor_efficiency: 0.8
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heat_loss: 0.0
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heat_pump_sources:
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central_heating:
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central:
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- air
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decentral_heating:
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decentral:
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- air
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- ground
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cluster_heat_buses: true
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@ -214,6 +214,13 @@ rule build_temperature_profiles:
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script:
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"../scripts/build_temperature_profiles.py"
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# def output_cop(wildcards):
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# return {
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# f"cop_{source}_{sink}": resources(
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# "cop_" + source + "_" + sink + "_" + "elec_s{simpl}_{clusters}.nc"
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# )
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# for sink, source in config["sector"]["heat_pump_sources"].items()
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# }
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rule build_cop_profiles:
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params:
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@ -237,21 +244,7 @@ rule build_cop_profiles:
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temp_soil_total=resources("temp_soil_total_elec_s{simpl}_{clusters}.nc"),
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temp_air_total=resources("temp_air_total_elec_s{simpl}_{clusters}.nc"),
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output:
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**{f"cop_{source}_{sink}": resources(
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"cop_" + source + "_" + {sink} + "_" + "elec_s{simpl}_{clusters}.nc"
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) for sink, source in config_provider("sector", "heat_pump_sources").items()},
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# cop_air_decentral_heating=resources(
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# "cop_air_decentral_heating_elec_s{simpl}_{clusters}.nc"
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# ),
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# cop_soil_decentral_heating=resources(
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# "cop_soil_decentral_heating_elec_s{simpl}_{clusters}.nc"
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# ),
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# cop_air_central_heating=resources(
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# "cop_air_central_heating_elec_s{simpl}_{clusters}.nc"
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# ),
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# cop_soil_central_heating=resources(
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# "cop_soil_central_heating_elec_s{simpl}_{clusters}.nc"
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# ),
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cop_profiles=resources("cop_profiles_elec_s{simpl}_{clusters}.nc"),
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resources:
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mem_mb=20000,
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log:
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@ -969,6 +962,7 @@ rule prepare_sector_network:
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adjustments=config_provider("adjustments", "sector"),
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emissions_scope=config_provider("energy", "emissions"),
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RDIR=RDIR,
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heat_pump_sources=config_provider("sector", "heat_pump_sources"),
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input:
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unpack(input_profile_offwind),
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**rules.cluster_gas_network.output,
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@ -1045,18 +1039,7 @@ rule prepare_sector_network:
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),
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temp_soil_total=resources("temp_soil_total_elec_s{simpl}_{clusters}.nc"),
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temp_air_total=resources("temp_air_total_elec_s{simpl}_{clusters}.nc"),
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cop_soil_decentral_heating=resources(
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"cop_soil_decentral_heating_elec_s{simpl}_{clusters}.nc"
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),
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cop_air_decentral_heating=resources(
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"cop_air_decentral_heating_elec_s{simpl}_{clusters}.nc"
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),
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cop_air_central_heating=resources(
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"cop_air_central_heating_elec_s{simpl}_{clusters}.nc"
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),
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cop_soil_central_heating=resources(
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"cop_soil_central_heating_elec_s{simpl}_{clusters}.nc"
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),
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cop_profiles=resources("cop_profiles_elec_s{simpl}_{clusters}.nc"),
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solar_thermal_total=lambda w: (
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resources("solar_thermal_total_elec_s{simpl}_{clusters}.nc")
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if config_provider("sector", "solar_thermal")(w)
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@ -9,6 +9,7 @@ rule add_existing_baseyear:
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sector=config_provider("sector"),
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existing_capacities=config_provider("existing_capacities"),
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costs=config_provider("costs"),
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heat_pump_sources=config_provider("sector", "heat_pump_sources"),
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input:
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network=RESULTS
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+ "prenetworks/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_{planning_horizons}.nc",
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@ -21,18 +22,7 @@ rule add_existing_baseyear:
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config_provider("scenario", "planning_horizons", 0)(w)
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)
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),
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cop_soil_decentral_heating=resources(
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"cop_soil_decentral_heating_elec_s{simpl}_{clusters}.nc"
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),
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cop_air_decentral_heating=resources(
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"cop_air_decentral_heating_elec_s{simpl}_{clusters}.nc"
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),
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cop_air_central_heating=resources(
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"cop_air_central_heating_elec_s{simpl}_{clusters}.nc"
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),
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cop_soil_central_heating=resources(
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"cop_soil_central_heating_elec_s{simpl}_{clusters}.nc"
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),
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cop_profiles=resources("cop_profiles_elec_s{simpl}_{clusters}.nc"),
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existing_heating_distribution=resources(
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"existing_heating_distribution_elec_s{simpl}_{clusters}_{planning_horizons}.csv"
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),
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@ -442,27 +442,27 @@ def add_heating_capacities_installed_before_baseyear(
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"""
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logger.debug(f"Adding heating capacities installed before {baseyear}")
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for name in existing_heating.columns.get_level_values(0).unique():
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name_type = "central" if name == "urban central" else "decentral"
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for heat_system in existing_heating.columns.get_level_values(0).unique():
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system_type = "central" if heat_system == "urban central" else "decentral"
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nodes = pd.Index(n.buses.location[n.buses.index.str.contains(f"{name} heat")])
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nodes = pd.Index(n.buses.location[n.buses.index.str.contains(f"{heat_system} heat")])
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if (name_type != "central") and options["electricity_distribution_grid"]:
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if (system_type != "central") and options["electricity_distribution_grid"]:
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nodes_elec = nodes + " low voltage"
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else:
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nodes_elec = nodes
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heat_pump_type = "air" if "urban" in name else "ground"
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# Add heat pumps
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costs_name = f"decentral {heat_pump_type}-sourced heat pump"
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heat_source = snakemake.params.heat_pump_sources[system_type]
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costs_name = f"{system_type} {heat_source}-sourced heat pump"
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efficiency = (
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cop[f"{heat_pump_type} {name_type}"][nodes]
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if time_dep_hp_cop
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cop.sel(heat_system=system_type, heat_source=heat_source, name=nodes).to_pandas().reindex(index=n.snapshots)
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if options["time_dep_hp_cop"]
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else costs.at[costs_name, "efficiency"]
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)
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too_large_grouping_years = [gy for gy in grouping_years if gy >= int(baseyear)]
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if too_large_grouping_years:
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logger.warning(
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@ -491,14 +491,14 @@ def add_heating_capacities_installed_before_baseyear(
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n.madd(
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"Link",
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nodes,
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suffix=f" {name} {heat_pump_type} heat pump-{grouping_year}",
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suffix=f" {heat_system} {heat_source} heat pump-{grouping_year}",
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bus0=nodes_elec,
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bus1=nodes + " " + name + " heat",
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carrier=f"{name} {heat_pump_type} heat pump",
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bus1=nodes + " " + heat_system + " heat",
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carrier=f"{heat_system} {heat_source} heat pump",
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efficiency=efficiency,
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capital_cost=costs.at[costs_name, "efficiency"]
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* costs.at[costs_name, "fixed"],
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p_nom=existing_heating.loc[nodes, (name, f"{heat_pump_type} heat pump")]
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p_nom=existing_heating.loc[nodes, (heat_system, f"{heat_source} heat pump")]
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* ratio
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/ costs.at[costs_name, "efficiency"],
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build_year=int(grouping_year),
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@ -509,66 +509,66 @@ def add_heating_capacities_installed_before_baseyear(
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n.madd(
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"Link",
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nodes,
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suffix=f" {name} resistive heater-{grouping_year}",
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suffix=f" {heat_system} resistive heater-{grouping_year}",
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bus0=nodes_elec,
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bus1=nodes + " " + name + " heat",
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carrier=name + " resistive heater",
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efficiency=costs.at[f"{name_type} resistive heater", "efficiency"],
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bus1=nodes + " " + heat_system + " heat",
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carrier=heat_system + " resistive heater",
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efficiency=costs.at[f"{system_type} resistive heater", "efficiency"],
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capital_cost=(
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costs.at[f"{name_type} resistive heater", "efficiency"]
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* costs.at[f"{name_type} resistive heater", "fixed"]
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costs.at[f"{system_type} resistive heater", "efficiency"]
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* costs.at[f"{system_type} resistive heater", "fixed"]
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),
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p_nom=(
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existing_heating.loc[nodes, (name, "resistive heater")]
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existing_heating.loc[nodes, (heat_system, "resistive heater")]
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* ratio
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/ costs.at[f"{name_type} resistive heater", "efficiency"]
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/ costs.at[f"{system_type} resistive heater", "efficiency"]
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),
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build_year=int(grouping_year),
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lifetime=costs.at[f"{name_type} resistive heater", "lifetime"],
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lifetime=costs.at[f"{system_type} resistive heater", "lifetime"],
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)
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n.madd(
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"Link",
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nodes,
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suffix=f" {name} gas boiler-{grouping_year}",
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suffix=f" {heat_system} gas boiler-{grouping_year}",
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bus0="EU gas" if "EU gas" in spatial.gas.nodes else nodes + " gas",
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bus1=nodes + " " + name + " heat",
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bus1=nodes + " " + heat_system + " heat",
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bus2="co2 atmosphere",
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carrier=name + " gas boiler",
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efficiency=costs.at[f"{name_type} gas boiler", "efficiency"],
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carrier=heat_system + " gas boiler",
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efficiency=costs.at[f"{system_type} gas boiler", "efficiency"],
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efficiency2=costs.at["gas", "CO2 intensity"],
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capital_cost=(
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costs.at[f"{name_type} gas boiler", "efficiency"]
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* costs.at[f"{name_type} gas boiler", "fixed"]
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costs.at[f"{system_type} gas boiler", "efficiency"]
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* costs.at[f"{system_type} gas boiler", "fixed"]
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),
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p_nom=(
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existing_heating.loc[nodes, (name, "gas boiler")]
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existing_heating.loc[nodes, (heat_system, "gas boiler")]
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* ratio
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/ costs.at[f"{name_type} gas boiler", "efficiency"]
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/ costs.at[f"{system_type} gas boiler", "efficiency"]
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),
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build_year=int(grouping_year),
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lifetime=costs.at[f"{name_type} gas boiler", "lifetime"],
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lifetime=costs.at[f"{system_type} gas boiler", "lifetime"],
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)
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n.madd(
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"Link",
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nodes,
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suffix=f" {name} oil boiler-{grouping_year}",
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suffix=f" {heat_system} oil boiler-{grouping_year}",
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bus0=spatial.oil.nodes,
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bus1=nodes + " " + name + " heat",
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bus1=nodes + " " + heat_system + " heat",
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bus2="co2 atmosphere",
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carrier=name + " oil boiler",
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carrier=heat_system + " oil boiler",
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efficiency=costs.at["decentral oil boiler", "efficiency"],
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efficiency2=costs.at["oil", "CO2 intensity"],
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capital_cost=costs.at["decentral oil boiler", "efficiency"]
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* costs.at["decentral oil boiler", "fixed"],
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p_nom=(
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existing_heating.loc[nodes, (name, "oil boiler")]
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existing_heating.loc[nodes, (heat_system, "oil boiler")]
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* ratio
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/ costs.at["decentral oil boiler", "efficiency"]
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),
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build_year=int(grouping_year),
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lifetime=costs.at[f"{name_type} gas boiler", "lifetime"],
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lifetime=costs.at[f"{system_type} gas boiler", "lifetime"],
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)
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# delete links with p_nom=nan corresponding to extra nodes in country
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@ -39,12 +39,12 @@ class DecentralHeatingCopApproximator(BaseCopApproximator):
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return_temperature_celsius : Union[xr.DataArray, np.array]
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The return temperature in Celsius.
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source: str
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The source of the heat pump. Must be either 'air' or 'soil'
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The source of the heat pump. Must be either 'air' or 'ground'
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"""
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self.delta_t = forward_temperature_celsius - source_inlet_temperature_celsius
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if source_type not in ["air", "soil"]:
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raise ValueError("'source' must be one of ['air', 'soil']")
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if source_type not in ["air", "ground"]:
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raise ValueError("'source' must be one of ['air', 'ground']")
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else:
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self.source_type = source_type
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@ -57,7 +57,7 @@ class DecentralHeatingCopApproximator(BaseCopApproximator):
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"""
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if self.source_type == "air":
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return self._approximate_cop_air_source()
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elif self.source_type == "soil":
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elif self.source_type == "ground":
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return self._approximate_cop_ground_source()
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def _approximate_cop_air_source(self) -> Union[xr.DataArray, np.array]:
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@ -4,11 +4,39 @@
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# SPDX-License-Identifier: MIT
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import numpy as np
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import pandas as pd
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import xarray as xr
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from _helpers import set_scenario_config
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from CentralHeatingCopApproximator import CentralHeatingCopApproximator
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from DecentralHeatingCopApproximator import DecentralHeatingCopApproximator
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def get_cop(
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heat_system_type: str,
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heat_source: str,
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source_inlet_temperature_celsius: xr.DataArray,
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) -> xr.DataArray:
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if heat_system_type == "decentral":
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return DecentralHeatingCopApproximator(
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forward_temperature_celsius=snakemake.params.heat_pump_sink_T_decentral_heating,
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source_inlet_temperature_celsius=source_inlet_temperature_celsius,
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source_type=heat_source,
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).approximate_cop()
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elif heat_system_type == "central":
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return CentralHeatingCopApproximator(
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forward_temperature_celsius=snakemake.params.forward_temperature_central_heating,
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return_temperature_celsius=snakemake.params.return_temperature_central_heating,
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source_inlet_temperature_celsius=source_inlet_temperature_celsius,
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source_outlet_temperature_celsius=source_inlet_temperature_celsius
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- snakemake.params.heat_source_cooling_central_heating,
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).approximate_cop()
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else:
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raise ValueError(
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f"Invalid heat system type '{heat_system_type}'. Must be one of ['decentral', 'central']"
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)
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if __name__ == "__main__":
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if "snakemake" not in globals():
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from _helpers import mock_snakemake
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@ -21,30 +49,28 @@ if __name__ == "__main__":
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set_scenario_config(snakemake)
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for source_type in ["air", "soil"]:
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# source inlet temperature (air/soil) is based on weather data
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source_inlet_temperature_celsius = xr.open_dataarray(
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snakemake.input[f"temp_{source_type}_total"]
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cop_all_system_types = []
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for heat_system_type, heat_sources in snakemake.params.heat_pump_sources.items():
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cop_this_system_type = []
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for heat_source in heat_sources:
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source_inlet_temperature_celsius = xr.open_dataarray(
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snakemake.input[f"temp_{heat_source.replace('ground', 'soil')}_total"]
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)
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cop_da = get_cop(
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heat_system_type=heat_system_type,
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heat_source=heat_source,
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source_inlet_temperature_celsius=source_inlet_temperature_celsius,
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)
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cop_this_system_type.append(cop_da)
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cop_all_system_types.append(
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xr.concat(
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cop_this_system_type, dim=pd.Index(heat_sources, name="heat_source")
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)
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)
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# Approximate COP for decentral (individual) heating
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cop_individual_heating = DecentralHeatingCopApproximator(
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forward_temperature_celsius=snakemake.params.heat_pump_sink_T_decentral_heating,
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source_inlet_temperature_celsius=source_inlet_temperature_celsius,
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source_type=source_type,
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).approximate_cop()
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cop_individual_heating.to_netcdf(
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snakemake.output[f"cop_{source_type}_decentral_heating"]
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)
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cop_dataarray = xr.concat(
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cop_all_system_types,
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dim=pd.Index(snakemake.params.heat_pump_sources.keys(), name="heat_system"),
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)
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# Approximate COP for central (district) heating
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cop_central_heating = CentralHeatingCopApproximator(
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forward_temperature_celsius=snakemake.params.forward_temperature_central_heating,
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return_temperature_celsius=snakemake.params.return_temperature_central_heating,
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source_inlet_temperature_celsius=source_inlet_temperature_celsius,
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source_outlet_temperature_celsius=source_inlet_temperature_celsius
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- snakemake.params.heat_source_cooling_central_heating,
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).approximate_cop()
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cop_central_heating.to_netcdf(
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snakemake.output[f"cop_{source_type}_central_heating"]
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)
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cop_dataarray.to_netcdf(snakemake.output.cop_profiles)
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@ -1825,23 +1825,6 @@ def add_heat(n, costs):
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"urban central",
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]
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cop = {
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"air decentral": xr.open_dataarray(snakemake.input.cop_air_decentral_heating)
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.to_pandas()
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.reindex(index=n.snapshots),
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"ground decentral": xr.open_dataarray(
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snakemake.input.cop_soil_decentral_heating
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)
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.to_pandas()
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.reindex(index=n.snapshots),
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"air central": xr.open_dataarray(snakemake.input.cop_air_central_heating)
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.to_pandas()
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.reindex(index=n.snapshots),
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"ground central": xr.open_dataarray(snakemake.input.cop_soil_central_heating)
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.to_pandas()
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.reindex(index=n.snapshots),
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}
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if options["solar_thermal"]:
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solar_thermal = (
|
||||
xr.open_dataarray(snakemake.input.solar_thermal_total)
|
||||
@ -1851,31 +1834,32 @@ def add_heat(n, costs):
|
||||
# 1e3 converts from W/m^2 to MW/(1000m^2) = kW/m^2
|
||||
solar_thermal = options["solar_cf_correction"] * solar_thermal / 1e3
|
||||
|
||||
for name in heat_systems:
|
||||
name_type = "central" if name == "urban central" else "decentral"
|
||||
cop = xr.open_dataarray(snakemake.input.cop_profiles)
|
||||
for heat_system in heat_systems:
|
||||
system_type = "central" if heat_system == "urban central" else "decentral"
|
||||
|
||||
if name == "urban central":
|
||||
if heat_system == "urban central":
|
||||
nodes = dist_fraction.index[dist_fraction > 0]
|
||||
else:
|
||||
nodes = pop_layout.index
|
||||
|
||||
n.add("Carrier", name + " heat")
|
||||
n.add("Carrier", heat_system + " heat")
|
||||
|
||||
n.madd(
|
||||
"Bus",
|
||||
nodes + f" {name} heat",
|
||||
nodes + f" {heat_system} heat",
|
||||
location=nodes,
|
||||
carrier=name + " heat",
|
||||
carrier=heat_system + " heat",
|
||||
unit="MWh_th",
|
||||
)
|
||||
|
||||
if name == "urban central" and options.get("central_heat_vent"):
|
||||
if heat_system == "urban central" and options.get("central_heat_vent"):
|
||||
n.madd(
|
||||
"Generator",
|
||||
nodes + f" {name} heat vent",
|
||||
bus=nodes + f" {name} heat",
|
||||
nodes + f" {heat_system} heat vent",
|
||||
bus=nodes + f" {heat_system} heat",
|
||||
location=nodes,
|
||||
carrier=name + " heat vent",
|
||||
carrier=heat_system + " heat vent",
|
||||
p_nom_extendable=True,
|
||||
p_max_pu=0,
|
||||
p_min_pu=-1,
|
||||
@ -1886,18 +1870,18 @@ def add_heat(n, costs):
|
||||
|
||||
for sector in sectors:
|
||||
# heat demand weighting
|
||||
if "rural" in name:
|
||||
if "rural" in heat_system:
|
||||
factor = 1 - urban_fraction[nodes]
|
||||
elif "urban central" in name:
|
||||
elif "urban central" in heat_system:
|
||||
factor = dist_fraction[nodes]
|
||||
elif "urban decentral" in name:
|
||||
elif "urban decentral" in heat_system:
|
||||
factor = urban_fraction[nodes] - dist_fraction[nodes]
|
||||
else:
|
||||
raise NotImplementedError(
|
||||
f" {name} not in " f"heat systems: {heat_systems}"
|
||||
f" {heat_system} not in " f"heat systems: {heat_systems}"
|
||||
)
|
||||
|
||||
if sector in name:
|
||||
if sector in heat_system:
|
||||
heat_load = (
|
||||
heat_demand[[sector + " water", sector + " space"]]
|
||||
.T.groupby(level=1)
|
||||
@ -1906,7 +1890,7 @@ def add_heat(n, costs):
|
||||
.multiply(factor)
|
||||
)
|
||||
|
||||
if name == "urban central":
|
||||
if heat_system == "urban central":
|
||||
heat_load = (
|
||||
heat_demand.T.groupby(level=1)
|
||||
.sum()
|
||||
@ -1919,20 +1903,17 @@ def add_heat(n, costs):
|
||||
n.madd(
|
||||
"Load",
|
||||
nodes,
|
||||
suffix=f" {name} heat",
|
||||
bus=nodes + f" {name} heat",
|
||||
carrier=name + " heat",
|
||||
suffix=f" {heat_system} heat",
|
||||
bus=nodes + f" {heat_system} heat",
|
||||
carrier=heat_system + " heat",
|
||||
p_set=heat_load,
|
||||
)
|
||||
|
||||
## Add heat pumps
|
||||
|
||||
heat_pump_types = ["air"] if "urban" in name else ["ground", "air"]
|
||||
|
||||
for heat_pump_type in heat_pump_types:
|
||||
costs_name = f"{name_type} {heat_pump_type}-sourced heat pump"
|
||||
for heat_source in snakemake.params.heat_pump_sources[system_type]:
|
||||
costs_name = f"{system_type} {heat_source}-sourced heat pump"
|
||||
efficiency = (
|
||||
cop[f"{heat_pump_type} {name_type}"][nodes]
|
||||
cop.sel(heat_system=system_type, heat_source=heat_source, name=nodes).to_pandas().reindex(index=n.snapshots)
|
||||
if options["time_dep_hp_cop"]
|
||||
else costs.at[costs_name, "efficiency"]
|
||||
)
|
||||
@ -1940,10 +1921,10 @@ def add_heat(n, costs):
|
||||
n.madd(
|
||||
"Link",
|
||||
nodes,
|
||||
suffix=f" {name} {heat_pump_type} heat pump",
|
||||
suffix=f" {heat_system} {heat_source} heat pump",
|
||||
bus0=nodes,
|
||||
bus1=nodes + f" {name} heat",
|
||||
carrier=f"{name} {heat_pump_type} heat pump",
|
||||
bus1=nodes + f" {heat_system} heat",
|
||||
carrier=f"{heat_system} {heat_source} heat pump",
|
||||
efficiency=efficiency,
|
||||
capital_cost=costs.at[costs_name, "efficiency"]
|
||||
* costs.at[costs_name, "fixed"]
|
||||
@ -1953,59 +1934,59 @@ def add_heat(n, costs):
|
||||
)
|
||||
|
||||
if options["tes"]:
|
||||
n.add("Carrier", name + " water tanks")
|
||||
n.add("Carrier", heat_system + " water tanks")
|
||||
|
||||
n.madd(
|
||||
"Bus",
|
||||
nodes + f" {name} water tanks",
|
||||
nodes + f" {heat_system} water tanks",
|
||||
location=nodes,
|
||||
carrier=name + " water tanks",
|
||||
carrier=heat_system + " water tanks",
|
||||
unit="MWh_th",
|
||||
)
|
||||
|
||||
n.madd(
|
||||
"Link",
|
||||
nodes + f" {name} water tanks charger",
|
||||
bus0=nodes + f" {name} heat",
|
||||
bus1=nodes + f" {name} water tanks",
|
||||
nodes + f" {heat_system} water tanks charger",
|
||||
bus0=nodes + f" {heat_system} heat",
|
||||
bus1=nodes + f" {heat_system} water tanks",
|
||||
efficiency=costs.at["water tank charger", "efficiency"],
|
||||
carrier=name + " water tanks charger",
|
||||
carrier=heat_system + " water tanks charger",
|
||||
p_nom_extendable=True,
|
||||
)
|
||||
|
||||
n.madd(
|
||||
"Link",
|
||||
nodes + f" {name} water tanks discharger",
|
||||
bus0=nodes + f" {name} water tanks",
|
||||
bus1=nodes + f" {name} heat",
|
||||
carrier=name + " water tanks discharger",
|
||||
nodes + f" {heat_system} water tanks discharger",
|
||||
bus0=nodes + f" {heat_system} water tanks",
|
||||
bus1=nodes + f" {heat_system} heat",
|
||||
carrier=heat_system + " water tanks discharger",
|
||||
efficiency=costs.at["water tank discharger", "efficiency"],
|
||||
p_nom_extendable=True,
|
||||
)
|
||||
|
||||
tes_time_constant_days = options["tes_tau"][name_type]
|
||||
tes_time_constant_days = options["tes_tau"][system_type]
|
||||
|
||||
n.madd(
|
||||
"Store",
|
||||
nodes + f" {name} water tanks",
|
||||
bus=nodes + f" {name} water tanks",
|
||||
nodes + f" {heat_system} water tanks",
|
||||
bus=nodes + f" {heat_system} water tanks",
|
||||
e_cyclic=True,
|
||||
e_nom_extendable=True,
|
||||
carrier=name + " water tanks",
|
||||
carrier=heat_system + " water tanks",
|
||||
standing_loss=1 - np.exp(-1 / 24 / tes_time_constant_days),
|
||||
capital_cost=costs.at[name_type + " water tank storage", "fixed"],
|
||||
lifetime=costs.at[name_type + " water tank storage", "lifetime"],
|
||||
capital_cost=costs.at[system_type + " water tank storage", "fixed"],
|
||||
lifetime=costs.at[system_type + " water tank storage", "lifetime"],
|
||||
)
|
||||
|
||||
if options["resistive_heaters"]:
|
||||
key = f"{name_type} resistive heater"
|
||||
key = f"{system_type} resistive heater"
|
||||
|
||||
n.madd(
|
||||
"Link",
|
||||
nodes + f" {name} resistive heater",
|
||||
nodes + f" {heat_system} resistive heater",
|
||||
bus0=nodes,
|
||||
bus1=nodes + f" {name} heat",
|
||||
carrier=name + " resistive heater",
|
||||
bus1=nodes + f" {heat_system} heat",
|
||||
carrier=heat_system + " resistive heater",
|
||||
efficiency=costs.at[key, "efficiency"],
|
||||
capital_cost=costs.at[key, "efficiency"]
|
||||
* costs.at[key, "fixed"]
|
||||
@ -2015,16 +1996,16 @@ def add_heat(n, costs):
|
||||
)
|
||||
|
||||
if options["boilers"]:
|
||||
key = f"{name_type} gas boiler"
|
||||
key = f"{system_type} gas boiler"
|
||||
|
||||
n.madd(
|
||||
"Link",
|
||||
nodes + f" {name} gas boiler",
|
||||
nodes + f" {heat_system} gas boiler",
|
||||
p_nom_extendable=True,
|
||||
bus0=spatial.gas.df.loc[nodes, "nodes"].values,
|
||||
bus1=nodes + f" {name} heat",
|
||||
bus1=nodes + f" {heat_system} heat",
|
||||
bus2="co2 atmosphere",
|
||||
carrier=name + " gas boiler",
|
||||
carrier=heat_system + " gas boiler",
|
||||
efficiency=costs.at[key, "efficiency"],
|
||||
efficiency2=costs.at["gas", "CO2 intensity"],
|
||||
capital_cost=costs.at[key, "efficiency"]
|
||||
@ -2034,22 +2015,22 @@ def add_heat(n, costs):
|
||||
)
|
||||
|
||||
if options["solar_thermal"]:
|
||||
n.add("Carrier", name + " solar thermal")
|
||||
n.add("Carrier", heat_system + " solar thermal")
|
||||
|
||||
n.madd(
|
||||
"Generator",
|
||||
nodes,
|
||||
suffix=f" {name} solar thermal collector",
|
||||
bus=nodes + f" {name} heat",
|
||||
carrier=name + " solar thermal",
|
||||
suffix=f" {heat_system} solar thermal collector",
|
||||
bus=nodes + f" {heat_system} heat",
|
||||
carrier=heat_system + " solar thermal",
|
||||
p_nom_extendable=True,
|
||||
capital_cost=costs.at[name_type + " solar thermal", "fixed"]
|
||||
capital_cost=costs.at[system_type + " solar thermal", "fixed"]
|
||||
* overdim_factor,
|
||||
p_max_pu=solar_thermal[nodes],
|
||||
lifetime=costs.at[name_type + " solar thermal", "lifetime"],
|
||||
lifetime=costs.at[system_type + " solar thermal", "lifetime"],
|
||||
)
|
||||
|
||||
if options["chp"] and name == "urban central":
|
||||
if options["chp"] and heat_system == "urban central":
|
||||
# add gas CHP; biomass CHP is added in biomass section
|
||||
n.madd(
|
||||
"Link",
|
||||
@ -2106,16 +2087,16 @@ def add_heat(n, costs):
|
||||
lifetime=costs.at["central gas CHP", "lifetime"],
|
||||
)
|
||||
|
||||
if options["chp"] and options["micro_chp"] and name != "urban central":
|
||||
if options["chp"] and options["micro_chp"] and heat_system != "urban central":
|
||||
n.madd(
|
||||
"Link",
|
||||
nodes + f" {name} micro gas CHP",
|
||||
nodes + f" {heat_system} micro gas CHP",
|
||||
p_nom_extendable=True,
|
||||
bus0=spatial.gas.df.loc[nodes, "nodes"].values,
|
||||
bus1=nodes,
|
||||
bus2=nodes + f" {name} heat",
|
||||
bus2=nodes + f" {heat_system} heat",
|
||||
bus3="co2 atmosphere",
|
||||
carrier=name + " micro gas CHP",
|
||||
carrier=heat_system + " micro gas CHP",
|
||||
efficiency=costs.at["micro CHP", "efficiency"],
|
||||
efficiency2=costs.at["micro CHP", "efficiency-heat"],
|
||||
efficiency3=costs.at["gas", "CO2 intensity"],
|
||||
@ -2150,27 +2131,27 @@ def add_heat(n, costs):
|
||||
heat_demand["services space"] + heat_demand["residential space"]
|
||||
) / heat_demand.T.groupby(level=[1]).sum().T
|
||||
|
||||
for name in n.loads[
|
||||
for heat_system in n.loads[
|
||||
n.loads.carrier.isin([x + " heat" for x in heat_systems])
|
||||
].index:
|
||||
node = n.buses.loc[name, "location"]
|
||||
node = n.buses.loc[heat_system, "location"]
|
||||
ct = pop_layout.loc[node, "ct"]
|
||||
|
||||
# weighting 'f' depending on the size of the population at the node
|
||||
if "urban central" in name:
|
||||
if "urban central" in heat_system:
|
||||
f = dist_fraction[node]
|
||||
elif "urban decentral" in name:
|
||||
elif "urban decentral" in heat_system:
|
||||
f = urban_fraction[node] - dist_fraction[node]
|
||||
else:
|
||||
f = 1 - urban_fraction[node]
|
||||
if f == 0:
|
||||
continue
|
||||
# get sector name ("residential"/"services"/or both "tot" for urban central)
|
||||
if "urban central" in name:
|
||||
if "urban central" in heat_system:
|
||||
sec = "tot"
|
||||
if "residential" in name:
|
||||
if "residential" in heat_system:
|
||||
sec = "residential"
|
||||
if "services" in name:
|
||||
if "services" in heat_system:
|
||||
sec = "services"
|
||||
|
||||
# get floor aread at node and region (urban/rural) in m^2
|
||||
@ -2178,7 +2159,7 @@ def add_heat(n, costs):
|
||||
pop_layout.loc[node].fraction * floor_area.loc[ct, "value"] * 10**6
|
||||
).loc[sec] * f
|
||||
# total heat demand at node [MWh]
|
||||
demand = n.loads_t.p_set[name]
|
||||
demand = n.loads_t.p_set[heat_system]
|
||||
|
||||
# space heat demand at node [MWh]
|
||||
space_heat_demand = demand * w_space[sec][node]
|
||||
@ -2219,12 +2200,12 @@ def add_heat(n, costs):
|
||||
|
||||
# add for each retrofitting strength a generator with heat generation profile following the profile of the heat demand
|
||||
for strength in strengths:
|
||||
node_name = " ".join(name.split(" ")[2::])
|
||||
node_name = " ".join(heat_system.split(" ")[2::])
|
||||
n.madd(
|
||||
"Generator",
|
||||
[node],
|
||||
suffix=" retrofitting " + strength + " " + node_name,
|
||||
bus=name,
|
||||
bus=heat_system,
|
||||
carrier="retrofitting",
|
||||
p_nom_extendable=True,
|
||||
p_nom_max=dE_diff[strength]
|
||||
|
||||
Loading…
Reference in New Issue
Block a user