222 lines
8.3 KiB
Plaintext
222 lines
8.3 KiB
Plaintext
# SPDX-FileCopyrightText: : 2023 The PyPSA-Eur Authors
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#
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# SPDX-License-Identifier: MIT
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rule add_existing_baseyear:
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params:
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baseyear=config["scenario"]["planning_horizons"][0],
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sector=config["sector"],
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existing_capacities=config["existing_capacities"],
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costs=config["costs"],
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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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powerplants=RESOURCES + "powerplants.csv",
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busmap_s=RESOURCES + "busmap_elec_s{simpl}.csv",
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busmap=RESOURCES + "busmap_elec_s{simpl}_{clusters}.csv",
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clustered_pop_layout=RESOURCES + "pop_layout_elec_s{simpl}_{clusters}.csv",
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costs="data/costs_{}.csv".format(config["scenario"]["planning_horizons"][0]),
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cop_soil_total=RESOURCES + "cop_soil_total_elec_s{simpl}_{clusters}.nc",
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cop_air_total=RESOURCES + "cop_air_total_elec_s{simpl}_{clusters}.nc",
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existing_heating="data/existing_infrastructure/existing_heating_raw.csv",
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existing_solar="data/existing_infrastructure/solar_capacity_IRENA.csv",
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existing_onwind="data/existing_infrastructure/onwind_capacity_IRENA.csv",
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existing_offwind="data/existing_infrastructure/offwind_capacity_IRENA.csv",
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output:
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RESULTS
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+ "prenetworks-brownfield/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_{planning_horizons}.nc",
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wildcard_constraints:
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planning_horizons=config["scenario"]["planning_horizons"][0], #only applies to baseyear
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threads: 1
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resources:
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mem_mb=2000,
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log:
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LOGS
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+ "add_existing_baseyear_elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_{planning_horizons}.log",
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benchmark:
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(
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BENCHMARKS
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+ "add_existing_baseyear/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_{planning_horizons}"
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)
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conda:
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"../envs/environment.yaml"
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script:
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"../scripts/add_existing_baseyear.py"
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rule add_brownfield:
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params:
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H2_retrofit=config["sector"]["H2_retrofit"],
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H2_retrofit_capacity_per_CH4=config["sector"]["H2_retrofit_capacity_per_CH4"],
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threshold_capacity=config["existing_capacities"]["threshold_capacity"],
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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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network_p=solved_previous_horizon, #solved network at previous time step
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costs="data/costs_{planning_horizons}.csv",
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cop_soil_total=RESOURCES + "cop_soil_total_elec_s{simpl}_{clusters}.nc",
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cop_air_total=RESOURCES + "cop_air_total_elec_s{simpl}_{clusters}.nc",
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output:
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RESULTS
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+ "prenetworks-brownfield/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_{planning_horizons}.nc",
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threads: 4
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resources:
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mem_mb=10000,
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log:
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LOGS
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+ "add_brownfield_elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_{planning_horizons}.log",
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benchmark:
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(
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BENCHMARKS
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+ "add_brownfield/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_{planning_horizons}"
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)
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conda:
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"../envs/environment.yaml"
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script:
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"../scripts/add_brownfield.py"
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rule prepare_perfect_foresight:
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input:
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**{
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f"network_{year}": RESULTS
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+ "prenetworks/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_"
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+ f"{year}.nc"
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for year in config["scenario"]["planning_horizons"][1:]
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},
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brownfield_network=lambda w: (
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RESULTS
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+ "prenetworks-brownfield/"
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+ "elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_"
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+ "{}.nc".format(str(config["scenario"]["planning_horizons"][0]))
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),
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output:
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RESULTS
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+ "prenetworks-brownfield/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_brownfield_all_years.nc",
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threads: 2
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resources:
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mem_mb=10000,
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log:
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LOGS
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+ "prepare_perfect_foresight{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}.log",
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benchmark:
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(
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BENCHMARKS
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+ "prepare_perfect_foresight{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}"
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)
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conda:
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"../envs/environment.yaml"
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script:
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"../scripts/prepare_perfect_foresight.py"
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rule solve_sector_network_perfect:
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input:
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network=RESULTS
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+ "prenetworks-brownfield/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_brownfield_all_years.nc",
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costs="data/costs_2030.csv",
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config=RESULTS + "config.yaml",
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output:
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RESULTS
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+ "postnetworks/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_brownfield_all_years.nc",
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threads: 4
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resources:
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mem_mb=config["solving"]["mem"],
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shadow:
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"shallow"
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log:
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solver=RESULTS
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+ "logs/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_brownfield_all_years_solver.log",
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python=RESULTS
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+ "logs/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_brownfield_all_years_python.log",
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memory=RESULTS
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+ "logs/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_brownfield_all_years_memory.log",
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benchmark:
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(
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BENCHMARKS
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+ "solve_sector_network/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_brownfield_all_years}"
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)
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conda:
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"../envs/environment.yaml"
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script:
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"../scripts/solve_network.py"
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rule make_summary_perfect:
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input:
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**{
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f"networks_{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}": RESULTS
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+ f"postnetworks/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_brownfield_all_years.nc"
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for simpl in config["scenario"]["simpl"]
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for clusters in config["scenario"]["clusters"]
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for opts in config["scenario"]["opts"]
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for sector_opts in config["scenario"]["sector_opts"]
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for ll in config["scenario"]["ll"]
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},
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costs="data/costs_2020.csv",
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output:
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nodal_costs=RESULTS + "csvs/nodal_costs.csv",
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nodal_capacities=RESULTS + "csvs/nodal_capacities.csv",
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nodal_cfs=RESULTS + "csvs/nodal_cfs.csv",
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cfs=RESULTS + "csvs/cfs.csv",
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costs=RESULTS + "csvs/costs.csv",
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capacities=RESULTS + "csvs/capacities.csv",
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curtailment=RESULTS + "csvs/curtailment.csv",
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energy=RESULTS + "csvs/energy.csv",
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supply=RESULTS + "csvs/supply.csv",
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supply_energy=RESULTS + "csvs/supply_energy.csv",
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prices=RESULTS + "csvs/prices.csv",
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weighted_prices=RESULTS + "csvs/weighted_prices.csv",
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market_values=RESULTS + "csvs/market_values.csv",
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price_statistics=RESULTS + "csvs/price_statistics.csv",
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metrics=RESULTS + "csvs/metrics.csv",
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co2_emissions=RESULTS + "csvs/co2_emissions.csv",
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threads: 2
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resources:
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mem_mb=10000,
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log:
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LOGS + "make_summary_perfect.log",
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benchmark:
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(BENCHMARKS + "make_summary_perfect")
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conda:
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"../envs/environment.yaml"
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script:
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"../scripts/make_summary_perfect.py"
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rule plot_summary_perfect:
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input:
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**{
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f"costs_{year}": f"data/costs_{year}.csv"
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for year in config["scenario"]["planning_horizons"]
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},
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costs_csv=RESULTS + "csvs/costs.csv",
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energy=RESULTS + "csvs/energy.csv",
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balances=RESULTS + "csvs/supply_energy.csv",
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eea="data/eea/UNFCCC_v24.csv",
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countries=RESULTS + "csvs/nodal_capacities.csv",
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co2_emissions=RESULTS + "csvs/co2_emissions.csv",
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capacities=RESULTS + "csvs/capacities.csv",
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capital_cost=RESULTS + "csvs/capital_cost.csv",
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output:
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costs1=RESULTS + "graphs/costs.pdf",
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costs2=RESULTS + "graphs/costs2.pdf",
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costs3=RESULTS + "graphs/total_costs_per_year.pdf",
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# energy="results" + '/' + config['run'] + '/graphs/energy.pdf',
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balances=RESULTS + "graphs/balances-energy.pdf",
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co2_emissions=RESULTS + "graphs/carbon_budget_plot.pdf",
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capacities=RESULTS + "graphs/capacities.pdf",
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threads: 2
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resources:
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mem_mb=10000,
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log:
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LOGS + "plot_summary_perfect.log",
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benchmark:
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(BENCHMARKS + "plot_summary_perfect")
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conda:
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"../envs/environment.yaml"
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script:
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"../scripts/plot_summary_perfect.py"
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ruleorder: add_existing_baseyear > add_brownfield
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