add rules for perfect foresight
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lisazeyen
parent
28dbea7c53
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e5e7d5f250
@ -65,6 +65,11 @@ if config["foresight"] == "myopic":
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include: "rules/solve_myopic.smk"
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if config["foresight"] == "perfect":
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include: "rules/solve_perfect.smk"
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rule purge:
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message:
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"Purging generated resources, results and docs. Downloads are kept."
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223
rules/solve_perfect.smk
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223
rules/solve_perfect.smk
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@ -0,0 +1,223 @@
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# 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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input:
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overrides="data/override_component_attrs",
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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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input:
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overrides="data/override_component_attrs",
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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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ruleorder: add_existing_baseyear > add_brownfield
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rule prepare_perfect_foresight:
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input:
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**{
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f"network_{year}": RDIR
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+ "/prenetworks/elec_s{simpl}_{clusters}_lv{lv}_{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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RDIR
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+ "/prenetworks-brownfield/"
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+ "elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_"
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+ "{}.nc".format(str(config["scenario"]["planning_horizons"][0]))
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),
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overrides="data/override_component_attrs",
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output:
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RDIR
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+ "/prenetworks-brownfield/elec_s{simpl}_{clusters}_lv{lv}_{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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script:
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"../scripts/prepare_perfect_foresight.py"
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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_network_perfect:
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input:
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overrides="data/override_component_attrs",
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network=RDIR
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+ "/prenetworks-brownfield/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_brownfield_all_years.nc",
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costs="data/costs_2030.csv",
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config=SDIR + "/configs/config.yaml",
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output:
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RDIR
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+ "/postnetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_brownfield_all_years.nc",
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shadow:
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"shallow"
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log:
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solver=RDIR
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+ "/logs/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_brownfield_all_years_solver.log",
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python=RDIR
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+ "/logs/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_brownfield_all_years_python.log",
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memory=RDIR
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+ "/logs/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_brownfield_all_years_memory.log",
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threads: 4
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resources:
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mem_mb=config["solving"]["mem"],
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benchmark:
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(
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RDIR
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+ "/benchmarks/solve_network/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_brownfield_all_years"
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)
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script:
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"../scripts/solve_network.py"
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conda:
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"../envs/environment.yaml"
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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}_lv{lv}_{opts}_{sector_opts}": RDIR
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+ f"/postnetworks/elec_s{simpl}_{clusters}_lv{lv}_{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 lv in config["scenario"]["lv"]
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},
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costs="data/costs_2020.csv",
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overrides="data/override_component_attrs",
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output:
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nodal_costs="results" + "/" + config["run"] + "/csvs/nodal_costs.csv",
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nodal_capacities="results" + "/" + config["run"] + "/csvs/nodal_capacities.csv",
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nodal_cfs="results" + "/" + config["run"] + "/csvs/nodal_cfs.csv",
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cfs="results" + "/" + config["run"] + "/csvs/cfs.csv",
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costs="results" + "/" + config["run"] + "/csvs/costs.csv",
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capacities="results" + "/" + config["run"] + "/csvs/capacities.csv",
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curtailment="results" + "/" + config["run"] + "/csvs/curtailment.csv",
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capital_cost="results" + "/" + config["run"] + "/csvs/capital_cost.csv",
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energy="results" + "/" + config["run"] + "/csvs/energy.csv",
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supply="results" + "/" + config["run"] + "/csvs/supply.csv",
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supply_energy="results" + "/" + config["run"] + "/csvs/supply_energy.csv",
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prices="results" + "/" + config["run"] + "/csvs/prices.csv",
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weighted_prices="results" + "/" + config["run"] + "/csvs/weighted_prices.csv",
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market_values="results" + "/" + config["run"] + "/csvs/market_values.csv",
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price_statistics="results" + "/" + config["run"] + "/csvs/price_statistics.csv",
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metrics="results" + "/" + config["run"] + "/csvs/metrics.csv",
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co2_emissions="results" + "/" + config["run"] + "/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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script:
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"../scripts/make_summary_perfect.py"
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log:
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LOGS + "make_summary_perfect{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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+ "make_summary_perfect{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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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" + "/" + config["run"] + "/csvs/costs.csv",
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energy="results" + "/" + config["run"] + "/csvs/energy.csv",
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balances="results" + "/" + config["run"] + "/csvs/supply_energy.csv",
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eea="data/eea/UNFCCC_v24.csv",
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countries="results" + "/" + config["run"] + "/csvs/nodal_capacities.csv",
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co2_emissions="results" + "/" + config["run"] + "/csvs/co2_emissions.csv",
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capacities="results" + "/" + config["run"] + "/csvs/capacities.csv",
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capital_cost="results" + "/" + config["run"] + "/csvs/capital_cost.csv",
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output:
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costs1="results" + "/" + config["run"] + "/graphs/costs.pdf",
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costs2="results" + "/" + config["run"] + "/graphs/costs2.pdf",
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costs3="results" + "/" + config["run"] + "/graphs/total_costs_per_year.pdf",
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# energy="results" + '/' + config['run'] + '/graphs/energy.pdf',
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balances="results" + "/" + config["run"] + "/graphs/balances-energy.pdf",
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co2_emissions="results" + "/" + config["run"] + "/graphs/carbon_budget_plot.pdf",
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capacities="results" + "/" + config["run"] + "/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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script:
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"../scripts/plot_summary_perfect.py"
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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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