290 lines
11 KiB
Plaintext
290 lines
11 KiB
Plaintext
configfile: "config.yaml"
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localrules: all # , extract_summaries, plot_network, scenario_comparions
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wildcard_constraints:
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lv="[0-9\.]+",
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simpl="[a-zA-Z0-9]*",
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clusters="[0-9]+m?",
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sectors="[+a-zA-Z0-9]+",
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opts="[-+a-zA-Z0-9]*"
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# rule all:
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# input: "results/summaries/costs2-summary.csv"
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rule solve_all_elec_networks:
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input:
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expand("results/networks/elec_s{simpl}_{clusters}_lv{lv}_{opts}.nc",
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**config['scenario'])
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if config['enable']['prepare_links_p_nom']:
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rule prepare_links_p_nom:
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output: 'data/links_p_nom.csv'
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threads: 1
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resources: mem=500
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group: 'nonfeedin_preparation'
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script: 'scripts/prepare_links_p_nom.py'
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if config['enable']['powerplantmatching']:
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rule build_powerplants:
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input: base_network="networks/base.nc"
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output: "resources/powerplants.csv"
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threads: 1
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resources: mem=500
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group: 'nonfeedin_preparation'
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script: "scripts/build_powerplants.py"
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rule base_network:
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input:
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eg_buses='data/entsoegridkit/buses.csv',
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eg_lines='data/entsoegridkit/lines.csv',
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eg_links='data/entsoegridkit/links.csv',
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eg_converters='data/entsoegridkit/converters.csv',
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eg_transformers='data/entsoegridkit/transformers.csv',
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parameter_corrections='data/parameter_corrections.yaml',
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links_p_nom='data/links_p_nom.csv',
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country_shapes='resources/country_shapes.geojson',
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offshore_shapes='resources/offshore_shapes.geojson',
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europe_shape='resources/europe_shape.geojson'
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output: "networks/base.nc"
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benchmark: "benchmarks/base_network"
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threads: 1
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resources: mem=500
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group: 'nonfeedin_preparation'
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script: "scripts/base_network.py"
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rule build_shapes:
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input:
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naturalearth='data/bundle/naturalearth/ne_10m_admin_0_countries.shp',
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eez='data/bundle/eez/World_EEZ_v8_2014.shp',
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nuts3='data/bundle/NUTS_2013_60M_SH/data/NUTS_RG_60M_2013.shp',
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nuts3pop='data/bundle/nama_10r_3popgdp.tsv.gz',
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nuts3gdp='data/bundle/nama_10r_3gdp.tsv.gz',
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ch_cantons='data/bundle/ch_cantons.csv',
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ch_popgdp='data/bundle/je-e-21.03.02.xls'
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output:
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country_shapes='resources/country_shapes.geojson',
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offshore_shapes='resources/offshore_shapes.geojson',
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europe_shape='resources/europe_shape.geojson',
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nuts3_shapes='resources/nuts3_shapes.geojson'
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threads: 1
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resources: mem=500
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group: 'nonfeedin_preparation'
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script: "scripts/build_shapes.py"
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rule build_bus_regions:
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input:
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country_shapes='resources/country_shapes.geojson',
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offshore_shapes='resources/offshore_shapes.geojson',
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base_network="networks/base.nc"
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output:
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regions_onshore="resources/regions_onshore.geojson",
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regions_offshore="resources/regions_offshore.geojson"
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resources: mem=1000
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group: 'nonfeedin_preparation'
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script: "scripts/build_bus_regions.py"
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rule build_cutout:
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output: "cutouts/{cutout}"
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resources: mem=5000
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threads: config['atlite'].get('nprocesses', 4)
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benchmark: "benchmarks/build_cutout_{cutout}"
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group: 'feedin_preparation'
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script: "scripts/build_cutout.py"
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def memory_build_renewable_potentials(wildcards):
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corine_config = config["renewable"][wildcards.technology]["corine"]
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return 12000 if corine_config.get("distance") is None else 24000
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rule build_renewable_potentials:
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input:
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cutout=lambda wildcards: "cutouts/" + config["renewable"][wildcards.technology]['cutout'],
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corine="data/bundle/corine/g250_clc06_V18_5.tif",
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natura="data/bundle/natura/Natura2000_end2015.shp"
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output: "resources/potentials_{technology}.nc"
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resources: mem=memory_build_renewable_potentials
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benchmark: "benchmarks/build_renewable_potentials_{technology}"
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group: 'feedin_preparation'
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script: "scripts/build_renewable_potentials.py"
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rule build_renewable_profiles:
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input:
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base_network="networks/base.nc",
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potentials="resources/potentials_{technology}.nc",
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regions=lambda wildcards: ("resources/regions_onshore.geojson"
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if wildcards.technology in ('onwind', 'solar')
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else "resources/regions_offshore.geojson"),
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cutout=lambda wildcards: "cutouts/" + config["renewable"][wildcards.technology]['cutout']
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output:
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profile="resources/profile_{technology}.nc",
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resources: mem=5000
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benchmark: "benchmarks/build_renewable_profiles_{technology}"
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group: 'feedin_preparation'
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script: "scripts/build_renewable_profiles.py"
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rule build_hydro_profile:
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input:
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country_shapes='resources/country_shapes.geojson',
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eia_hydro_generation='data/bundle/EIA_hydro_generation_2000_2014.csv',
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cutout="cutouts/" + config["renewable"]['hydro']['cutout']
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output: 'resources/profile_hydro.nc'
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resources: mem=5000
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group: 'feedin_preparation'
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script: 'scripts/build_hydro_profile.py'
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rule add_electricity:
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input:
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base_network='networks/base.nc',
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tech_costs='data/costs.csv',
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regions="resources/regions_onshore.geojson",
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powerplants='resources/powerplants.csv',
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hydro_capacities='data/bundle/hydro_capacities.csv',
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opsd_load='data/bundle/time_series_60min_singleindex_filtered.csv',
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nuts3_shapes='resources/nuts3_shapes.geojson',
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**{'profile_' + t: "resources/profile_" + t + ".nc"
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for t in config['renewable']}
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output: "networks/elec.nc"
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benchmark: "benchmarks/add_electricity"
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threads: 1
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resources: mem=3000
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group: 'build_pypsa_networks'
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script: "scripts/add_electricity.py"
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rule simplify_network:
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input:
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network='networks/{network}.nc',
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regions_onshore="resources/regions_onshore.geojson",
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regions_offshore="resources/regions_offshore.geojson"
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output:
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network='networks/{network}_s{simpl}.nc',
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regions_onshore="resources/regions_onshore_{network}_s{simpl}.geojson",
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regions_offshore="resources/regions_offshore_{network}_s{simpl}.geojson",
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clustermaps='resources/clustermaps_{network}_s{simpl}.h5'
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benchmark: "benchmarks/simplify_network/{network}_s{simpl}"
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threads: 1
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resources: mem=4000
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group: 'build_pypsa_networks'
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script: "scripts/simplify_network.py"
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rule cluster_network:
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input:
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network='networks/{network}_s{simpl}.nc',
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regions_onshore="resources/regions_onshore_{network}_s{simpl}.geojson",
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regions_offshore="resources/regions_offshore_{network}_s{simpl}.geojson",
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clustermaps='resources/clustermaps_{network}_s{simpl}.h5'
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output:
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network='networks/{network}_s{simpl}_{clusters}.nc',
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regions_onshore="resources/regions_onshore_{network}_s{simpl}_{clusters}.geojson",
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regions_offshore="resources/regions_offshore_{network}_s{simpl}_{clusters}.geojson",
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clustermaps='resources/clustermaps_{network}_s{simpl}_{clusters}.h5'
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benchmark: "benchmarks/cluster_network/{network}_s{simpl}_{clusters}"
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threads: 1
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resources: mem=3000
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group: 'build_pypsa_networks'
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script: "scripts/cluster_network.py"
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# rule add_sectors:
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# input:
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# network="networks/elec_{cost}_{resarea}_{opts}.nc",
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# emobility="data/emobility"
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# output: "networks/sector_{cost}_{resarea}_{sectors}_{opts}.nc"
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# benchmark: "benchmarks/add_sectors/sector_{resarea}_{sectors}_{opts}"
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# threads: 1
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# resources: mem=1000
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# script: "scripts/add_sectors.py"
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rule prepare_network:
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input: 'networks/{network}_s{simpl}_{clusters}.nc'
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output: 'networks/{network}_s{simpl}_{clusters}_lv{lv}_{opts}.nc'
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threads: 1
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resources: mem=1000
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benchmark: "benchmarks/prepare_network/{network}_s{simpl}_{clusters}_lv{lv}_{opts}"
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script: "scripts/prepare_network.py"
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def memory(w):
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if w.clusters.endswith('m'):
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return 18000 + 180 * int(w.clusters[:-1])
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else:
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return 10000 + 190 * int(w.clusters)
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# return 4890+310 * int(w.clusters)
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rule solve_network:
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input: "networks/{network}_s{simpl}_{clusters}_lv{lv}_{opts}.nc"
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output: "results/networks/{network}_s{simpl}_{clusters}_lv{lv}_{opts}.nc"
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shadow: "shallow"
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log:
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solver="logs/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_solver.log",
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python="logs/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_python.log",
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memory="logs/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_memory.log"
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benchmark: "benchmarks/solve_network/{network}_s{simpl}_{clusters}_lv{lv}_{opts}"
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threads: 4
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resources: mem=memory
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# group: "solve" # with group, threads is ignored https://bitbucket.org/snakemake/snakemake/issues/971/group-job-description-does-not-contain
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script: "scripts/solve_network.py"
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rule solve_operations_network:
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input:
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unprepared="networks/{network}_s{simpl}_{clusters}.nc",
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optimized="results/networks/{network}_s{simpl}_{clusters}_lv{lv}_{opts}.nc"
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output: "results/networks/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_op.nc"
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shadow: "shallow"
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log:
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solver="logs/solve_operations_network/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_op_solver.log",
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python="logs/solve_operations_network/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_op_python.log",
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memory="logs/solve_operations_network/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_op_memory.log"
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benchmark: "benchmarks/solve_operations_network/{network}_s{simpl}_{clusters}_lv{lv}_{opts}"
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threads: 4
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resources: mem=(lambda w: 5000 + 372 * int(w.clusters))
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group: "solve_operations"
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script: "scripts/solve_operations_network.py"
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rule plot_network:
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input:
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network='results/networks/{cost}_{resarea}_{sectors}_{opts}.nc',
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supply_regions='data/supply_regions/supply_regions.shp',
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resarea=lambda w: config['data']['resarea'][w.resarea]
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output:
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'results/plots/network_{cost}_{resarea}_{sectors}_{opts}_{attr}.pdf'
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script: "scripts/plot_network.py"
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# rule plot_costs:
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# input: 'results/summaries/costs2-summary.csv'
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# output:
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# expand('results/plots/costs_{cost}_{resarea}_{sectors}_{opt}',
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# **dict(chain(config['scenario'].items(), (('{param}')))
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# touch('results/plots/scenario_plots')
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# params:
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# tmpl="results/plots/costs_[cost]_[resarea]_[sectors]_[opt]"
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# exts=["pdf", "png"]
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# scripts: "scripts/plot_costs.py"
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# rule scenario_comparison:
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# input:
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# expand('results/plots/network_{cost}_{sectors}_{opts}_{attr}.pdf',
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# version=config['version'],
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# attr=['p_nom'],
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# **config['scenario'])
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# output:
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# html='results/plots/scenario_{param}.html'
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# params:
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# tmpl="network_[cost]_[resarea]_[sectors]_[opts]_[attr]",
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# plot_dir='results/plots'
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# script: "scripts/scenario_comparison.py"
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# rule extract_summaries:
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# input:
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# expand("results/networks/{cost}_{sectors}_{opts}.nc",
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# **config['scenario'])
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# output:
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# **{n: "results/summaries/{}-summary.csv".format(n)
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# for n in ['costs', 'costs2', 'e_curtailed', 'e_nom_opt', 'e', 'p_nom_opt']}
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# params:
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# scenario_tmpl="[cost]_[resarea]_[sectors]_[opts]",
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# scenarios=config['scenario']
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# script: "scripts/extract_summaries.py"
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# Local Variables:
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# mode: python
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# End:
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