pypsa-eur/Snakefile
2019-02-03 14:00:45 +01:00

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configfile: "config.yaml"
COSTS="data/costs.csv"
wildcard_constraints:
ll="(v|c)([0-9\.]+|opt|all)", # line limit, can be volume or cost
simpl="[a-zA-Z0-9]*|all",
clusters="[0-9]+m?|all",
sectors="[+a-zA-Z0-9]+",
opts="[-+a-zA-Z0-9]*"
rule cluster_all_elec_networks:
input:
expand("networks/elec_s{simpl}_{clusters}.nc",
**config['scenario'])
rule prepare_all_elec_networks:
input:
expand("networks/elec_s{simpl}_{clusters}_l{ll}_{opts}.nc",
**config['scenario'])
rule solve_all_elec_networks:
input:
expand("results/networks/elec_s{simpl}_{clusters}_l{ll}_{opts}.nc",
**config['scenario'])
if config['enable']['prepare_links_p_nom']:
rule prepare_links_p_nom:
output: 'data/links_p_nom.csv'
threads: 1
resources: mem=500
# group: 'nonfeedin_preparation'
script: 'scripts/prepare_links_p_nom.py'
if config['enable']['powerplantmatching']:
rule build_powerplants:
input: base_network="networks/base.nc"
output: "resources/powerplants.csv"
threads: 1
resources: mem=500
# group: 'nonfeedin_preparation'
script: "scripts/build_powerplants.py"
rule base_network:
input:
eg_buses='data/entsoegridkit/buses.csv',
eg_lines='data/entsoegridkit/lines.csv',
eg_links='data/entsoegridkit/links.csv',
eg_converters='data/entsoegridkit/converters.csv',
eg_transformers='data/entsoegridkit/transformers.csv',
parameter_corrections='data/parameter_corrections.yaml',
links_p_nom='data/links_p_nom.csv',
links_tyndp='data/links_tyndp.csv',
country_shapes='resources/country_shapes.geojson',
offshore_shapes='resources/offshore_shapes.geojson',
europe_shape='resources/europe_shape.geojson'
output: "networks/base.nc"
benchmark: "benchmarks/base_network"
threads: 1
resources: mem=500
# group: 'nonfeedin_preparation'
script: "scripts/base_network.py"
rule build_shapes:
input:
naturalearth='data/bundle/naturalearth/ne_10m_admin_0_countries.shp',
eez='data/bundle/eez/World_EEZ_v8_2014.shp',
nuts3='data/bundle/NUTS_2013_60M_SH/data/NUTS_RG_60M_2013.shp',
nuts3pop='data/bundle/nama_10r_3popgdp.tsv.gz',
nuts3gdp='data/bundle/nama_10r_3gdp.tsv.gz',
ch_cantons='data/bundle/ch_cantons.csv',
ch_popgdp='data/bundle/je-e-21.03.02.xls'
output:
country_shapes='resources/country_shapes.geojson',
offshore_shapes='resources/offshore_shapes.geojson',
europe_shape='resources/europe_shape.geojson',
nuts3_shapes='resources/nuts3_shapes.geojson'
threads: 1
resources: mem=500
# group: 'nonfeedin_preparation'
script: "scripts/build_shapes.py"
rule build_bus_regions:
input:
country_shapes='resources/country_shapes.geojson',
offshore_shapes='resources/offshore_shapes.geojson',
base_network="networks/base.nc"
output:
regions_onshore="resources/regions_onshore.geojson",
regions_offshore="resources/regions_offshore.geojson"
resources: mem=1000
# group: 'nonfeedin_preparation'
script: "scripts/build_bus_regions.py"
rule build_cutout:
output: "cutouts/{cutout}"
resources: mem=config['atlite'].get('nprocesses', 4) * 1000
threads: config['atlite'].get('nprocesses', 4)
benchmark: "benchmarks/build_cutout_{cutout}"
# group: 'feedin_preparation'
script: "scripts/build_cutout.py"
rule build_natura_raster:
input: "data/bundle/natura/Natura2000_end2015.shp"
output: "resources/natura.tiff"
script: "scripts/build_natura_raster.py"
rule build_renewable_profiles:
input:
base_network="networks/base.nc",
corine="data/bundle/corine/g250_clc06_V18_5.tif",
natura="resources/natura.tiff",
gebco="data/bundle/GEBCO_2014_2D.nc",
country_shapes='resources/country_shapes.geojson',
offshore_shapes='resources/offshore_shapes.geojson',
regions=lambda wildcards: ("resources/regions_onshore.geojson"
if wildcards.technology in ('onwind', 'solar')
else "resources/regions_offshore.geojson"),
cutout=lambda wildcards: "cutouts/" + config["renewable"][wildcards.technology]['cutout']
output: profile="resources/profile_{technology}.nc",
resources: mem=config['atlite'].get('nprocesses', 2) * 5000
threads: config['atlite'].get('nprocesses', 2)
benchmark: "benchmarks/build_renewable_profiles_{technology}"
# group: 'feedin_preparation'
script: "scripts/build_renewable_profiles.py"
rule build_hydro_profile:
input:
country_shapes='resources/country_shapes.geojson',
eia_hydro_generation='data/bundle/EIA_hydro_generation_2000_2014.csv',
cutout="cutouts/" + config["renewable"]['hydro']['cutout']
output: 'resources/profile_hydro.nc'
resources: mem=5000
# group: 'feedin_preparation'
script: 'scripts/build_hydro_profile.py'
rule add_electricity:
input:
base_network='networks/base.nc',
tech_costs=COSTS,
regions="resources/regions_onshore.geojson",
powerplants='resources/powerplants.csv',
hydro_capacities='data/bundle/hydro_capacities.csv',
geth_hydro_capacities='data/geth2015_hydro_capacities.csv',
opsd_load='data/bundle/time_series_60min_singleindex_filtered.csv',
nuts3_shapes='resources/nuts3_shapes.geojson',
**{'profile_' + t: "resources/profile_" + t + ".nc"
for t in config['renewable']}
output: "networks/elec.nc"
benchmark: "benchmarks/add_electricity"
threads: 1
resources: mem=3000
# group: 'build_pypsa_networks'
script: "scripts/add_electricity.py"
rule simplify_network:
input:
network='networks/{network}.nc',
tech_costs=COSTS,
regions_onshore="resources/regions_onshore.geojson",
regions_offshore="resources/regions_offshore.geojson"
output:
network='networks/{network}_s{simpl}.nc',
regions_onshore="resources/regions_onshore_{network}_s{simpl}.geojson",
regions_offshore="resources/regions_offshore_{network}_s{simpl}.geojson",
clustermaps='resources/clustermaps_{network}_s{simpl}.h5'
benchmark: "benchmarks/simplify_network/{network}_s{simpl}"
threads: 1
resources: mem=4000
# group: 'build_pypsa_networks'
script: "scripts/simplify_network.py"
rule cluster_network:
input:
network='networks/{network}_s{simpl}.nc',
regions_onshore="resources/regions_onshore_{network}_s{simpl}.geojson",
regions_offshore="resources/regions_offshore_{network}_s{simpl}.geojson",
clustermaps=ancient('resources/clustermaps_{network}_s{simpl}.h5')
output:
network='networks/{network}_s{simpl}_{clusters}.nc',
regions_onshore="resources/regions_onshore_{network}_s{simpl}_{clusters}.geojson",
regions_offshore="resources/regions_offshore_{network}_s{simpl}_{clusters}.geojson",
clustermaps='resources/clustermaps_{network}_s{simpl}_{clusters}.h5'
benchmark: "benchmarks/cluster_network/{network}_s{simpl}_{clusters}"
threads: 1
resources: mem=3000
# group: 'build_pypsa_networks'
script: "scripts/cluster_network.py"
# rule add_sectors:
# input:
# network="networks/elec_{cost}_{resarea}_{opts}.nc",
# emobility="data/emobility"
# output: "networks/sector_{cost}_{resarea}_{sectors}_{opts}.nc"
# benchmark: "benchmarks/add_sectors/sector_{resarea}_{sectors}_{opts}"
# threads: 1
# resources: mem=1000
# script: "scripts/add_sectors.py"
rule prepare_network:
input: 'networks/{network}_s{simpl}_{clusters}.nc', tech_costs=COSTS
output: 'networks/{network}_s{simpl}_{clusters}_l{ll}_{opts}.nc'
threads: 1
resources: mem=1000
# benchmark: "benchmarks/prepare_network/{network}_s{simpl}_{clusters}_l{ll}_{opts}"
script: "scripts/prepare_network.py"
def memory(w):
factor = 3.
for o in w.opts.split('-'):
m = re.match(r'^(\d+)h$', o, re.IGNORECASE)
if m is not None:
factor /= int(m.group(1))
break
if w.clusters.endswith('m'):
return int(factor * (18000 + 180 * int(w.clusters[:-1])))
else:
return int(factor * (10000 + 190 * int(w.clusters)))
# return 4890+310 * int(w.clusters)
rule solve_network:
input: "networks/{network}_s{simpl}_{clusters}_l{ll}_{opts}.nc"
output: "results/networks/{network}_s{simpl}_{clusters}_l{ll}_{opts}.nc"
shadow: "shallow"
log:
solver="logs/{network}_s{simpl}_{clusters}_l{ll}_{opts}_solver.log",
python="logs/{network}_s{simpl}_{clusters}_l{ll}_{opts}_python.log",
memory="logs/{network}_s{simpl}_{clusters}_l{ll}_{opts}_memory.log"
benchmark: "benchmarks/solve_network/{network}_s{simpl}_{clusters}_l{ll}_{opts}"
threads: 4
resources: mem=memory
# group: "solve" # with group, threads is ignored https://bitbucket.org/snakemake/snakemake/issues/971/group-job-description-does-not-contain
script: "scripts/solve_network.py"
rule solve_operations_network:
input:
unprepared="networks/{network}_s{simpl}_{clusters}.nc",
optimized="results/networks/{network}_s{simpl}_{clusters}_l{ll}_{opts}.nc"
output: "results/networks/{network}_s{simpl}_{clusters}_l{ll}_{opts}_op.nc"
shadow: "shallow"
log:
solver="logs/solve_operations_network/{network}_s{simpl}_{clusters}_l{ll}_{opts}_op_solver.log",
python="logs/solve_operations_network/{network}_s{simpl}_{clusters}_l{ll}_{opts}_op_python.log",
memory="logs/solve_operations_network/{network}_s{simpl}_{clusters}_l{ll}_{opts}_op_memory.log"
benchmark: "benchmarks/solve_operations_network/{network}_s{simpl}_{clusters}_l{ll}_{opts}"
threads: 4
resources: mem=(lambda w: 5000 + 372 * int(w.clusters))
# group: "solve_operations"
script: "scripts/solve_operations_network.py"
rule plot_network:
input:
network="results/networks/{network}_s{simpl}_{clusters}_l{ll}_{opts}.nc",
tech_costs=COSTS
output:
only_map="results/plots/{network}_s{simpl}_{clusters}_l{ll}_{opts}_{attr}.{ext}",
ext="results/plots/{network}_s{simpl}_{clusters}_l{ll}_{opts}_{attr}_ext.{ext}"
script: "scripts/plot_network.py"
def input_make_summary(w):
# It's mildly hacky to include the separate costs input as first entry
return ([COSTS] +
expand("results/networks/{network}_s{simpl}_{clusters}_l{ll}_{opts}.nc",
network=w.network,
**{k: config["scenario"][k] if getattr(w, k) == "all" else getattr(w, k)
for k in ["simpl", "clusters", "l", "opts"]}))
rule make_summary:
input: input_make_summary
output: directory("results/summaries/{network}_s{simpl}_{clusters}_l{ll}_{opts}_{country}")
script: "scripts/make_summary.py"
rule plot_summary:
input: "results/summaries/{network}_s{simpl}_{clusters}_l{ll}_{opts}_{country}"
output: "results/plots/summary_{summary}_{network}_s{simpl}_{clusters}_l{ll}_{opts}_{country}.{ext}"
script: "scripts/plot_summary.py"
# Local Variables:
# mode: python
# End: