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# SPDX-FileCopyrightText: PyPSA-Earth and PyPSA-Eur Authors
#
# SPDX-License-Identifier: AGPL-3.0-or-later
import sys
sys.path.append("./scripts")
from os.path import normpath, exists, isdir
from shutil import copyfile, move
from snakemake.remote.HTTP import RemoteProvider as HTTPRemoteProvider
from _helpers import (
create_country_list,
get_last_commit_message,
check_config_version,
copy_default_files,
)
from build_demand_profiles import get_load_paths_gegis
from retrieve_databundle_light import datafiles_retrivedatabundle
from pathlib import Path
HTTP = HTTPRemoteProvider()
copy_default_files()
configfile: "config.default.yaml"
configfile: "configs/bundle_config.yaml"
configfile: "configs/powerplantmatching_config.yaml"
configfile: "config.yaml"
check_config_version(config=config)
config.update({"git_commit": get_last_commit_message(".")})
# convert country list according to the desired region
config["countries"] = create_country_list(config["countries"])
# create a list of iteration steps, required to solve the experimental design
# each value is used as wildcard input e.g. solution_{unc}
config["scenario"]["unc"] = [
f"m{i}" for i in range(config["monte_carlo"]["options"]["samples"])
]
run = config.get("run", {})
RDIR = run["name"] + "/" if run.get("name") else ""
CDIR = RDIR if not run.get("shared_cutouts") else ""
SECDIR = run["sector_name"] + "/" if run.get("sector_name") else ""
SDIR = config["summary_dir"].strip("/") + f"/{SECDIR}"
RESDIR = config["results_dir"].strip("/") + f"/{SECDIR}"
load_data_paths = get_load_paths_gegis("data", config)
if config["enable"].get("retrieve_cost_data", True):
COSTS = "resources/" + RDIR + f"costs_{config['costs']['year']}.csv"
else:
COSTS = "data/costs.csv"
ATLITE_NPROCESSES = config["atlite"].get("nprocesses", 4)
wildcard_constraints:
simpl="[a-zA-Z0-9]*|all",
clusters="[0-9]+(m|flex)?|all|min",
ll="(v|c)([0-9\.]+|opt|all)|all",
opts="[-+a-zA-Z0-9\.]*",
unc="[-+a-zA-Z0-9\.]*",
sopts="[-+a-zA-Z0-9\.\s]*",
discountrate="[-+a-zA-Z0-9\.\s]*",
demand="[-+a-zA-Z0-9\.\s]*",
h2export="[0-9]+m?|all",
planning_horizons="20[2-9][0-9]|2100",
if config["custom_rules"] is not []:
for rule in config["custom_rules"]:
include: rule
rule clean:
run:
try:
shell("snakemake -j 1 solve_all_networks --delete-all-output")
except:
shell("snakemake -j 1 solve_all_networks_monte --delete-all-output")
pass
shell("snakemake -j 1 run_all_scenarios --delete-all-output")
rule solve_all_networks:
input:
expand(
"results/" + RDIR + "networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc",
**config["scenario"],
),
rule plot_all_p_nom:
input:
expand(
"results/"
+ RDIR
+ "plots/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_p_nom.{ext}",
**config["scenario"],
ext=["png", "pdf"],
),
rule make_all_summaries:
input:
expand(
"results/"
+ RDIR
+ "summaries/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{country}",
**config["scenario"],
country=["all"] + config["countries"],
),
rule plot_all_summaries:
input:
expand(
"results/"
+ RDIR
+ "plots/summary_{summary}_elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{country}.{ext}",
summary=["energy", "costs"],
**config["scenario"],
country=["all"] + config["countries"],
ext=["png", "pdf"],
),
if config["enable"].get("retrieve_databundle", True):
rule retrieve_databundle_light:
params:
countries=config["countries"],
tutorial=config["tutorial"],
hydrobasins_level=config["renewable"]["hydro"]["hydrobasins_level"],
output: #expand(directory('{file}') if isdir('{file}') else '{file}', file=datafiles)
expand("{file}", file=datafiles_retrivedatabundle(config)),
directory("data/landcover"),
log:
"logs/" + RDIR + "retrieve_databundle.log",
benchmark:
"benchmarks/" + RDIR + "retrieve_databundle_light"
script:
"scripts/retrieve_databundle_light.py"
if config["enable"].get("download_osm_data", True):
rule download_osm_data:
params:
countries=config["countries"],
output:
cables="resources/" + RDIR + "osm/raw/all_raw_cables.geojson",
generators="resources/" + RDIR + "osm/raw/all_raw_generators.geojson",
generators_csv="resources/" + RDIR + "osm/raw/all_raw_generators.csv",
lines="resources/" + RDIR + "osm/raw/all_raw_lines.geojson",
substations="resources/" + RDIR + "osm/raw/all_raw_substations.geojson",
log:
"logs/" + RDIR + "download_osm_data.log",
benchmark:
"benchmarks/" + RDIR + "download_osm_data"
script:
"scripts/download_osm_data.py"
rule clean_osm_data:
params:
crs=config["crs"],
clean_osm_data_options=config["clean_osm_data_options"],
input:
cables="resources/" + RDIR + "osm/raw/all_raw_cables.geojson",
generators="resources/" + RDIR + "osm/raw/all_raw_generators.geojson",
lines="resources/" + RDIR + "osm/raw/all_raw_lines.geojson",
substations="resources/" + RDIR + "osm/raw/all_raw_substations.geojson",
country_shapes="resources/" + RDIR + "shapes/country_shapes.geojson",
offshore_shapes="resources/" + RDIR + "shapes/offshore_shapes.geojson",
africa_shape="resources/" + RDIR + "shapes/africa_shape.geojson",
output:
generators="resources/" + RDIR + "osm/clean/all_clean_generators.geojson",
generators_csv="resources/" + RDIR + "osm/clean/all_clean_generators.csv",
lines="resources/" + RDIR + "osm/clean/all_clean_lines.geojson",
substations="resources/" + RDIR + "osm/clean/all_clean_substations.geojson",
log:
"logs/" + RDIR + "clean_osm_data.log",
benchmark:
"benchmarks/" + RDIR + "clean_osm_data"
script:
"scripts/clean_osm_data.py"
rule build_osm_network:
params:
build_osm_network=config.get("build_osm_network", {}),
countries=config["countries"],
crs=config["crs"],
input:
generators="resources/" + RDIR + "osm/clean/all_clean_generators.geojson",
lines="resources/" + RDIR + "osm/clean/all_clean_lines.geojson",
substations="resources/" + RDIR + "osm/clean/all_clean_substations.geojson",
country_shapes="resources/" + RDIR + "shapes/country_shapes.geojson",
output:
lines="resources/" + RDIR + "base_network/all_lines_build_network.csv",
converters="resources/" + RDIR + "base_network/all_converters_build_network.csv",
transformers="resources/"
+ RDIR
+ "base_network/all_transformers_build_network.csv",
substations="resources/" + RDIR + "base_network/all_buses_build_network.csv",
log:
"logs/" + RDIR + "build_osm_network.log",
benchmark:
"benchmarks/" + RDIR + "build_osm_network"
script:
"scripts/build_osm_network.py"
rule build_shapes:
params:
build_shape_options=config["build_shape_options"],
crs=config["crs"],
countries=config["countries"],
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',
eez="data/eez/eez_v11.gpkg",
output:
country_shapes="resources/" + RDIR + "shapes/country_shapes.geojson",
offshore_shapes="resources/" + RDIR + "shapes/offshore_shapes.geojson",
africa_shape="resources/" + RDIR + "shapes/africa_shape.geojson",
gadm_shapes="resources/" + RDIR + "shapes/gadm_shapes.geojson",
log:
"logs/" + RDIR + "build_shapes.log",
benchmark:
"benchmarks/" + RDIR + "build_shapes"
threads: 1
resources:
mem_mb=3096,
script:
"scripts/build_shapes.py"
rule base_network:
params:
voltages=config["electricity"]["voltages"],
transformers=config["transformers"],
snapshots=config["snapshots"],
links=config["links"],
lines=config["lines"],
hvdc_as_lines=config["electricity"]["hvdc_as_lines"],
countries=config["countries"],
base_network=config["base_network"],
input:
osm_buses="resources/" + RDIR + "base_network/all_buses_build_network.csv",
osm_lines="resources/" + RDIR + "base_network/all_lines_build_network.csv",
osm_converters="resources/"
+ RDIR
+ "base_network/all_converters_build_network.csv",
osm_transformers="resources/"
+ RDIR
+ "base_network/all_transformers_build_network.csv",
country_shapes="resources/" + RDIR + "shapes/country_shapes.geojson",
offshore_shapes="resources/" + RDIR + "shapes/offshore_shapes.geojson",
output:
"networks/" + RDIR + "base.nc",
log:
"logs/" + RDIR + "base_network.log",
benchmark:
"benchmarks/" + RDIR + "base_network"
threads: 1
resources:
mem_mb=500,
script:
"scripts/base_network.py"
rule build_bus_regions:
params:
alternative_clustering=config["cluster_options"]["alternative_clustering"],
crs=config["crs"],
countries=config["countries"],
input:
country_shapes="resources/" + RDIR + "shapes/country_shapes.geojson",
offshore_shapes="resources/" + RDIR + "shapes/offshore_shapes.geojson",
base_network="networks/" + RDIR + "base.nc",
#gadm_shapes="resources/" + RDIR + "shapes/MAR2.geojson",
#using this line instead of the following will test updated gadm shapes for MA.
#To use: downlaod file from the google drive and place it in resources/" + RDIR + "shapes/
#Link: https://drive.google.com/drive/u/1/folders/1dkW1wKBWvSY4i-XEuQFFBj242p0VdUlM
gadm_shapes="resources/" + RDIR + "shapes/gadm_shapes.geojson",
output:
regions_onshore="resources/" + RDIR + "bus_regions/regions_onshore.geojson",
regions_offshore="resources/" + RDIR + "bus_regions/regions_offshore.geojson",
log:
"logs/" + RDIR + "build_bus_regions.log",
benchmark:
"benchmarks/" + RDIR + "build_bus_regions"
threads: 1
resources:
mem_mb=1000,
script:
"scripts/build_bus_regions.py"
def terminate_if_cutout_exists(config=config):
"""
Check if any of the requested cutout files exist.
If that's the case, terminate execution to avoid data loss.
"""
config_cutouts = [
d_value["cutout"] for tc, d_value in config["renewable"].items()
] + list(config["atlite"]["cutouts"].keys())
for ct in set(config_cutouts):
cutout_fl = "cutouts/" + CDIR + ct + ".nc"
if os.path.exists(cutout_fl):
raise Exception(
"An option `build_cutout` is enabled, while a cutout file '"
+ cutout_fl
+ "' still exists and risks to be overwritten. If this is an intended behavior, please move or delete this file and re-run the rule. Otherwise, just disable the `build_cutout` rule in the config file."
)
if config["enable"].get("build_cutout", False):
terminate_if_cutout_exists(config)
rule build_cutout:
params:
snapshots=config["snapshots"],
cutouts=config["atlite"]["cutouts"],
input:
onshore_shapes="resources/" + RDIR + "shapes/country_shapes.geojson",
offshore_shapes="resources/" + RDIR + "shapes/offshore_shapes.geojson",
output:
"cutouts/" + CDIR + "{cutout}.nc",
log:
"logs/" + RDIR + "build_cutout/{cutout}.log",
benchmark:
"benchmarks/" + RDIR + "build_cutout_{cutout}"
threads: ATLITE_NPROCESSES
resources:
mem_mb=ATLITE_NPROCESSES * 1000,
script:
"scripts/build_cutout.py"
if config["enable"].get("build_natura_raster", False):
rule build_natura_raster:
params:
area_crs=config["crs"]["area_crs"],
input:
shapefiles_land="data/landcover",
cutouts=expand(
"cutouts/" + CDIR + "{cutout}.nc",
cutout=[c["cutout"] for _, c in config["renewable"].items()],
),
output:
"resources/" + RDIR + "natura.tiff",
log:
"logs/" + RDIR + "build_natura_raster.log",
benchmark:
"benchmarks/" + RDIR + "build_natura_raster"
script:
"scripts/build_natura_raster.py"
if not config["enable"].get("build_natura_raster", False):
rule copy_defaultnatura_tiff:
input:
"data/natura/natura.tiff",
output:
"resources/" + RDIR + "natura.tiff",
run:
import shutil
shutil.copyfile(input[0], output[0])
if config["enable"].get("retrieve_cost_data", True):
rule retrieve_cost_data:
params:
version=config["costs"]["version"],
input:
HTTP.remote(
f"raw.githubusercontent.com/PyPSA/technology-data/{config['costs']['version']}/outputs/"
+ "costs_{year}.csv",
keep_local=True,
),
output:
"resources/" + RDIR + "costs_{year}.csv",
log:
"logs/" + RDIR + "retrieve_cost_data_{year}.log",
resources:
mem_mb=5000,
run:
move(input[0], output[0])
rule build_demand_profiles:
params:
snapshots=config["snapshots"],
load_options=config["load_options"],
countries=config["countries"],
input:
base_network="networks/" + RDIR + "base.nc",
regions="resources/" + RDIR + "bus_regions/regions_onshore.geojson",
load=load_data_paths,
#gadm_shapes="resources/" + RDIR + "shapes/MAR2.geojson",
#using this line instead of the following will test updated gadm shapes for MA.
#To use: downlaod file from the google drive and place it in resources/" + RDIR + "shapes/
#Link: https://drive.google.com/drive/u/1/folders/1dkW1wKBWvSY4i-XEuQFFBj242p0VdUlM
gadm_shapes="resources/" + RDIR + "shapes/gadm_shapes.geojson",
output:
"resources/" + RDIR + "demand_profiles.csv",
log:
"logs/" + RDIR + "build_demand_profiles.log",
benchmark:
"benchmarks/" + RDIR + "build_demand_profiles"
threads: 1
resources:
mem_mb=3000,
script:
"scripts/build_demand_profiles.py"
rule build_renewable_profiles:
params:
crs=config["crs"],
renewable=config["renewable"],
countries=config["countries"],
alternative_clustering=config["cluster_options"]["alternative_clustering"],
input:
natura="resources/" + RDIR + "natura.tiff",
copernicus="data/copernicus/PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
gebco="data/gebco/GEBCO_2021_TID.nc",
country_shapes="resources/" + RDIR + "shapes/country_shapes.geojson",
offshore_shapes="resources/" + RDIR + "shapes/offshore_shapes.geojson",
hydro_capacities="data/hydro_capacities.csv",
eia_hydro_generation="data/eia_hydro_annual_generation.csv",
powerplants="resources/" + RDIR + "powerplants.csv",
regions=lambda w: (
"resources/" + RDIR + "bus_regions/regions_onshore.geojson"
if w.technology in ("onwind", "solar", "hydro", "csp")
else "resources/" + RDIR + "bus_regions/regions_offshore.geojson"
),
cutout=lambda w: "cutouts/"
+ CDIR
+ config["renewable"][w.technology]["cutout"]
+ ".nc",
output:
profile="resources/" + RDIR + "renewable_profiles/profile_{technology}.nc",
log:
"logs/" + RDIR + "build_renewable_profile_{technology}.log",
benchmark:
"benchmarks/" + RDIR + "build_renewable_profiles_{technology}"
threads: ATLITE_NPROCESSES
resources:
mem_mb=ATLITE_NPROCESSES * 5000,
script:
"scripts/build_renewable_profiles.py"
rule build_powerplants:
params:
geo_crs=config["crs"]["geo_crs"],
countries=config["countries"],
gadm_layer_id=config["build_shape_options"]["gadm_layer_id"],
alternative_clustering=config["cluster_options"]["alternative_clustering"],
powerplants_filter=config["electricity"]["powerplants_filter"],
input:
base_network="networks/" + RDIR + "base.nc",
pm_config="configs/powerplantmatching_config.yaml",
custom_powerplants="data/custom_powerplants.csv",
osm_powerplants="resources/" + RDIR + "osm/clean/all_clean_generators.csv",
#gadm_shapes="resources/" + RDIR + "shapes/MAR2.geojson",
#using this line instead of the following will test updated gadm shapes for MA.
#To use: downlaod file from the google drive and place it in resources/" + RDIR + "shapes/
#Link: https://drive.google.com/drive/u/1/folders/1dkW1wKBWvSY4i-XEuQFFBj242p0VdUlM
gadm_shapes="resources/" + RDIR + "shapes/gadm_shapes.geojson",
output:
powerplants="resources/" + RDIR + "powerplants.csv",
powerplants_osm2pm="resources/" + RDIR + "powerplants_osm2pm.csv",
log:
"logs/" + RDIR + "build_powerplants.log",
benchmark:
"benchmarks/" + RDIR + "build_powerplants"
threads: 1
resources:
mem_mb=500,
script:
"scripts/build_powerplants.py"
rule add_electricity:
params:
countries=config["countries"],
costs=config["costs"],
conventional=config.get("conventional", {}),
electricity=config["electricity"],
alternative_clustering=config["cluster_options"]["alternative_clustering"],
renewable=config["renewable"],
length_factor=config["lines"]["length_factor"],
input:
**{
f"profile_{tech}": "resources/"
+ RDIR
+ f"renewable_profiles/profile_{tech}.nc"
for tech in config["renewable"]
if tech in config["electricity"]["renewable_carriers"]
},
**{
f"conventional_{carrier}_{attr}": fn
for carrier, d in config.get("conventional", {None: {}}).items()
for attr, fn in d.items()
if str(fn).startswith("data/")
},
base_network="networks/" + RDIR + "base.nc",
tech_costs=COSTS,
powerplants="resources/" + RDIR + "powerplants.csv",
#gadm_shapes="resources/" + RDIR + "shapes/MAR2.geojson",
#using this line instead of the following will test updated gadm shapes for MA.
#To use: downlaod file from the google drive and place it in resources/" + RDIR + "shapes/
#Link: https://drive.google.com/drive/u/1/folders/1dkW1wKBWvSY4i-XEuQFFBj242p0VdUlM
gadm_shapes="resources/" + RDIR + "shapes/gadm_shapes.geojson",
hydro_capacities="data/hydro_capacities.csv",
demand_profiles="resources/" + RDIR + "demand_profiles.csv",
output:
"networks/" + RDIR + "elec.nc",
log:
"logs/" + RDIR + "add_electricity.log",
benchmark:
"benchmarks/" + RDIR + "add_electricity"
threads: 1
resources:
mem_mb=3000,
script:
"scripts/add_electricity.py"
rule simplify_network:
params:
renewable=config["renewable"],
geo_crs=config["crs"]["geo_crs"],
cluster_options=config["cluster_options"],
countries=config["countries"],
build_shape_options=config["build_shape_options"],
electricity=config["electricity"],
costs=config["costs"],
config_lines=config["lines"],
config_links=config["links"],
focus_weights=config.get("focus_weights", None),
input:
network="networks/" + RDIR + "elec.nc",
tech_costs=COSTS,
regions_onshore="resources/" + RDIR + "bus_regions/regions_onshore.geojson",
regions_offshore="resources/" + RDIR + "bus_regions/regions_offshore.geojson",
output:
network="networks/" + RDIR + "elec_s{simpl}.nc",
regions_onshore="resources/"
+ RDIR
+ "bus_regions/regions_onshore_elec_s{simpl}.geojson",
regions_offshore="resources/"
+ RDIR
+ "bus_regions/regions_offshore_elec_s{simpl}.geojson",
busmap="resources/" + RDIR + "bus_regions/busmap_elec_s{simpl}.csv",
connection_costs="resources/"
+ RDIR
+ "bus_regions/connection_costs_s{simpl}.csv",
log:
"logs/" + RDIR + "simplify_network/elec_s{simpl}.log",
benchmark:
"benchmarks/" + RDIR + "simplify_network/elec_s{simpl}"
threads: 1
resources:
mem_mb=4000,
script:
"scripts/simplify_network.py"
if config["augmented_line_connection"].get("add_to_snakefile", False) == True:
rule cluster_network:
params:
build_shape_options=config["build_shape_options"],
electricity=config["electricity"],
costs=config["costs"],
length_factor=config["lines"]["length_factor"],
renewable=config["renewable"],
geo_crs=config["crs"]["geo_crs"],
countries=config["countries"],
cluster_options=config["cluster_options"],
focus_weights=config.get("focus_weights", None),
#custom_busmap=config["enable"].get("custom_busmap", False)
input:
network="networks/" + RDIR + "elec_s{simpl}.nc",
country_shapes="resources/" + RDIR + "shapes/country_shapes.geojson",
regions_onshore="resources/"
+ RDIR
+ "bus_regions/regions_onshore_elec_s{simpl}.geojson",
regions_offshore="resources/"
+ RDIR
+ "bus_regions/regions_offshore_elec_s{simpl}.geojson",
#gadm_shapes="resources/" + RDIR + "shapes/MAR2.geojson",
#using this line instead of the following will test updated gadm shapes for MA.
#To use: downlaod file from the google drive and place it in resources/" + RDIR + "shapes/
#Link: https://drive.google.com/drive/u/1/folders/1dkW1wKBWvSY4i-XEuQFFBj242p0VdUlM
gadm_shapes="resources/" + RDIR + "shapes/gadm_shapes.geojson",
# busmap=ancient('resources/" + RDIR + "bus_regions/busmap_elec_s{simpl}.csv'),
# custom_busmap=("data/custom_busmap_elec_s{simpl}_{clusters}.csv"
# if config["enable"].get("custom_busmap", False) else []),
tech_costs=COSTS,
output:
network="networks/" + RDIR + "elec_s{simpl}_{clusters}_pre_augmentation.nc",
regions_onshore="resources/"
+ RDIR
+ "bus_regions/regions_onshore_elec_s{simpl}_{clusters}.geojson",
regions_offshore="resources/"
+ RDIR
+ "bus_regions/regions_offshore_elec_s{simpl}_{clusters}.geojson",
busmap="resources/"
+ RDIR
+ "bus_regions/busmap_elec_s{simpl}_{clusters}.csv",
linemap="resources/"
+ RDIR
+ "bus_regions/linemap_elec_s{simpl}_{clusters}.csv",
log:
"logs/" + RDIR + "cluster_network/elec_s{simpl}_{clusters}.log",
benchmark:
"benchmarks/" + RDIR + "cluster_network/elec_s{simpl}_{clusters}"
threads: 1
resources:
mem_mb=3000,
script:
"scripts/cluster_network.py"
rule augmented_line_connections:
params:
lines=config["lines"],
augmented_line_connection=config["augmented_line_connection"],
hvdc_as_lines=config["electricity"]["hvdc_as_lines"],
electricity=config["electricity"],
costs=config["costs"],
input:
tech_costs=COSTS,
network="networks/" + RDIR + "elec_s{simpl}_{clusters}_pre_augmentation.nc",
regions_onshore="resources/"
+ RDIR
+ "bus_regions/regions_onshore_elec_s{simpl}_{clusters}.geojson",
regions_offshore="resources/"
+ RDIR
+ "bus_regions/regions_offshore_elec_s{simpl}_{clusters}.geojson",
output:
network="networks/" + RDIR + "elec_s{simpl}_{clusters}.nc",
log:
"logs/" + RDIR + "augmented_line_connections/elec_s{simpl}_{clusters}.log",
benchmark:
"benchmarks/" + RDIR + "augmented_line_connections/elec_s{simpl}_{clusters}"
threads: 1
resources:
mem_mb=3000,
script:
"scripts/augmented_line_connections.py"
if config["augmented_line_connection"].get("add_to_snakefile", False) == False:
rule cluster_network:
params:
build_shape_options=config["build_shape_options"],
electricity=config["electricity"],
costs=config["costs"],
length_factor=config["lines"]["length_factor"],
renewable=config["renewable"],
geo_crs=config["crs"]["geo_crs"],
countries=config["countries"],
gadm_layer_id=config["build_shape_options"]["gadm_layer_id"],
cluster_options=config["cluster_options"],
input:
network="networks/" + RDIR + "elec_s{simpl}.nc",
country_shapes="resources/" + RDIR + "shapes/country_shapes.geojson",
regions_onshore="resources/"
+ RDIR
+ "bus_regions/regions_onshore_elec_s{simpl}.geojson",
regions_offshore="resources/"
+ RDIR
+ "bus_regions/regions_offshore_elec_s{simpl}.geojson",
#gadm_shapes="resources/" + RDIR + "shapes/MAR2.geojson",
#using this line instead of the following will test updated gadm shapes for MA.
#To use: downlaod file from the google drive and place it in resources/" + RDIR + "shapes/
#Link: https://drive.google.com/drive/u/1/folders/1dkW1wKBWvSY4i-XEuQFFBj242p0VdUlM
gadm_shapes="resources/" + RDIR + "shapes/gadm_shapes.geojson",
# busmap=ancient('resources/" + RDIR + "bus_regions/busmap_elec_s{simpl}.csv'),
# custom_busmap=("data/custom_busmap_elec_s{simpl}_{clusters}.csv"
# if config["enable"].get("custom_busmap", False) else []),
tech_costs=COSTS,
output:
network="networks/" + RDIR + "elec_s{simpl}_{clusters}.nc",
regions_onshore="resources/"
+ RDIR
+ "bus_regions/regions_onshore_elec_s{simpl}_{clusters}.geojson",
regions_offshore="resources/"
+ RDIR
+ "bus_regions/regions_offshore_elec_s{simpl}_{clusters}.geojson",
busmap="resources/"
+ RDIR
+ "bus_regions/busmap_elec_s{simpl}_{clusters}.csv",
linemap="resources/"
+ RDIR
+ "bus_regions/linemap_elec_s{simpl}_{clusters}.csv",
log:
"logs/" + RDIR + "cluster_network/elec_s{simpl}_{clusters}.log",
benchmark:
"benchmarks/" + RDIR + "cluster_network/elec_s{simpl}_{clusters}"
threads: 1
resources:
mem_mb=3000,
script:
"scripts/cluster_network.py"
rule add_extra_components:
input:
network="networks/" + RDIR + "elec_s{simpl}_{clusters}.nc",
tech_costs=COSTS,
output:
"networks/" + RDIR + "elec_s{simpl}_{clusters}_ec.nc",
log:
"logs/" + RDIR + "add_extra_components/elec_s{simpl}_{clusters}.log",
benchmark:
"benchmarks/" + RDIR + "add_extra_components/elec_s{simpl}_{clusters}_ec"
threads: 1
resources:
mem_mb=3000,
script:
"scripts/add_extra_components.py"
rule prepare_network:
params:
links=config["links"],
lines=config["lines"],
s_max_pu=config["lines"]["s_max_pu"],
electricity=config["electricity"],
costs=config["costs"],
input:
"networks/" + RDIR + "elec_s{simpl}_{clusters}_ec.nc",
tech_costs=COSTS,
output:
"networks/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc",
log:
"logs/" + RDIR + "prepare_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.log",
benchmark:
(
"benchmarks/"
+ RDIR
+ "prepare_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}"
)
threads: 1
resources:
mem_mb=4000,
script:
"scripts/prepare_network.py"
def memory(w):
factor = 3.0
for o in w.opts.split("-"):
m = re.match(r"^(\d+)h$", o, re.IGNORECASE)
if m is not None:
factor /= int(m.group(1))
break
for o in w.opts.split("-"):
m = re.match(r"^(\d+)seg$", o, re.IGNORECASE)
if m is not None:
factor *= int(m.group(1)) / 8760
break
if w.clusters.endswith("m"):
return int(factor * (18000 + 180 * int(w.clusters[:-1])))
elif w.clusters.endswith("flex"):
return int(factor * (18000 + 180 * int(w.clusters[:-4])))
elif w.clusters == "all":
return int(factor * (18000 + 180 * 4000))
elif w.clusters == "min":
return int(factor * (18000 + 180 * 20))
else:
return int(factor * (10000 + 195 * int(w.clusters)))
if config["monte_carlo"]["options"].get("add_to_snakefile", False) == False:
rule solve_network:
params:
solving=config["solving"],
augmented_line_connection=config["augmented_line_connection"],
input:
network="networks/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc",
output:
"results/" + RDIR + "networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc",
log:
solver=normpath(
"logs/"
+ RDIR
+ "solve_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_solver.log"
),
python="logs/"
+ RDIR
+ "solve_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_python.log",
benchmark:
(
"benchmarks/"
+ RDIR
+ "solve_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}"
)
threads: 20
resources:
mem=memory,
shadow:
"copy-minimal" if os.name == "nt" else "shallow"
script:
"scripts/solve_network.py"
if config["monte_carlo"]["options"].get("add_to_snakefile", False) == True:
rule monte_carlo:
params:
monte_carlo=config["monte_carlo"],
input:
"networks/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc",
output:
"networks/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{unc}.nc",
log:
"logs/"
+ RDIR
+ "prepare_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{unc}.log",
benchmark:
(
"benchmarks/"
+ RDIR
+ "prepare_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{unc}"
)
threads: 1
resources:
mem_mb=4000,
script:
"scripts/monte_carlo.py"
rule solve_monte:
input:
expand(
"networks/"
+ RDIR
+ "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{unc}.nc",
**config["scenario"],
),
rule solve_network:
params:
solving=config["solving"],
augmented_line_connection=config["augmented_line_connection"],
input:
network="networks/"
+ RDIR
+ "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{unc}.nc",
output:
"results/"
+ RDIR
+ "networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{unc}.nc",
log:
solver=normpath(
"logs/"
+ RDIR
+ "solve_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{unc}_solver.log"
),
python="logs/"
+ RDIR
+ "solve_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{unc}_python.log",
memory="logs/"
+ RDIR
+ "solve_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{unc}_memory.log",
benchmark:
(
"benchmarks/"
+ RDIR
+ "solve_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{unc}"
)
threads: 20
resources:
mem_mb=memory,
shadow:
"shallow"
script:
"scripts/solve_network.py"
rule solve_all_networks_monte:
input:
expand(
"results/"
+ RDIR
+ "networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{unc}.nc",
**config["scenario"],
),
def input_make_summary(w):
# It's mildly hacky to include the separate costs input as first entry
if w.ll.endswith("all"):
ll = config["scenario"]["ll"]
if len(w.ll) == 4:
ll = [l for l in ll if l[0] == w.ll[0]]
else:
ll = w.ll
return [COSTS] + expand(
"results/" + RDIR + "networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc",
ll=ll,
**{
k: config["scenario"][k] if getattr(w, k) == "all" else getattr(w, k)
for k in ["simpl", "clusters", "opts"]
},
)
rule make_summary:
params:
electricity=config["electricity"],
costs=config["costs"],
ll=config["scenario"]["ll"],
scenario=config["scenario"],
input:
input_make_summary,
tech_costs=COSTS,
output:
directory(
"results/"
+ RDIR
+ "summaries/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{country}"
),
log:
"logs/"
+ RDIR
+ "make_summary/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{country}.log",
script:
"scripts/make_summary.py"
rule prepare_sector_networks:
input:
expand(
RESDIR
+ "prenetworks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{sopts}_{planning_horizons}_{discountrate}_{demand}.nc",
**config["scenario"],
**config["costs"],
),
rule override_res_all_nets:
input:
expand(
RESDIR
+ "prenetworks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{sopts}_{planning_horizons}_{discountrate}_{demand}_presec.nc",
**config["scenario"],
**config["costs"],
**config["export"],
),
rule solve_sector_networks:
input:
expand(
RESDIR
+ "postnetworks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{sopts}_{planning_horizons}_{discountrate}_{demand}_{h2export}export.nc",
**config["scenario"],
**config["costs"],
**config["export"],
),
rule prepare_ports:
params:
custom_export=config["custom_data"]["export_ports"],
output:
ports="resources/" + SECDIR + "ports.csv",
export_ports="resources/" + SECDIR + "export_ports.csv",
script:
"scripts/prepare_ports.py"