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build_solar_thermal_profiles: parallelize

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Fabian Neumann 2022-12-28 12:21:46 +01:00
parent 494d3010eb
commit d37ffddd4f
2 changed files with 19 additions and 26 deletions
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11
Snakefile
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@ -207,16 +207,13 @@ rule build_cop_profiles:
rule build_solar_thermal_profiles:
input:
pop_layout_total="resources/pop_layout_total.nc",
pop_layout_urban="resources/pop_layout_urban.nc",
pop_layout_rural="resources/pop_layout_rural.nc",
pop_layout="resources/pop_layout_{scope}.nc",
regions_onshore=pypsaeur("resources/regions_onshore_elec_s{simpl}_{clusters}.geojson")
output:
solar_thermal_total="resources/solar_thermal_total_elec_s{simpl}_{clusters}.nc",
solar_thermal_urban="resources/solar_thermal_urban_elec_s{simpl}_{clusters}.nc",
solar_thermal_rural="resources/solar_thermal_rural_elec_s{simpl}_{clusters}.nc"
solar_thermal="resources/solar_thermal_{scope}_elec_s{simpl}_{clusters}.nc",
resources: mem_mb=20000
benchmark: "benchmarks/build_solar_thermal_profiles/s{simpl}_{clusters}"
threads: 16
benchmark: "benchmarks/build_solar_thermal_profiles/{scope}_s{simpl}_{clusters}"
script: "scripts/build_solar_thermal_profiles.py"

22
scripts/build_solar_thermal_profiles.py
View File

@ -5,6 +5,7 @@ import atlite
import pandas as pd
import xarray as xr
import numpy as np
from dask.distributed import Client, LocalCluster
if __name__ == '__main__':
if 'snakemake' not in globals():
@ -15,14 +16,9 @@ if __name__ == '__main__':
clusters=48,
)
if 'snakemake' not in globals():
from vresutils import Dict
import yaml
snakemake = Dict()
with open('config.yaml') as f:
snakemake.config = yaml.safe_load(f)
snakemake.input = Dict()
snakemake.output = Dict()
nprocesses = int(snakemake.threads)
cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
client = Client(cluster, asynchronous=True)
config = snakemake.config['solar_thermal']
@ -35,9 +31,7 @@ if __name__ == '__main__':
I = cutout.indicatormatrix(clustered_regions)
for area in ["total", "rural", "urban"]:
pop_layout = xr.open_dataarray(snakemake.input[f'pop_layout_{area}'])
pop_layout = xr.open_dataarray(snakemake.input.pop_layout)
stacked_pop = pop_layout.stack(spatial=('y', 'x'))
M = I.T.dot(np.diag(I.dot(stacked_pop)))
@ -47,6 +41,8 @@ if __name__ == '__main__':
M_tilde = M / nonzero_sum
solar_thermal = cutout.solar_thermal(**config, matrix=M_tilde.T,
index=clustered_regions.index)
index=clustered_regions.index,
dask_kwargs=dict(scheduler=client),
show_progress=False)
solar_thermal.to_netcdf(snakemake.output[f"solar_thermal_{area}"])
solar_thermal.to_netcdf(snakemake.output.solar_thermal)