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build_renewable_profiles: Compute underwater_fraction

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This commit is contained in:
Jonas Hoersch 2018-12-11 17:30:25 +01:00
parent 4dc8e8fc35
commit 448ba651a0
2 changed files with 22 additions and 5 deletions
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1
Snakefile
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@ -107,6 +107,7 @@ rule build_renewable_profiles:
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"),

18
scripts/build_renewable_profiles.py
View File

@ -99,7 +99,7 @@ if __name__ == '__main__':
with Pool(initializer=init_globals, initargs=(bounds, dx, dy),
maxtasksperchild=20, processes=snakemake.config['atlite'].get('nprocesses', 2)) as pool:
regions = gk.vector.extractFeatures(snakemake.input.regions, onlyAttr=True) #.iloc[:10]
regions = gk.vector.extractFeatures(snakemake.input.regions, onlyAttr=True).iloc[:10]
buses = pd.Index(regions['name'], name="bus")
widgets = [
pgb.widgets.Percentage(),
@ -163,6 +163,7 @@ if __name__ == '__main__':
row = layoutmatrix[i]
distances = haversine(regions.loc[i, ['x', 'y']], cell_coords[row.indices])[0]
average_distance.append((distances * (row.data / row.data.sum())).sum())
average_distance = xr.DataArray(average_distance, [buses])
ds = xr.merge([(correction_factor * profile).rename('profile'),
@ -170,5 +171,20 @@ if __name__ == '__main__':
p_nom_max.rename('p_nom_max'),
layout.rename('potential'),
average_distance.rename('average_distance')])
if snakemake.wildcards.technology.startswith("offwind"):
import geopandas as gpd
from shapely.geometry import LineString
offshore_shape = gpd.read_file(snakemake.input.offshore_shapes).set_index('id').unary_union
underwater_fraction = []
for i in regions.index:
row = layoutmatrix[i]
centre_of_mass = (cell_coords[row.indices] * (row.data / row.data.sum())[:,np.newaxis]).sum(axis=0)
line = LineString([centre_of_mass, regions.loc[i, ['x', 'y']]])
underwater_fraction.append(line.intersection(offshore_shape).length / line.length)
ds['underwater_fraction'] = xr.DataArray(underwater_fraction, [buses])
(ds.sel(bus=(ds['profile'].mean('time') > config.get('min_p_max_pu', 0.)) & (ds['p_nom_max'] > 0.))
.to_netcdf(snakemake.output.profile))