Add land cover analysis for MD, UA (Quick & Dirty).
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Snakefile
@ -66,6 +66,43 @@ if config['enable'].get('retrieve_databundle', True):
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log: "logs/retrieve_databundle.log"
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script: 'scripts/retrieve_databundle.py'
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# Downloading Copernicus Global Land Cover for land cover and land use:
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# Website: https://land.copernicus.eu/global/products/lc
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rule download_copernicus_land_cover:
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input:
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HTTP.remote(
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"zenodo.org/record/3939050/files/PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
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static=True,
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),
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output:
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"resources/Copernicus_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
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shell:
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"mv {input} {output}"
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rule determine_availability_matrix_MD_UA:
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input:
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copernicus="resources/Copernicus_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
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gebco=lambda w: ("data/bundle/GEBCO_2014_2D.nc"
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if "max_depth" in config["renewable"][w.technology].keys()
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else []),
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country_shapes='resources/country_shapes.geojson',
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offshore_shapes='resources/offshore_shapes.geojson',
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regions=lambda w: ("resources/regions_onshore.geojson"
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if w.technology in ('onwind', 'solar')
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else "resources/regions_offshore.geojson"),
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cutout=lambda w: "cutouts/" + config["renewable"][w.technology]['cutout'] + ".nc"
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output:
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availability_matrix="resources/availability_matrix_MD-UA_{technology}.nc",
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log:
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"logs/determine_availability_matrix_MD_UA_{technology}.log",
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benchmark:
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"benchmarks/determine_availability_matrix_MD_UA_{technology}.log",
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threads:
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ATLITE_NPROCESSES
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resources:
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mem_mb=ATLITE_NPROCESSES * 5000
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notebook:
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"scripts/determine_availability_matrix_MD_UA.py.ipynb"
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rule retrieve_load_data:
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input: HTTP.remote("data.open-power-system-data.org/time_series/2019-06-05/time_series_60min_singleindex.csv", keep_local=True, static=True)
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@ -182,6 +219,14 @@ if config['enable'].get('retrieve_natura_raster', True):
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run: move(input[0], output[0])
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# Optional input when having Ukraine (UA) or Moldova (MD) in the countries list
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if {"UA", "MD"}.intersection(set(config["countries"])):
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opt = {
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"availability_matrix_MD_UA":"resources/availability_matrix_MD-UA_{technology}.nc"
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}
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else:
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opt = {}
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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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@ -195,7 +240,8 @@ rule build_renewable_profiles:
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regions=lambda w: ("resources/regions_onshore.geojson"
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if w.technology in ('onwind', 'solar')
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else "resources/regions_offshore.geojson"),
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cutout=lambda w: "cutouts/" + config["renewable"][w.technology]['cutout'] + ".nc"
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cutout=lambda w: "cutouts/" + config["renewable"][w.technology]['cutout'] + ".nc",
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**opt,
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output: profile="resources/profile_{technology}.nc",
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log: "logs/build_renewable_profile_{technology}.log"
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benchmark: "benchmarks/build_renewable_profiles_{technology}"
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@ -260,6 +260,12 @@ if __name__ == '__main__':
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else:
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availability = cutout.availabilitymatrix(regions, excluder, **kwargs)
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# For Moldova and Ukraine: Overwrite parts not covered by Corine with
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# externally determined available areas
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if "availability_matrix_MD_UA" in snakemake.input:
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availability_MDUA = xr.open_dataarray(snakemake.input["availability_matrix_MD_UA"])
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availability.loc[availability_MDUA.coords] = availability_MDUA
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area = cutout.grid.to_crs(3035).area / 1e6
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area = xr.DataArray(area.values.reshape(cutout.shape),
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[cutout.coords['y'], cutout.coords['x']])
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126
scripts/determine_availability_matrix_MD_UA.py.ipynb
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126
scripts/determine_availability_matrix_MD_UA.py.ipynb
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@ -0,0 +1,126 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1f7daec4",
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"metadata": {},
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"outputs": [],
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"source": [
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"import progressbar as pgb\n",
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"import geopandas as gpd\n",
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"import xarray as xr\n",
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"import numpy as np\n",
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"import functools\n",
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"import atlite\n",
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"import logging\n",
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"import time\n",
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"import matplotlib.pyplot as plt\n",
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"from _helpers import mock_snakemake\n",
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"\n",
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"from _helpers import configure_logging\n",
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"\n",
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"logger = logging.getLogger(__name__)\n",
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"\n",
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"if __name__ == '__main__':\n",
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" if 'snakemake' not in globals():\n",
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" from _helpers import mock_snakemake\n",
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" snakemake = mock_snakemake('determine_availability_matrix_MD_UA', technology='solar')\n",
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" configure_logging(snakemake)\n",
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" pgb.streams.wrap_stderr()\n",
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"\n",
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" nprocesses = snakemake.config['atlite'].get('nprocesses')\n",
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" noprogress = not snakemake.config['atlite'].get('show_progress', True)\n",
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" config = snakemake.config['renewable'][snakemake.wildcards.technology]\n",
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"\n",
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" cutout = atlite.Cutout(snakemake.input['cutout'])\n",
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" regions = gpd.read_file(snakemake.input.regions).set_index('name').rename_axis('bus')\n",
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" buses = regions.index\n",
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"\n",
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" excluder = atlite.ExclusionContainer(crs=3035, res=100)\n",
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"\n",
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" corine = config.get(\"corine\", {})\n",
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" if \"grid_codes\" in corine:\n",
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" \n",
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" # Land cover codes to emulate CORINE results\n",
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" if snakemake.wildcards.technology == \"solar\":\n",
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" codes = [20, 30, 40, 50, 60, 90, 100]\n",
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" elif snakemake.wildcards.technology == \"onwind\":\n",
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" codes = [20, 30, 40, 60, 100, 111, 112, 113, 114, 115, 116, 121, 122, 123, 124, 125, 126]\n",
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" elif snakemake.wildcards.technology == \"offshore-ac\":\n",
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" codes = [80, 200]\n",
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" elif snakemake.wildcards.technology == \"offshore-dc\":\n",
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" codes = [80, 200]\n",
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" else:\n",
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" assert False, \"technology not supported\"\n",
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" \n",
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" excluder.add_raster(snakemake.input.copernicus, codes=codes, invert=True, crs=\"EPSG:4326\")\n",
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" if \"distance\" in corine and corine.get(\"distance\", 0.) > 0.:\n",
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" # Land cover codes to emulate CORINE results\n",
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" if snakemake.wildcards.technology == \"onwind\":\n",
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" codes = [50]\n",
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" else:\n",
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" assert False, \"technology not supported\"\n",
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" \n",
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" buffer = corine[\"distance\"]\n",
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" excluder.add_raster(snakemake.input.copernicus, codes=codes, buffer=buffer, crs=\"EPSG:4326\")\n",
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"\n",
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" if \"max_depth\" in config:\n",
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" # lambda not supported for atlite + multiprocessing\n",
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" # use named function np.greater with partially frozen argument instead\n",
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" # and exclude areas where: -max_depth > grid cell depth\n",
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" func = functools.partial(np.greater,-config['max_depth'])\n",
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" excluder.add_raster(snakemake.input.gebco, codes=func, crs=4236, nodata=-1000)\n",
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"\n",
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" if 'min_shore_distance' in config:\n",
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" buffer = config['min_shore_distance']\n",
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" excluder.add_geometry(snakemake.input.country_shapes, buffer=buffer)\n",
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"\n",
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" if 'max_shore_distance' in config:\n",
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" buffer = config['max_shore_distance']\n",
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" excluder.add_geometry(snakemake.input.country_shapes, buffer=buffer, invert=True)\n",
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"\n",
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" kwargs = dict(nprocesses=nprocesses, disable_progressbar=noprogress)\n",
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" if noprogress:\n",
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" logger.info('Calculate landuse availabilities...')\n",
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" start = time.time()\n",
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" availability = cutout.availabilitymatrix(regions, excluder, **kwargs)\n",
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" duration = time.time() - start\n",
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" logger.info(f'Completed availability calculation ({duration:2.2f}s)')\n",
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" else:\n",
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" availability = cutout.availabilitymatrix(regions, excluder, **kwargs)\n",
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"\n",
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" # Limit results only to buses for UA and MD\n",
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" buses = regions.loc[regions[\"country\"].isin([\"UA\",\"MD\"])].index.values\n",
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" availability = availability.sel(bus=buses)\n",
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" \n",
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" # Save and plot for verification\n",
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" availability.to_netcdf(snakemake.output[\"availability_matrix\"])\n",
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" #availability.sum(dim=\"bus\").plot()\n",
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" #plt.title(technology)\n",
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" #plt.show()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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