Add land cover analysis for MD, UA (Quick & Dirty).

This commit is contained in:
euronion 2022-03-17 17:56:13 +01:00
parent 08ad16a962
commit 3e14156709
3 changed files with 179 additions and 1 deletions

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@ -66,6 +66,43 @@ if config['enable'].get('retrieve_databundle', True):
log: "logs/retrieve_databundle.log"
script: 'scripts/retrieve_databundle.py'
# Downloading Copernicus Global Land Cover for land cover and land use:
# Website: https://land.copernicus.eu/global/products/lc
rule download_copernicus_land_cover:
input:
HTTP.remote(
"zenodo.org/record/3939050/files/PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
static=True,
),
output:
"resources/Copernicus_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
shell:
"mv {input} {output}"
rule determine_availability_matrix_MD_UA:
input:
copernicus="resources/Copernicus_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
gebco=lambda w: ("data/bundle/GEBCO_2014_2D.nc"
if "max_depth" in config["renewable"][w.technology].keys()
else []),
country_shapes='resources/country_shapes.geojson',
offshore_shapes='resources/offshore_shapes.geojson',
regions=lambda w: ("resources/regions_onshore.geojson"
if w.technology in ('onwind', 'solar')
else "resources/regions_offshore.geojson"),
cutout=lambda w: "cutouts/" + config["renewable"][w.technology]['cutout'] + ".nc"
output:
availability_matrix="resources/availability_matrix_MD-UA_{technology}.nc",
log:
"logs/determine_availability_matrix_MD_UA_{technology}.log",
benchmark:
"benchmarks/determine_availability_matrix_MD_UA_{technology}.log",
threads:
ATLITE_NPROCESSES
resources:
mem_mb=ATLITE_NPROCESSES * 5000
notebook:
"scripts/determine_availability_matrix_MD_UA.py.ipynb"
rule retrieve_load_data:
input: HTTP.remote("data.open-power-system-data.org/time_series/2019-06-05/time_series_60min_singleindex.csv", keep_local=True, static=True)
@ -182,6 +219,14 @@ if config['enable'].get('retrieve_natura_raster', True):
run: move(input[0], output[0])
# Optional input when having Ukraine (UA) or Moldova (MD) in the countries list
if {"UA", "MD"}.intersection(set(config["countries"])):
opt = {
"availability_matrix_MD_UA":"resources/availability_matrix_MD-UA_{technology}.nc"
}
else:
opt = {}
rule build_renewable_profiles:
input:
base_network="networks/base.nc",
@ -195,7 +240,8 @@ rule build_renewable_profiles:
regions=lambda w: ("resources/regions_onshore.geojson"
if w.technology in ('onwind', 'solar')
else "resources/regions_offshore.geojson"),
cutout=lambda w: "cutouts/" + config["renewable"][w.technology]['cutout'] + ".nc"
cutout=lambda w: "cutouts/" + config["renewable"][w.technology]['cutout'] + ".nc",
**opt,
output: profile="resources/profile_{technology}.nc",
log: "logs/build_renewable_profile_{technology}.log"
benchmark: "benchmarks/build_renewable_profiles_{technology}"

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@ -260,6 +260,12 @@ if __name__ == '__main__':
else:
availability = cutout.availabilitymatrix(regions, excluder, **kwargs)
# For Moldova and Ukraine: Overwrite parts not covered by Corine with
# externally determined available areas
if "availability_matrix_MD_UA" in snakemake.input:
availability_MDUA = xr.open_dataarray(snakemake.input["availability_matrix_MD_UA"])
availability.loc[availability_MDUA.coords] = availability_MDUA
area = cutout.grid.to_crs(3035).area / 1e6
area = xr.DataArray(area.values.reshape(cutout.shape),
[cutout.coords['y'], cutout.coords['x']])

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@ -0,0 +1,126 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "1f7daec4",
"metadata": {},
"outputs": [],
"source": [
"import progressbar as pgb\n",
"import geopandas as gpd\n",
"import xarray as xr\n",
"import numpy as np\n",
"import functools\n",
"import atlite\n",
"import logging\n",
"import time\n",
"import matplotlib.pyplot as plt\n",
"from _helpers import mock_snakemake\n",
"\n",
"from _helpers import configure_logging\n",
"\n",
"logger = logging.getLogger(__name__)\n",
"\n",
"if __name__ == '__main__':\n",
" if 'snakemake' not in globals():\n",
" from _helpers import mock_snakemake\n",
" snakemake = mock_snakemake('determine_availability_matrix_MD_UA', technology='solar')\n",
" configure_logging(snakemake)\n",
" pgb.streams.wrap_stderr()\n",
"\n",
" nprocesses = snakemake.config['atlite'].get('nprocesses')\n",
" noprogress = not snakemake.config['atlite'].get('show_progress', True)\n",
" config = snakemake.config['renewable'][snakemake.wildcards.technology]\n",
"\n",
" cutout = atlite.Cutout(snakemake.input['cutout'])\n",
" regions = gpd.read_file(snakemake.input.regions).set_index('name').rename_axis('bus')\n",
" buses = regions.index\n",
"\n",
" excluder = atlite.ExclusionContainer(crs=3035, res=100)\n",
"\n",
" corine = config.get(\"corine\", {})\n",
" if \"grid_codes\" in corine:\n",
" \n",
" # Land cover codes to emulate CORINE results\n",
" if snakemake.wildcards.technology == \"solar\":\n",
" codes = [20, 30, 40, 50, 60, 90, 100]\n",
" elif snakemake.wildcards.technology == \"onwind\":\n",
" codes = [20, 30, 40, 60, 100, 111, 112, 113, 114, 115, 116, 121, 122, 123, 124, 125, 126]\n",
" elif snakemake.wildcards.technology == \"offshore-ac\":\n",
" codes = [80, 200]\n",
" elif snakemake.wildcards.technology == \"offshore-dc\":\n",
" codes = [80, 200]\n",
" else:\n",
" assert False, \"technology not supported\"\n",
" \n",
" excluder.add_raster(snakemake.input.copernicus, codes=codes, invert=True, crs=\"EPSG:4326\")\n",
" if \"distance\" in corine and corine.get(\"distance\", 0.) > 0.:\n",
" # Land cover codes to emulate CORINE results\n",
" if snakemake.wildcards.technology == \"onwind\":\n",
" codes = [50]\n",
" else:\n",
" assert False, \"technology not supported\"\n",
" \n",
" buffer = corine[\"distance\"]\n",
" excluder.add_raster(snakemake.input.copernicus, codes=codes, buffer=buffer, crs=\"EPSG:4326\")\n",
"\n",
" if \"max_depth\" in config:\n",
" # lambda not supported for atlite + multiprocessing\n",
" # use named function np.greater with partially frozen argument instead\n",
" # and exclude areas where: -max_depth > grid cell depth\n",
" func = functools.partial(np.greater,-config['max_depth'])\n",
" excluder.add_raster(snakemake.input.gebco, codes=func, crs=4236, nodata=-1000)\n",
"\n",
" if 'min_shore_distance' in config:\n",
" buffer = config['min_shore_distance']\n",
" excluder.add_geometry(snakemake.input.country_shapes, buffer=buffer)\n",
"\n",
" if 'max_shore_distance' in config:\n",
" buffer = config['max_shore_distance']\n",
" excluder.add_geometry(snakemake.input.country_shapes, buffer=buffer, invert=True)\n",
"\n",
" kwargs = dict(nprocesses=nprocesses, disable_progressbar=noprogress)\n",
" if noprogress:\n",
" logger.info('Calculate landuse availabilities...')\n",
" start = time.time()\n",
" availability = cutout.availabilitymatrix(regions, excluder, **kwargs)\n",
" duration = time.time() - start\n",
" logger.info(f'Completed availability calculation ({duration:2.2f}s)')\n",
" else:\n",
" availability = cutout.availabilitymatrix(regions, excluder, **kwargs)\n",
"\n",
" # Limit results only to buses for UA and MD\n",
" buses = regions.loc[regions[\"country\"].isin([\"UA\",\"MD\"])].index.values\n",
" availability = availability.sel(bus=buses)\n",
" \n",
" # Save and plot for verification\n",
" availability.to_netcdf(snakemake.output[\"availability_matrix\"])\n",
" #availability.sum(dim=\"bus\").plot()\n",
" #plt.title(technology)\n",
" #plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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