gas_input: use HTTP remote, rename conversion factors, fix undesired rule removal
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Snakefile
@ -129,6 +129,12 @@ if config["sector"]["gas_network"] or config["sector"]["H2_retrofit"]:
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"IGGIELGN_PipeSegments.geojson",
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]
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rule retrieve_gas_infrastructure_data:
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output: expand("data/gas_network/scigrid-gas/data/{files}", files=datafiles)
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script: 'scripts/retrieve_gas_infrastructure_data.py'
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rule build_gas_network:
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input:
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gas_network="data/gas_network/scigrid-gas/data/IGGIELGN_PipeSegments.geojson"
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@ -137,13 +143,10 @@ if config["sector"]["gas_network"] or config["sector"]["H2_retrofit"]:
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resources: mem_mb=4000
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script: "scripts/build_gas_network.py"
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rule retrieve_gas_input_locations:
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output: "data/gas_network/Europe-Gas-Tracker-August-2022.geojson"
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script: 'scripts/retrieve_gas_input_locations.py'
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rule build_gas_input_locations:
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input:
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lng="https://globalenergymonitor.org/wp-content/uploads/2022/09/Europe-Gas-Tracker-August-2022.xlsx",
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lng=HTTP.remote("https://globalenergymonitor.org/wp-content/uploads/2022/09/Europe-Gas-Tracker-August-2022.xlsx", keep_local=True),
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entry="data/gas_network/scigrid-gas/data/IGGIELGN_BorderPoints.geojson",
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production="data/gas_network/scigrid-gas/data/IGGIELGN_Productions.geojson",
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regions_onshore=pypsaeur("resources/regions_onshore_elec_s{simpl}_{clusters}.geojson"),
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@ -18,28 +18,30 @@ def read_scigrid_gas(fn):
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df.drop(["param", "uncertainty", "method"], axis=1, inplace=True)
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return df
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def retrieve_gem_lng_data(lng_url):
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df = pd.read_excel(lng_url,storage_options={'User-Agent': 'Mozilla/5.0'}, sheet_name = 'LNG terminals - data')
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def build_gem_lng_data(lng_fn):
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df = pd.read_excel(lng_fn[0], sheet_name='LNG terminals - data')
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df = df.set_index("ComboID")
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remove_status = ['Cancelled']
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remove_country = ['Cyprus','Turkey']
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remove_terminal = ['Puerto de la Luz LNG Terminal','Gran Canaria LNG Terminal']
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remove_terminal = ['Puerto de la Luz LNG Terminal', 'Gran Canaria LNG Terminal']
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df = df.query("Status != 'Cancelled' \
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& Country != @remove_country \
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& TerminalName != @remove_terminal \
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& CapacityInMtpa != '--'")
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df.CapacityInMtpa = df.CapacityInMtpa.astype(float)
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geometry = gpd.points_from_xy(df['Longitude'], df['Latitude'])
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return gpd.GeoDataFrame(df, geometry=geometry, crs="EPSG:4326")
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def build_gas_input_locations(lng_url, entry_fn, prod_fn, countries):
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def build_gas_input_locations(lng_fn, entry_fn, prod_fn, countries):
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# LNG terminals
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lng = retrieve_gem_lng_data(lng_url)
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lng.CapacityInMtpa = lng.CapacityInMtpa.astype(float)
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lng = build_gem_lng_data(lng_fn)
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# Entry points from outside the model scope
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entry = read_scigrid_gas(entry_fn)
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@ -58,11 +60,11 @@ def build_gas_input_locations(lng_url, entry_fn, prod_fn, countries):
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(prod.country_code != "DE")
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]
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conversion_factor = 437.5 # MCM/day to MWh/h
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conversion_factor_lng = 1649.224 # mtpa to MWh/h
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lng["p_nom"] = lng["CapacityInMtpa"] * conversion_factor_lng
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entry["p_nom"] = entry["max_cap_from_to_M_m3_per_d"] * conversion_factor
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prod["p_nom"] = prod["max_supply_M_m3_per_d"] * conversion_factor
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mcm_per_day_to_mw = 437.5 # MCM/day to MWh/h
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mtpa_to_mw = 1649.224 # mtpa to MWh/h
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lng["p_nom"] = lng["CapacityInMtpa"] * mtpa_to_mw
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entry["p_nom"] = entry["max_cap_from_to_M_m3_per_d"] * mcm_per_day_to_mw
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prod["p_nom"] = prod["max_supply_M_m3_per_d"] * mcm_per_day_to_mw
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lng["type"] = "lng"
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entry["type"] = "pipeline"
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@ -78,7 +80,7 @@ if __name__ == "__main__":
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if 'snakemake' not in globals():
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from helper import mock_snakemake
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snakemake = mock_snakemake(
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'build_gas_import_locations',
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'build_gas_input_locations',
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simpl='',
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clusters='37',
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)
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