add planned LNG terminals from gem.wiki and convert units to MW
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57c0dd29d1
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12ef1302e6
@ -104,6 +104,7 @@ if config["sector"]["gas_network"]:
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lng="data/gas_network/scigrid-gas/data/IGGIELGN_LNGs.geojson",
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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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planned_lng="data/gas_network/planned_LNGs.csv"
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regions_onshore=pypsaeur("resources/regions_onshore_elec_s{simpl}_{clusters}.geojson"),
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output:
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gas_input_nodes="resources/gas_input_locations_s{simpl}_{clusters}.geojson"
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8
data/gas_network/planned_LNGs.csv
Normal file
8
data/gas_network/planned_LNGs.csv
Normal file
@ -0,0 +1,8 @@
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name,geometry,max_cap_store2pipe_M_m3_per_d,source
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Wilhelmshaven,"POINT(8.133 53.516)",27.4,https://www.gem.wiki/Wilhelmshaven_LNG_Terminal
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Brunsbüttel,"POINT(8.976 53.914)",19.2,https://www.gem.wiki/Brunsb%C3%BCttel_LNG_Terminal
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Stade,"POINT(9.510 53.652)",32.9,https://www.gem.wiki/Stade_LNG_Terminal
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Alexandroupolis,"POINT(25.843 40.775)",16.7,https://www.gem.wiki/Alexandroupolis_LNG_Terminal
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Shannon,"POINT(-9.442 52.581)",22.5,https://www.gem.wiki/Shannon_LNG_Terminal
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Gothenburg,"POINT(11.948 57.702)",1.4,https://www.gem.wiki/Gothenburg_LNG_Terminal
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Cork,"POINT(-8.323 51.831)",11.0,https://www.gem.wiki/Cork_LNG_Terminal
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@ -7,6 +7,7 @@ logger = logging.getLogger(__name__)
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import pandas as pd
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import geopandas as gpd
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from shapely import wkt
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def read_scigrid_gas(fn):
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@ -16,10 +17,14 @@ def read_scigrid_gas(fn):
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return df
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def build_gas_input_locations(lng_fn, entry_fn, prod_fn, countries):
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def build_gas_input_locations(lng_fn, planned_lng_fn, entry_fn, prod_fn, countries):
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# LNG terminals
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lng = read_scigrid_gas(lng_fn)
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planned_lng = pd.read_csv(planned_lng_fn)
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planned_lng.geometry = planned_lng.geometry.apply(wkt.loads)
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planned_lng = gpd.GeoDataFrame(planned_lng, crs=4326)
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lng = lng.append(planned_lng, ignore_index=True)
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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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@ -38,15 +43,16 @@ def build_gas_input_locations(lng_fn, entry_fn, prod_fn, countries):
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(prod.country_code != "DE")
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]
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lng["mcm_per_day"] = lng["max_cap_store2pipe_M_m3_per_d"]
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entry["mcm_per_day"] = entry["max_cap_from_to_M_m3_per_d"]
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prod["mcm_per_day"] = prod["max_supply_M_m3_per_d"]
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conversion_factor = 437.5 # MCM/day to MWh/h
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lng["p_nom"] = lng["max_cap_store2pipe_M_m3_per_d"] * conversion_factor
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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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lng["type"] = "lng"
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entry["type"] = "entry"
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entry["type"] = "pipeline"
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prod["type"] = "production"
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sel = ["geometry", "mcm_per_day", "type"]
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sel = ["geometry", "p_nom", "type"]
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return pd.concat([prod[sel], entry[sel], lng[sel]], ignore_index=True)
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@ -69,6 +75,7 @@ if __name__ == "__main__":
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gas_input_locations = build_gas_input_locations(
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snakemake.input.lng,
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snakemake.input.planned_lng,
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snakemake.input.entry,
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snakemake.input.production,
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countries
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@ -85,7 +92,7 @@ if __name__ == "__main__":
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gas_input_nodes.to_file(snakemake.output.gas_input_nodes, driver='GeoJSON')
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gas_input_nodes_s = gas_input_nodes.groupby(["bus", "type"])["mcm_per_day"].sum().unstack()
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gas_input_nodes_s.columns.name = "mcm_per_day"
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gas_input_nodes_s = gas_input_nodes.groupby(["bus", "type"])["p_nom"].sum().unstack()
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gas_input_nodes_s.columns.name = "p_nom"
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gas_input_nodes_s.to_csv(snakemake.output.gas_input_nodes_simplified)
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