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gas_input: use HTTP remote, rename conversion factors, fix undesired rule removal

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This commit is contained in:
Fabian Neumann 2023-02-16 18:27:57 +01:00
parent 963e7cdbcf
commit ece64a73c1
2 changed files with 21 additions and 16 deletions
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11
Snakefile
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@ -129,6 +129,12 @@ if config["sector"]["gas_network"] or config["sector"]["H2_retrofit"]:
"IGGIELGN_PipeSegments.geojson", "IGGIELGN_PipeSegments.geojson",
] ]
rule retrieve_gas_infrastructure_data:
output: expand("data/gas_network/scigrid-gas/data/{files}", files=datafiles)
script: 'scripts/retrieve_gas_infrastructure_data.py'
rule build_gas_network: rule build_gas_network:
input: input:
gas_network="data/gas_network/scigrid-gas/data/IGGIELGN_PipeSegments.geojson" gas_network="data/gas_network/scigrid-gas/data/IGGIELGN_PipeSegments.geojson"
@ -137,13 +143,10 @@ if config["sector"]["gas_network"] or config["sector"]["H2_retrofit"]:
resources: mem_mb=4000 resources: mem_mb=4000
script: "scripts/build_gas_network.py" script: "scripts/build_gas_network.py"
rule retrieve_gas_input_locations:
output: "data/gas_network/Europe-Gas-Tracker-August-2022.geojson"
script: 'scripts/retrieve_gas_input_locations.py'
rule build_gas_input_locations: rule build_gas_input_locations:
input: input:
lng="https://globalenergymonitor.org/wp-content/uploads/2022/09/Europe-Gas-Tracker-August-2022.xlsx", lng=HTTP.remote("https://globalenergymonitor.org/wp-content/uploads/2022/09/Europe-Gas-Tracker-August-2022.xlsx", keep_local=True),
entry="data/gas_network/scigrid-gas/data/IGGIELGN_BorderPoints.geojson", entry="data/gas_network/scigrid-gas/data/IGGIELGN_BorderPoints.geojson",
production="data/gas_network/scigrid-gas/data/IGGIELGN_Productions.geojson", production="data/gas_network/scigrid-gas/data/IGGIELGN_Productions.geojson",
regions_onshore=pypsaeur("resources/regions_onshore_elec_s{simpl}_{clusters}.geojson"), regions_onshore=pypsaeur("resources/regions_onshore_elec_s{simpl}_{clusters}.geojson"),

24
scripts/build_gas_input_locations.py
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@ -18,8 +18,9 @@ def read_scigrid_gas(fn):
df.drop(["param", "uncertainty", "method"], axis=1, inplace=True) df.drop(["param", "uncertainty", "method"], axis=1, inplace=True)
return df return df
def retrieve_gem_lng_data(lng_url):
df = pd.read_excel(lng_url,storage_options={'User-Agent': 'Mozilla/5.0'}, sheet_name = 'LNG terminals - data') def build_gem_lng_data(lng_fn):
df = pd.read_excel(lng_fn[0], sheet_name='LNG terminals - data')
df = df.set_index("ComboID") df = df.set_index("ComboID")
remove_status = ['Cancelled'] remove_status = ['Cancelled']
@ -31,15 +32,16 @@ def retrieve_gem_lng_data(lng_url):
& TerminalName != @remove_terminal \ & TerminalName != @remove_terminal \
& CapacityInMtpa != '--'") & CapacityInMtpa != '--'")
df.CapacityInMtpa = df.CapacityInMtpa.astype(float)
geometry = gpd.points_from_xy(df['Longitude'], df['Latitude']) geometry = gpd.points_from_xy(df['Longitude'], df['Latitude'])
return gpd.GeoDataFrame(df, geometry=geometry, crs="EPSG:4326") return gpd.GeoDataFrame(df, geometry=geometry, crs="EPSG:4326")
def build_gas_input_locations(lng_url, entry_fn, prod_fn, countries): def build_gas_input_locations(lng_fn, entry_fn, prod_fn, countries):
# LNG terminals # LNG terminals
lng = retrieve_gem_lng_data(lng_url) lng = build_gem_lng_data(lng_fn)
lng.CapacityInMtpa = lng.CapacityInMtpa.astype(float)
# Entry points from outside the model scope # Entry points from outside the model scope
entry = read_scigrid_gas(entry_fn) entry = read_scigrid_gas(entry_fn)
@ -58,11 +60,11 @@ def build_gas_input_locations(lng_url, entry_fn, prod_fn, countries):
(prod.country_code != "DE") (prod.country_code != "DE")
] ]
conversion_factor = 437.5 # MCM/day to MWh/h mcm_per_day_to_mw = 437.5 # MCM/day to MWh/h
conversion_factor_lng = 1649.224 # mtpa to MWh/h mtpa_to_mw = 1649.224 # mtpa to MWh/h
lng["p_nom"] = lng["CapacityInMtpa"] * conversion_factor_lng lng["p_nom"] = lng["CapacityInMtpa"] * mtpa_to_mw
entry["p_nom"] = entry["max_cap_from_to_M_m3_per_d"] * conversion_factor entry["p_nom"] = entry["max_cap_from_to_M_m3_per_d"] * mcm_per_day_to_mw
prod["p_nom"] = prod["max_supply_M_m3_per_d"] * conversion_factor prod["p_nom"] = prod["max_supply_M_m3_per_d"] * mcm_per_day_to_mw
lng["type"] = "lng" lng["type"] = "lng"
entry["type"] = "pipeline" entry["type"] = "pipeline"
@ -78,7 +80,7 @@ if __name__ == "__main__":
if 'snakemake' not in globals(): if 'snakemake' not in globals():
from helper import mock_snakemake from helper import mock_snakemake
snakemake = mock_snakemake( snakemake = mock_snakemake(
'build_gas_import_locations', 'build_gas_input_locations',
simpl='', simpl='',
clusters='37', clusters='37',
) )