bjoern/pypsa-eur
1
0
Fork 0
Code Issues Pull Requests Actions 1 Packages Projects Releases Wiki Activity

add planned LNG terminals from gem.wiki and convert units to MW

Browse Source
This commit is contained in:
Fabian Neumann 2021-11-10 18:05:47 +01:00
parent 57c0dd29d1
commit 12ef1302e6
3 changed files with 24 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
Snakefile
View File

@ -104,6 +104,7 @@ if config["sector"]["gas_network"]:
lng="data/gas_network/scigrid-gas/data/IGGIELGN_LNGs.geojson", lng="data/gas_network/scigrid-gas/data/IGGIELGN_LNGs.geojson",
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",
planned_lng="data/gas_network/planned_LNGs.csv"
regions_onshore=pypsaeur("resources/regions_onshore_elec_s{simpl}_{clusters}.geojson"), regions_onshore=pypsaeur("resources/regions_onshore_elec_s{simpl}_{clusters}.geojson"),
output: output:
gas_input_nodes="resources/gas_input_locations_s{simpl}_{clusters}.geojson" gas_input_nodes="resources/gas_input_locations_s{simpl}_{clusters}.geojson"

8
data/gas_network/planned_LNGs.csv Normal file
View File

@ -0,0 +1,8 @@
name,geometry,max_cap_store2pipe_M_m3_per_d,source
Wilhelmshaven,"POINT(8.133 53.516)",27.4,https://www.gem.wiki/Wilhelmshaven_LNG_Terminal
Brunsbüttel,"POINT(8.976 53.914)",19.2,https://www.gem.wiki/Brunsb%C3%BCttel_LNG_Terminal
Stade,"POINT(9.510 53.652)",32.9,https://www.gem.wiki/Stade_LNG_Terminal
Alexandroupolis,"POINT(25.843 40.775)",16.7,https://www.gem.wiki/Alexandroupolis_LNG_Terminal
Shannon,"POINT(-9.442 52.581)",22.5,https://www.gem.wiki/Shannon_LNG_Terminal
Gothenburg,"POINT(11.948 57.702)",1.4,https://www.gem.wiki/Gothenburg_LNG_Terminal
Cork,"POINT(-8.323 51.831)",11.0,https://www.gem.wiki/Cork_LNG_Terminal
1 name geometry max_cap_store2pipe_M_m3_per_d source
2 Wilhelmshaven POINT(8.133 53.516) 27.4 https://www.gem.wiki/Wilhelmshaven_LNG_Terminal
3 Brunsbüttel POINT(8.976 53.914) 19.2 https://www.gem.wiki/Brunsb%C3%BCttel_LNG_Terminal
4 Stade POINT(9.510 53.652) 32.9 https://www.gem.wiki/Stade_LNG_Terminal
5 Alexandroupolis POINT(25.843 40.775) 16.7 https://www.gem.wiki/Alexandroupolis_LNG_Terminal
6 Shannon POINT(-9.442 52.581) 22.5 https://www.gem.wiki/Shannon_LNG_Terminal
7 Gothenburg POINT(11.948 57.702) 1.4 https://www.gem.wiki/Gothenburg_LNG_Terminal
8 Cork POINT(-8.323 51.831) 11.0 https://www.gem.wiki/Cork_LNG_Terminal

23
scripts/build_gas_input_locations.py
View File

@ -7,6 +7,7 @@ logger = logging.getLogger(__name__)
import pandas as pd import pandas as pd
import geopandas as gpd import geopandas as gpd
from shapely import wkt
def read_scigrid_gas(fn): def read_scigrid_gas(fn):
@ -16,10 +17,14 @@ def read_scigrid_gas(fn):
return df return df
def build_gas_input_locations(lng_fn, entry_fn, prod_fn, countries): def build_gas_input_locations(lng_fn, planned_lng_fn, entry_fn, prod_fn, countries):
# LNG terminals # LNG terminals
lng = read_scigrid_gas(lng_fn) lng = read_scigrid_gas(lng_fn)
planned_lng = pd.read_csv(planned_lng_fn)
planned_lng.geometry = planned_lng.geometry.apply(wkt.loads)
planned_lng = gpd.GeoDataFrame(planned_lng, crs=4326)
lng = lng.append(planned_lng, ignore_index=True)
# 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)
@ -38,15 +43,16 @@ def build_gas_input_locations(lng_fn, entry_fn, prod_fn, countries):
(prod.country_code != "DE") (prod.country_code != "DE")
] ]
lng["mcm_per_day"] = lng["max_cap_store2pipe_M_m3_per_d"] conversion_factor = 437.5 # MCM/day to MWh/h
entry["mcm_per_day"] = entry["max_cap_from_to_M_m3_per_d"] lng["p_nom"] = lng["max_cap_store2pipe_M_m3_per_d"] * conversion_factor
prod["mcm_per_day"] = prod["max_supply_M_m3_per_d"] entry["p_nom"] = entry["max_cap_from_to_M_m3_per_d"] * conversion_factor
prod["p_nom"] = prod["max_supply_M_m3_per_d"] * conversion_factor
lng["type"] = "lng" lng["type"] = "lng"
entry["type"] = "entry" entry["type"] = "pipeline"
prod["type"] = "production" prod["type"] = "production"
sel = ["geometry", "mcm_per_day", "type"] sel = ["geometry", "p_nom", "type"]
return pd.concat([prod[sel], entry[sel], lng[sel]], ignore_index=True) return pd.concat([prod[sel], entry[sel], lng[sel]], ignore_index=True)
@ -69,6 +75,7 @@ if __name__ == "__main__":
gas_input_locations = build_gas_input_locations( gas_input_locations = build_gas_input_locations(
snakemake.input.lng, snakemake.input.lng,
snakemake.input.planned_lng,
snakemake.input.entry, snakemake.input.entry,
snakemake.input.production, snakemake.input.production,
countries countries
@ -85,7 +92,7 @@ if __name__ == "__main__":
gas_input_nodes.to_file(snakemake.output.gas_input_nodes, driver='GeoJSON') gas_input_nodes.to_file(snakemake.output.gas_input_nodes, driver='GeoJSON')
gas_input_nodes_s = gas_input_nodes.groupby(["bus", "type"])["mcm_per_day"].sum().unstack() gas_input_nodes_s = gas_input_nodes.groupby(["bus", "type"])["p_nom"].sum().unstack()
gas_input_nodes_s.columns.name = "mcm_per_day" gas_input_nodes_s.columns.name = "p_nom"
gas_input_nodes_s.to_csv(snakemake.output.gas_input_nodes_simplified) gas_input_nodes_s.to_csv(snakemake.output.gas_input_nodes_simplified)