Merge branch 'master' into btl

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lisazeyen 2022-08-04 16:13:09 +02:00 committed by GitHub
commit 8c62fb1b56
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6 changed files with 46 additions and 5 deletions

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@ -263,7 +263,9 @@ sector:
biomass_transport: false # biomass transport between nodes
conventional_generation: # generator : carrier
OCGT: gas
biomass_to_liquid: true
biomass_to_liquid: false
biosng: false
industry:
@ -510,6 +512,7 @@ plotting:
solid biomass for industry co2 from atmosphere: '#736412'
solid biomass for industry co2 to stored: '#47411c'
biomass to liquid: '#32CD32'
BioSNG: '#123456'
# power transmission
lines: '#6c9459'
transmission lines: '#6c9459'

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@ -139,4 +139,5 @@ if __name__ == "__main__":
add_brownfield(n, n_p, year)
n.meta = dict(snakemake.config, **dict(wildcards=dict(snakemake.wildcards)))
n.export_to_netcdf(snakemake.output[0])

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@ -495,4 +495,5 @@ if __name__ == "__main__":
default_lifetime = snakemake.config['costs']['lifetime']
add_heating_capacities_installed_before_baseyear(n, baseyear, grouping_years, ashp_cop, gshp_cop, time_dep_hp_cop, costs, default_lifetime)
n.meta = dict(snakemake.config, **dict(wildcards=dict(snakemake.wildcards)))
n.export_to_netcdf(snakemake.output[0])

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@ -307,7 +307,6 @@ def plot_h2_map(network):
)
n.plot(
geomap=False,
bus_sizes=0,
link_colors='#72d3d6',
link_widths=link_widths_retro,
@ -441,7 +440,6 @@ def plot_ch4_map(network):
)
n.plot(
geomap=False,
ax=ax,
bus_sizes=0.,
link_colors='#e8d1d1',
@ -451,7 +449,6 @@ def plot_ch4_map(network):
)
n.plot(
geomap=False,
ax=ax,
bus_sizes=0.,
link_colors=link_color_used,

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@ -1860,6 +1860,7 @@ def add_biomass(n, costs):
lifetime=costs.at[key, 'lifetime']
)
#Solid biomass to liquid fuel
if options["biomass_to_liquid"]:
n.madd("Link",
@ -1894,6 +1895,42 @@ def add_biomass(n, costs):
capital_cost=costs.at['BtL', 'fixed'] + costs.at['biomass CHP capture', 'fixed'] * costs.at[
"BtL", "CO2 stored"],
marginal_cost=costs.at['BtL', 'efficiency'] * costs.loc["BtL", "VOM"]
#BioSNG from solid biomass
if options["biosng"]:
n.madd("Link",
spatial.biomass.nodes,
suffix=" solid biomass to gas",
bus0=spatial.biomass.nodes,
bus1=spatial.gas.nodes,
bus3="co2 atmosphere",
carrier="BioSNG",
lifetime=costs.at['BioSNG', 'lifetime'],
efficiency=costs.at['BioSNG', 'efficiency'],
efficiency3=-costs.at['solid biomass', 'CO2 intensity'] + costs.at['BioSNG', 'CO2 stored'],
p_nom_extendable=True,
capital_cost=costs.at['BioSNG', 'fixed'],
marginal_cost=costs.at['BioSNG', 'efficiency']*costs.loc["BioSNG", "VOM"]
)
#TODO: Update with energy penalty for CC
n.madd("Link",
spatial.biomass.nodes,
suffix=" solid biomass to gas CC",
bus0=spatial.biomass.nodes,
bus1=spatial.gas.nodes,
bus2=spatial.co2.nodes,
bus3="co2 atmosphere",
carrier="BioSNG",
lifetime=costs.at['BioSNG', 'lifetime'],
efficiency=costs.at['BioSNG', 'efficiency'],
efficiency2=costs.at['BioSNG', 'CO2 stored'] * costs.at['BioSNG', 'capture rate'],
efficiency3=-costs.at['solid biomass', 'CO2 intensity'] + costs.at['BioSNG', 'CO2 stored'] * (1 - costs.at['BioSNG', 'capture rate']),
p_nom_extendable=True,
capital_cost=costs.at['BioSNG', 'fixed'] + costs.at['biomass CHP capture', 'fixed'] * costs.at[
"BioSNG", "CO2 stored"],
marginal_cost=costs.at['BioSNG', 'efficiency']*costs.loc["BioSNG", "VOM"]
)
@ -2503,4 +2540,5 @@ if __name__ == "__main__":
if options['electricity_grid_connection']:
add_electricity_grid_connection(n, costs)
n.meta = dict(snakemake.config, **dict(wildcards=dict(snakemake.wildcards)))
n.export_to_netcdf(snakemake.output[0])

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@ -296,7 +296,7 @@ if __name__ == "__main__":
if tmpdir is not None:
from pathlib import Path
Path(tmpdir).mkdir(parents=True, exist_ok=True)
opts = snakemake.wildcards.opts.split('-')
opts = snakemake.wildcards.sector_opts.split('-')
solve_opts = snakemake.config['solving']['options']
fn = getattr(snakemake.log, 'memory', None)
@ -315,6 +315,7 @@ if __name__ == "__main__":
n.line_volume_limit = n.global_constraints.at["lv_limit", "constant"]
n.line_volume_limit_dual = n.global_constraints.at["lv_limit", "mu"]
n.meta = dict(snakemake.config, **dict(wildcards=dict(snakemake.wildcards)))
n.export_to_netcdf(snakemake.output[0])
logger.info("Maximum memory usage: {}".format(mem.mem_usage))