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adjust script to new grouping years

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lisazeyen 2022-08-01 15:24:07 +02:00
parent f10628930e
commit 18f4eac351
1 changed files with 59 additions and 39 deletions
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98
scripts/add_existing_baseyear.py
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@ -193,24 +193,33 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
for grouping_year, generator in df.index: for grouping_year, generator in df.index:
# capacity is the capacity in MW at each node for this # capacity is the capacity in MW at each node for this
capacity = df.loc[grouping_year, generator] capacity = df.loc[grouping_year, generator]
capacity = capacity[~capacity.isna()] capacity = capacity[~capacity.isna()]
capacity = capacity[capacity > snakemake.config['existing_capacities']['threshold_capacity']] capacity = capacity[capacity > snakemake.config['existing_capacities']['threshold_capacity']]
suffix = '-ac' if generator == 'offwind' else ''
name_suffix = f' {generator}{suffix}-{baseyear}'
asset_i = capacity.index + name_suffix
if generator in ['solar', 'onwind', 'offwind']: if generator in ['solar', 'onwind', 'offwind']:
suffix = '-ac' if generator == 'offwind' else ''
name_suffix = f' {generator}{suffix}-{baseyear}'
# to consider electricity grid connection costs or a split between # to consider electricity grid connection costs or a split between
# solar utility and rooftop as well, rather take cost assumptions # solar utility and rooftop as well, rather take cost assumptions
# from existing network than from the cost database # from existing network than from the cost database
capital_cost = n.generators.loc[n.generators.carrier==generator+suffix, "capital_cost"].mean() capital_cost = n.generators.loc[n.generators.carrier==generator+suffix, "capital_cost"].mean()
# check if assets are already in network (e.g. for 2020)
already_build = n.generators.index.intersection(asset_i)
new_build = asset_i.difference(n.generators.index)
# this is for the year 2020
if not already_build.empty:
n.generators.loc[already_build, "p_nom_min"] = capacity.loc[already_build.str.replace(name_suffix, "")].values
new_capacity = capacity.loc[new_build.str.replace(name_suffix, "")]
if 'm' in snakemake.wildcards.clusters: if 'm' in snakemake.wildcards.clusters:
for ind in capacity.index: for ind in new_capacity.index:
# existing capacities are split evenly among regions in every country # existing capacities are split evenly among regions in every country
inv_ind = [i for i in inv_busmap[ind]] inv_ind = [i for i in inv_busmap[ind]]
@ -225,7 +234,7 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
[i + name_suffix for i in inv_ind], [i + name_suffix for i in inv_ind],
bus=ind, bus=ind,
carrier=generator, carrier=generator,
p_nom=capacity[ind] / len(inv_ind), # split among regions in a country p_nom=new_capacity[ind] / len(inv_ind), # split among regions in a country
marginal_cost=costs.at[generator,'VOM'], marginal_cost=costs.at[generator,'VOM'],
capital_cost=capital_cost, capital_cost=capital_cost,
efficiency=costs.at[generator, 'efficiency'], efficiency=costs.at[generator, 'efficiency'],
@ -238,43 +247,54 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
p_max_pu = n.generators_t.p_max_pu[capacity.index + name_suffix] p_max_pu = n.generators_t.p_max_pu[capacity.index + name_suffix]
n.madd("Generator", if not new_build.empty:
capacity.index, n.madd("Generator",
suffix=' ' + generator +"-"+ str(grouping_year), new_capacity.index,
bus=capacity.index, suffix=' ' + generator + name_suffix,
carrier=generator, bus=new_capacity.index,
p_nom=capacity, carrier=generator,
marginal_cost=costs.at[generator, 'VOM'], p_nom=new_capacity,
capital_cost=capital_cost, marginal_cost=costs.at[generator, 'VOM'],
efficiency=costs.at[generator, 'efficiency'], capital_cost=capital_cost,
p_max_pu=p_max_pu.rename(columns=n.generators.bus), efficiency=costs.at[generator, 'efficiency'],
build_year=grouping_year, p_max_pu=p_max_pu.rename(columns=n.generators.bus),
lifetime=costs.at[generator, 'lifetime'] build_year=grouping_year,
) lifetime=costs.at[generator, 'lifetime']
)
else: else:
bus0 = vars(spatial)[carrier[generator]].nodes bus0 = vars(spatial)[carrier[generator]].nodes
if "EU" not in vars(spatial)[carrier[generator]].locations: if "EU" not in vars(spatial)[carrier[generator]].locations:
bus0 = bus0.intersection(capacity.index + " gas") bus0 = bus0.intersection(capacity.index + " gas")
n.madd("Link", already_build = n.links.index.intersection(asset_i)
capacity.index, new_build = asset_i.difference(n.links.index)
suffix= " " + generator +"-" + str(grouping_year),
bus0=bus0, # this is for the year 2020
bus1=capacity.index, if not already_build.empty:
bus2="co2 atmosphere", n.links.loc[already_build, "p_nom_min"] = capacity.loc[already_build.str.replace(name_suffix, "")].values
carrier=generator,
marginal_cost=costs.at[generator, 'efficiency'] * costs.at[generator, 'VOM'], #NB: VOM is per MWel if not new_build.empty:
capital_cost=costs.at[generator, 'efficiency'] * costs.at[generator, 'fixed'], #NB: fixed cost is per MWel new_capacity = capacity.loc[new_build.str.replace(name_suffix, "")]
p_nom=capacity / costs.at[generator, 'efficiency'],
efficiency=costs.at[generator, 'efficiency'], n.madd("Link",
efficiency2=costs.at[carrier[generator], 'CO2 intensity'], new_capacity.index,
build_year=grouping_year, suffix= name_suffix,
lifetime=costs.at[generator, 'lifetime'] bus0=bus0,
) bus1=new_capacity.index,
bus2="co2 atmosphere",
carrier=generator,
marginal_cost=costs.at[generator, 'efficiency'] * costs.at[generator, 'VOM'], #NB: VOM is per MWel
capital_cost=costs.at[generator, 'efficiency'] * costs.at[generator, 'fixed'], #NB: fixed cost is per MWel
p_nom=capacity / costs.at[generator, 'efficiency'],
efficiency=costs.at[generator, 'efficiency'],
efficiency2=costs.at[carrier[generator], 'CO2 intensity'],
build_year=grouping_year,
lifetime=costs.at[generator, 'lifetime']
)
def add_heating_capacities_installed_before_baseyear(n, baseyear, grouping_years, ashp_cop, gshp_cop, time_dep_hp_cop, costs, default_lifetime): def add_heating_capacities_installed_before_baseyear(n, baseyear, ashp_cop, gshp_cop, time_dep_hp_cop, costs, default_lifetime):
""" """
Parameters Parameters
---------- ----------
@ -294,7 +314,7 @@ def add_heating_capacities_installed_before_baseyear(n, baseyear, grouping_years
# https://ec.europa.eu/energy/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment_en?redir=1 # https://ec.europa.eu/energy/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment_en?redir=1
# file: "WP2_DataAnnex_1_BuildingTechs_ForPublication_201603.xls" -> "existing_heating_raw.csv". # file: "WP2_DataAnnex_1_BuildingTechs_ForPublication_201603.xls" -> "existing_heating_raw.csv".
# TODO start from original file # TODO start from original file
grouping_years = [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019]
# retrieve existing heating capacities # retrieve existing heating capacities
techs = [ techs = [
'gas boiler', 'gas boiler',
@ -454,10 +474,10 @@ if __name__ == "__main__":
snakemake = mock_snakemake( snakemake = mock_snakemake(
'add_existing_baseyear', 'add_existing_baseyear',
simpl='', simpl='',
clusters="37", clusters="45",
lv=1.0, lv=1.0,
opts='', opts='',
sector_opts='168H-T-H-B-I-solar+p3-dist1', sector_opts='cb40ex0-365H-T-H-B-I-A-solar+p3-dist1',
planning_horizons=2020, planning_horizons=2020,
) )
@ -493,6 +513,6 @@ if __name__ == "__main__":
ashp_cop = xr.open_dataarray(snakemake.input.cop_air_total).to_pandas().reindex(index=n.snapshots) ashp_cop = xr.open_dataarray(snakemake.input.cop_air_total).to_pandas().reindex(index=n.snapshots)
gshp_cop = xr.open_dataarray(snakemake.input.cop_soil_total).to_pandas().reindex(index=n.snapshots) gshp_cop = xr.open_dataarray(snakemake.input.cop_soil_total).to_pandas().reindex(index=n.snapshots)
default_lifetime = snakemake.config['costs']['lifetime'] 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) add_heating_capacities_installed_before_baseyear(n, baseyear, ashp_cop, gshp_cop, time_dep_hp_cop, costs, default_lifetime)
n.export_to_netcdf(snakemake.output[0]) n.export_to_netcdf(snakemake.output[0])