Merge pull request #88 from martavp/fix_YearCommissioned
Fix year commissioned
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commit
5a7f0c2c05
@ -69,7 +69,7 @@ biomass:
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year: 2030
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year: 2030
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scenario: "Med"
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scenario: "Med"
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classes:
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classes:
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solid biomass: ['Primary agricultural residues', 'Forestry energy residue', 'Secondary forestry residues', 'Secondary Forestry residues – sawdust', 'Forestry residues from landscape care biomass', 'Municipal waste']
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solid biomass: ['Primary agricultural residues', 'Forestry energy residue', 'Secondary forestry residues', 'Secondary Forestry residues sawdust', 'Forestry residues from landscape care biomass', 'Municipal waste']
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not included: ['Bioethanol sugar beet biomass', 'Rapeseeds for biodiesel', 'sunflower and soya for Biodiesel', 'Starchy crops biomass', 'Grassy crops biomass', 'Willow biomass', 'Poplar biomass potential', 'Roundwood fuelwood', 'Roundwood Chips & Pellets']
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not included: ['Bioethanol sugar beet biomass', 'Rapeseeds for biodiesel', 'sunflower and soya for Biodiesel', 'Starchy crops biomass', 'Grassy crops biomass', 'Willow biomass', 'Poplar biomass potential', 'Roundwood fuelwood', 'Roundwood Chips & Pellets']
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biogas: ['Manure biomass potential', 'Sludge biomass']
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biogas: ['Manure biomass potential', 'Sludge biomass']
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@ -125,7 +125,7 @@ def add_existing_renewables(df_agg):
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if capacity > 0.:
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if capacity > 0.:
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df_agg.at[name,"Fueltype"] = tech
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df_agg.at[name,"Fueltype"] = tech
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df_agg.at[name,"Capacity"] = capacity
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df_agg.at[name,"Capacity"] = capacity
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df_agg.at[name,"YearCommissioned"] = year
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df_agg.at[name,"DateIn"] = year
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df_agg.at[name,"cluster_bus"] = node
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df_agg.at[name,"cluster_bus"] = node
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def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, baseyear):
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def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, baseyear):
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@ -182,7 +182,7 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
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add_existing_renewables(df_agg)
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add_existing_renewables(df_agg)
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df_agg["grouping_year"] = np.take(grouping_years,
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df_agg["grouping_year"] = np.take(grouping_years,
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np.digitize(df_agg.YearCommissioned,
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np.digitize(df_agg.DateIn,
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grouping_years,
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grouping_years,
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right=True))
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right=True))
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@ -249,7 +249,7 @@ def add_heating_capacities_installed_before_baseyear(n, baseyear, grouping_years
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grouping_years : intervals to group existing capacities
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grouping_years : intervals to group existing capacities
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linear decomissioning of heating capacities from 2020 to 2045 is
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linear decommissioning of heating capacities from 2020 to 2045 is
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currently assumed
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currently assumed
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heating capacities split between residential and services proportional
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heating capacities split between residential and services proportional
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@ -408,18 +408,18 @@ if __name__ == "__main__":
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if 'snakemake' not in globals():
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if 'snakemake' not in globals():
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from vresutils.snakemake import MockSnakemake
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from vresutils.snakemake import MockSnakemake
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snakemake = MockSnakemake(
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snakemake = MockSnakemake(
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wildcards=dict(network='elec', simpl='', clusters='39', lv='1.0',
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wildcards=dict(network='elec', simpl='', clusters='45', lv='1.0',
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sector_opts='Co2L0-168H-T-H-B-I-solar3-dist1',
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sector_opts='Co2L0-3H-T-H-B-I-solar3-dist1',
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co2_budget_name='b30b3',
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planning_horizons='2020'),
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planning_horizons='2020'),
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input=dict(network='pypsa-eur-sec/results/test/prenetworks/{network}_s{simpl}_{clusters}_lv{lv}__{sector_opts}_{co2_budget_name}_{planning_horizons}.nc',
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input=dict(network='pypsa-eur-sec/results/version-2/prenetworks/{network}_s{simpl}_{clusters}_lv{lv}__{sector_opts}_{planning_horizons}.nc',
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powerplants='pypsa-eur/resources/powerplants.csv',
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powerplants='pypsa-eur/resources/powerplants.csv',
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busmap_s='pypsa-eur/resources/busmap_{network}_s{simpl}.csv',
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busmap_s='pypsa-eur/resources/busmap_{network}_s{simpl}.csv',
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busmap='pypsa-eur/resources/busmap_{network}_s{simpl}_{clusters}.csv',
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busmap='pypsa-eur/resources/busmap_{network}_s{simpl}_{clusters}.csv',
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costs='pypsa-eur-sec/data/costs/costs_{planning_horizons}.csv',
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costs='technology_data/outputs/costs_{planning_horizons}.csv',
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cop_air_total="pypsa-eur-sec/resources/cop_air_total_{network}_s{simpl}_{clusters}.nc",
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cop_air_total="pypsa-eur-sec/resources/cop_air_total_{network}_s{simpl}_{clusters}.nc",
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cop_soil_total="pypsa-eur-sec/resources/cop_soil_total_{network}_s{simpl}_{clusters}.nc"),
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cop_soil_total="pypsa-eur-sec/resources/cop_soil_total_{network}_s{simpl}_{clusters}.nc",
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output=['pypsa-eur-sec/results/test/prenetworks_brownfield/{network}_s{simpl}_{clusters}_lv{lv}__{sector_opts}_{planning_horizons}.nc'],
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clustered_pop_layout="pypsa-eur-sec/resources/pop_layout_{network}_s{simpl}_{clusters}.csv",),
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output=['pypsa-eur-sec/results/version-2/prenetworks_brownfield/{network}_s{simpl}_{clusters}_lv{lv}__{sector_opts}_{planning_horizons}.nc'],
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)
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)
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import yaml
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import yaml
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with open('config.yaml', encoding='utf8') as f:
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with open('config.yaml', encoding='utf8') as f:
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@ -1,3 +1,4 @@
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# coding: utf-8
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import pandas as pd
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import pandas as pd
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@ -57,7 +58,13 @@ if __name__ == "__main__":
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snakemake.input['jrc_potentials'] = "data/biomass/JRC Biomass Potentials.xlsx"
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snakemake.input['jrc_potentials'] = "data/biomass/JRC Biomass Potentials.xlsx"
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snakemake.output = Dict()
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snakemake.output = Dict()
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snakemake.output['biomass_potentials'] = 'data/biomass_potentials.csv'
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snakemake.output['biomass_potentials'] = 'data/biomass_potentials.csv'
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snakemake.output['biomass_potentials_all']='resources/biomass_potentials_all.csv'
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with open('config.yaml', encoding='utf8') as f:
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with open('config.yaml', encoding='utf8') as f:
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snakemake.config = yaml.safe_load(f)
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snakemake.config = yaml.safe_load(f)
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# This is a hack, to be replaced once snakemake is unicode-conform
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if 'Secondary Forestry residues sawdust' in snakemake.config['biomass']['classes']['solid biomass']:
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snakemake.config['biomass']['classes']['solid biomass'].remove('Secondary Forestry residues sawdust')
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snakemake.config['biomass']['classes']['solid biomass'].append('Secondary Forestry residues – sawdust')
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build_biomass_potentials()
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build_biomass_potentials()
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@ -272,6 +272,7 @@ def solve_network(n, config=None, solver_log=None, opts=None):
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solver_name=solver_name,
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solver_name=solver_name,
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solver_logfile=solver_log,
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solver_logfile=solver_log,
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solver_options=solver_options,
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solver_options=solver_options,
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solver_dir=tmpdir,
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extra_functionality=extra_functionality,
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extra_functionality=extra_functionality,
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formulation=solve_opts['formulation'])
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formulation=solve_opts['formulation'])
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#extra_postprocessing=extra_postprocessing
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#extra_postprocessing=extra_postprocessing
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