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Merge pull request #267 from PyPSA/split_planning_horizons_into_investmentyear_and_costyear

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Split planning horizons into investmentyear and costyear
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Fabian Neumann 2022-09-14 21:30:02 +02:00 committed by GitHub
commit 413254e241
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2 changed files with 61 additions and 60 deletions
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6
Snakefile
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@ -474,7 +474,7 @@ rule prepare_sector_network:
co2="data/eea/UNFCCC_v23.csv",
biomass_potentials='resources/biomass_potentials_s{simpl}_{clusters}.csv',
heat_profile="data/heat_load_profile_BDEW.csv",
costs=CDIR + "costs_{planning_horizons}.csv",
costs=CDIR + "costs_{}.csv".format(config['costs']['year']) if config["foresight"] == "overnight" else CDIR + "costs_{planning_horizons}.csv",
profile_offwind_ac=pypsaeur("resources/profile_offwind-ac.nc"),
profile_offwind_dc=pypsaeur("resources/profile_offwind-dc.nc"),
h2_cavern="resources/salt_cavern_potentials_s{simpl}_{clusters}.csv",
@ -539,7 +539,7 @@ rule make_summary:
RDIR + "/postnetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc",
**config['scenario']
),
costs=CDIR + "costs_{}.csv".format(config['scenario']['planning_horizons'][0]),
costs=CDIR + "costs_{}.csv".format(config['costs']['year']) if config["foresight"] == "overnight" else CDIR + "costs_{}.csv".format(config['scenario']['planning_horizons'][0]),
plots=expand(
RDIR + "/maps/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}-costs-all_{planning_horizons}.pdf",
**config['scenario']
@ -589,7 +589,7 @@ if config["foresight"] == "overnight":
input:
overrides="data/override_component_attrs",
network=RDIR + "/prenetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc",
costs=CDIR + "costs_{planning_horizons}.csv",
costs=CDIR + "costs_{}.csv".format(config['costs']['year']),
config=SDIR + '/configs/config.yaml'
output: RDIR + "/postnetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc"
shadow: "shallow"

115
config.default.yaml
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@ -40,8 +40,8 @@ scenario:
# planning_horizons), be:beta decay; ex:exponential decay
# cb40ex0 distributes a carbon budget of 40 GtCO2 following an exponential
# decay with initial growth rate 0
planning_horizons: # investment years for myopic and perfect; or costs year for overnight
- 2030
planning_horizons: # investment years for myopic and perfect; for overnight, year of cost assumptions can be different and is defined under 'costs'
- 2050
# for example, set to
# - 2020
# - 2030
@ -154,11 +154,11 @@ sector:
potential: 0.6 # maximum fraction of urban demand which can be supplied by district heating
# increase of today's district heating demand to potential maximum district heating share
# progress = 0 means today's district heating share, progress = 1 means maximum fraction of urban demand is supplied by district heating
progress: 1
# 2020: 0.0
# 2030: 0.3
# 2040: 0.6
# 2050: 1.0
progress:
2020: 0.0
2030: 0.3
2040: 0.6
2050: 1.0
district_heating_loss: 0.15
bev_dsm_restriction_value: 0.75 #Set to 0 for no restriction on BEV DSM
bev_dsm_restriction_time: 7 #Time at which SOC of BEV has to be dsm_restriction_value
@ -178,16 +178,16 @@ sector:
bev_avail_mean: 0.8
v2g: true #allows feed-in to grid from EV battery
#what is not EV or FCEV is oil-fuelled ICE
land_transport_fuel_cell_share: 0.15 # 1 means all FCEVs
# 2020: 0
# 2030: 0.05
# 2040: 0.1
# 2050: 0.15
land_transport_electric_share: 0.85 # 1 means all EVs
# 2020: 0
# 2030: 0.25
# 2040: 0.6
# 2050: 0.85
land_transport_fuel_cell_share: # 1 means all FCEVs
2020: 0
2030: 0.05
2040: 0.1
2050: 0.15
land_transport_electric_share: # 1 means all EVs
2020: 0
2030: 0.25
2040: 0.6
2050: 0.85
transport_fuel_cell_efficiency: 0.5
transport_internal_combustion_efficiency: 0.3
agriculture_machinery_electric_share: 0
@ -195,29 +195,29 @@ sector:
agriculture_machinery_electric_efficiency: 0.3 # electricity per use
shipping_average_efficiency: 0.4 #For conversion of fuel oil to propulsion in 2011
shipping_hydrogen_liquefaction: false # whether to consider liquefaction costs for shipping H2 demands
shipping_hydrogen_share: 1 # 1 means all hydrogen FC
# 2020: 0
# 2025: 0
# 2030: 0.05
# 2035: 0.15
# 2040: 0.3
# 2045: 0.6
# 2050: 1
shipping_hydrogen_share: # 1 means all hydrogen FC
2020: 0
2025: 0
2030: 0.05
2035: 0.15
2040: 0.3
2045: 0.6
2050: 1
time_dep_hp_cop: true #time dependent heat pump coefficient of performance
heat_pump_sink_T: 55. # Celsius, based on DTU / large area radiators; used in build_cop_profiles.py
# conservatively high to cover hot water and space heating in poorly-insulated buildings
reduce_space_heat_exogenously: true # reduces space heat demand by a given factor (applied before losses in DH)
# this can represent e.g. building renovation, building demolition, or if
# the factor is negative: increasing floor area, increased thermal comfort, population growth
reduce_space_heat_exogenously_factor: 0.29 # per unit reduction in space heat demand
reduce_space_heat_exogenously_factor: # per unit reduction in space heat demand
# the default factors are determined by the LTS scenario from http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221
# 2020: 0.10 # this results in a space heat demand reduction of 10%
# 2025: 0.09 # first heat demand increases compared to 2020 because of larger floor area per capita
# 2030: 0.09
# 2035: 0.11
# 2040: 0.16
# 2045: 0.21
# 2050: 0.29
2020: 0.10 # this results in a space heat demand reduction of 10%
2025: 0.09 # first heat demand increases compared to 2020 because of larger floor area per capita
2030: 0.09
2035: 0.11
2040: 0.16
2045: 0.21
2050: 0.29
retrofitting : # co-optimises building renovation to reduce space heat demand
retro_endogen: false # co-optimise space heat savings
cost_factor: 1.0 # weight costs for building renovation
@ -276,32 +276,32 @@ sector:
industry:
St_primary_fraction: 0.3 # fraction of steel produced via primary route versus secondary route (scrap+EAF); today fraction is 0.6
# 2020: 0.6
# 2025: 0.55
# 2030: 0.5
# 2035: 0.45
# 2040: 0.4
# 2045: 0.35
# 2050: 0.3
DRI_fraction: 1 # fraction of the primary route converted to DRI + EAF
# 2020: 0
# 2025: 0
# 2030: 0.05
# 2035: 0.2
# 2040: 0.4
# 2045: 0.7
# 2050: 1
St_primary_fraction: # fraction of steel produced via primary route versus secondary route (scrap+EAF); today fraction is 0.6
2020: 0.6
2025: 0.55
2030: 0.5
2035: 0.45
2040: 0.4
2045: 0.35
2050: 0.3
DRI_fraction: # fraction of the primary route converted to DRI + EAF
2020: 0
2025: 0
2030: 0.05
2035: 0.2
2040: 0.4
2045: 0.7
2050: 1
H2_DRI: 1.7 #H2 consumption in Direct Reduced Iron (DRI), MWh_H2,LHV/ton_Steel from 51kgH2/tSt in Vogl et al (2018) doi:10.1016/j.jclepro.2018.08.279
elec_DRI: 0.322 #electricity consumption in Direct Reduced Iron (DRI) shaft, MWh/tSt HYBRIT brochure https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf
Al_primary_fraction: 0.2 # fraction of aluminium produced via the primary route versus scrap; today fraction is 0.4
# 2020: 0.4
# 2025: 0.375
# 2030: 0.35
# 2035: 0.325
# 2040: 0.3
# 2045: 0.25
# 2050: 0.2
Al_primary_fraction: # fraction of aluminium produced via the primary route versus scrap; today fraction is 0.4
2020: 0.4
2025: 0.375
2030: 0.35
2035: 0.325
2040: 0.3
2045: 0.25
2050: 0.2
MWh_CH4_per_tNH3_SMR: 10.8 # 2012's demand from https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf
MWh_elec_per_tNH3_SMR: 0.7 # same source, assuming 94-6% split methane-elec of total energy demand 11.5 MWh/tNH3
MWh_H2_per_tNH3_electrolysis: 6.5 # from https://doi.org/10.1016/j.joule.2018.04.017, around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy)
@ -327,6 +327,7 @@ industry:
# Material Economics (2019): https://materialeconomics.com/latest-updates/industrial-transformation-2050
costs:
year: 2030
lifetime: 25 #default lifetime
# From a Lion Hirth paper, also reflects average of Noothout et al 2016
discountrate: 0.07