run: test-myopic # use this to keep track of runs with different settings foresight: myopic # options are overnight, myopic, perfect (perfect is not yet implemented) scenario: lv: # allowed transmission line volume expansion, can be any float >= 1.0 (today) or "opt" - 1.5 clusters: # number of nodes in Europe, any integer between 37 (1 node per country-zone) and several hundred - 5 sector_opts: # this is where the main scenario settings are - 191H-T-H-B-I-A-solar+p3-dist1 planning_horizons: # investment years for myopic and perfect; or costs year for overnight - 2030 - 2040 - 2050 snapshots: # arguments to pd.date_range start: "2013-03-01" end: "2013-04-01" closed: left # end is not inclusive atlite: cutout: ../pypsa-eur/cutouts/be-03-2013-era5.nc existing_capacities: grouping_years: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019] sector: land_transport_fuel_cell_share: 2020: 0 2030: 0.05 2040: 0.1 2050: 0.15 land_transport_electric_share: 2020: 0 2030: 0.25 2040: 0.6 2050: 0.85 shipping_hydrogen_share: 2020: 0 2025: 0 2030: 0.05 2035: 0.15 2040: 0.3 2045: 0.6 2050: 1 reduce_space_heat_exogenously_factor: 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 co2_vent: true industry: 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 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 solving: solver: name: cbc options: [] mem: 4000 #memory in MB; 20 GB enough for 50+B+I+H2; 100 GB for 181+B+I+H2