Closed toniseibold closed 4 months ago
@lisazeyen pointed out that transport_ice_efficiency: 16.0712 # 1 MWh_oil = 16.0712 * 100 km
is set for LDV. This assumes too high efficiency for heavy duty. We could try to adjust the efficiency according to HDV/LDV share
this would be another setting that we change in build_scenarios.py
The variable
Final Energy|Liquids
is ~360 PJ lower compared to Remind. This is mostly due to the discrepancy betweenFinal Energy|Liquids|Transportation|
and reality. The initial data in PyPSA-Eur (seepop_weighted_energy_totals_s_{nodes}.csv
) is correct. The subcategoriestotal road
andnon electricity rail
add up to 618TWh = 2224.8 PJ. Together with the subcategoriesdomestic aviation = 10.5 TWh
anddomestic navigation = 3.4TWh
this adds to 2274 PJ which is only 40 PJ shy of what Remind is exporting. The conversion steps to kilometers traveled and then to a oil load leads to a loss of 357 PJ in demand.Real values e.g. taken from DLR