Closed tniet closed 1 week ago
@tniet has this been included? I see variable costs for a number of technologies e.g. MINCOAIND which I assumes represents fuel costs for COA in IND? But what about other technologies like URN and BIO?
@tniet Was this ever included/updated?
@maartenbrinkerink I do believe this is in the variablecosts.py script (just did a quick read through). I don't see the commit where it's addressing these specific pieces on that file, though - I think the full history has gotten lost somehow.
The script uses the World Bank Commodity Market Outlooks to provide variable costs for fuels, which is what was originally the issue here, so that's solved.
A few questions/notes:
@trevorb1 I merged the var costs PR into master but that might have been a bit presumptuous as I forgot to check the first point that @tniet raised regarding the international markets. They way it is setup now;
-Takes the fuel_prices.csv
as basis.
-If INT
fuel prices are not determined within fuel_prices.csv
the INT
fuel prices are extracted and calculated based on CMO.
-Constant fuel prices are added to the constants file (for nuclear, biomass, waste).
-International fuel price multiplier added to the constants file.
-If country level fuel prices are not determined in fuel_prices.csv
the INT
fuel prices are used as benchmark for the country level prices.
When you have time, could you have a look at the first point that Taco mentioned and see if we need to make changes to the way INT
and MIN
costs are applied?
Add variable costs for the model in a new jupyter notebook. Base costs on World Bank Commodity Outlook.
Fuel production technology names will need to come from the powerplant_data notebook or from the output.csv.
Include small variable cost for international trading hubs for the commodities.