PyPSA
Clarify Capacity Factor Heatmaps
Feature Request
I believe our capacity factor heatmaps follow a different definition than the pypsa definition of capacity factor. We should probably sync with the pypsa nomenclature, and rename ours.
Suggested Solution
Rename our capacity factor to renewable potential timeseries.
Additional Info
Our definition takes p_max_pu to generate which is a renewable timeseries potential (ie. uses input parameters)
https://github.com/PyPSA/pypsa-usa/blob/f5a56fc7c94a5685eac85ee5ed55c8b05141c54e/workflow/scripts/plot_statistics.py#L837-L884
The pypsa definition in StatisticsAccessor takes actual generation and divides by optimal capacity (ie. uses result variables)
https://github.com/PyPSA/PyPSA/blob/467db67af6674c5daea2ff00c91fba9b8778e379/pypsa/statistics.py#L993-L1048
I guess for variable renewable capacity factors it wont matter too much, but for dispatchable it may. Since we are using it to plot hydro cf (which I know is locked to BE data right now), that could lead to different results.
To get per-component-bus-carrier results, use:
StatisticsAccessor(n).capacity_factor(aggregate_time=False, groupby=get_bus_and_carrier, comps=["Generator"])