Use scalars_base.csv as input for prepare_re_potential.py

[SabineHaas]

address #159

[MaGering]

I don't know if this is already planned / intended here, but this would ensure that the correct scalars are selected via wildcards:

Suggested change

	assumptions="raw/scalars_base.csv",
	script="scripts/prepare_re_potential.py"
	output:
	directory("results/_resources/RE_potential/")
	assumptions="raw/scalars_{range}.csv",
	script="scripts/prepare_re_potential.py"
	output:
	directory("results/_resources/{range}/RE_potential/")
	wildcard_constraints:
	range=("base|high|low")

However, if we were to build on our current scalars structure, then the wildcards would have to be extended by the specification of a year and hence adjusted to:

Suggested change

	assumptions="raw/scalars_base.csv",
	script="scripts/prepare_re_potential.py"
	output:
	directory("results/_resources/RE_potential/")
	assumptions="raw/scalars_{range}_{year}.csv",
	script="scripts/prepare_re_potential.py"
	output:
	directory("results/_resources/{range}_{year}/RE_potential/")
	wildcard_constraints:
	range=("base|high|low"),
	year=("2040|2050")

Just a thought without any particular change request.

[SabineHaas]

Thank you @MaGering!
The thing is, that using the different csvs does not have any effect on the input data to the simulations, as the renewable potential is not copied to _resources/scal_base.csv.
I would add the potential automatically in prepare_scalars.py using results/_resources/scal_power_potential_wind_pv.csv as input. Do you agree @jnnr?

[SabineHaas]

@MaGering I will include that, giving you credit, in #176 after the release. thanks again!