pypsa.Network.investment_period_weightings

property Network.investment_period_weightings: DataFrame

Weightings applied to each investment period during the optimization (LOPF).

Objective weightings are multiplied with all cost coefficients in the objective function of the respective investment period (e.g. to include a social discount rate). Years weightings denote the elapsed time until the subsequent investment period (e.g. used for global constraints CO2 emissions).

Examples

Create a network with investment periods: >>> n = pypsa.Network() >>> n.add(“Bus”, “bus”) # doctest: +SKIP >>> n.snapshots = pd.date_range(“2015-01-01”, freq=”h”, periods=2) >>> n.investment_periods = [1, 2]

>>> n.investment_period_weightings
        objective  years
period
1             1.0    1.0
2             1.0    1.0

Change the investment period weightings: >>> n.investment_period_weightings.objective = [5, 7] >>> n.investment_period_weightings.years = [1, 2] >>> n.investment_period_weightings

objective years

period 1 5 1 2 7 2