Declared processes that cannot operate — process

Lists the processes of an interpolated scenario that cannot operate in a region and year, and why. Only what follows directly from the model data is reported: an input commodity with no source in the region, no capacity in a year (no stock left and no investment window), or a bound or one-term user constraint that fixes the capacity, availability or activity at zero. Limits that act through the solution, such as an emission cap or a tax, are not covered.

Usage

process_operability(object)

Arguments

object: an interpolated scenario (solved or not).

Value

a data frame with columns process, class, region, years (comma-separated milestone years, or "all"), kind ("structural" or "bound"), reason and detail; zero rows when every process can operate.

Examples

cal <- newCalendar(
  timetable = make_timetable(struct = list(ANNUAL = "ANNUAL")),
  name = "annual")
mod <- newModel(
  name = "op", region = "R1", horizon = newHorizon(2025), discount = 0,
  calendar = cal,
  repo = newRepository("r",
    newCommodity("ELC"),
    newSupply("SUP", commodity = "ELC", supply = data.frame(cost = 1)),
    newTechnology("T", input = list(comm = "ELC"),
                  output = list(comm = "ELC"), cap2act = 1,
                  capacity = data.frame(stock = 1, cap.up = 0)),
    newDemand("D", commodity = "ELC", demand = data.frame(demand = 1))))
scen <- interpolate_model(mod, name = "op_example")
#> Warning: non-unique value when setting 'row.names': 'ELC'
#> Error in `.rowNamesDF<-`(x, value = value): duplicate 'row.names' are not allowed
process_operability(scen)
#> Error: object 'scen' not found