EDGE-Industry: EDGE-Industry

In pik-piam/mrremind: MadRat REMIND Input Data Package

EDGE-Industry

Description

Functions for calculating industry activity trajectories.

Usage

calcSteel_Projections(
  subtype = "production",
  match.steel.historic.values = TRUE,
  match.steel.estimates = "none",
  save.plots = NULL,
  China_Production = NULL
)

calcIndustry_Value_Added(
  subtype = "physical",
  match.steel.historic.values = TRUE,
  match.steel.estimates = "none",
  save.plots = NULL,
  China_Production = NULL
)

Arguments

subtype	One of production Returns trajectories of primary and secondary steel production (calcSteel_Projections()). secondary.steel.max.share Returns the maximum share of secondary steel in total steel production (calcSteel_Projections()). physical Returns physical production trajectories for cement (calcIndustry_Value_Added()). economic Returns value added trajectories for all subsectors (calcIndustry_Value_Added()).
match.steel.historic.values	Should steel production trajectories match historic values?
match.steel.estimates	Should steel production trajectories match exogenous estimates? NULL or one of IEA_ETP IEA 2017 Energy Transition Pathways steel production totals for OECD and Non-OECD countries from the Reference Technologies Scenario until 2060, and original growth rates after that.
save.plots	NULL (default) if no plots are saved, or the path to save directories to.
China_Production	A data frame with columns period and total.production prescribing total production for China to have, disregarding results from the stock saturation model.

Value

A list with a magpie object x, weight, unit, description, min, and max.

Author(s)

Michaja Pehl

See Also

calcOutput()

pik-piam/mrremind documentation built on May 1, 2024, 2:12 a.m.