Increase Enduse Saturation with a Given Industry

The model tracks the ‘saturation’ of expected devices available of a given enduse in a combination of area, sector, and year for use in estimating changes in energy requirements. The value used is most cases is 1.0, meaning the enduse is fully used. The most common example of differences in saturations is air conditioning, where some areas with colder climates will have less air conditioning available on average compared to warmer areas. A default forecast for saturations can be included as part of the model input data. Policies can be developed to change this value to simulate expected impacts of different climate forecast.


In addition, this variable can also be used to project a change in number of devices on average for a given sector and enduse. One current policy modifies saturation to a value well above 1.0 to simulate increased concentration of computers and servers from data centers in commercial sectors when compared to historical data. In this case the saturation variable acts as a multiplier for base case demands for the specific sector and enduse.

  • Example:  Com_DataCenter.jl
  • Device Saturation (xDSt)
  • Device Saturation (DSt)