Regional data

MUSE requires the definition of the methodology used for investment and dispatch and alias demand matching. The methodology has to be defined by region and subregion, meant as a geographical subdivision in a region. Currently, the methodology definition is important for the legacy sectors only, and can therefore be ignored for the open source version of MUSE.

Below the generic structure of the input commodity file for the electric heater is shown:

Methodology used in investment and demand matching

SectorName	RegionName	Subregion	sMethodologyPlanning	sMethodologyDispatch
Agriculture	region1	region1	NPV	DCF
Bioenergy	region1	region1	NPV	DCF
Industry	region1	region1	NPV	DCF
Residential	region1	region1	EAC	EAC
Commercial	region1	region1	EAC	EAC
Transport	region1	region1	LCOE	LCOE
Power	region1	region1	LCOE	LCOE
Refinery	region1	region1	LCOE	LCOE
Supply	region1	region1	LCOE	LCOE

SectorName

represents the sector_ID and needs to be consistent across the data input files

RegionName

represents the region ID and needs to be consistent across all the data inputs

Subregion

represents the subregion ID and needs to be consistent across all the data inputs

sMethodologyPlanning

reports the cost quantity used for making investments in new technologies in each sector (e.g. NPV stands for net present value, EAC stands for equivalent annual costs, LCOE stands for levelised cost of energy)

sMethodologyDispatch

reports the cost quantity used for the demand matching using existing technologies in each sector (e.g. DCF stands for discounted cash flow, EAC stands for equivalent annual cost, LCOE stands for levelised cost of energy)