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)