Electricity - REMIND-MAgPIE

Model Documentation - REMIND-MAgPIE
Model scope and methods - REMIND-MAgPIE XML-test Model concept, solver and details Model concept, solver and details - REMIND-MAgPIE Temporal dimension - REMIND-MAgPIE Spatial dimension - REMIND-MAgPIE Policy - REMIND-MAgPIE Socio-economic drivers - REMIND-MAgPIE Population - REMIND-MAgPIE Economic activity - REMIND-MAgPIE Macro-economy - REMIND-MAgPIE Production system and representation of economic sectors - REMIND-MAgPIE Trade - REMIND-MAgPIE Energy - REMIND-MAgPIE Energy resource endowments - REMIND-MAgPIE Fossil energy resources - REMIND-MAgPIE Uranium and other fissile resources - REMIND-MAgPIE Bioenergy - REMIND-MAgPIE Non-biomass renewables - REMIND-MAgPIE Energy conversion - REMIND-MAgPIE Electricity - REMIND-MAgPIE Heat - REMIND-MAgPIE Grid, pipelines and other infrastructure - REMIND-MAgPIE Energy end-use - REMIND-MAgPIE Transport - REMIND-MAgPIE Residential and commercial sectors - REMIND-MAgPIE Industrial sector - REMIND-MAgPIE Energy demand - REMIND-MAgPIE Technological change in energy - REMIND-MAgPIE Land-use - REMIND-MAgPIE Agriculture - REMIND-MAgPIE Forestry - REMIND-MAgPIE Emissions - REMIND-MAgPIE GHGs - REMIND-MAgPIE Pollutants and non-GHG forcing agents - REMIND-MAgPIE Climate - REMIND-MAgPIE Non-climate sustainability dimension - REMIND-MAgPIE Appendices - REMIND-MAgPIE Mathematical model description - REMIND-MAgPIE References - REMIND-MAgPIE
Corresponding documentation
AIM-Hub BLUES C3IAM COFFEE-TEA DNE21+ GCAM GEM-E3 GRACE IFs IMACLIM IMAGE MESSAGE-GLOBIOM POLES PROMETHEUS REMIND-MAgPIE TIAM-UCL WITCH
Previous versions
Archive of REMIND-MAgPIE version 1.7
Model information
Model link	https://www.pik-potsdam.de/research/sustainable-solutions/models/remind https://rse.pik-potsdam.de/doc/remind/2.1.3 https://github.com/remindmodel/remind/releases/tag/v2.1.3 https://github.com/magpiemodel/magpie/releases/tag/v4.2.1 https://rse.pik-potsdam.de/doc/magpie/4.2.1/
Institution	Potsdam Institut für Klimafolgenforschung (PIK), Germany, https://www.pik-potsdam.de.
Solution concept	General equilibrium (closed economy)MAgPIE: partial equilibrium model of the agricultural sector;
Solution method	OptimizationMAgPIE: cost minimization;
Anticipation

Around twenty electricity generation technologies are represented in REMIND, see Table 4, with several low-carbon (CCS) and zero carbon options (nuclear and renewables).

Table 4. Energy Conversion Technologies for Electricity (Note: * indicates that technologies can be combined with CCS).

Table 5. Techno-economic characteristics of technologies based on exhaustible energy sources and biomass (Iwasaki 2003; Hamelinck 2004; Bauer 2005; Ansolabehere et al. 2007; Gül et al. 2007; Ragettli 2007; Schulz 2007; Uddin and Barreto 2007; Rubin et al. 2007; Takeshita and Yamaji 2008; Brown et al. 2009; Klimantos et al. 2009; Chen and Rubin 2009).

For abbreviations see Table Acronyms and Abbreviations ; * for joint production processes; ^§ nuclear reactors with thermal efficiency of 33%; ^# technologies with exogenously improving efficiencies. 2005 values are represented by the lower end of the range. Long-term efficiencies (reached after 2045) are represented by high-end ranges.

For variable renewable energies, we implemented two parameterized cost markup functions for storage and long-distance transmission grids - see Section Grid and Infrastructure. To represent the general need for flexibility even in a thermal power system, we included a further flexibility constraint based on Sullivan et al. (2013).

The techno-economic parameters of power technologies used in the model are given in Table 5 for fuel-based technologies and Table 6 for non-biomass renewables. For wind, solar and hydro, capacity factors depend on grades, see Section Non-biomass renewables.

Table 6. Techno-economic characteristics of technologies based on non-biomass renewable energy sources (Neij et al. 2003; Nitsch et al. 2004; IEA 2007a; Junginger et al. 2008; Pietzcker et al. 2014).