Electricity - REMIND-MAgPIE

From IAMC-Documentation
Revision as of 15:23, 3 February 2017 by Laura Delsa (talk | contribs)
Jump to navigation Jump to search

Model Documentation - REMIND-MAgPIE

Corresponding documentation
Previous versions
Model information
Model link
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 <xr id="tab:REMIND_electricity_technologies"/>, with several low-carbon (CCS) and zero carbon options (nuclear and renewables).


Table 1. Energy Conversion Technologies for Electricity (Note: † indicates that technologies can be combined with CCS). <figtable id="tab:REMIND_electricity_technologies">

Energy Conversion Technologies for Electricity
Energy Carrier Technology
Primary exhaustible resource
Coal
  • Conventional coal power plant
  • Integrated coal gasification combined cycle†
  • Coal combined heat and power plant
Oil
  • Diesel oil turbine
Gas
  • Gas turbine
  • Natural gas combined cycle†
  • Gas combined heat and power plant
Uranium
  • Light water reactor
Primary renewable resource
Solar
  • Solar photovoltaic
  • Concentrating solar power
Wind
  • Wind turbine
Hydropower
  • Hydropower
Biomass
  • Integrated biomass gasification combined cycle†
  • Biomass combined heat and power plant
Geothermal
  • Hot dry rock
Secondary energy type
Hydrogen
  • Hydrogen turbine

</figtable>

<figure id="fig:REMINDtable_4"> 54067596.jpg </figure>

Table 2. Techno-economic characteristics of technologies based on exhaustible energy sources and biomass [1]; [2]; [3]; [4]; [5]; [6]; [7]; [8]; [9]; [10]; [11]; [12]; [13].

<figtable id="tab:REMINDtable_5"> Remind Table 5.PNG </figtable>

Abbreviations: PC - pulverized coal, IGCC - integrated coal gasification combined cycle, CHP - coal combined heat and power plant, C2H2 - coal to hydrogen, C2L - coal to liquids, C2G - coal gasification, NGT - natural gas turbine, NGCC - natural gas combined cycle, SMR - steam methane reforming, BIGCC – Biomass IGCC, BioCHP – biomass combined heat and power, B2H2 – biomass to hydrogen, B2L – biomass to liquids, B2G – biogas, TNR - thermo-nuclear reactor; * 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 [14].

The techno-economic parameters of power technologies used in the model are given in <xr id="tab:REMINDtable_5"/> for fuel-based technologies and <xr id="tab:REMINDtable_6"/> for non-biomass renewables. For wind, solar and hydro, capacity factors depend on grades, see Section Non-biomass renewables.

Table 3. 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).

<figtable id="tab:REMINDtable_6"> Remind Table 6.PNG </figtable>

  1. Iwasaki 2003
  2. Hamelinck 2004
  3. Bauer 2005
  4. Ansolabehere et al. 2007
  5. Gül et al. 2007
  6. Ragettli 2007
  7. Schulz 2007
  8. Uddin and Barreto 2007
  9. Rubin et al. 2007
  10. Takeshita and Yamaji 2008
  11. Brown et al. 2009
  12. Klimantos et al. 2009
  13. Chen and Rubin 2009
  14. Sullivan et al. (2013)