TY - JOUR
T1 - Looking Under the Hood: A Comparison of Techno-Economic Assumptions Across National and Global Integrated Assessment Models
AU - Muratori, Matteo
AU - Krey, Volker
AU - Guo, Fei
AU - Kolp, Peter
AU - Zhou, Wenji
AU - Schaeffer, Roberto
AU - Awasthy, Aayushi
AU - Bertram, Christoph
AU - Boer, Harmen-Sytze
AU - Fragkos, Panagiotis
AU - Fujimori, Shinichiro
AU - He, Chenmin
AU - Iyer, Gokul
AU - Keramidas, Kimon
AU - Koberle, Alexandre
AU - Oshiro, Ken
AU - Reis, Lara
AU - Shoai-Tehrani, Bianka
AU - Vishwanathan, Saritha
AU - Capros, Pantelis
AU - Drouet, Laurent
AU - Edmonds, James
AU - Garg, Amit
AU - Gernaat, David
AU - Jiang, Kejun
AU - Kannavou, Maria
AU - Kitous, Alban
AU - Kriegler, Elmar
AU - Luderer, Gunnar
AU - Mathur, Ritu
AU - Sano, Fuminori
AU - van Vuuren, Detlef
N1 - Publisher Copyright:
© 2019 The Authors
PY - 2019/4/1
Y1 - 2019/4/1
N2 - Integrated assessment models are extensively used in the analysis of climate change mitigation and are informing national decision makers as well as contribute to international scientific assessments. This paper conducts a comprehensive review of techno-economic assumptions in the electricity sector among fifteen different global and national integrated assessment models. Particular focus is given to six major economies in the world: Brazil, China, the EU, India, Japan and the US. The comparison reveals that techno-economic characteristics are quite different across integrated assessment models, both for the base year and future years. It is, however, important to recognize that techno-economic assessments from the literature exhibit an equally large range of parameters as the integrated assessment models reviewed. Beyond numerical differences, the representation of technologies also differs among models, which needs to be taken into account when comparing numerical parameters. While desirable, it seems difficult to fully harmonize techno-economic parameters across a broader range of models due to structural differences in the representation of technology. Therefore, making techno-economic parameters available in the future, together with of the technology representation as well as the exact definitions of the parameters should become the standard approach as it allows an open discussion of appropriate assumptions.
AB - Integrated assessment models are extensively used in the analysis of climate change mitigation and are informing national decision makers as well as contribute to international scientific assessments. This paper conducts a comprehensive review of techno-economic assumptions in the electricity sector among fifteen different global and national integrated assessment models. Particular focus is given to six major economies in the world: Brazil, China, the EU, India, Japan and the US. The comparison reveals that techno-economic characteristics are quite different across integrated assessment models, both for the base year and future years. It is, however, important to recognize that techno-economic assessments from the literature exhibit an equally large range of parameters as the integrated assessment models reviewed. Beyond numerical differences, the representation of technologies also differs among models, which needs to be taken into account when comparing numerical parameters. While desirable, it seems difficult to fully harmonize techno-economic parameters across a broader range of models due to structural differences in the representation of technology. Therefore, making techno-economic parameters available in the future, together with of the technology representation as well as the exact definitions of the parameters should become the standard approach as it allows an open discussion of appropriate assumptions.
KW - Capital and O&M costs
KW - Conversion efficiency
KW - Integrated assessment models
KW - Levelised cost of energy
KW - Lifetime
KW - Techno-economic assumptions
UR - http://www.scopus.com/inward/record.url?scp=85062412475&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2018.12.131
DO - 10.1016/j.energy.2018.12.131
M3 - Article
AN - SCOPUS:85062412475
SN - 0360-5442
VL - 172
SP - 1254
EP - 1267
JO - Energy
JF - Energy
ER -