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Modelling the renewable transition: Scenarios and pathways for a decarbonized future using pymedeas, a new open-source energy systems model

AuthorsSolé, Jordi ; Samsó, Roger; García-Ladona, Emilio ; García-Olivares, Antonio ; Ballabrera-Poy, Joaquim ; Madurell, Teresa ; Turiel, Antonio ; Osychenko, Oleg ; Álvarez, D.; Bardi, Ugo; Baumann, M.; Buchmann, Katrin; Capellán-Pérez, Iñigo ; Cerný, Martin; Carpintero, Oscar; Blas, Ignacio de; de Castro, Carlos; Lathouwer, J.-D. de; Duce, C.; Eggler, L.; Enríquez, J.M.; Falsini, Sara; Feng, K.; Ferreras, N.; Frechoso, Fernando; Hubacek, K.; Jones, Aled; Kaclíková, R.; Kerschner, Christian; Kimmich, C.; Lobejón, Luis Fernando; Lomas, Pedro L.; Martellotti, Gianluca; Mediavilla, Marga; Miguel, Luis Javier; Natalini, Davide; Nieto, Jaime; Nikolaev, A.; Parrado, G.; Papagianni, Stavroula; Perissi, Ilaria; Ploiner, C.; Radulov, L.; Rodrigo, Paula; Sun, L.; Theofilidi, Myrto
KeywordsBiophysical constraints
Climate damage
Energy efficiency
GHG emissions
Raw materials
Energy costs
Issue DateOct-2020
CitationRenewable and Sustainable Energy Reviews 132: 110105 (2020)
AbstractThis paper reviews different approaches to modelling the energy transition towards a zero carbon economy. It identifies a number of limitations in current approaches such as a lack of consideration of out-of-equilibrium situations (like an energy transition) and non-linear feedbacks. To tackle those issues, the new open source integrated assessment model pymedeas is introduced, which allows the exploration of the design and planning of appropriate strategies and policies for decarbonizing the energy sector at World and EU level. The main novelty of the new open-source model is that it addresses the energy transition by considering biophysical limits, availability of raw materials, and climate change impacts. This paper showcases the model capabilities through several simulation experiments to explore alternative pathways for the renewable transition. In the selected scenarios of this work, future shortage of fossil fuels is found to be the most influential factor of the simulations system evolution. Changes in efficiency and climate change damages are also important determinants influencing model outcomes
Description13 pages, 7 figures, 4 tables, 3 appendixes, supplementary data https://doi.org/10.1016/j.rser.2020.110105
Publisher version (URL)https://doi.org/10.1016/j.rser.2020.110105
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