Christian Kerschner, D. Álvarez, M. Theofilidi, Davide Natalini, Emilio García-Ladona, C. De Castro, J.M. Enríquez, Christian Kimmich, Lukas Eggler, Óscar Carpintero, Kuishuang Feng, R. Kaclíková, Martin Baumann, Jaime Nieto, Iñigo Capellán-Pérez, G. Parrado, K. Buchmann, Angel Nikolaev, Sara Falsini, P. Rodrigo, Fernando Frechoso, J.-D. De Lathouwer, N. Ferreras, Antonio García-Olivares, Ugo Bardi, Pedro L. Lomas, Laixiang Sun, Martin Černý, C. Ploiner, Joaquim Ballabrera-Poy, Ilaria Perissi, Roger Samsó, S. Papagianni, Jordi Solé, Margarita Mediavilla, Klaus Hubacek, Gianluca Martelloni, Luis Fernando Lobejón, Luis J. de Miguel, Aled Jones, L. Radulov, T. Madurell, Oleg Osychenko, Antonio Turiel, Carmen Duce, I. De Blas, European Commission, and Agencia Estatal de Investigación (España)
13 pages, 7 figures, 4 tables, 3 appendixes, supplementary data https://doi.org/10.1016/j.rser.2020.110105, This 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, This work was supported by the European Union through the funding of the MEDEAS project under the Horizon 2020 research and innovation programme [grant agreement No 69128], With the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI)