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00925njm 22002777a 4500 dc Solé, J. author Samsó, R. author García-Ladona, E. author García-Olivares, A. author Ballabrera-Poy, J. author Madurell, T. author Turiel, A. author Osychenko, O. author Álvarez, D. author Bardi, U. author Baumann, M. author Buchmann, K. author Černý, M. author De Lathouwer, J.-D. author Eggler, Lukas author Enríquez, J.M. author Falsini, S. author Feng, K. author Ferreras, N. author Hubacek, K. author Jones, A. author Kaclíková, R. author Kerschner, C. author Kimmich, C. author Martelloni, G. author Natalini, D. author Nikolaev, A. author Parrado, G. author Papagianni, S. author Perissi, I. author Ploiner, C. author Radulov, L. author Sun, L. author Theofilidi, M. author Miguel González, Luis Javier author Lobejón Herrero, Luis Fernando author Lomas, Pedro L. author Mediavilla Pascual, Margarita author Nieto Vega, Jaime author Rodrigo, Paula author Capellán Pérez, Iñigo author Blas, Ignacio de author Castro Carranza, Carlos de author Duce, Carmen author Frechoso Escudero, Fernando author 2020 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. Renewable and Sustainable Energy Reviews, October 2020, Volume 132, 110105. 1364-0321 https://uvadoc.uva.es/handle/10324/66246 10.1016/j.rser.2020.110105 110105 October 2020 Renewable and Sustainable Energy Reviews 132 Energías renovables Modelling the renewable transition: Scenarios and pathways for a decarbonized future using pymedeas, a new open-source energy systems model