Modelling the Renewable Transition: scenarios and pathways for a decarbonized future using pymedeas, a new open-source energy systems model

Solé, Jordi and Samsó, R. and García-Ladona, E. and García-Olivares, A. and Ballabrera, J. and Madurell, T. and Turiel, A. and Osychenko, O. and Álvarez, D. and Bardi, U. and Baumann, M. and Buchmann, Katrin and Capellán-Pérez, Í and Cerny, M. and Carpintero, Ó and De Blas, I and De Castro, C. and De Lathouwer, J-D. and Duce, C. and Eggler, L. and Enríquez, J. M. and Falsini, S. and Feng, K. and Ferreras, N. and Frechoso, F. and Hubacek, K. and Jones, Aled and Kaclíková, R. and Kerschner, C. and Kimmich, C. and Lobejón, L. F. and Lomas, P. L. and Martelloni, G. and Mediavilla, M. and Miguel, L. J. and Natalini, Davide and Nieto, J. and Nikolaev, Angel and Parrado, G. and Papagianni, S. and Perissi, I. and Ploiner, C. and Radulov, Lulin and Rodrigo, P. and Sun, L. and Theofilidi, M. (2020) Modelling the Renewable Transition: scenarios and pathways for a decarbonized future using pymedeas, a new open-source energy systems model. Renewable and Sustainable Energy Reviews, 132. p. 110105. ISSN 1364-0321

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Official URL: https://doi.org/10.1016/j.rser.2020.110105

Abstract

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.

Item Type: Journal Article
Keywords: biophysical constraints, climate damage, energy efficiency, GHG emissions, raw materials, energy costs
Faculty: Faculty of Science & Engineering
SWORD Depositor: Symplectic User
Depositing User: Symplectic User
Date Deposited: 20 Jul 2020 09:44
Last Modified: 11 Jun 2021 14:01
URI: https://arro.anglia.ac.uk/id/eprint/705702

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