Publication details

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

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Authors

SOLÉ Jordi SAMSÓ Roger GARCÍA-LADONA Emilio GARCIA-OLIVARES Antonio BALLABRERA Joaquim MADURELL Teresa TURIEL A. OSYCHENCO Oleg ÁLVAREZ-ANTELO David BARDI Ugo BAUMANN Martin BUCHMANN Kat CAPELLÁN-PÉREZ Inigo ČERNÝ Martin CARPINTERO Óscar DE BLAS Ignacio DE CASTRO CARRANZA Carlos DE LATHOUWER Jean-David DUCE Carmen EGGLER Lukas FENG Kuishuang FERRERAS-ALONSO Noelia FRECHOSO ESCUDERO Fernando A. HUBACEK Klaus JONES Aled KACLÍKOVÁ Romana KERSCHNER Christian KIMMICH Christian LOBEJÓN Luis Fernando LOMAS Pedro L. MARTELLONI Gianluca MEDIAVILLA Margarita MIGUEL Luis J. NATALINI Davide NIETO Jaime NIKOLAEV Angel PARRADO-HERNANDO Gonzalo PAPAGIANNI Stavroula PERISSI Ilaria PLOINER Christoph RADULOV Lulin RODRIGO Paula SUN Laixiang THEOFILIDI Myrto ENRÍQUEZ J. M. FALSINI Sara

Year of publication 2020
Type Article in Periodical
Magazine / Source Renewable and Sustainable Energy Reviews
MU Faculty or unit

Faculty of Social Studies

Citation
web article - open access
Doi http://dx.doi.org/10.1016/j.rser.2020.110105
Keywords Biophysical constraints; Climate damage; Energy efficiency; GHG emissions; Raw materials; Energy costs
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Description 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 scenarios of this work, future shortage of 1 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.
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