RT info:eu-repo/semantics/article
T1 Modelling the renewable transition: Scenarios and pathways for a decarbonized future using pymedeas, a new open-source energy systems model
A1 Solé, J.
A1 Samsó, R.
A1 García-Ladona, E.
A1 García-Olivares, A.
A1 Ballabrera-Poy, J.
A1 Madurell, T.
A1 Turiel, A.
A1 Osychenko, O.
A1 Álvarez, D.
A1 Bardi, U.
A1 Baumann, M.
A1 Buchmann, K.
A1 Černý, M.
A1 De Lathouwer, J.-D.
A1 Eggler, Lukas
A1 Enríquez, J.M.
A1 Falsini, S.
A1 Feng, K.
A1 Ferreras, N.
A1 Hubacek, K.
A1 Jones, A.
A1 Kaclíková, R.
A1 Kerschner, C.
A1 Kimmich, C.
A1 Martelloni, G.
A1 Natalini, D.
A1 Nikolaev, A.
A1 Parrado, G.
A1 Papagianni, S.
A1 Perissi, I.
A1 Ploiner, C.
A1 Radulov, L.
A1 Sun, L.
A1 Theofilidi, M.
A1 Miguel González, Luis Javier
A1 Lobejón Herrero, Luis Fernando
A1 Lomas, Pedro L.
A1 Mediavilla Pascual, Margarita
A1 Nieto, Jaime
A1 Rodrigo, Paula
A1 Capellán Pérez, Iñigo
A1 Blas, Ignacio de
A1 Castro Carranza, Carlos de
A1 Duce, Carmen
A1 Frechoso Escudero, Fernando
K1 Energías renovables
K1 Biophysical constraints
K1 Climate damage
K1 Energy efficiency
K1 GHG emissions
K1 Raw materials
K1 Energy costs
K1 3322.05 Fuentes no Convencionales de Energía
AB 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.
PB Elsevier
SN 1364-0321
YR 2020
FD 2020
LK https://uvadoc.uva.es/handle/10324/66246
UL https://uvadoc.uva.es/handle/10324/66246
LA eng
NO Renewable and Sustainable Energy Reviews, October 2020, Volume 132, 110105.
NO Producción Científica
DS UVaDOC
RD 18-dic-2024