Overcoming the disconnect between energy system and climate modeling

Michael Craig, Jan Wohland*, Laurens P. Stoop, Alexander Kies, Bryn Pickering, Hannah C. Bloomfield, Jethro Browell, Matteo De Felice, Chris J. Dent, Adrien Deroubaix, Felix Frischmuth, Paula L.M. Gonzalez, Aleksander Grochowicz, Katharina Gruber, Philipp Hartel, Martin Kittel, Leander Kotzur, Inga Labuhn, Julie K. Lundquist, Noah PflugradtKarin van der Wiel, Marianne Zeyringer, David J. Brayshaw

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract / Description of output

Energy system models underpin decisions by energy system planners and operators. Energy system modeling faces a transformation: accounting for changing meteorological conditions imposed by climate change. To enable that transformation, a community of practice in energy-climate modeling has started to form that aims to better integrate energy system models with weather and climate models. Here, we evaluate the disconnects between the energy system and climate modeling communities, then lay out a research agenda to bridge those disconnects. In the near-term, we propose interdisciplinary activities for expediting uptake of future climate data in energy system modeling. In the long-term, we propose a transdisciplinary approach to enable development of (1) energy-system-tailored climate datasets for historical and future meteorological conditions and (2) energy system models that can effectively leverage those datasets. This agenda increases the odds of meeting ambitious climate mitigation goals by systematically capturing and mitigating climate risk in energy sector decision-making.
Original languageEnglish
Pages (from-to)1405-1417
Issue number7
Early online date2 Jun 2022
Publication statusPublished - 20 Jul 2022


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