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Overcoming the disconnect between energy system and climate modelling

Craig, M. T., Wohland, J., Stoop, L. P., Kies, A., Pickering, B., Bloomfield, H. C. ORCID:, Browell, J., De Felice, M., Dent, C. J., Deroubaix, A., Frischmuth, F., Gonzalez, P. L. M. ORCID:, Grochowitz, A., Gruber, K., Härtel, P., Kittel, M., Kotzur, L., Labuhn, I., Lundquist, J. K., Pflugradt, N. , van der Wiel, K., Zeyringer, M. and Brayshaw, D. J. ORCID: (2022) Overcoming the disconnect between energy system and climate modelling. Joule, 6 (7). pp. 1405-1417. ISSN 2542-4351

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To link to this item DOI: 10.1016/j.joule.2022.05.010


Energy system models underpin decisions by energy system planners and operators. Energy system modelling faces a transformation: accounting for changing meteorological conditions imposed by climate change. To enable that transformation, a community of practice in energy-climate modelling 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 modelling 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 modelling. 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.

Item Type:Article
Divisions:Interdisciplinary centres and themes > Energy Research
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:105187


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