Overcoming the disconnect between energy system and climate modeling
/ Authors
Michael T. Craig, J. Wohland, L. Stoop, Alexander Kies, B. Pickering, H. Bloomfield, J. Browell, M. Felice, C. Dent, A. Deroubaix
and 36 more authors
F. Frischmuth, P. Gonzalez, Aleksander Grochowicz, K. Gruber, Philipp Hartel, M. Kittel, Leander Kotzur, Inga Labuhn, J. Lundquist, Noah Pflugradt, K. Wiel, M. Zeyringer, D. S. U. O. Michigan, US Eth Zurich, CH Gerics, Delft University, NL TenneT Tso B.V., NL Knmi, NL Fias, Denise Bristol, UK University of Reading, UK University of Glasgow Jrc Petten, NL University of Edinburgh, UK the Alan Turing Institute, UK Max Planck Institute, DE Fraunhofer Iee, D. Oslo, North China University of Water Resources, Life Sciences, AT Diw Berlin, DE FZ Jeulich, DE University of Bremen, DE University of Colorado Boulder, US Nrel, US Rasei, Us
/ Abstract
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.
Journal: Joule