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.
%0 Journal Article
%1 craig2022overcoming
%A Craig, Michael T.
%A Wohland, Jan
%A Stoop, Laurens P.
%A Kies, Alexander
%A Pickering, Bryn
%A Bloomfield, Hannah C.
%A Browell, Jethro
%A De Felice, Matteo
%A Dent, Chris J.
%A Deroubaix, Adrien
%A Frischmuth, Felix
%A Gonzalez, Paula L.M.
%A Grochowicz, Aleksander
%A Gruber, Katharina
%A Härtel, Philipp
%A Kittel, Martin
%A Kotzur, Leander
%A Labuhn, Inga
%A Lundquist, Julie K.
%A Pflugradt, Noah
%A van der Wiel, Karin
%A Zeyringer, Marianne
%A Brayshaw, David J.
%D 2022
%J Joule
%K climate climateservices demand electricitynetworks energy renewables thermalelectricpower
%R https://doi.org/10.1016/j.joule.2022.05.010
%T Overcoming the disconnect between energy system and climate modeling
%U https://www.sciencedirect.com/science/article/pii/S2542435122002379
%X 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.
@article{craig2022overcoming,
abstract = {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.},
added-at = {2022-06-07T10:23:34.000+0200},
author = {Craig, Michael T. and Wohland, Jan and Stoop, Laurens P. and Kies, Alexander and Pickering, Bryn and Bloomfield, Hannah C. and Browell, Jethro and {De Felice}, Matteo and Dent, Chris J. and Deroubaix, Adrien and Frischmuth, Felix and Gonzalez, Paula L.M. and Grochowicz, Aleksander and Gruber, Katharina and Härtel, Philipp and Kittel, Martin and Kotzur, Leander and Labuhn, Inga and Lundquist, Julie K. and Pflugradt, Noah and {van der Wiel}, Karin and Zeyringer, Marianne and Brayshaw, David J.},
biburl = {https://www.bibsonomy.org/bibtex/216d0ad5534c717b2712901af866c8899/pbett},
doi = {https://doi.org/10.1016/j.joule.2022.05.010},
interhash = {3905418840d430bf162f16c93a07c83c},
intrahash = {16d0ad5534c717b2712901af866c8899},
issn = {2542-4351},
journal = {Joule},
keywords = {climate climateservices demand electricitynetworks energy renewables thermalelectricpower},
timestamp = {2022-06-07T10:23:34.000+0200},
title = {Overcoming the disconnect between energy system and climate modeling},
url = {https://www.sciencedirect.com/science/article/pii/S2542435122002379},
year = 2022
}