Overcoming the disconnect between energy system and climate modeling
arXiv:2205.15636 · doi:10.1016/j.joule.2022.05.010
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.
MTC, JW and LPS contributed equally to this manuscript. 25 pages, 2 figures. Fixed typos in manuscript title. This perspective is based on the discussion held at the 2021 Next Generations Challenges in Energy-Climate Modelling (NextGenEC'21) workshop
References in corpus (4)
- Future operation of hydropower in Europe under high renewable penetration and climate change
- Importance subsampling: improving power system planning under climate-based uncertainty
- Incorporating climate change effects into the European power system adequacy assessment using a post-processing method
- A validated high-resolution hydro power time-series model for energy systems analysis
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