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Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of energy modelling tools

Abstract The exploration of future energy system trajectories needs to be based on long-term scenarios, which in turn requires using long-term modelling tools. Introducing a strong decarbonisation constraint, for instance, profoundly modifies the power sector, which is impacted by increasing shares of variable renewable energy sources. Long-term modelling tools working on different assumptions increasingly factor in these impacts, the assessment of which requires a clear description and categorization of the technical and economic choices for representing the tools in question. A new typology based on a literature review is presented for both power sector models and long-term models of the energy system. New comparing criteria focussing on the power sector's components are put forward, such as electricity storage and grid. An analysis carried out by means of this categorization on five chosen models shows that, up until now, energy modelling tools and power system tools have been designed to meet separate objectives and have not combined their advantages.
- Grenoble Alpes University France
- University of Grenoble France
- Centre national de la recherche scientifique France
- Grenoble Institute of Technology France
- CEA LETI France
690, 670, 330, Electricity storage, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, Typology, Long-term energy modelling tool, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Power system
690, 670, 330, Electricity storage, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, Typology, Long-term energy modelling tool, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Power system
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).142 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
