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Pré-publication, Document de travail

e4clim 1.0 : The Energy for CLimate Integrated Model: Description and Application to Italy

Abstract : We develop an open-source Python software integrating flexibility needs from Variable Renewable Energies (VREs) in the development of regional energy mixes. It provides a flexible and extensible tool to researchers/engineers, and for education/outreach. It aims at evaluating and optimizing energy deployment strategies with high shares of VRE; assessing the impact of new technologies and of climate variability; conducting sensitivity studies. Specifically, to limit the algorithm’s complexity, we avoid solving a full-mix cost-minimization problem by taking the mean and variance of the renewable production-demand ratio as proxies to balance services. Second, observations of VRE technologies being typically too short or nonexistent, the hourly demand and production are estimated from climate time-series and fitted to available observations. We illustrate e4clim’s potential with an optimal recommissioning-study of the 2015 Italian PV-wind mix testing different climate-data sources and strategies and assessing the impact of climate variability and the robustness of the results.
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Contributeur : Alexis Tantet <>
Soumis le : jeudi 12 septembre 2019 - 17:50:11
Dernière modification le : mardi 21 juillet 2020 - 10:48:02
Document(s) archivé(s) le : mercredi 8 janvier 2020 - 21:03:07


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  • HAL Id : hal-01962044, version 3
  • ARXIV : 1812.09181



Alexis Tantet, Silvia Concettini, Anna Creti, Claudia d'Ambrosio, Dimitri Thomopulos, et al.. e4clim 1.0 : The Energy for CLimate Integrated Model: Description and Application to Italy. 2019. ⟨hal-01962044v3⟩



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