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Open-Source Datasets, Models, and Tools for Renewable Energy Community Design
Auteurs :
Affiliations : 1 - Faculty of Architecture and Urban Planning, University of Mons, St. Havré 88, 7000 Mons, Belgium ( Belgique), 2 - Univ. Lille, Arts et Metiers Institute of Technology, Centrale Lille, Junia, ULR 2697 - L2EP, F-59000 Lille, France ( France), 3 - Faculty of Architecture and Urban Planning, University of Mons, St. Havré 88, 7000 Mons, Belgium ( Belgique)
Thématique :
SS6 - Open Science pour les Génie Électrique : Vers un Futur Open-Hardware, Open-Software, et Open-Data
Session :
SS6 "SS6 - Open Science pour les Génie Électrique : Vers un Futur Open-Hardware, Open-Software, et Open-Data"
Résumé
Renewable Energy Communities (RECs) show promising potential for achieving energy transition goals by fostering collective ownership of energy systems and empowering citizens to take control of energy processes (generating, managing, consuming, storing, or even distributing). To facilitate the study and implementation of RECs, a comprehensive analysis of their dynamics through modeling is needed. Achieving this requires access to data, models, and tools with open-source options that present a viable and accessible alternative. However, literature lacks comprehensive reviews of state-of-the-art open-source datasets, models, and tools specifically tailored for RECs modeling. To fill this gap, this paper conducts a systematic review to evaluate the available up-to-date open-source materials applicable to REC analysis, including electrical, thermal, and multi-energy system models, and develop a comprehensive list of open-source toolkits that effectively support their simulation and optimization.