New quizzes launched to boost knowledge in decentralized energy systems!
Test your knowledge and enhance your understanding of advanced technologies and decentralized energy systems in federated communities!
Test your knowledge and enhance your understanding of advanced technologies and decentralized energy systems in federated communities!
Find the deliverables related to the project's progress on our Zenodo repository.
The EU has made significant progress in recognizing and empowering energy communities, acknowledging their vital role in the clean energy transition.
FEDECOM project is pleased to invite you to attend the next webinar that we are co-organizing as part of the upcoming EM-Power Europe (https://www.em-power.eu/home), 2024 event. This webinar will take place on Tuesday, April 9th, 2024 - 11:00am–12:15pm CEST (Webinar Language will be in English). We will talk about “European Energy Communities: Sector Coupling, Flexibility, and Operational Perspectives”.
Based on the system of systems approach, this paper introduces a 4-step funnel approach and a 4-step reverse funnel approach to systematically specify and detail demonstration scenarios for energy community projects.
By developing features for Fedecom, colleagues from UCL (Université catholique de Louvain, Belgium), have published, 19th December 2023, a methodology paper about how to optimises the investments over a 30 years transition period while accounting for hourly resolution. The 48 pages scientific publication is available on the ResearchGate Web portal.
Ana Trbovich co-founder of Grid Singularity, partner of the FEDECOM project authored an article for Smart Energy International on a topic of strong relevance to our project.
Azienda Elettrica di Massagno (AEM) SA is responsible for the implementation and management of the pilot site located in the Canton of Ticino, Switzerland...
Current Horizon 2020 (H2020) and Horizon Europe (HEUR) projects focusing directly on ECs where FEDECOM seeks collaborations
Energy system models serve as advisory tools for decision-makers to assess the impact of their choices. Utilizing open-source models enhances the transparency and replicability of results, enabling external individuals to build upon previous studies.