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ESTIRPE, a Spanish term meaning lineage, places the sense of community at the heart of the energy transition, fostering Energy Communities (ECs) empowerment through active participation, shared decision-making and inclusive innovation. ESTIRPE aims to boost ECs integration into the European (EU) grids, by enhancing renewable energy sharing, promoting the use of flexibility and enabling local energy trading and grid services. All this will be achieved by developing innovative AI-based and open-source solutions, tailored to the diverse needs of ECs. Through its transformative vision, ESTIRPE will connect citizens, ECs, DSOs, and aggregators within a shared EU framework, transforming fragmented local efforts into a cohesive and participatory energy network. The project is piloted in four main demonstrators (Spain, Italy, Greece, and the Netherlands) each representing a unique blend of climate, cultural, political, financial, and technical conditions across EU. Despite the growing recognition of ECs as key enablers of EU’s clean energy transition, their expansion remains uneven and constrained by a combination of regulatory, financial, technical, and social barriers. ECs still constitute a relatively new concept at EU and national level, and thus transposition processes continue to present difficulties. ESTIRPE project tackles these limitations by fostering digital interoperability, open governance and equitable data access, which empowers local actors to participate actively in the energy market, promoting citizen-led, resilient, and inclusive energy ecosystems. By deploying a Plug and Play Cooperation Platform that integrates P2P trading mechanisms and a Federated Data Space together with a set of open-source and AI-driven Digital Twins of the ECs and pilot sites grids, ESTIRPE enables transparent information sharing, secure data exchange and and coordinated cross-sector operational planning.
Energy Communities; Empowerment; Open-Source; Flexibility; Energy Sharing; Green Transition; Energy Market; Prosumerism; DSOs; Aggregators; Advanced Energy Management Systems; AI-driven technologies
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Co-funded by the European Union under grant agreement no. 101326481. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or CINEA. Neither the European Union nor the granting authority can be held responsible for them.
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