Cross-Sectorial Integrated Digital Services Enabling Energy Localized Innovation and Community Empowerment
Description
CELINE introduces an innovative framework aimed at promoting the widespread adoption of digital technologies within the energy sector, fostering seamless interaction and collaboration among energy stakeholders. It focuses on facilitating the adoption of localized community-based and digital-driven energy innovations, which are user-centric, community-based, and tailored to address the needs of specific geographical areas or communities. CELINE conceptualize, co-design, develop, and demonstrate an open-source cross-sector data-driven Digital Ecosystem and Toolbox, comprising a Digital Twin of community energy systems and AI Assistant Tools, enabling the creation of tailored cross-sector data-driven services aimed to:
- Support community-led self-consumption and production schemes;
- Enhance end-users’ capabilities in managing energy resources, optimizing energy usage, and making well-informed energy-related decisions;
- Empower end-users by improving their digital and energy literacy, enhancing user experience, and overcoming potential resistance and barriers. CELINE tools and services will be tested in three real-world Demonstrators (Ds) across different European regions, offering diverse climate, geographical, and socio-economic conditions (Valencia/ES, Lappeenranta/FI, and Alpe Cimbra/IT)
Consortium members
SmartEn contributions
smartEn is involved in all the tasks regarding the exploitation , dissemination and sustainability strategy. It will more precisely leads and coordinates the Policy recommendations and guidance to support future policy development, and will draft policy recommendations based on findings from the Demonstration phase and local activities. Those recommendations will enable to improve the regulatory framework for project implementation and future similar solutions in the market.
This project received funding by the European Union under the Horizon Europe Framework Programme, Grant Agreement No 101160667
