Imagine a neighborhood where everyone shares solar power like a community garden. This project builds a digital map and a smart assistant to help neighbors decide when to use or sell their energy. It makes it easy for people who aren't tech-experts to save money and use green power together.
End-users often struggle to adopt digital energy tools due to low digital literacy and complex data systems. There is also a lack of integrated data tools that allow communities to manage their own renewable energy production and consumption effectively.
An open-source cross-sector data-driven Digital Ecosystem and Toolbox, including a Digital Twin of community energy systems and AI Assistant Tools.
If you are a local energy supplier dealing with low customer engagement in green programs — this project developed a Digital Twin and AI tools that help users optimize energy usage. This increases the adoption of local production schemes across different climate zones.
If you are a software provider dealing with fragmented energy data — this project developed an open-source cross-sector data toolbox. This allows for the creation of tailored services that improve user experience and digital literacy.
If you are a developer dealing with the complexity of managing shared energy in new districts — this project developed community-based digital services. These tools support self-consumption schemes for residents in diverse geographical areas.
Based on available project data, the project is developing an open-source toolbox, but specific commercial pricing is not mentioned.
The tools are being tested in 3 real-world demonstrators located in Spain, Finland, and Italy.
The project objective specifies the development of an open-source cross-sector data-driven Digital Ecosystem and Toolbox.
It uses a cross-sector data-driven approach to integrate information across the energy value chain and other sectors.
The project period runs from 2024-12-01 to 2027-11-30.
The consortium is well-balanced for technology transfer, consisting of 15 partners from 6 countries. With a 27% industry ratio (4 industrial partners) and 4 SMEs, there is a strong mix of commercial interest and academic research (2 universities, 4 research centers), ensuring that the digital tools are grounded in both scientific rigor and market needs.
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