Imagine a digital library where neighbors who produce their own solar or wind power can share and trade energy data easily. It uses a smart system to reward people for sharing their meter readings, almost like a loyalty program for energy. This helps local groups decide the best way to share power and save money without needing a giant utility company to manage every detail.
Local energy communities struggle to share data securely and monetize their energy assets. There is a lack of standardized tools to model energy flows and reward citizens for providing metering data.
["A DLT-based layer for secure private metering and governance.", "A tool for creating AI models and algorithms to extract insights from energy datasets.", "A decentralized marketplace for energy data and pre-trained AI models."]
If you are a DSO dealing with unpredictable power flows from local solar panels — this project developed a Decision Support System that allows you to evaluate different energy scenarios and manage local grids more efficiently.
If you are a software provider dealing with fragmented energy data — this project developed a federated data space and a marketplace for pre-trained AI models that can be integrated into your existing energy apps.
If you are a consultant dealing with complex carbon reporting for local energy groups — this project developed real-time Life Cycle Assessment (LCA) and Costing (LCC) tools to automate environmental impact reports.
Based on available project data, the specific pricing is not mentioned, but the project is developing a marketplace and a tokenization rewarding approach to stimulate data exchange.
Yes, the project is designed as a federated energy data space and is being validated across 9 different cases in 15 countries to ensure it works in diverse regulatory environments.
Based on available project data, the specific licensing terms are not provided, but the project focuses on creating an open marketplace for datasets and AI models.
The project implements a DLT (Distributed Ledger Technology) layer to ensure data scalability and security for private metering and governance.
The platform is built to be interoperable and is studying integration with other EU energy spaces such as GAIA-X and OPEN DEI.
The project is heavily industry-driven, with 22 industry partners representing 67% of the 33-member consortium. This high ratio of commercial entities, including 9 SMEs across 15 countries, suggests the outputs are designed for immediate commercial utility rather than purely academic research.
Contact RINA CONSULTING SPA in Italy for partnership inquiries.
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