If you are a grid operator dealing with inefficient energy distribution — this project developed a Reference Architecture and Digital Twins that improve system-level efficiency. It uses 11 use cases to show how data sharing can stabilize the grid.
Secure Data Sharing Network for Energy Services and Smart Grid Efficiency
Imagine a secure digital library where energy companies and customers can trade data like currency. Instead of keeping information locked away, they use a trusted system to share it safely without risking privacy. This helps everyone optimize power use and create new services, similar to how a shared map helps all drivers avoid traffic.
What needed solving
Energy data sharing is stalled because companies and consumers lack trust and fear privacy breaches. Additionally, there are no mature business models to reward people for sharing their energy data.
What was built
A Reference Architecture for a European Energy Data Space and a Blockchain-based marketplace for exchanging energy assets and services.
Who needs this
Who can put this to work
If you are a service provider dealing with low customer participation in data sharing — this project developed consumer-centric business models that offer non-financial rewards. This encourages users to share consumption data to unlock better energy services.
If you are a software vendor dealing with fragmented data formats across different countries — this project developed open APIs and standard interfaces based on SAREF 2. This allows your software to connect seamlessly across 12 different countries.
Quick answers
What is the cost or pricing model for using this system?
Based on available project data, specific pricing is not mentioned, but the project focuses on co-designing business models that enable value creation beyond simple financial compensation.
Can this be scaled to an industrial level?
Yes, the project is designed for a European-wide scale, integrating with major initiatives like GAIA-X and IDSA and demonstrating results across 7 pilots.
Who owns the IP and how is licensing handled?
Based on available project data, the project emphasizes open Standards (e.g., ETSI Context Broker) and open APIs to ensure a level playing field, though specific licensing terms are not listed.
How does this handle data privacy regulations?
The system uses trust-related connectors and privacy-preserving federated learning to ensure confidentiality, sovereignty, and full control of data.
How easy is it to integrate with existing energy systems?
Integration is facilitated through the use of standardizable interfaces, open APIs, and a Reference Architecture that hybridizes SGAM with IDSA and GAIA-X.
Who built it
The consortium is heavily industry-driven with a 61% industry ratio, comprising 19 industrial partners including 6 SMEs. This strong commercial presence, spanning 12 countries and 31 total partners, suggests the resulting tools are designed for real-world market application rather than purely academic research.
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