If you are a DSO dealing with grid congestion and instability — this project developed an orchestration system that manages demand response and peak shaving. This allows you to maintain grid stability by leveraging aggregated energy communities.
AI-Driven Energy Management for Community Power Sharing and Grid Flexibility Services
Imagine a neighborhood where houses and factories act like a single giant battery. Instead of everyone just buying power, they share solar energy and EV batteries to keep the grid stable. A smart coordinator balances who uses power and when, making sure everyone saves money and reduces pollution.
What needed solving
Energy producers and consumers struggle to monetize their flexibility and share renewable energy due to a lack of interoperability between different management systems and complex grid regulations.
What was built
A three-layer orchestration system based on Stackelberg Game optimization to manage energy flexibility across residential and industrial sites.
Who needs this
Who can put this to work
If you are an EMS provider dealing with proprietary software silos — this project developed an interoperable layer using Stackelberg Game optimization. This enables your systems to communicate and participate in electricity markets to reduce carbon footprints.
If you are a building operator dealing with high energy costs — this project developed a way to aggregate your site into an energy district. This allows you to make money by providing balancing and frequency services to the main grid.
Quick answers
How does this affect energy costs for the end-user?
The system uses optimization to find a trade-off that allows buildings and industrial sites to reduce their costs and carbon footprint by participating in energy markets.
Is this solution ready for industrial scale?
The project is designed for scale through a demonstration campaign in 3 different EU countries (Italy, Spain, and France) involving TSOs and DSOs.
What is the IP or licensing model for the optimization algorithm?
Based on available project data, the specific licensing terms are not listed, but the project focuses on replication and market design for exploitation.
Does this comply with current energy laws?
Yes, the solution is developed to be coherent with the ongoing regulatory framework and will provide recommendations to improve energy community legislation.
When will the results be available for implementation?
The project period runs from 2024-11-01 to 2028-04-30, suggesting a multi-year development and validation cycle.
Who built it
The consortium is heavily weighted toward commercial application, with a 78% industry ratio (14 out of 18 partners). The presence of 9 SMEs suggests a focus on agile technology deployment, while the involvement of partners across 7 countries ensures the solution is tested against diverse regulatory environments in the EU and beyond.
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