Imagine your building is like a giant battery that can save or use power based on what the city's grid needs. This project uses AI to automatically trade that flexibility for money without making the people inside uncomfortable. It turns ordinary offices and apartments into active players in the energy market.
Buildings are underutilized as energy assets, and grid operators struggle to integrate flexible demand without compromising user comfort. There is a lack of validated tools to trade this flexibility profitably and reliably.
A comprehensive and validated toolset for AI-based energy flexibility trading in buildings.
If you are a grid operator dealing with unstable power loads — this project developed a toolset that integrates building energy flexibility into the market. This allows you to balance the grid more efficiently using AI-based services.
If you are a manager dealing with high energy costs — this project developed a system that turns your building into a flexibility asset. You can now trade energy capacity to market players while keeping occupants happy.
If you are an aggregator dealing with fragmented energy sources — this project developed a validated toolset to manage building assets. This enables you to offer competitive flexibility services to TSOs and DSOs.
Based on available project data, the specific commercial price is not mentioned, though the EU is contributing EUR 4,999,305 to the development.
The project will be validated through seven large-scale pilots across six countries: Spain, Belgium, Poland, Austria, Denmark, and Germany.
Based on available project data, specific licensing terms are not provided, but the project aims to offer a package of lessons learned and recommendations for industrial partnerships.
The project period runs from 2025-01-01 to 2027-12-31, meaning full validation will be complete by the end of 2027.
The toolset is designed to support smooth integration of services towards energy market players such as TSOs, DSOs, and aggregators.
The consortium is well-balanced for commercialization, featuring 16 partners with a 38% industry ratio (6 industrial partners). The presence of 3 SMEs and a mix of 4 universities and 5 research institutions suggests a strong pipeline from theoretical AI development to practical industrial application across 6 European nations.
Contact CENTRE INTERNACIONAL DE METODES NUMERICS EN ENGINYERIA in Spain
Contact us to connect with the BlueBird consortium for pilot participation.
