Imagine your home appliances could talk to the power grid and decide to run when electricity is cheapest or cleanest without you noticing. It's like having a smart conductor for your house that balances heating and power to save money. This system makes sure you stay comfortable while helping the city avoid power outages.
Residential energy use is hard to predict and control, making it difficult to integrate renewable energy. Current smart appliances lack the ability to communicate with the grid, and consumers lack incentives to change their habits.
A set of AI clustering algorithms, Open APIs for appliances, Digital Twins for energy planning, and a Business Sandbox for sharing-economy models.
If you are a utility provider dealing with unstable grids due to renewable energy — this project developed data-driven DR algorithms that balance supply and demand across residential districts. This reduces the need for expensive fossil fuel backup plants.
If you are a manufacturer dealing with devices that are smart but not grid-ready — this project developed Open APIs for DR-ready appliances. This allows your products to automatically participate in energy-saving programs.
If you are a facility manager dealing with high heating costs in elderly care homes — this project developed comfort-based flexibility models. This ensures residents stay warm while optimizing energy use based on their specific needs.
Based on available project data, specific pricing or implementation costs are not provided, though the project aims to use IoT appliances available at decreasing costs.
Yes, the project is designed to scale from micro (home/apartment) to macro (building and district-scale) levels using 5 full-scale pilots and 2 multipliers.
Based on available project data, the project utilizes an Energy DataSpace with privacy-preserving Blockchain governance, but specific licensing terms are not listed.
The project provides blueprints to support policy makers and regulators to enable market take-up and EU-wide replication.
Integration is achieved through Open APIs for smart appliances and an interoperability layer based on the ENERSHARE Energy Data Space.
The consortium is heavily industry-weighted with 13 industrial partners (57% ratio), including 9 SMEs. This suggests a strong focus on commercial viability rather than pure theory, with a diverse geographic spread across 10 countries to ensure the tools work across different European energy markets.
Contact ENGINEERING - INGEGNERIA INFORMATICA SPA in Italy
Contact us to explore licensing the DR-ready APIs or joining the Business Sandbox.
