SEEDS: Self learning Energy Efficient Buildings and Open Spaces

The SEEDS project consists in the development of an innovative system for optimizing building performance, both single buildings and groups of buildings, in terms of energy, comfort and lifecycle value.

The SEEDS (Self-learning Energy Efficient buildings and Open Spaces) project has Ferrovial Construction’s R&D department as a project partner. It is coordinated by CEMOSA and has been funded through the European Commission’s Seventh Framework Programme for Research.

The project consists of the development of an innovative system for optimizing building performance, both single buildings and groups of buildings, in terms of energy, comfort and lifecycle value, based on building technologies, and technologies for predictive control, self-learning and artificial intelligence.

Using new optimization algorithms, the SEEDS system helps to minimize energy consumption in buildings, while maintaining comfort and air quality within them. The project has developed a network of wireless sensors which are easy to install and compatible with automatic maintenance systems, thus allowing them to be retrofitted during renovation of existing buildings.

Buildings account for over 35% of the European Union’s energy consumption, and the project therefore has the potential to contribute significantly to Europe’s energy consumption and CO₂ reduction targets for 2020.

Consortium: CEMOSA (coordinator, Spain), Fraunhofer (Germany), Ferrovial Construction (Spain), Stavanger University (Norway), Salford University (UK), Cidaut (Spain), Softcrits (Spain), NSC (Germany) and FASA (Germany).

This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement No. 285150.