SEEDS: Self learning Energy Efficient Buildings and open Spaces
The SEEDS project consists in the development of an innovative system for optimising building performance, both single buildings and groups of buildings, in terms of energy, comfort and lifecycle value.
- 36 months
- 4.4 million Euros
- 8 partners in the consortium
The SEEDS (Self-learning Energy Efficient builDings and open Spaces) project has Ferrovial Agroman’s R&D department as project partner. It is coordinated by CEMOSA and has been funded through the European Commission’s Seventh Framework Programme for Research.
The project consists in the development of an innovative system for optimising 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 optimisation algorithms, the SEEDS system helps to minimise energy consumption in buildings, whilst 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 Agroman (Spain), Stavanger University (Norway), Salford University (UK), Cidaut (Spain), Softcrits (Spain), NSC (Germany) and FASA (Germany).
PRENDE: Platform for the Energy Refurbishment of Eco-efficient Urban Districts
With the collaboration of
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement No 285150.