SEEDS - Self-learning Energy Efficient Buildings and Open Spaces

The primary objective of this project is to minimize the energy consumption and CO2 emissions of buildings while they are being used without decreasing user comfort or breaching legal standards. To achieve this, a group of European partners from industry and research are working together on an open system architecture for smart building energy management systems (BEMS). The architecture will be suitable both for retrofitting to existing infrastructure and for new building designs.

Solution Approach

SEEDS utilizes advanced process control methods for energy management in buildings. A model that predicts energy consumption in buildings is at the heart of the SEEDS methodology. This model takes into account internal usage parameters (e.g. building usage profiles, user comfort), the energy consumed by technical building equipment (e.g. air conditioning), and environmental parameters (e.g. weather conditions). Derived from the building history using statistical methods such as self-learning, the data is continuously updated during operation. Special models will be developed to calculate the energy consumption of the technical equipment.

Based on this predictive model, building management is continuously optimized to ensure minimum energy consumption and CO2 emissions within the defined user comfort parameters. State-of-the-art sensor technology is used for the interface between the building energy management system and building services.

To demonstrate its viability and energy savings, the BEMS developed in the SEEDS project will be installed in two building complexes in Spain and Norway as pilot projects.


SEEDS stands for »Self-learning Energy Efficient builDings and open Spaces«. The project is supported by the European Union within the 7th Framework Programme for Research and Technological Development. The project team consists of organizations from the construction, electronics, ICT, and energy industries.