Partenaires et organisations internationales
(Anglais)
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Conphoebus (I), CSEM SA (CH) EPFL, ST-Thomson (I),
TNO-BOUW (NL), VTT (FIN), Senamion Automazione (I), TU Vienna (A)
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Résumé des résultats (Abstract)
(Anglais)
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Operating a building efficiently means co-ordinating the physical plants with constantly changing needs. Building energy management is performed in different ways, on European scale, since design, manufacture, engineering, installation, commissioning and maintenance processes are contemporary involved, and it reflects the wide variations in climate, building type, space per capita, control and management methods, and national regulations. Optimisation and integration through smart building control systems can save substantial amounts of energy while improving requirements for indoor comfort. The EDIFICIO project, funded in part by the EU Commission in the frame of the JOULE III Programme, has the goal to develop innovative, adaptive, integrated control systems for the optimal energy management and indoor comfort in buildings. This is achieved by using Soft Computing Techniques (SCT), specially Fuzzy Logic (FL), Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs).
CSEM is mainly involved in the development of the thermal controller (heating/cooling) that has to provide the required level of comfort during user's occupancy with a special attention to energy saving aspects. A predictive fuzzy controller has been developped and tested during the first year of the project. It has been designed to fit into the integrated smart control system consisting of a 3-level nested control loop:
- level 1 : control of the actuators around the required set-point
- level 2 : fuzzy logic controller which generates the set-points for heating-cooling power, ventilation rate and luminous intensity
- level 3 : continuous adaptation of the control parameters of the lower loop controllers, taking into account both an overall 'cost function' and the reactions of the user.
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