Edificio project: A neuro-fuzzy approach to building energy management systems
conference paper
It is well known that building installations for indoor climate control, consume a substantial part of the total energy consumption and that at present these installations use much more energy than required due to inadequate settings and poor control and management strategies. European building energy management is diffuse since design, manufacture, engineering, installation, commissioning and maintenance processes are involved contemporary and the wide variety of climates, building types, spaces, control and management methods and national regulations. Addressing the complexity of optimisation, integration and self adaptation through smart building control systems potentially save substantial quantities of energy while improving the present standards for indoor comfort. The EDIFICIO project aims at developing an innovative, adaptive, integrated control systems for optimal energy management and indoor comfort in buildings based on the utilisation of Soft Computing Techniques (SCT), specially Fuzzy Logic (FL), Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs). The EDIFICO project is partly funded by the European Commission DGXII within the frame of the JOULE III Programme
Topics
TNO Identifier
329231
Source title
2nd European Conference on Energy Performance and Indoor Climate in Buildings (EPIC '98) and 3rd International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings, Lyon, France, 19-21 November
Pages
424-430
Files
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