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Optimization of a fuzzy controller using genetic algorithms for the indoor comfort control in buildings

Kolokotsa Dionysia, Stavrakakis Georgios, Kalaitzakis Kostas, Pouliezos Anastasios, Loukis Euripidis

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URI: http://purl.tuc.gr/dl/dias/CF242025-AF95-4CE2-B5A9-9F254C0E6757
Year 2001
Type of Item Conference Full Paper
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Bibliographic Citation D. Kolokotsa , G. Stavrakakis , K. Kalaitzakis , A. Pouliezos ,E. Loukis , "Optimization of a Fuzzy Controller using Genetic Algorithms for the Indoor Comfort Control in Buildings",presented at Proc. IFDICON 2001 Conf., Santorini, Greece, June.
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Summary

The aim of this paper is the application of fuzzy control techniques coupled with Genetic Algorithms for preservation ofair quality, thermal and visual comfort for buildings occupants. A fuzzy controller is developed for the control of theenvironmental parameters at the building zone level. The occupants’ preferences are monitored via a smart card unit.Genetic Algorithm optimization techniques are applied to shift the membership functions of the fuzzy controller inorder to satisfy the occupants preferences while minimizing energy consumption. Simulations usingMATLAB/SIMLULINK demonstrate that energy conservation reaches 22%.

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