Thermal comfort based fuzzy logic control

Gouda, M. M., Danaher, Sean and Underwood, Chris (2001) Thermal comfort based fuzzy logic control. Building Services Engineering Research and Technology, 22 (4). pp. 237-253. ISSN 0143-6244

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Gouda MM, Danaher S, Underwood CP - Thermal comfort based fuzzy logic controller - article.pdf - Accepted Version

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Most heating, ventilation and air conditioning (HVAC) control systems are considered as temperature control problems. In this work, the predicted mean vote (PMV) is used to control the indoor temperature of a space by setting it at a point where the PMV index becomes zero and the predicted percentage of persons dissatisfied (PPD) achieves a maximum threshold of 5%. This is achieved through the use of a fuzzy logic controller that takes into account a range of human comfort criteria in the formulation of the control action that should be applied to the heating system to bring the space to comfort conditions. The resulting controller is free of the set up and tuning problems that hinder conventional HVAC controllers. Simulation results show that the proposed control strategy makes it possible to maximize the indoor thermal comfort and, correspondingly, a reduction in energy use of 20% was obtained for a typical 7-day winter period when compared with conventional control.

Item Type: Article
Additional Information: This paper was awarded the Napier Shaw Bronze Medal, 2004, for the best technically innovative idea. This was the first time that thermal comfort was used rather than physical parameters to control a space heating system. This was collaborative work with the school of the Built Environment demonstrating the cross-disciplinary approach.
Uncontrolled Keywords: Heating, Fuzzy logic
Subjects: H200 Civil Engineering
H700 Production and Manufacturing Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: EPrint Services
Date Deposited: 20 Nov 2008 10:35
Last Modified: 17 Dec 2023 11:45

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