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AuthorHussain, S.
AuthorGabbar, H.A.
AuthorBondarenko, D.
AuthorMusharavati, F.
AuthorPokharel, S.
Available date2016-02-08T14:21:24Z
Publication Date2014-11
Publication NameControl Engineering Practice
CitationHussain, S., Gabbar, H.A., Bondarenko, D., Musharavati, F., Pokharel, S. "Comfort-based fuzzy control optimization for energy conservation in HVAC systems." (2014) Control Engineering Practice, 32, pp. 172-182.
AbstractThe work presented herein illustrates the use of computational intelligence and optimization approaches for improving the fuzzy controller's performance in architectural heating, ventilation, and air conditioning system (HVAC). The primary purpose of the performed research is to find a method to moderate the energy use without compromising the comforts of the inhabitants. The control design used to meet this purpose includes the predicted mean vote (PMV) and predicted percentage dissatisfied (PPD) indices. The software of choice for evaluating PMV and PPD is EnergyPlus. Whereas, for the fuzzy controller and the evolutionary optimization framework, the co-simulation tool with building controls virtual test bed (BCVTB) is used in conjunction with Simulink. The ensuing comparison between EnergyPlus's thermal control of HVAC and our fuzzy approach is the outcome of the present research.
SponsorNPRP Grant# (NPRP 5-209-2-071) from the Qatar National Research Fund (a member of Qatar Foundation).
PublisherElsevier Ltd
SubjectEnergy conservation
SubjectFuzzy logic controllers
SubjectGenetic algorithms
SubjectHVAC systems
TitleComfort-based fuzzy control optimization for energy conservation in HVAC systems
Volume Number32

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