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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
Identifierhttp://dx.doi.org/10.1016/j.conengprac.2014.08.007
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.
ISSN0967-0661
URIhttp://hdl.handle.net/10576/4115
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).
Languageen
PublisherElsevier Ltd
SubjectCo-simulations
SubjectEnergy conservation
SubjectFuzzy logic controllers
SubjectGenetic algorithms
SubjectHVAC systems
TitleComfort-based fuzzy control optimization for energy conservation in HVAC systems
TypeArticle
Pagination172-182
Volume Number32


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