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Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings

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dc.citedby33
dc.contributor.authorHomod R.Z.en_US
dc.contributor.authorGaeid K.S.en_US
dc.contributor.authorDawood S.M.en_US
dc.contributor.authorHatami A.en_US
dc.contributor.authorSahari K.S.en_US
dc.contributor.authorid36994633500en_US
dc.contributor.authorid35795121600en_US
dc.contributor.authorid57216922478en_US
dc.contributor.authorid23050261600en_US
dc.contributor.authorid57218170038en_US
dc.date.accessioned2023-05-29T08:08:43Z
dc.date.available2023-05-29T08:08:43Z
dc.date.issued2020
dc.descriptionControllers; Delay control systems; Energy efficiency; Gradient methods; Intelligent buildings; Membership functions; Optimal systems; Optimization; Response time (computer systems); Semiconductor device manufacture; Thermal comfort; Water craft; Cluster adaptive training; Energy efficient building; Energy saving potential; Fuzzy membership function; Manufacturing industries; Nelder-Mead simplex search; Semiconductor manufacturing process; Temperature and humidities; HVAC; algorithm; building; control system; electronic equipment; energy conservation; manufacturing; residential energy; temporal analysisen_US
dc.description.abstractIn some fields, such as the semiconductor manufacturing process, museum, pharmaceutical, and medicine manufacturing industry, the HVAC system needs a very fast response time to protect products and more energy-efficient buildings than traditional controllers. So, the proposed controller is designed to overcome such problems by using integrated fuzzy PI-PD Mamdani-type (FPIPDM) and cluster adaptive training based on Takagi-Sugeno-Kang (CABTSK) type. The spans of the fuzzy membership functions of the FPIPDM are tuned online by the Nelder-Mead simplex search (NMSS) algorithm to minimize time response, while the CABTSK model is tuned offline and online using a gradient descent (GD) algorithm to enhance the stability of the overall system and reject disturbances. Then, the integration framework is used to enable the concept of time-optimal based on the bang-bang code delegation. In this sense, a selected switch delegates the execution of proper control code to the action processor that provides computational resources to control indoor conditions. The predicted mean vote (PMV) index provides a higher comfort level than the temperature, as it considers six variables related to thermal comfort. The results of the proposed structure show that it improves the overall output accuracy and significantly reduces the response time. Furthermore, it increases the robustness of the indoor conditions and it is quite applicable to the MIMO HVAC systems processes with strong coupling actions between temperature and humidity, large time delay, noise, disturbances, nonlinearities, and imprecise identification model. � 2020 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo115255
dc.identifier.doi10.1016/j.apenergy.2020.115255
dc.identifier.scopus2-s2.0-85085284099
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85085284099&doi=10.1016%2fj.apenergy.2020.115255&partnerID=40&md5=666ba6088b4fa19842e21f7de591b97b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25378
dc.identifier.volume271
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleApplied Energy
dc.titleEvaluation of energy-saving potential for optimal time response of HVAC control system in smart buildingsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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