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

Controllers; 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;...

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Main Authors: Homod R.Z., Gaeid K.S., Dawood S.M., Hatami A., Sahari K.S.
Other Authors: 36994633500
Format: Article
Published: Elsevier Ltd 2023
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spelling my.uniten.dspace-253782023-05-29T16:08:43Z Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings Homod R.Z. Gaeid K.S. Dawood S.M. Hatami A. Sahari K.S. 36994633500 35795121600 57216922478 23050261600 57218170038 Controllers; 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 analysis In 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 Ltd Final 2023-05-29T08:08:43Z 2023-05-29T08:08:43Z 2020 Article 10.1016/j.apenergy.2020.115255 2-s2.0-85085284099 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085284099&doi=10.1016%2fj.apenergy.2020.115255&partnerID=40&md5=666ba6088b4fa19842e21f7de591b97b https://irepository.uniten.edu.my/handle/123456789/25378 271 115255 Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Controllers; 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 analysis
author2 36994633500
author_facet 36994633500
Homod R.Z.
Gaeid K.S.
Dawood S.M.
Hatami A.
Sahari K.S.
format Article
author Homod R.Z.
Gaeid K.S.
Dawood S.M.
Hatami A.
Sahari K.S.
spellingShingle Homod R.Z.
Gaeid K.S.
Dawood S.M.
Hatami A.
Sahari K.S.
Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings
author_sort Homod R.Z.
title Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings
title_short Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings
title_full Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings
title_fullStr Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings
title_full_unstemmed Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings
title_sort evaluation of energy-saving potential for optimal time response of hvac control system in smart buildings
publisher Elsevier Ltd
publishDate 2023
_version_ 1806425635501899776
score 13.211869

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