Optimization of Air Handler Controllers for Comfort Level in Smart Buildings Using Nature Inspired Algorithm

This research seeks to improve the temperature control of AHU in building sub-levels using optimization algorithms. Specifically, the study applies the FA and PSO algorithms to optimize the PID control of AHU’s temperature. The study addresses the issue of temperature control in building sub-levels,...

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Published in:Energies
Main Author: Aziz M.; Kadir K.; Azman H.K.; Vijyakumar K.
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180720106&doi=10.3390%2fen16248064&partnerID=40&md5=7ea2e59674714cef8eea4319812e1df1
id 2-s2.0-85180720106
spelling 2-s2.0-85180720106
Aziz M.; Kadir K.; Azman H.K.; Vijyakumar K.
Optimization of Air Handler Controllers for Comfort Level in Smart Buildings Using Nature Inspired Algorithm
2023
Energies
16
24
10.3390/en16248064
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180720106&doi=10.3390%2fen16248064&partnerID=40&md5=7ea2e59674714cef8eea4319812e1df1
This research seeks to improve the temperature control of AHU in building sub-levels using optimization algorithms. Specifically, the study applies the FA and PSO algorithms to optimize the PID control of AHU’s temperature. The study addresses the issue of temperature control in building sub-levels, which is a common challenge in HVAC systems. The study uses optimization algorithms and a nonlinear model to improve temperature control and reduce fluctuations in temperature from the desired setting. Additionally, a NL-ARX algorithm is utilized to create a nonlinear model based on the thermal dynamics and energy behavioral patterns of ACMV cooling systems. The study evaluates the performance of three controllers—PID, FA-PID, and PSO-PID—based on ITSE as a performance index. The study compares the performance of these controllers to achieve the desired temperature setting, and it analyses the influence of temperature regulation on occupant comfort levels. In this study, we compare different controllers using ITSE as a performance indicator. This shows how well different optimization algorithms work at setting the right temperature. The research gap is the lack of efficient temperature control solutions in building sub-levels that can optimize occupant comfort and energy efficiency. The experimental findings confirm that PSO-PID outperforms conventional PID and FA-PID optimization in terms of achieving the goal objective via computational complexity. Overall, this study’s focus is to explore and compare different optimization algorithms to improve temperature control and occupant comfort in building sub-levels. © 2023 by the authors.
Multidisciplinary Digital Publishing Institute (MDPI)
19961073
English
Article
All Open Access; Gold Open Access
author Aziz M.; Kadir K.; Azman H.K.; Vijyakumar K.
spellingShingle Aziz M.; Kadir K.; Azman H.K.; Vijyakumar K.
Optimization of Air Handler Controllers for Comfort Level in Smart Buildings Using Nature Inspired Algorithm
author_facet Aziz M.; Kadir K.; Azman H.K.; Vijyakumar K.
author_sort Aziz M.; Kadir K.; Azman H.K.; Vijyakumar K.
title Optimization of Air Handler Controllers for Comfort Level in Smart Buildings Using Nature Inspired Algorithm
title_short Optimization of Air Handler Controllers for Comfort Level in Smart Buildings Using Nature Inspired Algorithm
title_full Optimization of Air Handler Controllers for Comfort Level in Smart Buildings Using Nature Inspired Algorithm
title_fullStr Optimization of Air Handler Controllers for Comfort Level in Smart Buildings Using Nature Inspired Algorithm
title_full_unstemmed Optimization of Air Handler Controllers for Comfort Level in Smart Buildings Using Nature Inspired Algorithm
title_sort Optimization of Air Handler Controllers for Comfort Level in Smart Buildings Using Nature Inspired Algorithm
publishDate 2023
container_title Energies
container_volume 16
container_issue 24
doi_str_mv 10.3390/en16248064
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180720106&doi=10.3390%2fen16248064&partnerID=40&md5=7ea2e59674714cef8eea4319812e1df1
description This research seeks to improve the temperature control of AHU in building sub-levels using optimization algorithms. Specifically, the study applies the FA and PSO algorithms to optimize the PID control of AHU’s temperature. The study addresses the issue of temperature control in building sub-levels, which is a common challenge in HVAC systems. The study uses optimization algorithms and a nonlinear model to improve temperature control and reduce fluctuations in temperature from the desired setting. Additionally, a NL-ARX algorithm is utilized to create a nonlinear model based on the thermal dynamics and energy behavioral patterns of ACMV cooling systems. The study evaluates the performance of three controllers—PID, FA-PID, and PSO-PID—based on ITSE as a performance index. The study compares the performance of these controllers to achieve the desired temperature setting, and it analyses the influence of temperature regulation on occupant comfort levels. In this study, we compare different controllers using ITSE as a performance indicator. This shows how well different optimization algorithms work at setting the right temperature. The research gap is the lack of efficient temperature control solutions in building sub-levels that can optimize occupant comfort and energy efficiency. The experimental findings confirm that PSO-PID outperforms conventional PID and FA-PID optimization in terms of achieving the goal objective via computational complexity. Overall, this study’s focus is to explore and compare different optimization algorithms to improve temperature control and occupant comfort in building sub-levels. © 2023 by the authors.
publisher Multidisciplinary Digital Publishing Institute (MDPI)
issn 19961073
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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