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Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm

Lighting in commercial buildings consumes a substantial amount of energy. Therefore, this paper developed particle swarm optimization (PSO) and firefly algorithm (FA) as control techniques for lighting systems to improve energy efficiency and satisfy occupantsꞌ visual comfort in an indoor envir...

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Main Authors: Wagiman, Khairul Rijal, Md Adnan, Mohd Faiz, Hussin, Imran, Md Nor, Mohd Hairwan, Din, Asri
Format: Conference or Workshop Item
Language:English
Published: 2024
Subjects:
TK4125-4399 Electric lighting
Online Access:http://eprints.uthm.edu.my/11330/1/P16657_e2e80e43bf6ed5c0beae0b4951238f64%201.pdf
http://eprints.uthm.edu.my/11330/
http://10.1109/ICPEA60617.2024.10498533
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spelling my.uthm.eprints.113302024-07-14T02:56:01Z http://eprints.uthm.edu.my/11330/ Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm Wagiman, Khairul Rijal Md Adnan, Mohd Faiz Hussin, Imran Md Nor, Mohd Hairwan Din, Asri TK4125-4399 Electric lighting Lighting in commercial buildings consumes a substantial amount of energy. Therefore, this paper developed particle swarm optimization (PSO) and firefly algorithm (FA) as control techniques for lighting systems to improve energy efficiency and satisfy occupantsꞌ visual comfort in an indoor environment. An office room was considered to test the performance of the PSO and FA techniques. The proposed methods showed superior performance in minimizing the cost of energy consumption by more than 60% while satisfying illuminance-based metrics mentioned by the European Standard EN 12464-1. Based on the comparative result, PSO outperformed FA by 3% in energy savings. Due to its performance, the proposed PSO method can be utilized for other types of buildings 2024-03-04 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/11330/1/P16657_e2e80e43bf6ed5c0beae0b4951238f64%201.pdf Wagiman, Khairul Rijal and Md Adnan, Mohd Faiz and Hussin, Imran and Md Nor, Mohd Hairwan and Din, Asri (2024) Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm. In: 2024 IEEE 4TH INTERNATIONAL CONFERENCE IN POWER ENGINEERING APPLICATIONS (ICPEA). http://10.1109/ICPEA60617.2024.10498533
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic TK4125-4399 Electric lighting
spellingShingle TK4125-4399 Electric lighting
Wagiman, Khairul Rijal
Md Adnan, Mohd Faiz
Hussin, Imran
Md Nor, Mohd Hairwan
Din, Asri
Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm
description Lighting in commercial buildings consumes a substantial amount of energy. Therefore, this paper developed particle swarm optimization (PSO) and firefly algorithm (FA) as control techniques for lighting systems to improve energy efficiency and satisfy occupantsꞌ visual comfort in an indoor environment. An office room was considered to test the performance of the PSO and FA techniques. The proposed methods showed superior performance in minimizing the cost of energy consumption by more than 60% while satisfying illuminance-based metrics mentioned by the European Standard EN 12464-1. Based on the comparative result, PSO outperformed FA by 3% in energy savings. Due to its performance, the proposed PSO method can be utilized for other types of buildings
format Conference or Workshop Item
author Wagiman, Khairul Rijal
Md Adnan, Mohd Faiz
Hussin, Imran
Md Nor, Mohd Hairwan
Din, Asri
author_facet Wagiman, Khairul Rijal
Md Adnan, Mohd Faiz
Hussin, Imran
Md Nor, Mohd Hairwan
Din, Asri
author_sort Wagiman, Khairul Rijal
title Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm
title_short Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm
title_full Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm
title_fullStr Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm
title_full_unstemmed Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm
title_sort daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm
publishDate 2024
url http://eprints.uthm.edu.my/11330/1/P16657_e2e80e43bf6ed5c0beae0b4951238f64%201.pdf
http://eprints.uthm.edu.my/11330/
http://10.1109/ICPEA60617.2024.10498533
_version_ 1805890684372123648
score 13.211869

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