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: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/11687/1/P16717_671d16e8b028d3ace0991ad1a4cb5720%208.pdf http://eprints.uthm.edu.my/11687/ http://10.1109/ICPEA60617.2024.10498533 |
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| Summary: | 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 |
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