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

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: IEEE 4th International Conference in Power Engineering Applications (ICPEA).

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Abstract

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

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Daylight-adaptive control, energy efficiency, firefly algorithm, particle swarm optimization, optimization-based control
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis
Depositing User:	Mrs. Sabarina Che Mat
Date Deposited:	14 Jul 2024 02:43
Last Modified:	14 Jul 2024 02:43
URI:	http://eprints.uthm.edu.my/id/eprint/11224

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