Intelligent lighting control system for energy savings in office building

Wagiman, Khairul Rijal and Abdullah, Mohd Noor (2018) Intelligent lighting control system for energy savings in office building. Indonesian Journal of Electrical Engineering and Computer Science, 11 (1). pp. 195-202. ISSN 2502-4752

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Abstract

Lighting system is a crucial sub-system and consumes substantial electricity energy in the buildings. This paper proposes an intelligent lighting control system using artificial neural network (ANN). The minimization of dimming levels of luminaires has been considered as an objective function of the controller. Moreover, the light sensor field of view is also taken into consideration in objective function formulation. The proposed ANN controller has been tested on an actual office room of the Department of Mechanical Technology, Institute of Industrial Training, Selandar, Melaka, Malaysia. The simulation has been carried out using DIALux simulation lighting software. Based on the results, the proposed controller showed great performance in terms of adaptive less light sensor data and achieving dimming levels target that complies the European Standard EN12464-1. Furthermore, it can save energy up to 34%.

Item Type:	Article
Uncontrolled Keywords:	Artificial neural network; energy savings; lighting control system; Llghting retrofit
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK4125-4399 Electric lighting
Depositing User:	Mr. Abdul Rahim Mat Radzuan
Date Deposited:	21 Jun 2022 02:07
Last Modified:	21 Jun 2022 02:07
URI:	http://eprints.uthm.edu.my/id/eprint/7200

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