Daylight adaptive optimal lighting system control strategies for energy savings and visual comfort in commercial buildings

Artificial lighting of commercial buildings in Malaysia consumes 21% of the total electrical energy. Therefore, reducing the energy is required to achieve sustainable buildings (i.e., higher energy efficiency and visual comfort), by implementing optimal light sensor placement method and optimi...

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Main Author:	Wagiman, Khairul Rijal
Format:	Thesis
Language:	English English English
Published:	2020
Subjects:	TK452-454.4 Electric apparatus and materials Electric circuits Electric networks
Online Access:	http://eprints.uthm.edu.my/4124/1/24p%20KHAIRUL%20RIJAL%20WAGIMAN.pdf http://eprints.uthm.edu.my/4124/2/KHAIRUL%20RIJAL%20WAGIMAN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/4124/3/KHAIRUL%20RIJAL%20WAGIMAN%20WATERMARK.pdf
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spelling	my-uthm-ep.41242022-02-03T02:26:20Z Daylight adaptive optimal lighting system control strategies for energy savings and visual comfort in commercial buildings 2020-11 Wagiman, Khairul Rijal TK452-454.4 Electric apparatus and materials. Electric circuits. Electric networks Artificial lighting of commercial buildings in Malaysia consumes 21% of the total electrical energy. Therefore, reducing the energy is required to achieve sustainable buildings (i.e., higher energy efficiency and visual comfort), by implementing optimal light sensor placement method and optimisation-based control strategy. However, in recent works related to light sensor placement, energy performance and illuminance uniformity (Uo) are not considered, and the results did not provide the optimal number of sensors to be employed. To optimise power consumption (PC) and visual comfort simultaneously through the optimisation-based control strategy, the previous work developed a visual comfort model to represent Uo. However, the model did not consider daylight and the results of Uo need further improvement. This research proposes: (1) a new optimal light sensor placement method (OLSPM) by using combined particle swarm optimisation (PSO) and fuzzy logic controller (FLC) denoted as OLSPM-PSOFLC, and (2) a new visual comfort metric called illuminance uniformity deviation index (IUDI) and incorporated with multi-objective PSO (MOPSO) for solving energy consumption and visual comfort problem. The OLSPM�PSOFLC is developed to determine the optimal number and position of light sensors by considering PC while satisfying average illuminance level (Eav) and Uo. To ensure both PC and Uo in the room are always at the optimum levels, the IUDI with MOPSO is developed. Before the proposed methods are implemented, retrofitting lighting system is implemented first to determine the best lamp technology to be installed in terms of technical and economic metrics. An actual office room is considered for carrying out the proposed methods. The comparative results showed that the OLSPM�PSOFLC significantly reduced the number of sensors, energy consumption, carbon dioxide emission, payback period, and life cycle cost were 66%, 23%, 23%, and 30%, respectively, compared to the multi-sensor. Meanwhile, based on the comparative study of the IUDI and CVRMSE, the IUDI showed superior performance with 6% and 27% improvement of Uo and energy savings, respectively. Based on their superiority, the newly developed methods can be potentially implemented for all types of rooms and are very useful methodologies towards sustainable commercial buildings. 2020-11 Thesis http://eprints.uthm.edu.my/4124/ http://eprints.uthm.edu.my/4124/1/24p%20KHAIRUL%20RIJAL%20WAGIMAN.pdf text en public http://eprints.uthm.edu.my/4124/2/KHAIRUL%20RIJAL%20WAGIMAN%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/4124/3/KHAIRUL%20RIJAL%20WAGIMAN%20WATERMARK.pdf text en validuser phd doctoral Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TK452-454.4 Electric apparatus and materials Electric circuits Electric networks
spellingShingle	TK452-454.4 Electric apparatus and materials Electric circuits Electric networks Wagiman, Khairul Rijal Daylight adaptive optimal lighting system control strategies for energy savings and visual comfort in commercial buildings
description	Artificial lighting of commercial buildings in Malaysia consumes 21% of the total electrical energy. Therefore, reducing the energy is required to achieve sustainable buildings (i.e., higher energy efficiency and visual comfort), by implementing optimal light sensor placement method and optimisation-based control strategy. However, in recent works related to light sensor placement, energy performance and illuminance uniformity (Uo) are not considered, and the results did not provide the optimal number of sensors to be employed. To optimise power consumption (PC) and visual comfort simultaneously through the optimisation-based control strategy, the previous work developed a visual comfort model to represent Uo. However, the model did not consider daylight and the results of Uo need further improvement. This research proposes: (1) a new optimal light sensor placement method (OLSPM) by using combined particle swarm optimisation (PSO) and fuzzy logic controller (FLC) denoted as OLSPM-PSOFLC, and (2) a new visual comfort metric called illuminance uniformity deviation index (IUDI) and incorporated with multi-objective PSO (MOPSO) for solving energy consumption and visual comfort problem. The OLSPM�PSOFLC is developed to determine the optimal number and position of light sensors by considering PC while satisfying average illuminance level (Eav) and Uo. To ensure both PC and Uo in the room are always at the optimum levels, the IUDI with MOPSO is developed. Before the proposed methods are implemented, retrofitting lighting system is implemented first to determine the best lamp technology to be installed in terms of technical and economic metrics. An actual office room is considered for carrying out the proposed methods. The comparative results showed that the OLSPM�PSOFLC significantly reduced the number of sensors, energy consumption, carbon dioxide emission, payback period, and life cycle cost were 66%, 23%, 23%, and 30%, respectively, compared to the multi-sensor. Meanwhile, based on the comparative study of the IUDI and CVRMSE, the IUDI showed superior performance with 6% and 27% improvement of Uo and energy savings, respectively. Based on their superiority, the newly developed methods can be potentially implemented for all types of rooms and are very useful methodologies towards sustainable commercial buildings.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Wagiman, Khairul Rijal
author_facet	Wagiman, Khairul Rijal
author_sort	Wagiman, Khairul Rijal
title	Daylight adaptive optimal lighting system control strategies for energy savings and visual comfort in commercial buildings
title_short	Daylight adaptive optimal lighting system control strategies for energy savings and visual comfort in commercial buildings
title_full	Daylight adaptive optimal lighting system control strategies for energy savings and visual comfort in commercial buildings
title_fullStr	Daylight adaptive optimal lighting system control strategies for energy savings and visual comfort in commercial buildings
title_full_unstemmed	Daylight adaptive optimal lighting system control strategies for energy savings and visual comfort in commercial buildings
title_sort	daylight adaptive optimal lighting system control strategies for energy savings and visual comfort in commercial buildings
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2020
url	http://eprints.uthm.edu.my/4124/1/24p%20KHAIRUL%20RIJAL%20WAGIMAN.pdf http://eprints.uthm.edu.my/4124/2/KHAIRUL%20RIJAL%20WAGIMAN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/4124/3/KHAIRUL%20RIJAL%20WAGIMAN%20WATERMARK.pdf
_version_	1747831050192551936

Daylight adaptive optimal lighting system control strategies for energy savings and visual comfort in commercial buildings

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