Hybrid firely and particle swarm optimisation algorithm for optimal dimming level and energy saving in lecturer’s room

The lighting system is one of the main systems in buildings and contributes to the usage of a considerable amount of energy. Therefore, the daylight harvesting system (DHS) is vital in lighting systems to control and minimise energy consumption from artificial lighting. The main factor for employee...

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Main Author:	Nik Ahmad, Nik Sahidah
Format:	Thesis
Language:	English English English
Published:	2022
Subjects:	T Technology (General)
Online Access:	http://eprints.uthm.edu.my/8286/1/24p%20NIK%20SAHIDAH%20NIK%20AHMAD.pdf http://eprints.uthm.edu.my/8286/2/NIK%20SAHIDAH%20NIK%20AHMAD%20COPYRIGHT%20DECARATION.pdf http://eprints.uthm.edu.my/8286/3/NIK%20SAHIDAH%20NIK%20AHMAD%20WATERMARK.pdf
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spelling	my-uthm-ep.82862023-02-07T03:44:21Z Hybrid firely and particle swarm optimisation algorithm for optimal dimming level and energy saving in lecturer’s room 2022-09 Nik Ahmad, Nik Sahidah T Technology (General) The lighting system is one of the main systems in buildings and contributes to the usage of a considerable amount of energy. Therefore, the daylight harvesting system (DHS) is vital in lighting systems to control and minimise energy consumption from artificial lighting. The main factor for employee comfort in workplaces is the lighting system, where it can provide productivity and reduce stress when employees are working if they are getting enough lighting. There are many types of lighting systems and these systems have different performances in terms of energy efficiency, radiated heat, power consumption and lifetime. The optimisation of artificial lighting is required in order to achieve the optimal dimming level for minimising the energy consumption in buildings. To achieve the optimisation, a good, efficient and fast simulation algorithm is required. Thus, this research proposed a hybrid firefly and particle swarm optimisation (HFPSO) algorithm to solve the energy consumption and visual comfort problem by dimming-level minimisation. In order to identify the optimal dimming level, energy consumption, simulation time and luminaire performance, this research work presents the comparison between light-emitting diode (LED) and fluorescent luminaires using the HFPSO algorithm and using the particle swarm optimisation (PSO) algorithm and the firefly algorithm (FA). The comparison results showed that the superior performance of the HFPSO algorithm for the LED luminaire compared with that for existing luminaires, with significant energy savings of up to 64.2% and fully satisfying the average illuminance according to the Malaysian Standard MS-1525. The average simulation time for the LED luminaire was faster by up to 4.9% compared with the fluorescent luminaire. The average simulation time using the proposed HFPSO algorithm for the LED luminaire was faster by up to 7.6% than that for the fluorescent luminaire, compared with 4% and 3.6% faster using the PSO and FA methods, respectively. Therefore, the LED luminaire had the lowest dimming level and better performance in energy savings compared with those of the fluorescent luminaire by using the proposed method. 2022-09 Thesis http://eprints.uthm.edu.my/8286/ http://eprints.uthm.edu.my/8286/1/24p%20NIK%20SAHIDAH%20NIK%20AHMAD.pdf text en public http://eprints.uthm.edu.my/8286/2/NIK%20SAHIDAH%20NIK%20AHMAD%20COPYRIGHT%20DECARATION.pdf text en staffonly http://eprints.uthm.edu.my/8286/3/NIK%20SAHIDAH%20NIK%20AHMAD%20WATERMARK.pdf text en validuser mphil masters 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	T Technology (General)
spellingShingle	T Technology (General) Nik Ahmad, Nik Sahidah Hybrid firely and particle swarm optimisation algorithm for optimal dimming level and energy saving in lecturer’s room
description	The lighting system is one of the main systems in buildings and contributes to the usage of a considerable amount of energy. Therefore, the daylight harvesting system (DHS) is vital in lighting systems to control and minimise energy consumption from artificial lighting. The main factor for employee comfort in workplaces is the lighting system, where it can provide productivity and reduce stress when employees are working if they are getting enough lighting. There are many types of lighting systems and these systems have different performances in terms of energy efficiency, radiated heat, power consumption and lifetime. The optimisation of artificial lighting is required in order to achieve the optimal dimming level for minimising the energy consumption in buildings. To achieve the optimisation, a good, efficient and fast simulation algorithm is required. Thus, this research proposed a hybrid firefly and particle swarm optimisation (HFPSO) algorithm to solve the energy consumption and visual comfort problem by dimming-level minimisation. In order to identify the optimal dimming level, energy consumption, simulation time and luminaire performance, this research work presents the comparison between light-emitting diode (LED) and fluorescent luminaires using the HFPSO algorithm and using the particle swarm optimisation (PSO) algorithm and the firefly algorithm (FA). The comparison results showed that the superior performance of the HFPSO algorithm for the LED luminaire compared with that for existing luminaires, with significant energy savings of up to 64.2% and fully satisfying the average illuminance according to the Malaysian Standard MS-1525. The average simulation time for the LED luminaire was faster by up to 4.9% compared with the fluorescent luminaire. The average simulation time using the proposed HFPSO algorithm for the LED luminaire was faster by up to 7.6% than that for the fluorescent luminaire, compared with 4% and 3.6% faster using the PSO and FA methods, respectively. Therefore, the LED luminaire had the lowest dimming level and better performance in energy savings compared with those of the fluorescent luminaire by using the proposed method.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Nik Ahmad, Nik Sahidah
author_facet	Nik Ahmad, Nik Sahidah
author_sort	Nik Ahmad, Nik Sahidah
title	Hybrid firely and particle swarm optimisation algorithm for optimal dimming level and energy saving in lecturer’s room
title_short	Hybrid firely and particle swarm optimisation algorithm for optimal dimming level and energy saving in lecturer’s room
title_full	Hybrid firely and particle swarm optimisation algorithm for optimal dimming level and energy saving in lecturer’s room
title_fullStr	Hybrid firely and particle swarm optimisation algorithm for optimal dimming level and energy saving in lecturer’s room
title_full_unstemmed	Hybrid firely and particle swarm optimisation algorithm for optimal dimming level and energy saving in lecturer’s room
title_sort	hybrid firely and particle swarm optimisation algorithm for optimal dimming level and energy saving in lecturer’s room
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2022
url	http://eprints.uthm.edu.my/8286/1/24p%20NIK%20SAHIDAH%20NIK%20AHMAD.pdf http://eprints.uthm.edu.my/8286/2/NIK%20SAHIDAH%20NIK%20AHMAD%20COPYRIGHT%20DECARATION.pdf http://eprints.uthm.edu.my/8286/3/NIK%20SAHIDAH%20NIK%20AHMAD%20WATERMARK.pdf
_version_	1776103318972530688

Hybrid firely and particle swarm optimisation algorithm for optimal dimming level and energy saving in lecturer’s room

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