Multi-objectives optimization of power consumption of a building towards energy saving

The sources of energy are limited but the need is growing and electricity is one of the highest operational costs of a building. The high cost is mainly contributed by the electrical energy consumption of the air-conditioning and lighting systems. Optimizing the power consumption of a building witho...

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Main Author:	Katutu, Mhd. Iswandi
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/41685/5/MhdIswandiKatutuMFKE2013.pdf
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id	my-utm-ep.41685
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spelling	my-utm-ep.416852017-07-16T05:10:04Z Multi-objectives optimization of power consumption of a building towards energy saving 2013-06 Katutu, Mhd. Iswandi TK Electrical engineering. Electronics Nuclear engineering The sources of energy are limited but the need is growing and electricity is one of the highest operational costs of a building. The high cost is mainly contributed by the electrical energy consumption of the air-conditioning and lighting systems. Optimizing the power consumption of a building without sacrificing the occupants’ comfort is extremely important as this will reduce electricity bills while maintaining the productivity level of the building’s occupants. This work adopts the use of Genetic Algorithm (GA), for solving the multi-objective optimization problem of the power consumption and comfort in a building, focusing on the room temperature and illumination. The case study involves the use of one air conditioning unit and 12 units of 36-watt fluorescent lamps in a 5-m2 room with the objective of minimizing the power consumption and maximizing comfort. With the application of the GA, the demand requirements have been satisfied. Comparisons between the use of the optimization technique and without the optimization technique have been carried out, both in simulation and real-time experiments. The results show that the GA optimization produces a 23.85% reduction in terms of current (amp), 24.68% reduction in terms of power (w), 23.09% reduction kWh, and 22.81 % reduction in terms of the electric billing cost. 2013-06 Thesis http://eprints.utm.my/id/eprint/41685/ http://eprints.utm.my/id/eprint/41685/5/MhdIswandiKatutuMFKE2013.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Katutu, Mhd. Iswandi Multi-objectives optimization of power consumption of a building towards energy saving
description	The sources of energy are limited but the need is growing and electricity is one of the highest operational costs of a building. The high cost is mainly contributed by the electrical energy consumption of the air-conditioning and lighting systems. Optimizing the power consumption of a building without sacrificing the occupants’ comfort is extremely important as this will reduce electricity bills while maintaining the productivity level of the building’s occupants. This work adopts the use of Genetic Algorithm (GA), for solving the multi-objective optimization problem of the power consumption and comfort in a building, focusing on the room temperature and illumination. The case study involves the use of one air conditioning unit and 12 units of 36-watt fluorescent lamps in a 5-m2 room with the objective of minimizing the power consumption and maximizing comfort. With the application of the GA, the demand requirements have been satisfied. Comparisons between the use of the optimization technique and without the optimization technique have been carried out, both in simulation and real-time experiments. The results show that the GA optimization produces a 23.85% reduction in terms of current (amp), 24.68% reduction in terms of power (w), 23.09% reduction kWh, and 22.81 % reduction in terms of the electric billing cost.
format	Thesis
qualification_level	Master's degree
author	Katutu, Mhd. Iswandi
author_facet	Katutu, Mhd. Iswandi
author_sort	Katutu, Mhd. Iswandi
title	Multi-objectives optimization of power consumption of a building towards energy saving
title_short	Multi-objectives optimization of power consumption of a building towards energy saving
title_full	Multi-objectives optimization of power consumption of a building towards energy saving
title_fullStr	Multi-objectives optimization of power consumption of a building towards energy saving
title_full_unstemmed	Multi-objectives optimization of power consumption of a building towards energy saving
title_sort	multi-objectives optimization of power consumption of a building towards energy saving
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	http://eprints.utm.my/id/eprint/41685/5/MhdIswandiKatutuMFKE2013.pdf
_version_	1747816596745748480

Multi-objectives optimization of power consumption of a building towards energy saving

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