An improved method for university building’s energy efficiency index using cluster approach

Energy consumption in commercial buildings is a main concern due to the increasing trend in energy consumption globally. For this reason, energy efficiency in buildings has now become an important subject of energy policies at all levels. Many methods have been proposed to provide an effective way f...

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Main Author:	Abu Bakar, Nur Najihah
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/54626/1/NurNajihahMFKE2015.pdf
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id	my-utm-ep.54626
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spelling	my-utm-ep.546262020-10-21T01:02:31Z An improved method for university building’s energy efficiency index using cluster approach 2015-03 Abu Bakar, Nur Najihah TK Electrical engineering. Electronics Nuclear engineering Energy consumption in commercial buildings is a main concern due to the increasing trend in energy consumption globally. For this reason, energy efficiency in buildings has now become an important subject of energy policies at all levels. Many methods have been proposed to provide an effective way for regularly monitoring the performance of energy consumption as well as to reduce energy usage. Energy Efficiency Index (EEI) is one of the energy consumption indicators that is widely used in the building sector for measuring energy performance. This index is generally measured based on the energy used per unit of building floor area. A low building EEI indicates a large energy saving potential for the building. The current method of determining EEI based on the floor area is not able to identify the optimum level of energy usage since it does not consider the number of occupants and effective time usage in the energy performance evaluation. This thesis proposes a new mathematical algorithm for the determination of a building’s EEI to accurately identify the energy performance of the building. Unlike the existing method for determining EEI, the proposed algorithm tracks the building performance by clustering the building according to room activities. The proposed algorithm is incorporated with a shifting method, retrofitting strategy and human behavioural practice to justify the parameters involved in the EEI configuration. A case study was carried out using a university building and results show that two elements with significant influence on EEI performance are the number of occupants in the room and operation hours. The usage of rooms with an appropriate number of occupants decreased the EEI to 52.66% averagely. In addition, by considering the effective time of load usage, the reduction of EEI occurred up to 33.3%. The proposed algorithm does not only provide an effective energy performance index, but is also able to track the optimum level of energy usage. 2015-03 Thesis http://eprints.utm.my/id/eprint/54626/ http://eprints.utm.my/id/eprint/54626/1/NurNajihahMFKE2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:86121 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 Abu Bakar, Nur Najihah An improved method for university building’s energy efficiency index using cluster approach
description	Energy consumption in commercial buildings is a main concern due to the increasing trend in energy consumption globally. For this reason, energy efficiency in buildings has now become an important subject of energy policies at all levels. Many methods have been proposed to provide an effective way for regularly monitoring the performance of energy consumption as well as to reduce energy usage. Energy Efficiency Index (EEI) is one of the energy consumption indicators that is widely used in the building sector for measuring energy performance. This index is generally measured based on the energy used per unit of building floor area. A low building EEI indicates a large energy saving potential for the building. The current method of determining EEI based on the floor area is not able to identify the optimum level of energy usage since it does not consider the number of occupants and effective time usage in the energy performance evaluation. This thesis proposes a new mathematical algorithm for the determination of a building’s EEI to accurately identify the energy performance of the building. Unlike the existing method for determining EEI, the proposed algorithm tracks the building performance by clustering the building according to room activities. The proposed algorithm is incorporated with a shifting method, retrofitting strategy and human behavioural practice to justify the parameters involved in the EEI configuration. A case study was carried out using a university building and results show that two elements with significant influence on EEI performance are the number of occupants in the room and operation hours. The usage of rooms with an appropriate number of occupants decreased the EEI to 52.66% averagely. In addition, by considering the effective time of load usage, the reduction of EEI occurred up to 33.3%. The proposed algorithm does not only provide an effective energy performance index, but is also able to track the optimum level of energy usage.
format	Thesis
qualification_level	Master's degree
author	Abu Bakar, Nur Najihah
author_facet	Abu Bakar, Nur Najihah
author_sort	Abu Bakar, Nur Najihah
title	An improved method for university building’s energy efficiency index using cluster approach
title_short	An improved method for university building’s energy efficiency index using cluster approach
title_full	An improved method for university building’s energy efficiency index using cluster approach
title_fullStr	An improved method for university building’s energy efficiency index using cluster approach
title_full_unstemmed	An improved method for university building’s energy efficiency index using cluster approach
title_sort	improved method for university building’s energy efficiency index using cluster approach
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/54626/1/NurNajihahMFKE2015.pdf
_version_	1747817691430780928

An improved method for university building’s energy efficiency index using cluster approach

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