Modeling and optimization of power consumption towards energy saving

In this project, the building’s electrical equipment by using fuzzy logic rules are modeled and the appropriate fuzzy logic controller in order to reduce consumption of building’s electrical energy is defined. Buildings are the largest consumers of energy worldwide including new residential and indu...

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Main Author: Boroujeni, Hashem Zeeinali
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.utm.my/id/eprint/33375/5/HashemZeinaliBoroujeniMFKE2012.pdf
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spelling my-utm-ep.333752017-09-22T13:40:19Z Modeling and optimization of power consumption towards energy saving 2012-06 Boroujeni, Hashem Zeeinali TK Electrical engineering. Electronics Nuclear engineering In this project, the building’s electrical equipment by using fuzzy logic rules are modeled and the appropriate fuzzy logic controller in order to reduce consumption of building’s electrical energy is defined. Buildings are the largest consumers of energy worldwide including new residential and industrial buildings. The purpose of using fuzzy logic rules for building’s electrical equipment (air conditioning system, lighting and blinds) is to save energy in the whole building while keeping occupants comfort based on the comfort zone. Most of the intelligence controller use the multiple controller consist of lighting controller, HVAC and blind controller in order to control the building power consumption or create the math model for just one part of building, but in this way, by applying fuzzy rules to the plant, there is no need to have any exact mathematical model of building and finally designed the fuzzy controller to save power consumption. 2012-06 Thesis http://eprints.utm.my/id/eprint/33375/ http://eprints.utm.my/id/eprint/33375/5/HashemZeinaliBoroujeniMFKE2012.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
Boroujeni, Hashem Zeeinali
Modeling and optimization of power consumption towards energy saving
description In this project, the building’s electrical equipment by using fuzzy logic rules are modeled and the appropriate fuzzy logic controller in order to reduce consumption of building’s electrical energy is defined. Buildings are the largest consumers of energy worldwide including new residential and industrial buildings. The purpose of using fuzzy logic rules for building’s electrical equipment (air conditioning system, lighting and blinds) is to save energy in the whole building while keeping occupants comfort based on the comfort zone. Most of the intelligence controller use the multiple controller consist of lighting controller, HVAC and blind controller in order to control the building power consumption or create the math model for just one part of building, but in this way, by applying fuzzy rules to the plant, there is no need to have any exact mathematical model of building and finally designed the fuzzy controller to save power consumption.
format Thesis
qualification_level Master's degree
author Boroujeni, Hashem Zeeinali
author_facet Boroujeni, Hashem Zeeinali
author_sort Boroujeni, Hashem Zeeinali
title Modeling and optimization of power consumption towards energy saving
title_short Modeling and optimization of power consumption towards energy saving
title_full Modeling and optimization of power consumption towards energy saving
title_fullStr Modeling and optimization of power consumption towards energy saving
title_full_unstemmed Modeling and optimization of power consumption towards energy saving
title_sort modeling and optimization of power consumption towards energy saving
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2012
url http://eprints.utm.my/id/eprint/33375/5/HashemZeinaliBoroujeniMFKE2012.pdf
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