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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Format: | Thesis |
Language: | English |
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2012
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Online Access: | http://eprints.utm.my/33375/5/HashemZeinaliBoroujeniMFKE2012.pdf |
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author | Boroujeni, Hashem Zeeinali |
author_facet | Boroujeni, Hashem Zeeinali |
author_sort | Boroujeni, Hashem Zeeinali |
collection | ePrints |
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. |
first_indexed | 2024-03-05T18:53:47Z |
format | Thesis |
id | utm.eprints-33375 |
institution | Universiti Teknologi Malaysia - ePrints |
language | English |
last_indexed | 2024-03-05T18:53:47Z |
publishDate | 2012 |
record_format | dspace |
spelling | utm.eprints-333752017-09-22T13:40:19Z http://eprints.utm.my/33375/ Modeling and optimization of power consumption towards energy saving 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 NonPeerReviewed application/pdf en http://eprints.utm.my/33375/5/HashemZeinaliBoroujeniMFKE2012.pdf Boroujeni, Hashem Zeeinali (2012) Modeling and optimization of power consumption towards energy saving. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. |
spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Boroujeni, Hashem Zeeinali Modeling and optimization of power consumption towards energy saving |
title | 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_short | Modeling and optimization of power consumption towards energy saving |
title_sort | modeling and optimization of power consumption towards energy saving |
topic | TK Electrical engineering. Electronics Nuclear engineering |
url | http://eprints.utm.my/33375/5/HashemZeinaliBoroujeniMFKE2012.pdf |
work_keys_str_mv | AT boroujenihashemzeeinali modelingandoptimizationofpowerconsumptiontowardsenergysaving |