Prediction of power generation of small scale vertical axis wind turbine using fuzzy logic

Renewable energy from the wind turbine has been focused for the alternative source of power generation due to the following advances of the of the wind turbine. Firstly, the wind turbine is highly efficient and eco-friendly. Secondly, the turbine has the ability to response for the changeable power...

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Main Authors:	Hossain, Altab, Rahman, Mohammed Ataur, Rahman, Md. Mozasser, Hasan, SK., Hossen, Md. Jakir
Format:	Article
Language:	English
Published:	2009
Subjects:	TL500 Aeronautics
Online Access:	http://irep.iium.edu.my/1459/ http://irep.iium.edu.my/1459/ http://irep.iium.edu.my/1459/ http://irep.iium.edu.my/1459/1/Paper-I._J._Urban_and_Env.Engg.pdf

id	iium-1459
recordtype	eprints
spelling	iium-14592011-09-12T04:28:03Z http://irep.iium.edu.my/1459/ Prediction of power generation of small scale vertical axis wind turbine using fuzzy logic Hossain, Altab Rahman, Mohammed Ataur Rahman, Md. Mozasser Hasan, SK. Hossen, Md. Jakir TL500 Aeronautics Renewable energy from the wind turbine has been focused for the alternative source of power generation due to the following advances of the of the wind turbine. Firstly, the wind turbine is highly efficient and eco-friendly. Secondly, the turbine has the ability to response for the changeable power generation based on the wind velocity and structural framework. However, the competitive efficiency of the wind turbine is necessary to successfully alternate the conventional power sources. The most relevant factor which affects the overall efficiency of the wind turbine is the wind velocity and the relative turbine dimensions. Artificial intelligence systems are widely used technology that can learn from examples and are able to deal with non-linear problems. Compared with traditional approach, fuzzy logic approach is more efficient for the representation, manipulation and utilization. Therefore, the primary purpose of this work was to investigate the relationship between wind turbine power generation and wind velocity, and to illustrate how fuzzy expert system might play an important role in prediction of wind turbine power generation. The main purpose of the measurement over the small scaled prototype vertical axis wind turbine for the wind velocity is to predict the performance of full scaled H-type vertical axis wind turbine. Prediction of power generation at the different wind velocities has been tested at the Thermal Laboratory of Faculty of Engineering, Universiti Industri Selangor (UNISEL) and results concerning the daily prediction have been obtained. 2009-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/1459/1/Paper-I._J._Urban_and_Env.Engg.pdf Hossain, Altab and Rahman, Mohammed Ataur and Rahman, Md. Mozasser and Hasan, SK. and Hossen, Md. Jakir (2009) Prediction of power generation of small scale vertical axis wind turbine using fuzzy logic. Journal of Urban and Emvironmental Engineering, 3 (2). pp. 43-51. ISSN 1982-3932 http://periodicos.ufpb.br/ojs2/index.php/juee/index 10.4090/juee.2009.v3n1.043051
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TL500 Aeronautics
spellingShingle	TL500 Aeronautics Hossain, Altab Rahman, Mohammed Ataur Rahman, Md. Mozasser Hasan, SK. Hossen, Md. Jakir Prediction of power generation of small scale vertical axis wind turbine using fuzzy logic
description	Renewable energy from the wind turbine has been focused for the alternative source of power generation due to the following advances of the of the wind turbine. Firstly, the wind turbine is highly efficient and eco-friendly. Secondly, the turbine has the ability to response for the changeable power generation based on the wind velocity and structural framework. However, the competitive efficiency of the wind turbine is necessary to successfully alternate the conventional power sources. The most relevant factor which affects the overall efficiency of the wind turbine is the wind velocity and the relative turbine dimensions. Artificial intelligence systems are widely used technology that can learn from examples and are able to deal with non-linear problems. Compared with traditional approach, fuzzy logic approach is more efficient for the representation, manipulation and utilization. Therefore, the primary purpose of this work was to investigate the relationship between wind turbine power generation and wind velocity, and to illustrate how fuzzy expert system might play an important role in prediction of wind turbine power generation. The main purpose of the measurement over the small scaled prototype vertical axis wind turbine for the wind velocity is to predict the performance of full scaled H-type vertical axis wind turbine. Prediction of power generation at the different wind velocities has been tested at the Thermal Laboratory of Faculty of Engineering, Universiti Industri Selangor (UNISEL) and results concerning the daily prediction have been obtained.
format	Article
author	Hossain, Altab Rahman, Mohammed Ataur Rahman, Md. Mozasser Hasan, SK. Hossen, Md. Jakir
author_facet	Hossain, Altab Rahman, Mohammed Ataur Rahman, Md. Mozasser Hasan, SK. Hossen, Md. Jakir
author_sort	Hossain, Altab
title	Prediction of power generation of small scale vertical axis wind turbine using fuzzy logic
title_short	Prediction of power generation of small scale vertical axis wind turbine using fuzzy logic
title_full	Prediction of power generation of small scale vertical axis wind turbine using fuzzy logic
title_fullStr	Prediction of power generation of small scale vertical axis wind turbine using fuzzy logic
title_full_unstemmed	Prediction of power generation of small scale vertical axis wind turbine using fuzzy logic
title_sort	prediction of power generation of small scale vertical axis wind turbine using fuzzy logic
publishDate	2009
url	http://irep.iium.edu.my/1459/ http://irep.iium.edu.my/1459/ http://irep.iium.edu.my/1459/ http://irep.iium.edu.my/1459/1/Paper-I._J._Urban_and_Env.Engg.pdf
first_indexed	2023-09-18T20:08:49Z
last_indexed	2023-09-18T20:08:49Z
_version_	1777407339652972544

Prediction of power generation of small scale vertical axis wind turbine using fuzzy logic

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