Wind energy assessment considering wind speed correlation in Malaysia

Renewable energy is the current trend of energy sourcing. Numerous scientists,inventors,and engineers are working hard to harness renewable energy. The application of renewable energy is very wide; it can be as small as lighting an LED bulb or as large as generating the electricity of a town or even...

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Main Authors:	Goh, H. H., Lee, S. W., Chua, Q. S., Goh, K. C., Teo, K. T. K.
Format:	Article
Published:	Elsevier 2016
Subjects:	TJ807-830 Renewable energy sources
Online Access:	http://dx.doi.org/10.1016/j.rser.2015.10.076 http://dx.doi.org/10.1016/j.rser.2015.10.076 http://eprints.uthm.edu.my/9381/1/J1011_72edbf91d42e464ed50749ea2ad5cd17.pdf

id	uthm-9381
recordtype	eprints
spelling	uthm-93812018-08-13T03:23:48Z Wind energy assessment considering wind speed correlation in Malaysia Goh, H. H. Lee, S. W. Chua, Q. S. Goh, K. C. Teo, K. T. K. TJ807-830 Renewable energy sources Renewable energy is the current trend of energy sourcing. Numerous scientists,inventors,and engineers are working hard to harness renewable energy. The application of renewable energy is very wide; it can be as small as lighting an LED bulb or as large as generating the electricity of a town or even a country. Wind energy plays an important role in the context of electricity generation. Wind energy is highly dependent on the wind speed at a wind site. Wind prediction is necessary for a wind energy assessment of a potential wind farm. In this study, the wind energy assessment is based on wind prediction using the Mycielski algorithm and K-means clustering in Kudat, Malaysia. The predicted results are analysed using Weibull analysis to obtain the most probable wind speed. From the results of this study, K-means clustering is more accurate in prediction when compared with the Mycielski algorithm. The most probable wind in Kudat is sufficient to operate the wind turbines. Elsevier 2016 Article PeerReviewed application/pdf http://eprints.uthm.edu.my/9381/1/J1011_72edbf91d42e464ed50749ea2ad5cd17.pdf http://dx.doi.org/10.1016/j.rser.2015.10.076 Goh, H. H. and Lee, S. W. and Chua, Q. S. and Goh, K. C. and Teo, K. T. K. (2016) Wind energy assessment considering wind speed correlation in Malaysia. Renewable and Sustainable Energy Reviews, 54 . pp. 1389-1400. ISSN 13640321 http://eprints.uthm.edu.my/9381/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Tun Hussein Onn Malaysia
building	UTHM Institutional Repository
collection	Online Access
topic	TJ807-830 Renewable energy sources
spellingShingle	TJ807-830 Renewable energy sources Goh, H. H. Lee, S. W. Chua, Q. S. Goh, K. C. Teo, K. T. K. Wind energy assessment considering wind speed correlation in Malaysia
description	Renewable energy is the current trend of energy sourcing. Numerous scientists,inventors,and engineers are working hard to harness renewable energy. The application of renewable energy is very wide; it can be as small as lighting an LED bulb or as large as generating the electricity of a town or even a country. Wind energy plays an important role in the context of electricity generation. Wind energy is highly dependent on the wind speed at a wind site. Wind prediction is necessary for a wind energy assessment of a potential wind farm. In this study, the wind energy assessment is based on wind prediction using the Mycielski algorithm and K-means clustering in Kudat, Malaysia. The predicted results are analysed using Weibull analysis to obtain the most probable wind speed. From the results of this study, K-means clustering is more accurate in prediction when compared with the Mycielski algorithm. The most probable wind in Kudat is sufficient to operate the wind turbines.
format	Article
author	Goh, H. H. Lee, S. W. Chua, Q. S. Goh, K. C. Teo, K. T. K.
author_facet	Goh, H. H. Lee, S. W. Chua, Q. S. Goh, K. C. Teo, K. T. K.
author_sort	Goh, H. H.
title	Wind energy assessment considering wind speed correlation in Malaysia
title_short	Wind energy assessment considering wind speed correlation in Malaysia
title_full	Wind energy assessment considering wind speed correlation in Malaysia
title_fullStr	Wind energy assessment considering wind speed correlation in Malaysia
title_full_unstemmed	Wind energy assessment considering wind speed correlation in Malaysia
title_sort	wind energy assessment considering wind speed correlation in malaysia
publisher	Elsevier
publishDate	2016
url	http://dx.doi.org/10.1016/j.rser.2015.10.076 http://dx.doi.org/10.1016/j.rser.2015.10.076 http://eprints.uthm.edu.my/9381/1/J1011_72edbf91d42e464ed50749ea2ad5cd17.pdf
first_indexed	2018-09-05T11:50:11Z
last_indexed	2018-09-05T11:50:11Z
_version_	1610768147229442048

Wind energy assessment considering wind speed correlation in Malaysia

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