DocumentCode :
2746192
Title :
Seasonal wind speed distribution analysis in west coast of Malaysia
Author :
Noratiqah, S. ; Asmat, A. ; Mansor, S.
Author_Institution :
Fac. of Appl. Sci., Univ. Teknol. MARA, Shah Alam, Malaysia
fYear :
2012
fDate :
10-12 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Wind in Malaysia varies according to the Northeast and Southwest monsoon. The transition period of the two monsoons, April and October intermonsoon also influence the wind in Malaysia. The determination of the fit wind speed distribution has become a vital process in wind energy estimation and coastal engineering application. However, previous study focuses only on the fit annual distribution instead of the fit seasonal distribution of wind speed. The fit seasonal distribution of wind can leads to the proper installation of wind energy technology devices, the wind power generation and the pattern of the wind itself. Thus, this paper aims to determine the best fir distribution of monsoon and inter-monsoon occurred in Malaysia every year. The distribution that was tested is the Gamma, Log-normal and Weibull distribution model hence, the fit distribution was determined using Kolmogorov-Smirnov goodness-of-fit test. It was found that the Log-normal distribution fits best with all monsoon and inter-monsoon in Malaysia.
Keywords :
Weibull distribution; gamma distribution; log normal distribution; monsoons; wind; wind power; Kolmogorov-Smirnov goodness-of-fit test; Malaysia; Northeast monsoon; Southwest monsoon; Weibull distribution model; coastal engineering application; fit annual distribution; fit seasonal distribution; fit wind speed distribution; gamma distribution model; log-normal distribution model; seasonal wind speed distribution analysis; transition period; wind energy estimation; wind energy technology devices; wind power generation; Data models; Probability distribution; Sea measurements; Shape; Wind energy; Wind power generation; Wind speed; goodness of fit; monsoon; probability distribution; seasonal distribution; wind speed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistics in Science, Business, and Engineering (ICSSBE), 2012 International Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1581-4
Type :
conf
DOI :
10.1109/ICSSBE.2012.6396556
Filename :
6396556
Link To Document :
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