Research Article | OPEN ACCESS
The Probability Distribution Model of Wind Speed over East Malaysia
1Nurulkamal Masseran, 1, 2Ahmad Mahir Razali, 1, 2Kamarulzaman Ibrahim, 2, 3Azami Zaharim and 2Kamaruzzaman Sopian
1Centre for Modelling and Data Analysis (DELTA), School of
Mathematical Sciences, Faculty of Science and Technology
2Solar Energy Research Institute (SERI)
3Head of Project Group of Renewable Energy Resources Analysis, Policy and Energy Management, Renewable Energy Niche, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor D.E., Malaysia
Research Journal of Applied Sciences, Engineering and Technology 2013 10:1774-1779
Received: October 22, 2012 | Accepted: December 20, 2012 | Published: July 20, 2013
Abstract
Many studies have found that wind speed is the most significant parameter of wind power. Thus, an accurate determination of the probability distribution of wind speed is an important parameter to measure before estimating the wind energy potential over a particular region. Utilizing an accurate distribution will minimize the uncertainty in wind resource estimates and improve the site assessment phase of planning. In general, different regions have different wind regimes. Hence, it is reasonable that different wind distributions will be found for different regions. Because it is reasonable to consider that wind regimes vary according to the region of a particular country, nine different statistical distributions have been fitted to the mean hourly wind speed data from 20 wind stations in East Malaysia, for the period from 2000 to 2009. The values from Kolmogorov-Smirnov statistic, Akaike’s Information Criteria, Bayesian Information Criteria and R2 correlation coefficient were compared with the distributions to determine the best fit for describing the observed data. A good fit for most of the stations in East Malaysia was found using the Gamma and Burr distributions, though there was no clear pattern observed for all regions in East Malaysia. However, the Gamma distribution was a clear fit to the data from all stations in southern Sabah.
Keywords:
Goodness of fit, spatial pattern, wind energy, wind regime, wind speed distribution,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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