Plenary Lecture, ENERGY & ENVIRONMENT (EE'09), Cambridge, UK, February 21-23, 2009

Plenary Lecture

Analyzing Malaysian Wind Speed Data
Using Statistical Distribution

Associate Professor Azami Zaharim
Coordinator Fundamental Engineering Studies
Faculty of Engineering and Built Environment
Universiti Kebangsaan Malaysia
43600 UKM, Bangi, Selangor

Many studies have been carried out to develop a suitable statistical model in order to describe wind energy potential. The most important parameter in estimating the wind energy potential is wind speed. Wind speed is a random phenomenon; statistical methods will be very useful in estimating it. For this reason, wind speed probabilities can be estimated by using probability distributions. An accurate determination of probability distribution for wind speed values is very important in evaluating wind speed energy potential of a region Based on the past literature; Weibul and Rayleigh are two widely used distributions. However, in this paper, Burr, Lognormal and Frechet distribution were applied to data sets for a specific location in Pahang, Malaysia. In determining the proper distribution, an approach consisting Kolmogorov-Smirnov (Ks), Anderson Darling (AD) and chi square (??2) test also the fitted graphics of probability distribution function (PDF) and cumulative distribution function (CDF) have been used. Based on the graphical and the computed goodness of fit results, general inference can be made that Burr distribution would be the best model which fitted the data very well.

Brief biography of the speaker:
Azami Zaharim worked first 13 years as a lecturer in the Universiti Teknologi MARA (University of MARA Technology - UiTM) before joining the Universiti Kebangsaan Malaysia (National University of Malaysia - UKM) in the year 2003. He is Associate Professor at the Faculty of Engineering and Built Environment UKM, and is currently Coordinator for the Unit Fundamental Engineering Studies. He obtained his BSc(Statistics and Computing) with Honours from North London University, UK in 1988 and PhD (Statistics) in 1996 from University of Newcastle Upon Tyne, UK. He specialize in statistics, public opinion, engineering education and renewable energy resources.
He has until now published over 80 research papers in Journals and conferences, conducted more than 15 public opinion consultancies and delivered 3 keynotes/invited speeches at national and international meetings. He is currently the head of Renewable Energy Resources and Social Impact Research Group under the Solar Energy Research Institute (SERI). In the year 2007, he headed the Engineering Mathematics Research Group. At the same time, he is currently active involve in outcome based education (OBE) approach at the national level and the chairman of the Engineering Education Research Group since 2005. He is also involved actively in the research for the future of engineering education in Malaysia 2006 under the Ministry of Higher Education of Malaysia.


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