Analysis of wind energy potential on selected states in Peninsular Malaysia comparative study of Weibull and Rayleigh distribution

Mahfudz, Nurul Nazurah (2020) Analysis of wind energy potential on selected states in Peninsular Malaysia comparative study of Weibull and Rayleigh distribution. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, the growing concern about electricity generation by fossil fuels that harmed the environment makes renewable energy becoming a demand. Renewable energy is well known from around the world as a renewable technology for grid power generation. Wind energy is the leading source of renewable energy for electricity production. Therefore, wind energy is becoming one of the renewable energy resources in general, and it can be one of the eligible renewable energy sources for electricity generation in Malaysia. Thus, the purpose of this analysis is to determine the wind energy potential on the selected states in Peninsular Malaysia. There are tow main objectives of this analysis. Firstly, to develop Weibull and Rayleigh Probability Density Function (PDF) for assessing wind power density on selected states in Peninsular Malaysia. Next is to analyse, compare and propose the best method for calculating wind power density between the Weibull and Rayleigh probability distributions. This study analyse the average wind speed data from the selected states in peninsular Malaysia in 2018, 2019, and 2020. Wind speed, also known as average wind velocity is an important component for the analysis of wind energy potential. The probability distributions proved to be a useful technique when analysing the wind speed at any place. In the study, two different probability distributions are considered: Weibull distribution and Rayleigh distribution. The shape, k, and scale, c, parameters of the area were determined based on the data. The parameters of the density distributions are calculated by the Maximum Likelihood Estimation method. From the statistical analysis of the distributions, the Weibull distribution is best suited to the calculated probability density distributions than the Rayleigh distribution for the entire years.

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