Evaluation of Wind Speed Potential Using Correlation Coefficient Model in Medan, North Sumatra, Indonesia

Abstract

Medan is the capital city of North Sumatra Province, consisting of various tribes and a dense population that requires a large amount of electrical power. Energy demand continues to increase along with population and business growth, so that additional energy sources are needed; one of which is wind. An evaluation of the potential of wind energy sources is needed to determine the feasability of its use as an environmentally-friendly, renewable energy source without emissions.This paper aims to evaluate the potential wind speed in the city of Medan using the correlation coefficient (R2) model. The four application models proposed for the probability density function used are Normal Distribution, Lognormal, Weibull 2-parameters and Weibull 3-parameters. The analysis results show that the four models used are all potentially feasible options that can be used to evaluate the potential sources of wind energy in Medan. The potential of these models for use, ranked from most to least, are the Weibull 3-parameter Model, followed by the Lognormal, Normal Distribution and Weibull2-parameter. In addition to the analysis, the results of the Normal, Lognormal and Weibull Distribution tests are also presented.