Indian Journal of Science and Technology

Abstract

Objectives: To analyze wind data to examine the prospect of wind energy as an alternative source of energy to overcome the lack of fuel and power supply in the coastal belt of Balochistan which is the largest province of Pakistan in terms of area. Methods/Statistical Analysis: For our studies we have selected four sites of coastal region of Balochistan (Gwadar, Pasni, Jiwani and Ormara) and taken data for these selected sites from Pakistan Metrological Department for a period of five years (2010–2014) we have done the statistical analysis of wind data by Weibull and Rayleigh probability distribution. Findings: Weibull and Rayleigh distribution functions have been derived from the available wind data, its parameters are estimated. The annual cycle of Weibull functions is fitted on yearly basis; it is found that the Weibull distribution that is fitting to the measured yearly probability distributions is better and suitable than the Rayleigh distribution for the five years period (2010–2014). Application/Improvements: From the result derived it is suggested that selected observations of coastal belt have good wind potential and as wind energy makes economic sense it will cover the issues like lack of fuel risk and will provide regional economic development to overcome the lack of power facilities in the province. 

Keywords: Balochistan, Coastal Region, Rayleigh Method, Weibull Method, Wind Data Analysis