Evaluating wind energy potential in gorgan–iran using two methods of weibull distribution function

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Abstract

In this study, wind energy characteristics of the, a city in northeast of Iran, measured at 10m height in 2014. The Gorgan airport one hour recorded data extrapolated to 50m height. The data have been statistically analyzed hourly, daily, monthly, seasonally and annually to determine the wind power potential. Weibull distribution function has been used to determine the wind power density and then the potential energy. Standard deviation method (SDM) and power density method (PDM) are the methods used to calculate the scaling and shaping parameters of the Weibull distribution function. The annual mean wind power calculated by the standard deviation method and the power density method is 38.98w/m2 and 41.32w/m2, respectively. By comparing the results concluded that the power density method is a better method than the standard deviation method. In addition, Gorgan wind energy potentiality categorized into class 1. So is unsuitable to utilize large wind energy turbine.

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APA

Babayani, D., Khaleghi, M., Tashakor, S., & Hashemi-Tilehnoee, M. (2016). Evaluating wind energy potential in gorgan–iran using two methods of weibull distribution function. International Journal of Renewable Energy Development, 5(1), 43–48. https://doi.org/10.14710/ijred.5.1.43-48

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