Wind power analysis and site matching of wind turbine generators in Kingdom of Bahrain

Fawzi A.L. Jowder

Applied Energy, 2009, vol. 86, issue 4, 538-545

Abstract: In this paper, the hourly measured wind speed data for years 2003-2005 at 10Â m, 30Â m and 60Â m height for Kingdom of Bahrain have been statically analyzed to determine the potential of wind power generation. Extrapolation of the 10Â m data, using the Power Law, has been used to determine the wind data at heights of 30Â m and 60Â m. Weibull distribution parameters have been estimated and compared annually and on monthly bases using two methods; the graphical method and the another method, designated in this paper as approximated method, which depends on the standard deviation and average wind speed. The maximum power density for 10Â m, 30Â m and 60Â m heights were found to be 164.33Â W/m2, 624.17Â W/m2 and 1171.18Â W/m2 in February, respectively while the minimum power density were 65.33Â W/m2, 244.33Â W/m2 and 454.53Â W/m2 in October, respectively. The average annual wind power density was found to be 114.54Â W/m2 for 10Â m height, 433.29Â W/m2 for 30Â m height and 816.70Â W/m2 for 60Â m height. Weibull probability function, using Weibull parameters estimated from the approximated method, has shown to provide more accurate prediction of average wind speed and average power density than the graphical method. In addition, the site matching of wind turbine generators at 30Â m and 60Â m heights has been investigated by estimating the capacity factors of various commercially available wind turbines generators. The monthly and annual variation of capacity factors have been studied to ensure optimum selection of wind turbine generators.

Keywords: Wind; energy; Weibull; parameters; Capacity; factor; Wind; data; in; Kingdom; of; Bahrain (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (60)

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