This study analyzed the harmony of the Weibull Distribution Function (WDF) and the real data obtained from three different locations. The Standard Deviation Method (SDM) was used to determine the coefficients of the WDF at Adana, Osmaniye and Hatay regions. One of the important purposes of this study is to observe how the performance of the SDM changes in regions with different mean wind speeds. The statistical fittings of the calculated and measured wind speed data were evaluated for justifying the performance of the SDM. The obtained results were compared with such error analyses as Coefficient of Determination (R2), Mean Percentage Error (MPE) and Root Mean Square Error (RMSE). Obtained data were examined on monthly, seasonal and annual bases. The power density is a major key issue for suitability use of wind energy. The calculated power densities of all selected regions were compared with wind power density derived from measured wind data. The performance of the method mentioned in this study was examined in detail at different regions with different geographic characteristics. For the selected three regions, the performance of the SDM was evaluated at different mean wind speeds varying over the years.
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kaplan, Y. (2020). Determination of Weibull parameters using the standard deviation method and performance comparison at different locations. Scientia Iranica, 27(6), 3075-3083. doi: 10.24200/sci.2019.50323.1632
MLA
Y.A. kaplan. "Determination of Weibull parameters using the standard deviation method and performance comparison at different locations". Scientia Iranica, 27, 6, 2020, 3075-3083. doi: 10.24200/sci.2019.50323.1632
HARVARD
kaplan, Y. (2020). 'Determination of Weibull parameters using the standard deviation method and performance comparison at different locations', Scientia Iranica, 27(6), pp. 3075-3083. doi: 10.24200/sci.2019.50323.1632
VANCOUVER
kaplan, Y. Determination of Weibull parameters using the standard deviation method and performance comparison at different locations. Scientia Iranica, 2020; 27(6): 3075-3083. doi: 10.24200/sci.2019.50323.1632
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