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Wind Speed Potential Analysis Based on Weibull Distribution

Year 2015, Volume: 3 , 231 - 235, 30.12.2015

Abstract

Weibull probability density function used to

determine the wind energy potential commonly. In this paper,

wind energy potential of Bilecik region is analyzed statistically by

using the Turkish State Meteorological Service’s hourly wind

speed data between 2010-2014 measured in Bilecik

meteorological station. It is used the two- parameter Weibull to

determine wind energy potential of the region. The parameters of

the Weibull distributions used for finding the estimation of

average speed, standard deviation, and power density is found by

using the Maximum likelihood method. All analysis is carried out

by Matrix Laboratory (MATLAB) programming language.

Monthly and yearly wind speeds are modeled by Weibull

distribution statistically. Accuracy of the modeling is evaluated in

terms of Root Mean Square Error (RMSE).

References

  • [1] Kurban, M., Kantar, Y. M., & Hocaoğlu, F. O. (2006). Rüzgar Enerjisi Potansiyelinin Araştırılmasında Weıbull Ve Rayleıgh Dağılımının Kullanılması. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 10(1), 14-21. [2] Kurban, M., Hocaoğlu, F. O., & Kantar, Y. M. (2011). Rüzgar Enerjisi Potansiyelinin Tahmininde Kullanılan İki Farklı İstatistiksel Dağılımın Karşılaştırmalı Analizi. Pamukkale University Journal Of Engineering Sciences, 13(1). [3] Akdağ, S. A., & Güler, Ö. (2008) Weibull Dağılım Parametrelerini Belirleme Metodlarının Karşılaştırılması. VII. Ulusal Temiz Enerji Sempozyumu, UTES’2008 17-19 Aralık 2008, İstanbul,707-714. [4] Genc, A., Erisoglu, M., Pekgor, A., Oturanc, G., Hepbasli, A., & Ulgen, K. (2005). Estimation of wind power potential using Weibull distribution. Energy Sources, 27(9), 809-822. [5] Yıldırım, U., Gazibey, Y., & Güngör, A. (2012). Niğde İli Rüzgar Enerjisi Potansiyeli. Mühendislik Bilimleri Dergisi, 1(2), 37-47. [6] Akdağ, S. A., & Dinler, A. (2009). A New Method To Estimate Weibull Parameters For Wind Energy Applications. Energy Conversion And Management, 50(7), 1761-1766. [7] Cheng, R. C. H., & Amin, N. A. K. (1983). Estimating parameters in continuous univariate distributions with a shifted origin. Journal of the Royal Statistical Society. Series B (Methodological), 394-403. [8] Patel, M. R. (2005). Wind and solar power systems: design, analysis, and operation. CRC press. [9] Stevens, M. J. M., & Smulders, P. T. (1979). The estimation of the parameters of the Weibull wind speed distribution for wind energy utilization purposes. Wind engineering, 3, 132-145
Year 2015, Volume: 3 , 231 - 235, 30.12.2015

Abstract

References

  • [1] Kurban, M., Kantar, Y. M., & Hocaoğlu, F. O. (2006). Rüzgar Enerjisi Potansiyelinin Araştırılmasında Weıbull Ve Rayleıgh Dağılımının Kullanılması. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 10(1), 14-21. [2] Kurban, M., Hocaoğlu, F. O., & Kantar, Y. M. (2011). Rüzgar Enerjisi Potansiyelinin Tahmininde Kullanılan İki Farklı İstatistiksel Dağılımın Karşılaştırmalı Analizi. Pamukkale University Journal Of Engineering Sciences, 13(1). [3] Akdağ, S. A., & Güler, Ö. (2008) Weibull Dağılım Parametrelerini Belirleme Metodlarının Karşılaştırılması. VII. Ulusal Temiz Enerji Sempozyumu, UTES’2008 17-19 Aralık 2008, İstanbul,707-714. [4] Genc, A., Erisoglu, M., Pekgor, A., Oturanc, G., Hepbasli, A., & Ulgen, K. (2005). Estimation of wind power potential using Weibull distribution. Energy Sources, 27(9), 809-822. [5] Yıldırım, U., Gazibey, Y., & Güngör, A. (2012). Niğde İli Rüzgar Enerjisi Potansiyeli. Mühendislik Bilimleri Dergisi, 1(2), 37-47. [6] Akdağ, S. A., & Dinler, A. (2009). A New Method To Estimate Weibull Parameters For Wind Energy Applications. Energy Conversion And Management, 50(7), 1761-1766. [7] Cheng, R. C. H., & Amin, N. A. K. (1983). Estimating parameters in continuous univariate distributions with a shifted origin. Journal of the Royal Statistical Society. Series B (Methodological), 394-403. [8] Patel, M. R. (2005). Wind and solar power systems: design, analysis, and operation. CRC press. [9] Stevens, M. J. M., & Smulders, P. T. (1979). The estimation of the parameters of the Weibull wind speed distribution for wind energy utilization purposes. Wind engineering, 3, 132-145
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Details

Primary Language English
Subjects Engineering
Journal Section Araştırma Articlessi
Authors

Emrah Dokur

Mehmet Kurban

Publication Date December 30, 2015
Published in Issue Year 2015 Volume: 3

Cite

APA Dokur, E., & Kurban, M. (2015). Wind Speed Potential Analysis Based on Weibull Distribution. Balkan Journal of Electrical and Computer Engineering, 3, 231-235.

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