ESTIMATING WIND ENERGY POTENTIAL WITH PREDICTING BURR LSM PARAMETERS: A DIFFERENT APPROACH

Bayram Köse; Murat Düz; M. Tahir Güneşer; Ziyaddin Recebli

ESTIMATING WIND ENERGY POTENTIAL WITH PREDICTING BURR LSM PARAMETERS: A DIFFERENT APPROACH

Abstract

Estimating wind energy potential and wind speed frequency are important for planning wind energy conversion plants. Probability distribution functions are utilized to model wind speed distributions. In this study, an estimation was model designed by using the least squares method to predict the wind speed density with the Burr distribution, which has not been studied before. To confirm this model, the annual data of eight different weather stations were analysed, and the results were compared with the Weibull distribution model, which is the most popular one in the literature. For predicting the parameters of both models least square method and maximum likely methods were used. Regarding the comparison results, the performance of designed estimation model (Burr LSM) is higher than the Weibull distribution models, especially for the locations with higher average wind speeds. The results show that the Burr LSM is better than the others for seven of eight weather stations in terms of the power density.

Keywords

References

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Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

Bayram Köse This is me
0000-0003-0256-5921
Türkiye

Murat Düz This is me
0000-0003-2387-4045
Türkiye

M. Tahir Güneşer This is me
0000-0003-3502-2034
Türkiye

Ziyaddin Recebli This is me
0000-0003-3110-9423
Türkiye

Publication Date

June 1, 2018

Submission Date

September 5, 2017

Acceptance Date

March 3, 2018

Published in Issue

Year 2018 Volume: 36 Number: 2

IZ

https://izlik.org/JA39RJ68AB

Cite

RIS / Bibtex

APA

Köse, B., Düz, M., Güneşer, M. T., & Recebli, Z. (2018). ESTIMATING WIND ENERGY POTENTIAL WITH PREDICTING BURR LSM PARAMETERS: A DIFFERENT APPROACH. Sigma Journal of Engineering and Natural Sciences, 36(2), 389-404. https://izlik.org/JA39RJ68AB

AMA

1.Köse B, Düz M, Güneşer MT, Recebli Z. ESTIMATING WIND ENERGY POTENTIAL WITH PREDICTING BURR LSM PARAMETERS: A DIFFERENT APPROACH. SIGMA. 2018;36(2):389-404. https://izlik.org/JA39RJ68AB

Chicago

Köse, Bayram, Murat Düz, M. Tahir Güneşer, and Ziyaddin Recebli. 2018. “ESTIMATING WIND ENERGY POTENTIAL WITH PREDICTING BURR LSM PARAMETERS: A DIFFERENT APPROACH”. Sigma Journal of Engineering and Natural Sciences 36 (2): 389-404. https://izlik.org/JA39RJ68AB.

EndNote

Köse B, Düz M, Güneşer MT, Recebli Z (June 1, 2018) ESTIMATING WIND ENERGY POTENTIAL WITH PREDICTING BURR LSM PARAMETERS: A DIFFERENT APPROACH. Sigma Journal of Engineering and Natural Sciences 36 2 389–404.

IEEE

[1]B. Köse, M. Düz, M. T. Güneşer, and Z. Recebli, “ESTIMATING WIND ENERGY POTENTIAL WITH PREDICTING BURR LSM PARAMETERS: A DIFFERENT APPROACH”, SIGMA, vol. 36, no. 2, pp. 389–404, June 2018, [Online]. Available: https://izlik.org/JA39RJ68AB

ISNAD

Köse, Bayram - Düz, Murat - Güneşer, M. Tahir - Recebli, Ziyaddin. “ESTIMATING WIND ENERGY POTENTIAL WITH PREDICTING BURR LSM PARAMETERS: A DIFFERENT APPROACH”. Sigma Journal of Engineering and Natural Sciences 36/2 (June 1, 2018): 389-404. https://izlik.org/JA39RJ68AB.

JAMA

1.Köse B, Düz M, Güneşer MT, Recebli Z. ESTIMATING WIND ENERGY POTENTIAL WITH PREDICTING BURR LSM PARAMETERS: A DIFFERENT APPROACH. SIGMA. 2018;36:389–404.

MLA

Köse, Bayram, et al. “ESTIMATING WIND ENERGY POTENTIAL WITH PREDICTING BURR LSM PARAMETERS: A DIFFERENT APPROACH”. Sigma Journal of Engineering and Natural Sciences, vol. 36, no. 2, June 2018, pp. 389-04, https://izlik.org/JA39RJ68AB.

Vancouver

1.Bayram Köse, Murat Düz, M. Tahir Güneşer, Ziyaddin Recebli. ESTIMATING WIND ENERGY POTENTIAL WITH PREDICTING BURR LSM PARAMETERS: A DIFFERENT APPROACH. SIGMA [Internet]. 2018 Jun. 1;36(2):389-404. Available from: https://izlik.org/JA39RJ68AB