Research Article

A COMPARISON OF WEIBULL AND RAYLEIGH DISTRIBUTION FUNCTIONS WITH MOMENT METHOD: A CASE STUDY OF OSMANİYE REGION IN TURKEY

Volume: 1 Number: 1 November 3, 2020
EN

A COMPARISON OF WEIBULL AND RAYLEIGH DISTRIBUTION FUNCTIONS WITH MOMENT METHOD: A CASE STUDY OF OSMANİYE REGION IN TURKEY

Abstract

In this study, wind energy potential of Osmaniye region is assessed statistically by using the hourly wind speed data of Turkish State Meteorological Service between 2009 and 2013. This study introduced the evaluation of Weibull Distribution Function and Rayleigh Distribution Function for Osmaniye Region. Weibull function is utilized for the situations such as there exist no information about wind speed distribution measurement or frequency distribution. Moment Method is used to calculate the Weibull and Rayleigh parameters. Moment Method, Weibull and Rayleigh Distribution Functions are explained in detail in this paper. Additionally, the Relative Percentage Error (RPE) statistical test is used to compare the efficiency of these distribution functions. The calculated power density of all used distribution function is a major key issue for suitability of wind energy. The evaluation of parameters and wind power distribution have a crucial role in producing electricity from wind power. The calculated power densities of all used distribution functions were compared with wind power density derived from measured wind data. This paper reveals the effectiveness of Weibull and Rayleigh Distribution Functions by using Moment Method for Osmaniye region of Turkey.

Keywords

References

  1. [1] Kaplan Y.A., “Overview of Wind Energy in the World and Assessment of Current Wind Energy Policies in Turkey”, Renewable and Sustainable Energy Reviews, 43 C, pp. 562-568, (2015)
  2. [2] Kaplan Y.A., San I., “Current Situation of Wind Energy in the World and Turkey, Green Energy Conference-VI” (IGEC-VI), Eskisehir, Turkey, (2011)
  3. [3] Çapika M, Yılmaz AO., Çavusoglu I., “Present situation and potential role of renewable energy in Turkey”, Renewable Energy; 46, pp: 1-13, (2012)
  4. [4] Gabbasa M, Sopian K, Yaakob Z, Zonooz M, Fudholi A, Asim N., “Review of the energy supply status for sustainable development in the Organization of Islamic Conference” Renewable and Sustainable Energy Reviews;28 pp:18–28, (2013)
  5. [5] Mohammadi, Kasra, et al. Assessing different parameters estimation methods of Weibull distribution to compute wind power density. Energy Conversion and Management, 2016, 108: 322-335.
  6. [6] Kantar Y.M., Usta I., “Analysis of wind speed distributions: wind distribution function derived from minimum cross entropy principles as better alternative to Weibull function”, Energy Convers Manage, 49, pp. 962–973 (2008)
  7. [7] Akdağ S.A., Dinler A., “A new method to estimate Weibull parameters for wind energy applications”, Energy Convers Manag, 50, pp 1761-1766 (2009)
  8. [8] Bilgili M. ve Şahin B., “The finding of weibull parameters at the determination of Wind Power density”, New and Renewable Energy / Energy Management Symposium, Kayseri, 229-234, (2005)

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

November 3, 2020

Submission Date

June 4, 2020

Acceptance Date

September 24, 2020

Published in Issue

Year 2020 Volume: 1 Number: 1

APA
Kaplan, Y., & Ünaldı, G. G. (2020). A COMPARISON OF WEIBULL AND RAYLEIGH DISTRIBUTION FUNCTIONS WITH MOMENT METHOD: A CASE STUDY OF OSMANİYE REGION IN TURKEY. Eurasian Journal of Science Engineering and Technology, 1(1), 50-60. https://izlik.org/JA29WX25XE
AMA
1.Kaplan Y, Ünaldı GG. A COMPARISON OF WEIBULL AND RAYLEIGH DISTRIBUTION FUNCTIONS WITH MOMENT METHOD: A CASE STUDY OF OSMANİYE REGION IN TURKEY. (EJSET). 2020;1(1):50-60. https://izlik.org/JA29WX25XE
Chicago
Kaplan, Yusuf, and Gülizar Gizem Ünaldı. 2020. “A COMPARISON OF WEIBULL AND RAYLEIGH DISTRIBUTION FUNCTIONS WITH MOMENT METHOD: A CASE STUDY OF OSMANİYE REGION IN TURKEY”. Eurasian Journal of Science Engineering and Technology 1 (1): 50-60. https://izlik.org/JA29WX25XE.
EndNote
Kaplan Y, Ünaldı GG (November 1, 2020) A COMPARISON OF WEIBULL AND RAYLEIGH DISTRIBUTION FUNCTIONS WITH MOMENT METHOD: A CASE STUDY OF OSMANİYE REGION IN TURKEY. Eurasian Journal of Science Engineering and Technology 1 1 50–60.
IEEE
[1]Y. Kaplan and G. G. Ünaldı, “A COMPARISON OF WEIBULL AND RAYLEIGH DISTRIBUTION FUNCTIONS WITH MOMENT METHOD: A CASE STUDY OF OSMANİYE REGION IN TURKEY”, (EJSET), vol. 1, no. 1, pp. 50–60, Nov. 2020, [Online]. Available: https://izlik.org/JA29WX25XE
ISNAD
Kaplan, Yusuf - Ünaldı, Gülizar Gizem. “A COMPARISON OF WEIBULL AND RAYLEIGH DISTRIBUTION FUNCTIONS WITH MOMENT METHOD: A CASE STUDY OF OSMANİYE REGION IN TURKEY”. Eurasian Journal of Science Engineering and Technology 1/1 (November 1, 2020): 50-60. https://izlik.org/JA29WX25XE.
JAMA
1.Kaplan Y, Ünaldı GG. A COMPARISON OF WEIBULL AND RAYLEIGH DISTRIBUTION FUNCTIONS WITH MOMENT METHOD: A CASE STUDY OF OSMANİYE REGION IN TURKEY. (EJSET). 2020;1:50–60.
MLA
Kaplan, Yusuf, and Gülizar Gizem Ünaldı. “A COMPARISON OF WEIBULL AND RAYLEIGH DISTRIBUTION FUNCTIONS WITH MOMENT METHOD: A CASE STUDY OF OSMANİYE REGION IN TURKEY”. Eurasian Journal of Science Engineering and Technology, vol. 1, no. 1, Nov. 2020, pp. 50-60, https://izlik.org/JA29WX25XE.
Vancouver
1.Yusuf Kaplan, Gülizar Gizem Ünaldı. A COMPARISON OF WEIBULL AND RAYLEIGH DISTRIBUTION FUNCTIONS WITH MOMENT METHOD: A CASE STUDY OF OSMANİYE REGION IN TURKEY. (EJSET) [Internet]. 2020 Nov. 1;1(1):50-6. Available from: https://izlik.org/JA29WX25XE