Research Article

Calculating Weibull Coefficients Using the Maximum Likelihood Method and Comparing Performance Across Sites

Volume: 37 Number: 1 March 1, 2024
EN

Calculating Weibull Coefficients Using the Maximum Likelihood Method and Comparing Performance Across Sites

Abstract

In this study, the compliance of the Weibull Distribution Function (WDF) and actual wind data (WD) from three different locations were investigated. The coefficients of the WDF were calculated using the Maximum Likelihood Method (MLM) in the Adana, Osmaniye, and Hatay regions. The main purpose of this study is to observe the performances of the MLM in determining the coefficients of the WDF in different regions in different years and to examine the success of this method in estimating the mean wind power and speed of the determined regions. The performance of the indicated approach in all three selected locations was evaluated using the Root Mean Square Error (RMSE), Coefficient of Determination (R2), and Mean Percentage Error (MPE). Also wind power densities were estimated for all three regions, which are one of the most essential metrics for estimating a region's wind energy (WE) potential. WDF power densities were estimated and compared to real wind power densities generated from measured WD for three different places. The performance of the method described in this paper was investigated in depth in various places with varying geographic characteristics. In addition, in the same years, the performance of the chosen method was evaluated in detail in three distinct places, and it was seen how geographical factors affected the method's performance.

Keywords

References

  1. [1] Sadorsky, P., “WE for sustainable development: Driving factors and future outlook”, Journal of Cleaner Production, 289, 125779, (2021).
  2. [2] Al-Dousari, A., Al-Nassar, W., Al-Hemoud, A., Alsaleh, A., Ramadan, A., Al-Dousari, N., Ahmed, M., “Solar and WE: challenges and solutions in desert regions”, Energy, 176: 184-194, (2019).
  3. [3] Agalar, S., Kaplan, Y. A., “Design of a custom power park for wind turbine system and analysis of the system performance under power quality disturbances”, IET Renewable Power Generation, 9(8): 943-953, (2015).
  4. [4] Kaplan, Y. A., “Comparison of the Performance of the Methods Used to Find the Weibull Parameters at Different Heights”, Arabian Journal for Science and Engineering, 46(12): 12145-12153, (2021).
  5. [5] Wang, W., Okaze, T., “Statistical analysis of low-occurrence strong wind speeds at the pedestrian level around a simplified building based on the Weibull distribution”, Building and Environment, 209: 108644, (2022).
  6. [6] Safari, M. A. M., Masseran, N., Majid, M. H. A., “Wind energy potential assessment using Weibull distribution with various numerical estimation methods: a case study in Mersing and Port Dickson, Malaysia”, Theoretical and Applied Climatology, 148(3-4): 1085-1110, (2022).
  7. [7] Hussain, I., Haider, A., Ullah, Z., Russo, M., Casolino, G. M., Azeem, B., “Comparative Analysis of Eight Numerical Methods Using Weibull Distribution to Estimate Wind Power Density for Coastal Areas in Pakistan”, Energies, 16(3): 1515, (2023).
  8. [8] Kaplan, A. G., “A new approach based on moving least square method for calculating the Weibull coefficients”, Environmental Progress & Sustainable Energy, 41(4): e13934, (2022).

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Early Pub Date

August 23, 2023

Publication Date

March 1, 2024

Submission Date

March 24, 2022

Acceptance Date

April 14, 2023

Published in Issue

Year 2024 Volume: 37 Number: 1

APA
Kaplan, A. (2024). Calculating Weibull Coefficients Using the Maximum Likelihood Method and Comparing Performance Across Sites. Gazi University Journal of Science, 37(1), 237-247. https://doi.org/10.35378/gujs.1092617
AMA
1.Kaplan A. Calculating Weibull Coefficients Using the Maximum Likelihood Method and Comparing Performance Across Sites. Gazi University Journal of Science. 2024;37(1):237-247. doi:10.35378/gujs.1092617
Chicago
Kaplan, Alper. 2024. “Calculating Weibull Coefficients Using the Maximum Likelihood Method and Comparing Performance Across Sites”. Gazi University Journal of Science 37 (1): 237-47. https://doi.org/10.35378/gujs.1092617.
EndNote
Kaplan A (March 1, 2024) Calculating Weibull Coefficients Using the Maximum Likelihood Method and Comparing Performance Across Sites. Gazi University Journal of Science 37 1 237–247.
IEEE
[1]A. Kaplan, “Calculating Weibull Coefficients Using the Maximum Likelihood Method and Comparing Performance Across Sites”, Gazi University Journal of Science, vol. 37, no. 1, pp. 237–247, Mar. 2024, doi: 10.35378/gujs.1092617.
ISNAD
Kaplan, Alper. “Calculating Weibull Coefficients Using the Maximum Likelihood Method and Comparing Performance Across Sites”. Gazi University Journal of Science 37/1 (March 1, 2024): 237-247. https://doi.org/10.35378/gujs.1092617.
JAMA
1.Kaplan A. Calculating Weibull Coefficients Using the Maximum Likelihood Method and Comparing Performance Across Sites. Gazi University Journal of Science. 2024;37:237–247.
MLA
Kaplan, Alper. “Calculating Weibull Coefficients Using the Maximum Likelihood Method and Comparing Performance Across Sites”. Gazi University Journal of Science, vol. 37, no. 1, Mar. 2024, pp. 237-4, doi:10.35378/gujs.1092617.
Vancouver
1.Alper Kaplan. Calculating Weibull Coefficients Using the Maximum Likelihood Method and Comparing Performance Across Sites. Gazi University Journal of Science. 2024 Mar. 1;37(1):237-4. doi:10.35378/gujs.1092617