Research Article

Statistical analysis of wind energy potential for Bartın province: Weibull distribution approach

Volume: 32 Number: 4 July 13, 2026
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Statistical analysis of wind energy potential for Bartın province: Weibull distribution approach

Abstract

Our study aimed to investigate the wind potential of Bartın, one of Türkiye's northernmost provinces. To determine this potential, we analyzed the region's wind power density and wind speed parameters. 3561 hourly wind speed data obtained from the stations of the General Directorate of Meteorology between the years 2015-2024 were used in the analyses.  The obtained data were evaluated to examine the annual, seasonal, and monthly distributions of wind speed. In the actual data collected, the highest wind speed was measured as 1.5645 m/s and the lowest as 0.3345 m/s. Based on the Weibull analysis, the highest average wind speed was determined to be 1.2712 m/s in 2024, and the highest power density corresponding to this average wind speed was 1.6453 W/m². The obtained data were evaluated in order to examine the annual, seasonal and monthly distributions of wind speed. Weibull distribution function, which is frequently preferred in the literature and known to provide reliable results, was used for statistical modeling of wind speeds. The shape (k) and scale (c) parameters of the Weibull distribution were determined by the least squares method; the suitability of the model was statistically verified by the coefficient of determination (R²), root mean square error (RMSE) and chi-square (χ²) tests. The analyses show that the wind data of Bartın province can be successfully represented by the Weibull distribution. The findings shed light on the feasibility of wind energy-based investments in Bartın and provide a solid data basis for new studies in this field. It is also anticipated that they may contribute to the planning of sustainable energy policies at the regional level.

Keywords

References

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Details

Primary Language

English

Subjects

Electrical Energy Generation (Incl. Renewables, Excl. Photovoltaics)

Journal Section

Research Article

Early Pub Date

October 31, 2025

Publication Date

July 13, 2026

Submission Date

July 8, 2025

Acceptance Date

October 15, 2025

Published in Issue

Year 2026 Volume: 32 Number: 4

APA
Erdoğan, B., Güneş, A., & Karaoğlu, A. (2026). Statistical analysis of wind energy potential for Bartın province: Weibull distribution approach. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 32(4), 606-615. https://doi.org/10.65206/pajes.63833
AMA
1.Erdoğan B, Güneş A, Karaoğlu A. Statistical analysis of wind energy potential for Bartın province: Weibull distribution approach. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2026;32(4):606-615. doi:10.65206/pajes.63833
Chicago
Erdoğan, Beytullah, Abdulsamed Güneş, and Arda Karaoğlu. 2026. “Statistical Analysis of Wind Energy Potential for Bartın Province: Weibull Distribution Approach”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 32 (4): 606-15. https://doi.org/10.65206/pajes.63833.
EndNote
Erdoğan B, Güneş A, Karaoğlu A (July 1, 2026) Statistical analysis of wind energy potential for Bartın province: Weibull distribution approach. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 32 4 606–615.
IEEE
[1]B. Erdoğan, A. Güneş, and A. Karaoğlu, “Statistical analysis of wind energy potential for Bartın province: Weibull distribution approach”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 32, no. 4, pp. 606–615, July 2026, doi: 10.65206/pajes.63833.
ISNAD
Erdoğan, Beytullah - Güneş, Abdulsamed - Karaoğlu, Arda. “Statistical Analysis of Wind Energy Potential for Bartın Province: Weibull Distribution Approach”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 32/4 (July 1, 2026): 606-615. https://doi.org/10.65206/pajes.63833.
JAMA
1.Erdoğan B, Güneş A, Karaoğlu A. Statistical analysis of wind energy potential for Bartın province: Weibull distribution approach. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2026;32:606–615.
MLA
Erdoğan, Beytullah, et al. “Statistical Analysis of Wind Energy Potential for Bartın Province: Weibull Distribution Approach”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 32, no. 4, July 2026, pp. 606-15, doi:10.65206/pajes.63833.
Vancouver
1.Beytullah Erdoğan, Abdulsamed Güneş, Arda Karaoğlu. Statistical analysis of wind energy potential for Bartın province: Weibull distribution approach. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2026 Jul. 1;32(4):606-15. doi:10.65206/pajes.63833