Journals / Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2026 / Cilt: 19 Sayı: 2

Assessment of Wind Energy Potential Across Various Regions of Turkey

Türkiye'nin Çeşitli Bölgelerindeki Rüzgâr Enerjisi Potansiyelinin Değerlendirilmesi

Neslihan Ekinci(ATATÜRK ÜNİVERSİTESİ)0000-0002-0927-9779
Pages
262–272
Publication Date
2026-08-31
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Upon analysis of the data in the Eastern Anatolia region, when juxtaposed with the average data, it was clear that wind turbines can be installed in some places in the Eastern Anatolia region.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The current article aimed to analyze wind data in locations where wind turbines were located in various regions of Turkey between 2013 and 2022.
📊
Key Findings & Data:SPSS analyses were conducted on wind speeds gathered from 82 locations, both with and without wind turbines, and corresponding tables and graphics were generated.
💡
Conclusion & Impact:Upon analysis of the data in the Eastern Anatolia region, when juxtaposed with the average data, it was clear that wind turbines can be installed in some places in the Eastern Anatolia region.
🔬Design:Araştırma Makalesi
📍Scope:2013 Verileri
⚙️Variables:Rüzgâr enerjisi 1 · Weibull dağılımı 2 · SAS programı 3

Abstract

The current article aimed to analyze wind data in locations where wind turbines were located in various regions of Turkey between 2013 and 2022. Additionally, the goal was to compare this data with the wind data collected from OMGI devices positioned in locations within the Eastern Anatolia region devoid of wind turbines yet anticipated to experience robust wind conditions. This analysis showed that wind turbines could be installed in the high-wind areas of the Eastern Anatolia region, where wind turbines were unavailable. Omni devices were placed in these regions by the state meteorology institution to determine the wind speeds of these regions, and wind speed data were obtained from these points. SPSS analyses were conducted on wind speeds gathered from 82 locations, both with and without wind turbines, and corresponding tables and graphics were generated. The findings from the analyses conducted on these graphs and tables have been interpreted. Upon analysis of the data in the Eastern Anatolia region, when juxtaposed with the average data, it was clear that wind turbines can be installed in some places in the Eastern Anatolia region.

Özet

Bu makalede, 2013-2022 yılları arasında Türkiye'nin çeşitli bölgelerinde rüzgâr türbinlerinin bulunduğu lokasyonlardaki rüzgâr verilerinin analizi amaçlanmıştır. Ayrıca, bu verilerin, rüzgâr türbinleri olmayan ancak güçlü rüzgâr koşullarının olduğu beklenen Doğu Anadolu bölgesindeki lokasyonlara yerleştirilen OMGI cihazlarından toplanan rüzgâr verileriyle karşılaştırılması amaçlanmıştır. Bu analiz, rüzgâr türbinlerinin bulunmadığı Doğu Anadolu bölgesinin yüksek rüzgârlı bölgelerine rüzgâr türbinlerinin kurulabileceğini göstermiştir. Bu bölgelerin rüzgâr hızlarını belirlemek için Devlet Meteoroloji Kurumu tarafından bu bölgelere Omni cihazları yerleştirilmiş ve bu noktalardan rüzgâr hızı verileri elde edilmiştir. Rüzgâr türbinli ve türbinsiz olmak üzere toplam 82 lokasyondan toplanan rüzgâr hızları üzerinde SPSS analizleri yapılmış ve ilgili tablolar ve grafikler oluşturulmuştur. Bu grafik ve tablolar üzerinde yapılan analizlerden elde edilen bulgular yorumlanmıştır. Doğu Anadolu bölgesindeki veriler analiz edildiğinde, ortalama verilerle karşılaştırıldığında, Doğu Anadolu Bölgesi'ndeki bazı yerlere rüzgâr türbinlerinin kurulabileceği açıkça görülmüştür.

🔖

Cite This Article

Ekinci, N., Kaşali, K., Özpolat, Ö. F. (2026). Assessment of Wind Energy Potential Across Various Regions of Turkey. Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 19 Sayı: 2, 262–272. https://doi.org/10.18185/erzifbed.1763494

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (16)

  1. Uçar, A., and Balo, F., (2009) Evaluation of wind energy potential and electricity generation at six locations in Turkey. Appl. Ener., 86, 1864-1872. DOI: 10.1016/j.apenergy.2008.12.016, 2009.
  2. Gökçek, M., Bayülken, A., Bekdemir, Ş., (2007) Investigation of wind characteristics and the wind energy potential in Kirklareli, Turkey. Renewable Energy, 32, 1739–1752. DOI: 10.1016/j.renene.2006.11.017
  3. Akpınar, E.K., (2006) A Statistical Investigation of Wind Energy Potential. Energy Sources, Part A, 28, 807–820. DOI: 10.1080/009083190928038
  4. Mostafaeipour, A., Jadidi, M., Mohammadi, K., Sedaghat, M.A., (2014) An analysis of wind energy potential and economic evaluation in Zahedan, Iran. Renewable and Sustainable Energy Reviews, 30, 641-650. DOİ: 10.1016/j.rser.2013.11.016.
  5. Raja, I.A., and Abro, R.S., (1994) Solar and wind energy potential and utilization in Pakistan. Renewable Energy, 5, 583-586, DOİ: 10.1016/0960-1481(94)90439-1
  6. Ramachandra, T.V., Shruthi, B.V., (2005) Wind energy potential mapping in Karnataka, India, using GIS. Energy Conversion and Management, 6, 1561–1578, DOİ: 10.1016/j.enconman.2004.07.009 [7] Shu, Z.R., Li, Q.S., Chan, P.W., (2015) Statistical analysis of wind characteristics and the wind energy potential in Hong Kong. Energy Conversion and Management, 101, 644-657, DOİ: 10.1016/j.enconman.2015.05.070
  7. Gomez, M.S., and Lundquist, J.K., (2020) The effect of wind direction shear on turbine performance in a wind farm in central Iowa. Wind Energy Science, 5. DOI: 10.5194/wes-5-125-2020
  8. Bardal, L.M., Sætran, L.R., and Wangsness, E., (2015) Performance Test of a 3MW Wind Turbine Effects of Shear and Turbulence. Energy Procedia, 80, 83–9, DOI: 10.1016/j.egypro.2015.11.410.
  9. Van den Berg, G.P., (2008) Wind turbine power and sound about atmospheric stability. Wind Energy, 11, 151–169. DOI: 10.1002/we.240,
  10. Kaiser, K., Langreder, W., Hohlen, H., and Hojstrup, J., (2007) Turbulence Correction for Power Curves, in Wind Energy. Edited by: Peinke, J., Schaumann, P., and Barth, S., Springer, Berlin, Heidelberg, 159–162.
  11. Rareshide, E., Tindal, A., Johnson, C., Graves, A., Simpson, E., Bleeg, J., Harris, T., and Schoborg, D., (2009) Effects of Complex Wind Regimes on Turbine Performance. Scientific proceedings, American Wind Energy Association WINDPOWER Conference, Chicago, Ill., USA,
  12. St. Martin, C.M., Lundquist, J.K., Clifton, A., Poulos, G.S., and Schreck, S.J., (2016) Wind turbine power production and annual energy production depend on atmospheric stability and turbulence, Wind Energy Sci., 1, 221–236, DOI: 10.5194/wes-1- 221-2016
  13. Sumner, J., and Masson, C., (2006) Influence of Atmospheric Stability on Wind Turbine Power Performance Curves. J. Sol. Energy. Eng., 128, 531–538. DOI: 10.1115/1.2347714, 2006
  14. Van der Wend, B.J., and Lundquist, J.K., (2012) The modification of wind turbine performance by statistically distinct atmospheric regimes. Environ. Res. Lett., 7. DOI: 10.1088/1748-9326/7/3/034035, 2012
  15. Wagner, R., Courtney, M., Larsen, T. J., and Schmidt Paulsen, U., (2010) Simulation of shear and turbulence impact on wind turbine performance. Danmarks Tekniske Universitet, Denmark, available at: http://orbit.dtu.dk/files/4550246/ris-r-1722.pdf (last access: 22 March 2019). [17] Walter, K., Weiss, C.C., Swift, A.H.P., Chapman, J., and Kelley, N.D., (2009) Speed and Direction Shear in the Stable Nocturnal Boundary Layer. J. Sol. Energy. Eng., 131, 011013. DOI: 10.1115/1.3035818, 2009.
  16. Wharton, S., and Lundquist, J.K., (2012) Atmospheric stability affects wind turbine power collection. Environ. Res. Lett., 7, 014005, DOI: 10.1088/1748-9326/7/1/014005, 2012b.