ASSESSMENT OF WIND CHARACTERISTICS AND WIND ENERGY POTENTIAL IN WEST BLACK SEA REGION OF TURKEY
Abstract
In this study, wind characteristics and wind energy potential of seven cities from The West of Black Sea Region in Turkey were analyzed. The wind data were obtained by National State Meteorological Service. It was measured at 10 meters’ height in the date range 2010-2014. Weibull probability density function was calculated and estimated Weibull shape parameter k and scale parameter c, with the data for those locations. According to the power calculations of the region, annual mean power densities of Zonguldak, Bartın, Kastamonu, Bolu, Karabük, Düzce and Sinop were calculated as 105 W/m2, 37,4 W/m2, 40 W/m2, 27,15 W/m2, 27 W/m2, 26,3 W/m2 and 209 W/m2 at the height of 50 m, respectively. The results show that, the region has not enough wind energy potential considering investment on wind power energy except Sinop.
Keywords
References
- [1] Global Wind 2015 Report, [Online] : 31.10.2018. http://www.gwec.net/publications/global-wind-report-2/global-wind-report-2015-annual-market-update/.
- [2] T.C. Enerji Bakanlığı, Strateji Geliştirme Daire Başkanlığı. Dünya ve Türkiye Enerji Kaynakları Görünümü; 3: 26., [Online]: 09.09.2016. http://www.enerji.gov.tr/tr-TR/Enerji-ve-Tabii-Kay¬naklar-Gorunumleri.
- [3] Köse B. Ruzgar Hiz ve Potansiyelinin Stokastik Sureclerle Modellenerek Karabuk Ilinde Uygulanmasi, Doktora Tezi. Fen Bilimleri Enstitüsü, Karabük Üniversitesi, 2018.
- [4] Köse B, Atila Ü, Güneşer MT, Recebli Z. An Approach to Estimate Hourly & Daily Mean Wind Speed and Comparison with Artificial Neural Network. In: 10th International Clean Energy Symposium, 24-26 October 2016; İstanbul.
- [5] Gökçek M, Bayülken A, Bekdemir Ş. Investigation of wind characteristics and wind energy potential in Kirklareli, Turkey, Renewable Energy 2007; 32:1739-1752.
- [6] Carta JA, Ramirez P, Velazquez S. A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands. Renewable and Sustainable Energy Reviews 2009; 13(5): 933-955.
- [7] Fyrippis AI, Axaopoulos PJ, Panayiotou G. Wind energy potential assessment in Naxos Island–Greece. Appl Energy 2010; 87(2): 577–586.
- [8] Weigt, H. Germany's wind energy: the potential for fossil capacity replacement and cost saving. Applied Energy 2009; 86: 1857–1863, doi: 10.1016/j.apenergy.2008.11.031.
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
September 26, 2019
Submission Date
November 1, 2018
Acceptance Date
August 1, 2019
Published in Issue
Year 2019 Volume: 20 Number: 3
Cited By
Rüzgar hız dağılımı modelinin Yusufcuk algoritması ile parametre tahminlemesi
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi
https://doi.org/10.17341/gazimmfd.935689Comparative Analysis of LSTM Architectures for Wind Speed Forecasting: A Case Study in Muş, Turkey
Türk Doğa ve Fen Dergisi
https://doi.org/10.46810/tdfd.1525648Rüzgâr Enerji Santrallerinin Kuruluş Yeri Seçiminde CBS, Çok Kriterli Karar Verme Analizi ve Bulanık Mantık Yönteminin Kullanılması: Kastamonu ili Örneği
Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi
https://doi.org/10.53433/yyufbed.1563665