<

This Article Statistics
Viewed : 2372 Downloaded : 1554


 

The Investigation of The Wind Energy Potential of The Belen Region and The Comparison of The Wind Turbine with The Production Values

Fatih Peker, Cuma Karakus*, Ä°lker Mert

Abstract

In this study, the potential of wind energy has been investigated in Belen region of Hatay province between 2013-2016. As a result of the study, it was aimed to compare the real field conditions with the predicted values and to enlighten the error analysis of the pre-feasibility reports of the investors who will invest in the region. In the research area, the annual production values are based on a known reference wind turbine. This wind turbine, which is already installed, has been analyzed with computer aided software considering environmental factors. Wind speed, temperature and pressure data were obtained from Belen Meteorology station, which is very close to the area where the turbine is located. The topographical data of the turbine and meteorological station were evaluated by using the WaSP (Wind Atlas Analysis and Application) program using the vector elevation maps of Hatay region. A wind atlas map of the region was created with the WaSP program. Considering the classification requirements of the European Wind Energy Association, it was evaluated that, Belen region could be included in the classes rated as good and very good.

Keywords

WAsP, Belen, Wind, Energy, Weibull Distribution

Volume 3, No 3, SUPPLEMENT I of SYMPOSIUM ARTICLES, pp 65-78, 2018



Download full text   |   How to Cite   |   Download XML Files

References
  • Bilgili, M., Åžahin, B., & Kahraman, A. (2004). Wind energy potential in Antakya and Iskenderun regions, Turkey. Renewable Energy, 29(10), 1733-1745.
  • Bilgili, M., Åžahin, B., & ÅžimÅŸek, E. (2010). Turkey, South, Southwest and Wind Energy Potential in the Western Region. Journal of Heat Science and Technology, 30 (1), 1-12.
  • Bilgili, M., Simsek, E., Sahin, B., Yasar, A., & Ozbek, A. (2015). Estimation of human heat loss in five Mediterranean regions. Physiology & behavior, 149, 61-68.
  • Mert, Ä°., KarakuÅŸ, C., & Peker, F. (2014). Antakya bölgesi rüzgar karakteristiÄŸinin incelenmesi. DÃœ Mühendislik Dergisi, 5(1), 13-22.
  • Mert, Ä°., KarakuÅŸ, C., & ÃœneÅŸ, F. (2016). Estimating the energy production of the wind turbine using artificial neural network. Neural Computing and Applications, 27(5), 1231-1244.
  • MGM. https://www.mgm.gov.tr/genel/ruzgar-atlasi.aspx (25/10/2018).
  • MEVBIS Data order information No. 201710025E41 of the General Directorate of Meteorology (25/10/2018).
  • Mortensen, N. G. (2016). Wind resource assessment using the WAsP software (DTU Wind Energy E-0135). Technical University of Denmark (DTU). DTU Wind Energy E, No. 0135
  • Pusat, Åž. (2017). A study of wind energy potential for Sakarya University. Pamukkale University Journal of Engineering Sciences, 23 (4), 352-357.
  • Tanç B., Mert, Ä°., Arat, H. T., KarakuÅŸ, C., & BaltacıoÄŸlu, E. (2014). Estimation of wind energy potential using WAsP in Hatay Airport region. International Journal, 2(2), 2311-2484.
  • Tureb,a.https://www.tureb.com.tr/files/yayinlar/tureb_ruzgar_enerjisi_ve_etkilesim_raporu.pdf (25/10/2018).
  • Tureb,b.https://www.tureb.com.tr/files/tureb_sayfa/duyurular/2018/03/turkiye_ruzgar_enerjisi_istatistik_raporu_ocak_2018.pdf (20/10/2018).
  • Vestas. Vestas V90 3MW 50 Hz Product Brochure. Available at: http://www.vestas.com/Admin/Public/DWSDownload.aspx?File=%2fFiles%2fFiler%2fEN%2fBrochures%2fProductbrochureV90_3_0_UK.pdf, http://arquivo.pt/wayback/20090706121351/ (25/10/2018).
  • Wasp. http://www.wasp.dk/wasp (25/10/2018).
  • WEEO (2018). Wind energy in Europe: Outlook to 2022. https://windeurope.org/members-area/files/protected/market-intelligence/reports/Wind-energy-in-Europe-Outlook-to-2022.pdf (25/10/2018).
  • WWEA. World Wind Energy Association 2017 Statistic https://wwindea.org/blog/2018/02/12/2017-statistics/ (25/10/2018)