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An investigation of wind characteristics on the campus of Izmir Institute of Technology, Turkey

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  • Ozerdem, B
  • Turkeli, M

Abstract

The European Wind Atlas shows a very high wind energy capacity over the Aegean Sea and its coastal regions. Therefore, the western region of Turkey, which has a long coast along the Aegean Sea, appears to have high potential of wind energy. As a result of this fact, several studies have been performed to estimate the wind potential, especially, in western Turkey. However, due to the absence of a reliable and accurate Wind Atlas of Turkey, further studies on the assessment of wind energy in Turkey are necessary. In this study, the characteristics of wind on the campus of Izmir Institute of Technology, located in Cesme peninsula which has long coastline along the Aegean Sea, were studied over a period of one year. Measured data set and its evaluation showed that Izmir Institute of Technology campus area has a considerable wind energy potential. The study presented here is an attempt to promote wind energy in Turkey and to bridge the gap in order to create prospective Turkish Wind Atlas.

Suggested Citation

  • Ozerdem, B & Turkeli, M, 2003. "An investigation of wind characteristics on the campus of Izmir Institute of Technology, Turkey," Renewable Energy, Elsevier, vol. 28(7), pages 1013-1027.
    • Handle: RePEc:eee:renene:v:28:y:2003:i:7:p:1013-1027
    DOI: 10.1016/S0960-1481(02)00155-6
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    References listed on IDEAS

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    Cited by:

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    9. Kenisarin, Murat & KarslI, Vedat M. & Çaglar, Mehmet, 2006. "Wind power engineering in the world and perspectives of its development in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 341-369, August.
    10. Oluseyi O. Ajayi & Richard O. Fagbenle & James Katende & Julius M. Ndambuki & David O. Omole & Adekunle A. Badejo, 2014. "Wind Energy Study and Energy Cost of Wind Electricity Generation in Nigeria: Past and Recent Results and a Case Study for South West Nigeria," Energies, MDPI, vol. 7(12), pages 1-27, December.
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    12. Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
    13. Pishgar-Komleh, S.H. & Keyhani, A. & Sefeedpari, P., 2015. "Wind speed and power density analysis based on Weibull and Rayleigh distributions (a case study: Firouzkooh county of Iran)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 313-322.
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