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Wind energy potential estimation and micrositting on Izmir Institute of Technology Campus, Turkey

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  • Ozerdem, B.
  • Turkeli, H.M.

Abstract

The aim of this study was to predict the wind energy content over the campus area of Izmir Institute of Technology. The wind data were collected at 10 and 30m mast heights for a period of 16 months. Mean wind speeds were 7.03 and 8.14m/s at 10 and 30m mast heights, respectively. The ‘WAsP’ and ‘WindPRO’ softwares were used for the wind statistics and energy calculations. Suitable sites were selected according to the created wind power and energy maps. Wind turbines with nominal powers between 600 and 1500kW were established for annual energy production calculations and best fitted ones were used for the micrositting.

Suggested Citation

  • Ozerdem, B. & Turkeli, H.M., 2005. "Wind energy potential estimation and micrositting on Izmir Institute of Technology Campus, Turkey," Renewable Energy, Elsevier, vol. 30(10), pages 1623-1633.
    • Handle: RePEc:eee:renene:v:30:y:2005:i:10:p:1623-1633
    DOI: 10.1016/j.renene.2004.11.010
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    1. Tolun, S. & Menteş, S. & Aslan, Z. & Yükselen, M.A., 1995. "The wind energy potential of Gökçeada in the Northern Aegean Sea," Renewable Energy, Elsevier, vol. 6(7), pages 679-685.
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    Cited by:

    1. Yaniktepe, B. & Koroglu, T. & Savrun, M.M., 2013. "Investigation of wind characteristics and wind energy potential in Osmaniye, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 703-711.
    2. Montes, German Martinez & Martin, Enrique Prados & Bayo, Javier Alegre & Garcia, Javier Ordoñez, 2011. "The applicability of computer simulation using Monte Carlo techniques in windfarm profitability analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4746-4755.
    3. Gökçek, Murat & Genç, Mustafa Serdar, 2009. "Evaluation of electricity generation and energy cost of wind energy conversion systems (WECSs) in Central Turkey," Applied Energy, Elsevier, vol. 86(12), pages 2731-2739, December.
    4. Azraff Bin Rozmi, Mohd Daniel & Thirunavukkarasu, Gokul Sidarth & Jamei, Elmira & Seyedmahmoudian, Mehdi & Mekhilef, Saad & Stojcevski, Alex & Horan, Ben, 2019. "Role of immersive visualization tools in renewable energy system development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    5. Gökçek, Murat & Bayülken, Ahmet & Bekdemir, Şükrü, 2007. "Investigation of wind characteristics and wind energy potential in Kirklareli, Turkey," Renewable Energy, Elsevier, vol. 32(10), pages 1739-1752.
    6. Ahmed Shata, A.S. & Hanitsch, R., 2008. "Electricity generation and wind potential assessment at Hurghada, Egypt," Renewable Energy, Elsevier, vol. 33(1), pages 141-148.
    7. Navarro Diaz, Gonzalo P. & Saulo, A. Celeste & Otero, Alejandro D., 2021. "Full wind rose wind farm simulation including wake and terrain effects for energy yield assessment," Energy, Elsevier, vol. 237(C).
    8. Soler-Bientz, Rolando, 2011. "Preliminary results from a network of stations for wind resource assessment at North of Yucatan Peninsula," Energy, Elsevier, vol. 36(1), pages 538-548.
    9. Ahmed, Ahmed Shata, 2010. "Wind energy as a potential generation source at Ras Benas, Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2167-2173, October.
    10. M.Z. Ibrahim & A. Albani, 2014. "The Potential of Wind Energy in Malaysian Renewable Energy Policy: Case Study in Kudat, Sabah," Energy & Environment, , vol. 25(5), pages 881-898, July.

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