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Estimation of wind energy production in various sites in Australia for different wind turbine classes: A comparative technical and economic assessment

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  • Katsigiannis, Yiannis A.
  • Stavrakakis, George S.

Abstract

This study examines the effect of different wind turbine classes on the electricity production of wind farms in three areas of Australia, which present low, low to medium, and medium to high wind potential: Gingin, Armidale, and Gold Coast Seaway. Wind turbine classes determine the suitability of installing a wind turbine in a particulate site. Wind turbine data from six different manufacturers have been used. For each manufacturer, at lest two wind turbines with identical rated power (in the range of 1.5 MW–3 MW) and different wind turbine classes (IEC I, IEC II and/or IEC III) are compared. The results show the superiority of wind turbines that are designed for lower wind speeds (higher IEC class) in all three locations, in terms of energy production. This improvement is higher for the locations with lower and medium wind potential (Gingin and Armidale), and varies from 5% to 55%. Moreover, this study investigates the economical feasibility of a 30 MW wind farm, for all combinations of site locations and wind turbine models.

Suggested Citation

  • Katsigiannis, Yiannis A. & Stavrakakis, George S., 2014. "Estimation of wind energy production in various sites in Australia for different wind turbine classes: A comparative technical and economic assessment," Renewable Energy, Elsevier, vol. 67(C), pages 230-236.
    • Handle: RePEc:eee:renene:v:67:y:2014:i:c:p:230-236
    DOI: 10.1016/j.renene.2013.11.051
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    References listed on IDEAS

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    1. Valentine, Scott, 2010. "Braking wind in Australia: A critical evaluation of the renewable energy target," Energy Policy, Elsevier, vol. 38(7), pages 3668-3675, July.
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    Cited by:

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    4. Kim, Hyeonwu & Kim, Bumsuk, 2016. "Wind resource assessment and comparative economic analysis using AMOS data on a 30 MW wind farm at Yulchon district in Korea," Renewable Energy, Elsevier, vol. 85(C), pages 96-103.
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    9. Savino, Matteo M. & Manzini, Riccardo & Della Selva, Vincenzo & Accorsi, Riccardo, 2017. "A new model for environmental and economic evaluation of renewable energy systems: The case of wind turbines," Applied Energy, Elsevier, vol. 189(C), pages 739-752.
    10. Kazak, Jan & van Hoof, Joost & Szewranski, Szymon, 2017. "Challenges in the wind turbines location process in Central Europe – The use of spatial decision support systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 425-433.
    11. Chih-Chun Kung & Li-Jiun Chen & Tsung-Ju Lee & Xianling Jiang & Ruiqi Lin, 2019. "Wind power potential for energy sustainability and climate change mitigation: A case study in Taiwan," Energy & Environment, , vol. 30(2), pages 304-321, March.
    12. Bromley-Dulfano, Isaac & Florez, Julian & Craig, Michael T., 2021. "Reliability benefits of wide-area renewable energy planning across the Western United States," Renewable Energy, Elsevier, vol. 179(C), pages 1487-1499.

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