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How does wind farm performance decline with age?

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Abstract

Ageing is a fact of life. Just as with conventional forms of power generation, the energy produced by a wind farm gradually decreases over its lifetime, perhaps due to falling availability, aerodynamic performance or conversion efficiency. Understanding these factors is however complicated by the highly variable availability of the wind.

Suggested Citation

  • Staffell, Iain & Green, Richard, 2014. "How does wind farm performance decline with age?," Renewable Energy, Elsevier, vol. 66(C), pages 775-786.
  • Handle: RePEc:eee:renene:v:66:y:2014:i:c:p:775-786
    DOI: 10.1016/j.renene.2013.10.041
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    References listed on IDEAS

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    1. Green, Richard & Vasilakos, Nicholas, 2010. "Market behaviour with large amounts of intermittent generation," Energy Policy, Elsevier, vol. 38(7), pages 3211-3220, July.
    2. Fox, Neil I., 2011. "A tall tower study of Missouri winds," Renewable Energy, Elsevier, vol. 36(1), pages 330-337.
    3. Kubik, M.L. & Coker, P.J. & Barlow, J.F. & Hunt, C., 2013. "A study into the accuracy of using meteorological wind data to estimate turbine generation output," Renewable Energy, Elsevier, vol. 51(C), pages 153-158.
    4. Schallenberg-Rodriguez, Julieta, 2013. "A methodological review to estimate techno-economical wind energy production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 272-287.
    5. Conroy, Niamh & Deane, J.P. & Ó Gallachóir, Brian P., 2011. "Wind turbine availability: Should it be time or energy based? – A case study in Ireland," Renewable Energy, Elsevier, vol. 36(11), pages 2967-2971.
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