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The impact of model physics on numerical wind forecasts

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  • Cheng, William Y.Y.
  • Liu, Yubao
  • Liu, Yuewei
  • Zhang, Yongxin
  • Mahoney, William P.
  • Warner, Thomas T.

Abstract

Fine scale numerical weather prediction (NWP) models are now widely applied to predict power production at wind farms. Given the fact that demand for specialized forecasts for wind farms is growing, it is important to understand the strengths and limitations of NWP models for producing wind forecasts. This paper seeks to partially fulfill this goal by exploring the sensitivity of NWP-based wind forecasts to the choice of model physics schemes. The authors used two distinct case studies to explore these sensitivities with a NWP model used in realtime wind power forecast, where the underlying meteorology in both cases had a profound impact on the wind ramp-up of a wind farm in Northern Colorado. The first case was a strong cold frontal system moving through the wind farm during winter, and the second case was for a line of strong thunderstorms passing through the wind farm during summer. The model results were compared with observed hub-height wind.

Suggested Citation

  • Cheng, William Y.Y. & Liu, Yubao & Liu, Yuewei & Zhang, Yongxin & Mahoney, William P. & Warner, Thomas T., 2013. "The impact of model physics on numerical wind forecasts," Renewable Energy, Elsevier, vol. 55(C), pages 347-356.
    • Handle: RePEc:eee:renene:v:55:y:2013:i:c:p:347-356
    DOI: 10.1016/j.renene.2012.12.041
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    References listed on IDEAS

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    1. Lazić, Lazar & Pejanović, Goran & Živković, Momčilo, 2010. "Wind forecasts for wind power generation using the Eta model," Renewable Energy, Elsevier, vol. 35(6), pages 1236-1243.
    2. Foley, Aoife M. & Leahy, Paul G. & Marvuglia, Antonino & McKeogh, Eamon J., 2012. "Current methods and advances in forecasting of wind power generation," Renewable Energy, Elsevier, vol. 37(1), pages 1-8.
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