The impact of model physics on numerical wind forecasts

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

Renewable Energy, 2013, vol. 55, issue C, 347-356

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.

Keywords: WRF; NWP forecast; Wind energy; Physics sensitivity (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:55:y:2013:i:c:p:347-356

DOI: 10.1016/j.renene.2012.12.041

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