Analysis and Prediction of Winds at a Large Inland Wind Farm: State of the Art Modeling Tools and Challenges

摘要：

Accurate wind and severe-weather forecasts are crucial for wind-energy production and gridload management. Current wind forecast methods rely on statistical approaches that do not deal directly with weather processes. Currently employed numerical weather prediction (NWP) models are deemed insufficiently accurate for wind power prediction, even though they have been used for such applications. The reason is partly because the NWP products used for power forecasting are typically produced with coarse-resolution models, or their initial conditions do not contain local weather information.

作者: Yubao Liu Dave Johnson Scott Swerdlin Claire Vincent Matt Pocernich Marcia Politovich Keith Parks Yih-huei Wan Tom Warner Bill Mahoney Will Y.Y. Cheng Yuewei Liu Gregory Roux Luca Delle Monache Wanli Wu Gerry Wiener

作者单位: RAL, National Center for Atmospheric Research, Boulder, CO Xcel Energy, Denver, CO National Renewable Energy Laboratory, Golden, CO

会议类型: 国际会议

会议名称: 2010 北京国际风能大会

会议地点: 北京

会议语种:英文

页码: 197-203

在线出版日期: 2010-10-13（万方平台首次上网日期，不代表论文的发表时间）