中文摘要：

风能是一种重要气候资源,随着我国风电规模的迅速增大,发展风能资源评估系统和风功率预测系统已成为一项重要的研究内容.国内外对复杂地形风场结构的数值模拟有大量研究,随着计算机能力增强,以往用于空气动力学精细流场计算的计算流体力学（Computational Fluid Dynamics,CFD）模式越来越多地在气象领域得到应用,人们开始研究用中尺度预报模式和CFD模式结合进行复杂地形风场的数值模拟.本文的耦合模式系统采用中尺度气象模式（WRF）,通过嵌套网格到内层尺度（一般是几公里）,然后通过耦合CFD模式Fluent软件获得高分辨率（水平30～100 m,垂直150 m高度以下10 m）的风速分布资料,得到精细化的风场信息.通过对鄱阳湖北部区域和云南杨梅山复杂地形的风场模拟,提供了风能评估和预报的一种可行的方法.

英文摘要：

Wind is an available main form of renewable energy. Following the development of installed capacity growth in China, an improvement is needed in wind resource assessment and wind power forecasting techniques. Numerous studies on the numerical simulation of complex terrain flow fields have been conducted worldwide. With the increasing capacity of numerical calculation, Computational Fluid Dynamics （CFD） models have been used in the meteorological field and are coupled with mesosacle models to simulate the flow fields on complex terrains. In this paper, a coupled model system for wind resource assessment was studied. In this study, a mesoscale meteorological model, the Weather Research and Forecasting （WRF） model, was used to downscale data from the global scale to the inner nested grid scale of a few kilometers and was then coupled with the Fluent method. High-resolution results of wind speed distribution data and refined wind farm information were obtained. The refined WRF/Fluent system was then applied to the complex terrain flow field of the Poyang Lake region and Yangmeishan in Yunnan. The results showed that this approach is viable for the assessment and forecasting of wind energy.