中国电机工程学报2026，Vol.46Issue(2)：679-690,中插19,13.DOI:10.13334/j.0258-8013.pcsee.241623
WRF-CFD模式耦合的山地风电场非定常仿真方法与验证
Proposal and Validation of the Coupled WRF-CFD Modeling Framework for the Unsteady Wind Flow Over Complex Terrains
摘要
Abstract
Wind flow in complex terrains is characterized by strong unsteady phenomena and multi-scale characteristics,which makes accurate simulation difficult and hinders the refined assessment of wind resources.In order to take into account both the mesoscale atmospheric circulation and the microscale unsteady flow details,this paper couples the mesoscale weather research and forecasting(WRF)model and the microscale computational fluid dynamics(CFD)technology to construct an unsteady modeling framework for complex terrain wind farms.The international classic cases of Askervein Hill and Bolund Island are used as the validation cases to study the vertical distribution of mean wind speed and turbulence intensity in the complex terrain flow field,and the strategy of wind turbine layout in complex terrains is briefly analyzed.The results show that the numerical simulation results based on the coupled WRF-CFD framework for unsteady flow modeling are in good agreement with the experimental observations,and the absolute error of the wind speed is within 2m/s in the selected locations of the characteristic point,which is better than that of the mesoscale numerical simulation alone.The methodology in this paper can also provide input conditions for wind turbine design,layout,load assessment as well as wind farm operation control.关键词
风资源评估/风电场/复杂地形/中微尺度耦合/气象研究与预报模式/计算流体动力学Key words
wind resource assessment/wind farm/complex terrain/meso-microscale coupling/weather research and forecasting(WRF)model/computational fluid dynamics(CFD)分类
能源科技引用本文复制引用
马国林,宋翌蕾,田琳琳,赵宁..WRF-CFD模式耦合的山地风电场非定常仿真方法与验证[J].中国电机工程学报,2026,46(2):679-690,中插19,13.基金项目
国家自然科学基金重大研究计划培育项目(92252103) （92252103）
江苏省自然科学基金(BK20241365) （BK20241365）
江苏省卓越博士后计划项目(2023ZB383).Training Program of the Major Research Plan of the National Natural Science Foundation of China(92252103) （2023ZB383）
Natural Science Foundation of Jingsu Province(BK20241365) （BK20241365）
The Jiangsu Planned Projects for Postdoctoral Science Foundation(2023ZB383). （2023ZB383）
