WRF气象模式在高海拔复杂山地风电场中的应用研究  

Application Study of Weather Research and Forecasting( WRF) Model in Mountainous Wind Farm with High Altitude

作　　者：郁永静 刘志远 熊万能 YU Yongjing;LIU Zhiyuan;XIONG Wanneng(PowerChina Chengdu Engineering Corporation Limited,Chengdu 610072,Sichuan,China)

机构地区：[1]中国电建集团成都勘测设计研究院有限公司,四川成都610072

出　　处：《水力发电》2019年第1期103-106,共4页Water Power

基　　金：四川省科技支撑计划项目资助(2016GZ0148)

摘　　要：为深入研究高海拔无测风复杂地形区域风能资源评估,应用WRF气象模式进行风能资源分布模拟,并将模拟结果、MERRA数据分别与实测数据进行对比分析。研究表明,WRF模拟具有较高的模拟精度,且效果明显优于MERRA数据。WRF模式模拟值与6座测风塔实测年、月、日平均风速绝对误差均值为0. 37、0. 61 m/s和1. 36 m/s,日平均风速的相关系数均值可达0. 709 5。In order to deeply study the wind resource assessment in high-altitude mountainous wind farm without anemometer tower,the weather research and forecasting( WRF) model is used to simulate the distribution of wind energy resources,and the simulation results and MERRA data are compared with actual measured data. The comparison results show that the WRF simulation has higher accuracy and the effect is obviously better than MERRA data. The average error between WRF simulation value and measured average annual,monthly and daily wind speed of six anemometer towers is 0. 37 m/s,0. 61 m/s and 1. 36m/s respectively,and the correlation coefficient of daily average wind speed can reach 0. 709 5.

关 键 词：WRF气象模式 风能资源评估 测风塔 

分 类 号：TM315[电气工程—电机]