摘要
在进行高海拔山区风资源评估时,由于山区复杂的地形条件,很难从当地气象部门获得足够的风速实测数据。为了解决高海拔山区风电场宏观选址中风资源数据稀缺的问题,以美国国家环境预报中心(national centers for environmental prediction,NCEP)发布的气象数据和航天雷达地形测绘计划(shuttle radar topography mission,SRTM)获取的地形数据为数据源,选用了反距离插值法和地形权重插值法,生成考虑和不考虑地形因子的2套风速模拟数据,并将其与实测数据进行比较,探讨适用于高海拔山区的风资源评估方法。结果表明,利用地形权重插值法得到的复杂地形风速模拟数据,与云南省实测风速更吻合。因此,在当地气象资料不全时,利用NCEP气象数据结合SRTM地形数据进行风资源评估能在一定程度上满足高海拔山区风电场宏观选址的需求。
Due to the complex topography of high altitude mountain areas,it is difficult to obtain enough observed wind data from local meteorological departments.To solve the lack of data for the macrositing of wind farms in high altitude mountain area,based on NCEP （National Centers for Environmental Prediction）meteorological data and SRTM （Shuttle Radar Topography Mission）terrain data,this paper used the Inverse Distance Weight （IDW）interpolation method and Topography Weight （TW ） interpolation method to obtain two types of simulated wind speed data：with or without considering topographical factors.Then,the simulated wind speed data was compared with measured data,and the wind resource assessment method was discussed for high altitude mountain area.The results show that the simulated wind speed data by TW interpolation method is more consistent with the measured wind speed in Yunnan Province.Therefore,the wind resource assessment based on NCEP meteorological data combined SRTM terrain data can be regarded as an alternative to the macrositing of wind farms in high altitude mountain area.
出处
《电力建设》
2014年第11期112-116,共5页
Electric Power Construction
基金
国家自然科学基金(41071347)
云南省重大科技专项--新能源(2013ZB006)
关键词
风资源评估
风电场宏观选址
空间插值方法
NCEP气象数据
SRTM地形数据
高海拔山区
wind resource assessment
macrositing of wind farms
spatial interpolation method
NCEP meteorological data
SRTM terrain data
high altitude mountain area
