摘要
利用东北地区104个气象站1991~2010年观测资料和70个测风塔2009年6月~2010年5月测风资料,进行了风能资源空间分布特征分析,并利用中尺度模式WRF进行风能资源空间模拟,以研究观测站点稀少地区的风能资源分布特征。研究结果表明:1东北地区气象站和测风塔揭示的大风区域主要分布在平原和丘陵的高海拔地带。2中尺度模式WRF能够较好地模拟东北区域风速分布的气候特征,模拟结果既反映出平原大面积的大风区域,也可反映出山区因地形起伏造成的风速空间分布差异。3对风能资源参数模拟结果进行海拔高度订正,可以进一步提高模式计算结果的准确性和可靠性。4松嫩平原、辽河平原、三江平原70 m高度年平均风功率密度在300~500 W/m2之间,属于风能资源可利用区或较丰富区;在辽宁省西部、吉林省中部和黑龙江省中部丘陵以及东北地区东南部的呈东北-西南走向的中高山区的70 m年平均风功率密度可达300 W/m2以上,局部地方可达500 W/m2以上,风能资源丰富。
The data of 104 meteorological stations during 1991-2010 and the data of 70 wind towers from June2009 to May 2010 in Northeast China were used to study the spatially distributing laws of wind energy resources, and the numerical simulation WRF were applied to simulate the spatially distribution of wind energy resources. The results showed that: 1) The strong wind regions that the observation data of meteorological stations and wind towers revealed is mainly distributed in plains and high mountains. 2) The mesoscale numerical weather prediction system WRF model performs well in the simulated the wind speed distribution in Northeast China, and the large-scale strong wind regions in plains and the spatial distribution differences of wind speed caused by the mountainous terrain can be simulated. 3) The simulated results of wind energy resource parameters have been corrected with aititude to further improve the accuracy and reliability.4) The annual wind energy density of 70 m in Songnen plain, the Liaohe plain and the Sanjiang plain is between 300-500 W/m2 which belong to the regions of available or relatively abundant, and that on the hills of the west of Liaoning Province,the middle of Jilin and Heilongjiang Province and in mountain areas of the southeast in Northeast China is above 300 W/m2, and in parts of mountain areas is above 500 W/m2, belong to the abundant areas of wind energy resources.
出处
《地理科学》
CSCD
北大核心
2014年第12期1497-1503,共7页
Scientia Geographica Sinica
基金
中国气象局气候变化专项(CCSF201232)资助
关键词
风能资源
空间分布
数值模拟
风速
风功率密度
wind energy resource
spatial distribution
numerical simulation
wind speed
wind energy density
