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中国沙漠 ›› 2011, Vol. 31 ›› Issue (3): 793-798.

• 天气与气候 • 上一篇    下一篇

青海西部黄瓜梁地区风能资源的观测与评估

李应业1,2, 时兴合1,2, 戴 升1,2, 汪青春1,2   

  1. 1.青海省气候中心, 青海 西宁 810001; 2.青海省气候变化监测评估中心, 青海 西宁 810001
  • 收稿日期:2010-10-17 修回日期:2010-12-29 出版日期:2011-05-20 发布日期:2011-05-20

Measurement and Evaluation of Wind Energy Resource in Huanggualiang, Qinghai, China

LI Ying-ye1,2, SHI Xing-he1,2, DAI Sheng1,2, WANG Qing-chun1,2   

  1. 1.Qinghai Climate Centre, Xining 810001, China; 2.Qinghai Climate Change Monitoring and Evaluation Center, Xining 810001, China
  • Received:2010-10-17 Revised:2010-12-29 Online:2011-05-20 Published:2011-05-20

摘要: 塔的观测资料,计算了风速、平均风功率密度等参数,利用风能评估方法分析了风能参数、风向频率的变化规律及其特征。结果表明,观测年度10~100 m年平均风速和年平均风功率密度分别在4.0~5.2 m·s-1、83.5~200.2 W·m-2之间,且随高度的升高而增大。测风塔各高度3~25 m·s-1风速的时数在4 560~5 316 h之间,最多风向为偏西北风、次多风向为偏东北风。风能密度主要集中在W—NNW和NNE—NE扇区,累积频率分别达60%和29%。观测年50 m高度风速距平百分率偏小(-5.15%),长年代校正的年平均风功率密度值为192.3 W·m-2,达到了1级(<200 W·m-2)并网型风力发电的风电场等级标准,指示这个区域的风能资源比较丰富。

关键词: 风能资源, 评估, 黄瓜梁, 青海

Abstract: Wind velocity and average wind power density were calculated based on wind tower data from June 2009 to May 2010 in Huanggualiang, Qinghai. Wind energy evaluation methods were used to analyze the variation and characteristics of various wind energy parameters and frequencies of wind directions. During the measurement period, the annual average wind velocity and wind power density in 10~100 m height is at 4.0~5.2 m·s-1 and 83.5~200.2 W·m-2 respectively, and the rise with height is noted too. Hours of wind velocity between 3~25 m·s-1 in all heights of the wind tower is between 4 560 and 5 316 hours, and the wind most frequently come from west, secondly from northeast. Wind energy is concentrated in W—NNW and NNE-NE sectors, and the accumulated frequencies can reach 60% and 29% respectively. The wind velocity anomaly percentage in 50 m height during the research period is relatively small (-5.15%), and annual average wind power density over decades is 192.3 W·m-2, reaching the Level 1(<200 W·m-2)of grid-connected wind energy standards, indicating that this area is rich in wind energy.

Key words: wind energy resource, evaluation, Huanggualiang region, Qinghai

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