北京大学学报(自然科学版)

江苏环港风电场风能资源特征分析

王烨芳1,2,李成才1,石光明1,李建1,李五生1,李树勇2,王威2   

  1. 1. 北京大学物理学院大气与海洋科学系, 北京 100871; 2. 中国白城兵器试验中心, 白城 137001;
  • 收稿日期:2012-11-14 出版日期:2013-11-20 发布日期:2013-11-20

Research on the Characteristics of Wind Energy Resources over Huangang Wind Farm in Jiangsu Province

WANG Yefang1,2, LI Chengcai1, SHI Guangming1, LI Jian1, LI Wusheng1, LI Shuyong2, WANG Wei2   

  1. 1. Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871; 2. Baicheng Ordnance Test Center of China, Baicheng 137001;
  • Received:2012-11-14 Online:2013-11-20 Published:2013-11-20

摘要: 利用江苏环港风电场一座测风塔2010年12月至2011年11月的逐10 min实时观测数据, 对该地区风能资源特征进行综合分析, 得到该站点10, 50, 70和80 m高度的年平均风速为4.0~6.1 m/s, 年平均风功率密度为80.4~238.4 W/m2, 年有效风功率密度为116.5~262.5 W/m2, 年有效风速小时数为5777~7845 h, 年有效风能密度为679.3~2041.5 (kW?h)/m2。全年主导风向为NNE, N和NE, 三者之和接近全年风向的三成, 主导风向的风能密度接近全年的五成, 风速主要集中在3~8 m/s, 约占全年的80%。 总体来看, 该地区风能资源丰 富, 特别是已建设风机的轮毂高度年有效风功率密度达到250 W/m2以上, 有效风速小时数接近全年的90%, 具有很高的开发利用价值。

关键词: 风电场, 风能资源, 特征参数

Abstract: Based on the analysis of wind data measured at one wind measurement tower over Huangang Wind Farm in Jiangsu Province from Dec. 2010 to Nov. 2011, it was calculated that at 10, 50, 70 and 80 m heights the annual average wind speed was 4.0?6.1 m/s, the annual average wind power density was 80.4?238.4 W/m2, the annual effective wind power density was 116.5?262.5 W/m2, the annual effective hours were 5777?7845 h, and the annual effective wind energy density was 679.3?2041.5 (kW?h)/m2. In addition, the dominant wind directions were NNE, N and NE, the sum of them took up nearly 30% of the full year wind directions, the wind energy density of the dominant wind directions accounted for almost 50% of the full year wind energy density, and the wind speed was mainly ranging from 3 to 8 m/s, about 80% of the full year wind speeds. Overall, wind energy resource was abundant in this region. Especially the hub height of the already built wind turbines had the wind power density of more than 250 W/m2, and the effective hours took up nearly 90% of the full year. Therefore, wind energy resource had a great value of development and utilization in this region.

Key words: wind farm, wind energy resource, characteristic parameters

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