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投稿时间:2008-03-18 修订日期:2008-12-09
投稿时间:2008-03-18 修订日期:2008-12-09
中文摘要: 根据多个复杂地形风电场观测操作实践和大量观测数据的计算分析,提出了对观测数据和计
算质量精度控制的主要措施,包括:复杂地形测风站布设的5个原则,仪器的合理选型和设
置;对由于测风仪固有的系统误差和缺测数据的插补
订正可能引起的计算误差进行了定量估算,通过对大量实测数据的对比计算显示:①目前普
遍采用的进口风速计的相对偏差在1.6%~5.25%之间,由此可导致轮毂高度附近的年平均
风功率密度误差在5%以上,最大达13.8%;②在季风气候区、复杂地形和风的年变率较大
的地区,进行缺测数据插补订正时,应选取同季或同一主导风向的数据作为插补订正的基础
数据,否则可能导致其平均风功率密度相对误差达20%~50%。
Abstract:Accuracy on measurements and computational results of wind energy reso
urce is one of the key factors for successful investment in wind power projects.
Meanwhile, the precision of measurements and calculation of the wind energy res
ource are primarily dependent on the terrain topography around the wind power fa
cilities, distribution of the wind observing stations in the field, performance
of observational instruments, and installation of these instruments.
Based on field measurements and analyses of a number of wind power faci
lities, in particular
over complex terrains, several major measures are proposed on t
he quality control of observation data and computational precision. They include
5 principles on distribution of wind measurement stations over complex terra
in, reasonable selection and appropriate parameter setting of instruments. Furthermore, quantitative estimations proceeded on systematic errors inherent i
n the anemometers, and computational errors possibly arisen from interpolation o
f data series for data void points. The computational results based on large qua
ntity of field measurements show that: (1) the relative deviations of the import
e
d anemometers currently in common use are contained between 1.6% and 5.25%, a
nd therefore it may produce over 5%, with maximum 13.8%, of the power density er
ror of annual mean wind near the top of wind mill. (2) In the zones with monsoon
climate, complex topography and significant annual variation of winds, the data
observed in the same season or under the same dominant wind direction should be
chosen as base data for interpolation, correction of the data void points
, and/or for extrapolation of the time series of the data. Otherwise, the relati
ve error of the power density of the mean winds may reach as large as 20%~50%.
文章编号: 中图分类号: 文献标志码:
基金项目:国家自然科学基金项目“登陆台风近地层风特性及致灾机理研究”(40775071),广东省科技
厅科技攻关课题“广东省海上风电场选址标准及资源评估技术”(2005B32601010)共同资助
。
引用文本:
宋丽莉,黄浩辉,植石群,钱光明,2009.风电场风资源测量与计算的精度控制[J].气象,35(3):73-80.
Song Lili,Huang Haohui,Zhi Shiqun,Qian Guangming,2009.Guangdong Climate Centre, Guangzhou 510080[J].Meteor Mon,35(3):73-80.
宋丽莉,黄浩辉,植石群,钱光明,2009.风电场风资源测量与计算的精度控制[J].气象,35(3):73-80.
Song Lili,Huang Haohui,Zhi Shiqun,Qian Guangming,2009.Guangdong Climate Centre, Guangzhou 510080[J].Meteor Mon,35(3):73-80.