乌鲁木齐风能资源评估  

Energy Resource in Urumqi

作　　者：李冲[1,2] 郑源[3,4] 朱大胜[1] 刘友英[1] 李果[1] 

机构地区：[1]南京工程学院机械工程学院,江苏南京211167 [2]河海大学水利水电学院,江苏南京210098 [3]水资源高效利用与工程安全国家工程研究中心,江苏南京210098 [4]河海大学能源与电气学院,江苏南京210098

出　　处：《生态经济》2014年第12期45-48,共4页Ecological Economy

基　　金：国家自然科学基金项目(11302097);国家自然科学基金项目(51076041);江苏省博士后基金项目(1301060B)

摘　　要：为了评估乌鲁木齐的风能资源,分析了风速概率分布、风能功率密度和风能密度等模型。利用威布尔分布分析了该地区典型气象年不同月份的平均风速、标准偏差、尺度参数、形状参数、最频繁风速、最优风速、不同月份的风速和年平均风速概率分布及累积概率分布、不同月份的风能功率密度和风能密度。结果表明,乌鲁木齐地区典型气象年不同月份的平均风速、标准偏差、尺度参数、最频繁风速和最优风速的最大值都发生在11月份,最小值都发生在6月份;不同月份的风速概率分布和累积概率分布都具有相同的变化趋势;不同月份的风能功率密度和风能密度变化曲线相似,其中11月份的风能功率密度和风能密度最大,其值分别为147.87 W/m2和1295.341 k Wh/m2;6月份的风能功率密度和风能密度最小,其值分别为88.12 W/m2和771.931 k Wh/m2。In order to assess the wind resource of Urumqi, the wind speed probability distribution model, wind powerdensity model and wind energy density model are all analyzed. The average wind speed, standard deviation, dimensionparameters, the most frequent wind speed, the maximum wind speed, wind speed of different months and annual averagewind speed probability distributions and cumulative probability distributions, wind power density and wind energydensity of different months for a typical meteorological year are all analyzed by using Weibull distribution in Urumqi.The results indicate that the maximum average wind speed, standard deviation, dimension parameters, the most frequentwind speed and the maximum wind speed values of different months in a typical meteorological year are all in November, and the smallest values are in June. There is a similar tendency of wind speeds on probability and cumulative probabilitydistribution curves. At the same time, there is a similar tendency of wind power density and wind energy density curves.The maximum wind power density and wind energy density are in November, and the values are 147.87 W/m2 and 1295.341kWh/m2, respectively. The smallest values are in June, and the values are 88.12W/m2 and 771.931 kWh/m2,respectively.

关 键 词：乌鲁木齐 风能特性 威布尔分布 风能功率密度 风能密度 

分 类 号：F062.282[经济管理—政治经济学]