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作 者:冯长青[1] 杜燕军[1] 包紫光[1] 旋继新[1]
机构地区:[1]内蒙古电力勘测设计院,内蒙古呼和浩特010020
出 处:《中国电力》2010年第1期61-65,共5页Electric Power
摘 要:基于内蒙古地区不同复杂程度的3个风电场内7个测风塔共21个测风高度完整1a的测风资料及该地区高分辨率的数字地形资料,结合风电场内一个参考塔的测风结果,采用WAsP和WT2种软件推导风场内目标塔的风资源,通过比较目标塔处推算结果和实际测量结果,分别得出WAsP和WT的计算误差。结果表明:对于计算年平均风速和风功率密度,除在C1测风塔处外,WT总体表现比WasP更准确;在风资源分布图上,2种软件计算的风资源丰富区的位置基本一致,均在风电场中海拔较高的地方,但WAsP计算的风资源丰富区面积大于WT计算的风资源丰富区面积,丰富区年平均风速和风功率密度也高于WT计算值。Wind resource calculations were taken for three wind farms with different complex terrains, using the general wind resource assessment softwares, WAsP and WT. Wind data collected at the twenty-one measurement heights of seven monitoring masts in three farms in a complete year were used for the calculations. Wind measurements at one reference point of the site were taken as inputs to calculate wind resources for other target points whose measured results were available. Through comparing the calculation results with the measured results at the target points, the calculation errors of the WAsP and WT were obtained. The calculation results with WAsP and WT indicated: ( 1 ) WT generally performed better than WAsP for the calculation of annual average wind speeds and wind power densities, except for the C1 mast; (2) the wind resource abundant areas calculated by the WAsP and WT were basically consistent at the wind resource distribution maps. The wind-abundant areas were located at higher elevations. However, the wind-abundant areas calculated by WAsP were larger than that by WT. Moreover, the values of annual average wind speeds and wind power densities in the abundant areas calculated by WAsP were also higher than that by WT.
关 键 词:风能资源评估 WAsP软件 WT软件 适用性分析
分 类 号:TM614[电气工程—电力系统及自动化]
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