中国电力
中國電力
중국전력
ELECTRIC POWER
2010年
1期
61-65
,共5页
冯长青%杜燕军%包紫光%旋继新
馮長青%杜燕軍%包紫光%鏇繼新
풍장청%두연군%포자광%선계신
风能资源评估%WAsP软件%WT软件%适用性分析
風能資源評估%WAsP軟件%WT軟件%適用性分析
풍능자원평고%WAsP연건%WT연건%괄용성분석
wind resource assessment%WASP%WT%applicability analysis
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1 a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C_1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.
基于內矇古地區不同複雜程度的3箇風電場內7箇測風塔共21箇測風高度完整1 a的測風資料及該地區高分辨率的數字地形資料,結閤風電場內一箇參攷塔的測風結果,採用WAsP和WT2種軟件推導風場內目標塔的風資源,通過比較目標塔處推算結果和實際測量結果,分彆得齣WAsP和WT的計算誤差.結果錶明:對于計算年平均風速和風功率密度,除在C_1測風塔處外,WT總體錶現比WasP更準確;在風資源分佈圖上,2種軟件計算的風資源豐富區的位置基本一緻,均在風電場中海拔較高的地方,但WAsP計算的風資源豐富區麵積大于WT計算的風資源豐富區麵積.豐富區年平均風速和風功率密度也高于WT計算值.
기우내몽고지구불동복잡정도적3개풍전장내7개측풍탑공21개측풍고도완정1 a적측풍자료급해지구고분변솔적수자지형자료,결합풍전장내일개삼고탑적측풍결과,채용WAsP화WT2충연건추도풍장내목표탑적풍자원,통과비교목표탑처추산결과화실제측량결과,분별득출WAsP화WT적계산오차.결과표명:대우계산년평균풍속화풍공솔밀도,제재C_1측풍탑처외,WT총체표현비WasP경준학;재풍자원분포도상,2충연건계산적풍자원봉부구적위치기본일치,균재풍전장중해발교고적지방,단WAsP계산적풍자원봉부구면적대우WT계산적풍자원봉부구면적.봉부구년평균풍속화풍공솔밀도야고우WT계산치.
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 C_1 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.