【作者】 王茜；

【导师】 徐璋；

【作者基本信息】 浙江工业大学 ， 热能工程， 2012， 硕士

【摘要】 风能利用是发展最快的可再生能源,风力发电是具有大规模开发和商业化发展前景的项目之一。为改善能源结构、加快风能资源利用,我国近年来加大风资源评估力度,目前快捷高效的风能资源评估和风电场选址倍受关注,成为众多学者探讨和追寻的目标。为了减少风能资源评估成本、提高风电场开发建设决策的科学性,本论文应用丹麦风能资源评估软件WAsP,进行了浙江省舟山市岑港风电场的资源评估及其马目山23台风电机组的模拟选址工作。在此基础上,对WAsP模型的计算误差进行分析,并对该风场的安全性进行了探讨。本文的主要工作和成果如下:1.采用岑港风电场附近国家基准气象站的近60年测风数据,利用WAsP气候分析师对其进行了统计计算和模式验证,结果表明WAsP模式采用Weibull分布估算风能是合理的。2.针对风资源评估中经常存在的地形测绘和地表状况考察的限制,以岑港风电场马目山区域为应用案例,尝试将90m分辨率的SRTM地形高程数据用于绘制WAsP模式所需的电子地形图,并给出了具体的处理过程;利用GoogleEarth绘制了气象站周围的障碍物群和粗糙度描述文件。以上工作为WAsP模式的风电场计算打下了基础。3.根据岑港风电场实际机型制作了风力机功率曲线,然后结合网格计算出的风资源分布图模拟确定了马目山23台风电机组的机位布置。研究发现WAsP对该风场年发电量的计算比实际值偏高10.27%左右。4.针对WAsP模式的计算误差,采用地形陡峭指数RIX的方法进行了该区域的风速误差和发电量误差计算,确定出其风速误差为-1.9%左右,发电量误差为2.32%左右。然后对该风场的安全等级进行研究,模拟计算各风机轮毂高度处50年一遇的极端最大风速(3s),确定出23个机位中有5个处于IEC2级,18个处于IEC3级,为风机选型、确定危险机位、风电场日常安全维护等提供参考。更多还原

【Abstract】 The development and utilization of wind energy is the most grown technique amongrenewable energy. In order to improve the energy structure and accelerate the utilization ofwind energy, wind resource assessment has been intensified in China in recent years. A fastand efficient method of wind energy resource assessment and wind farm site selection getsmore attention, which becomes a hit issue for many scholars at present.In order to reduce the costs of wind resource assessment and improve thescientificalness of the wind farm’s development, wind resource assessment of ZhoushanCengang wind farm and its 23 Wind Turbine Generators’ sites selection in the Mamu Hillhave been studied by Denmark wind resource assessment software—WasP. In addition,WAsP model calculation errors and wind farm’s security level have been analyzed in thispaper. The main work and results are as follows:1. Wind data was from national standard weather station having nearly 60 yearsobservation records near the Cengang wind farm, I used WAsP Climate Analyst to carry outstatistical calculations and model validation. The results show that it is reasonable for WAsPmode to estimate wind energy using Weibull distribution.2. Because there was often restrictions on terrain mapping and inspection of the surfacecondition, taking the Mamu mountain of Cengang wind farm as an example, tried usingSRTM terrain elevation data with 90m resolution to draw electronic topographic map, whichwas WAsP model required, and given a specific process. Then draw obstacle group androughness file around the weather stations using GoogleEarth software. The above works laidfoundation for the wind farm calculation with WAsP mode.3. Made wind turbine power curve according to the actual wind turbine parameters ofCengang wind farm, and then combined with grids to compute out of the wind resource maps,therefore we could determine the arrangement of the 23 WTG in Mamu hill. Study found thatannual energy output of the wind farm calculated from WAsP was about 10.27% higher than the actual value.4. For WAsP model errors，wind speed and power generation errors in this region werecalculated by RIX index method, so determined the wind speed error was -1.9% and thepower output error was about 2.32%. Then a research focused on the wind farm’s securitylevel was carried out, to simulate 50-years of extreme maximum wind speed (3s) of each fanon its hub height. Finally found that the 23 seats in five were in IEC2, and the rest 18 at IEC3,and this work provided references for determining fan’s style, locating of hazardous sites, androutine maintenance and so on.更多还原