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首页> 外文学位 >The Effect of Wind Turbine Wakes on Summertime Midwest Atmospheric Wind Profiles as Observed with Ground Based Doppler LIDAR.
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The Effect of Wind Turbine Wakes on Summertime Midwest Atmospheric Wind Profiles as Observed with Ground Based Doppler LIDAR.

机译：地面多普勒激光雷达观测到的风力涡轮机苏醒对夏季中西部大气风廓线的影响。

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摘要

This study examines the influences of modern multi-megawatt wind turbine generator wakes on wind profiles. Principles of wind LIDAR technology and operation are discussed in preparation for analysis of the LIDAR dataset. Surface and wind LIDAR observations were collected from June 30, 2011 to August 16, 2011 in central Iowa. Two identical Windcube LIDAR systems were compared for two days at the beginning of the observation period and found to agree with good correlation in both wind speed and wind direction measurements at 20m vertical intervals from 40m to 220m above the surface. For the remainder of the field campaign, one LIDAR was located 2 rotor diameters (D) directly south of a wind turbine; the other LIDAR was moved 3 D North of the same wind turbine. Data from the two LIDAR dataset was filtered for the prevailing southerly flow in order to simultaneously capture inflow and waked conditions with the respective LIDAR. Data were compared between the upwind and downwind LIDARs for horizontal and vertical wind speed, wind shear, wind direction, wind directional shear, horizontal and vertical turbulence intensity, turbulent kinetic energy, and the power law coefficient (alpha). Results indicate measurable reductions in waked wind speeds at heights spanning the wind turbine rotor (40m to 120m). Turbulent and wind shear quantities increase in the wake of the turbine rotor. Results also indicate that the power law coefficient below turbine hub height may be a parameter that quickly identifies whether the downwind LIDAR was sampling turbine wake or free flow conditions. Changes in quantities downwind of the wind turbine are also shown to vary with inflow wind speed and time of day. Results are consistent with the few observations available from other studies; this dataset contributes higher temporal and spatial resolution data to provide a dataset which will be useful for turbine wake model validation.
机译：这项研究研究了现代多兆瓦级风力涡轮发电机尾流对风廓线的影响。在准备LIDAR数据集分析时，讨论了风LIDAR技术和运行原理。从2011年6月30日至2011年8月16日在爱荷华州中部收集了地面和风LIDAR观测资料。在观察期开始时对两个相同的Windcube LIDAR系统进行了两天的比较，发现在20m垂直间隔（从地面40m到220m）的风速和风向测量中，它们具有良好的相关性。在其余的野战活动中，一个LIDAR位于风力涡轮机正南的2个转子直径（D）处。另一台LIDAR则移至同一风力涡轮机的3D北侧。对两个LIDAR数据集中的主要南风进行了过滤，以便同时捕获相应LIDAR的入流和唤醒条件。比较了上，下风激光雷达的水平和垂直风速，风切变，风向，风向切变，水平和垂直湍流强度，湍动能和幂律系数（α）的数据。结果表明，在跨越风轮机转子的高度（40m至120m）处，醒来的风速有明显的降低。涡轮转子后，湍流和风切变量增加。结果还表明，低于涡轮机轮毂高度的功率定律系数可能是一个参数，可以快速识别出顺风激光雷达是对涡轮机尾流还是自由流动条件进行采样。还显示了风力涡轮机顺风量的变化随进风速度和一天中的时间而变化。结果与其他研究的少量观察结果一致；该数据集提供了更高的时间和空间分辨率数据，以提供对涡轮机尾流模型验证有用的数据集。

著录项

  • 作者

    Rhodes, Michael Edward.;

  • 作者单位

    University of Colorado at Boulder.;

  • 授予单位 University of Colorado at Boulder.;
  • 学科 Atmospheric Sciences.;Remote Sensing.
  • 学位 M.S.
  • 年度 2012
  • 页码 86 p.
  • 总页数 86
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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