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Realistic simulations of the July 1, 2011 severe wind event over the Buffalo Ridge Wind Farm

机译:对布法罗岭风电场2011年7月1日强风事件的真实模拟

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摘要

Severe winds from thunderstorm outflows pose a challenge to wind turbine arrays. They can cause significant power ramps and disruption in energy production. They can also cause extreme structural damage to turbines as was seen in the severe storm event over the Buffalo Ridge Wind Farm on July 1, 2011. At this southwestern Minnesota site, blades from multiple turbines broke away and a tower buckled in the intense winds. In this study, we attempt to characterize meteorological conditions over the Buffalo Ridge Wind Farm area during this event. The observational network included NEXRAD radars, automated surface observation stations and a wind profiler. Storm reports from the Storm Prediction Center and damage surveys provided additional insight to the in situ measurements. Even with these datasets, assessing wind speeds around turbine rotors is difficult. Thus, Weather Research and Forecasting model simulations of the event are carried out that consider current and anticipated future operational model setups. This work addresses model spatial resolution versus parameterization complexity. Parameterizations of the planetary boundary layer and microphysics processes are evaluated based on their impact on storm dynamics and the low-level wind field. Results are also compared with the Wind Integration National Dataset, which utilizes data assimilation and an extensive continental domain. Enhanced horizontal resolution with simplistic parameterization helps increase resolved wind speeds and ramp intensity. Enhanced sophistication of microphysics parameterizations also helps increase resolved wind speeds, improve storm timing and structure and resolve higher values of turbulent kinetic energy in the lowest 1 km of the atmosphere. Copyright (c) 2017 John Wiley & Sons, Ltd.
机译:雷雨外流带来的强风对风力发电机组构成了挑战。它们会导致明显的功率上升和能源生产中断。如2011年7月1日在布法罗岭风电场上发生的严重暴风雨中所见,它们还会对涡轮机造成极端的结构破坏。在明尼苏达州西南部的这一地点,多台涡轮机的叶片脱落,并且塔架在强风中弯曲。在这项研究中,我们试图描述这次事件期间布法罗岭风电场地区的气象条件。观测网络包括NEXRAD雷达,自动地面观测站和风廓线仪。来自风暴预测中心的风暴报告和损坏调查为现场测量提供了更多信息。即使有了这些数据集,也很难评估涡轮机转子周围的风速。因此,将考虑当前和预期的未来运行模型设置来进行事件的天气研究和预报模型模拟。这项工作解决了模型空间分辨率与参数化复杂性之间的关系。基于行星边界层和微物理过程对风暴动力学和低空风场的影响,对它们的参数化进行了评估。还将结果与“风能集成国家数据集”进行比较,后者使用数据同化和广泛的大陆区域。通过简化的参数设置提高了水平分辨率,有助于提高分辨的风速和斜坡强度。微观物理参数化的改进也有助于提高分辨的风速,改善风暴的时机和结构,并在最低的1 km大气层中解析出更高的湍动能值。版权所有(c)2017 John Wiley&Sons,Ltd.

著录项

  • 来源
    《Wind Energy》 |2017年第11期|1803-1822|共20页
  • 作者单位

    North Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA;

    Delft Univ Technol, Fac Civil Engn & Geosci, Delft, Netherlands;

    Univ Texas Austin, Dept Civil Architectural & Environm Engn, Austin, TX 78712 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    downburst; numerical weather prediction; severe wind; wind turbine;

    机译:突发性;数值天气预报;强风;风力发电机;

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