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Wind turbine clutter observations and theoretical validation for meteorological radar applications

机译:风力涡轮机杂波观测和气象雷达应用的理论验证

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The use of wind energy is gaining importance because of its many advantages. Nations worldwide are promoting the installation of wind farms to produce electricity in an attempt to tackle climate change and increasing oil costs. However, wind turbines can generate undesired signals that disturb the performance of radar systems. In particular, this is an issue for weather radar networks that see wind turbines as clutter, since they have a strong influence on meteorological outputs such as the estimation of rain intensity or wind velocity. This study develops a simulated scenario and a radar signal model that justify collection of live data from the Spanish Weather Radar Network. Simulated and real data are discussed for both the spotlight and exploration modes. As an application example, a simple algorithm has been developed to estimate wind direction in the immediate vicinity of wind turbines. In this context, it is clear that some meteorological information may be extracted from the wind turbine clutter itself.
机译:由于其许多优点,风能的使用变得越来越重要。全世界的各国都在促进安装风力发电场以发电,以应对气候变化和增加石油成本。但是,风力涡轮机可能会产生不希望的信号,从而干扰雷达系统的性能。特别是对于将风力涡轮机视为杂乱无章的天气雷达网络而言,这是一个问题,因为它们对气象输出(例如降雨强度或风速的估算)有很大影响。这项研究开发了模拟场景和雷达信号模型,证明了从西班牙天气雷达网络收集实时数据的合理性。讨论了聚光灯和探索模式的模拟数据和真实数据。作为一个应用示例,已经开发出一种简单的算法来估算风力涡轮机附近的风向。在这种情况下,很明显可以从风力涡轮机的杂波本身中提取一些气象信息。

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