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Holistic approach to wind turbine noise: From blade trailing-edge modifications to annoyance estimation

机译:风力涡轮机噪声的整体方法:从刀片后边缘修改到烦恼估算

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摘要

Wind turbines represent an encouraging option for sustainable energy but their noise emissions can be an issue for their public acceptance. Noise reduction measures, such as trailing-edge serrations or permeable inserts, seem to offer promising results in reducing wind turbine noise levels. This manuscript presents a novel holistic approach for perception-based evaluation of wind turbine noise and the performance of reduction measures using synthetic sound auralization. To demonstrate its feasibility, a case study featuring four state-of-the-art noise reduction trailing-edge add-ons synthetically applied to two full-scale wind turbines at nominal power is presented. The synthetic sound signals were auralized and propagated to three observer locations. The expected annoyance in each case was estimated by employing a combination of psychoacoustic sound quality metrics and a listening experiment featuring 16 participants. A close relation was found between the results of the psychoacoustic metrics and the listening experiment. In general, this holistic approach provides valuable information for the design of optimal noise reduction measures and wind turbines.
机译:风力涡轮机代表可持续能源的令人鼓舞的选择,但他们的噪音排放可能是公众接受的问题。降噪措施,例如后缘锯齿或可渗透的插入件,似乎提供了减少风力涡轮机噪声水平的有希望的结果。该稿件提出了一种新的整体方法,用于对风力涡轮机噪声的基于感知的评估以及使用合成声音Auralization的减少措施的性能。为了证明其可行性,提出了一种案例研究,其特征在于以标称功率合成地应用于两个全尺寸风力涡轮机的四个最先进的降噪后边缘附加物。合成声音信号是Auratized并传播到三个观察者位置。通过采用精神声音质量指标和16名参与者的听力实验,估计了每种情况的预期烦恼。在心理声学指标和听力实验之间发现了密切关系。通常,该整体方法提供了用于设计最佳降噪措施和风力涡轮机的有价值的信息。

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