首页> 外文会议>International congress on exposition noise control engineering >Analysis of wind turbine low frequency noise prediction accuracy
【24h】

Analysis of wind turbine low frequency noise prediction accuracy

机译:风机低频噪声预测精度分析

获取原文

摘要

Some regulatory authorities in Australia have recently proposed low frequency noise assessment criteria for wind farms based on C-weighted noise levels. This involves the specification of an outdoor night time trigger level of 60 dB(C), above which further investigation may be required. While the accuracy of noise model predictions of A-weighted noise levels is well established for wind turbines, less information is available on the accuracy of low frequency noise predictions. This paper presents an analysis of approximately eight months of low frequency noise measurements at a location near a wind farm, conducted using appropriate windshields and at locations away from extraneous noise sources. The measured low frequency noise levels are compared to predicted levels to assess the accuracy of conventional noise modelling techniques for low frequency wind farm noise. Changes in low frequency noise levels with wind direction, wind speed and wind shear are also analysed.
机译:澳大利亚一些监管机构最近根据C加权噪声水平提出了针对风电场的低频噪声评估标准。这涉及室外夜间触发电平为60 dB(C)的规范,超过该规范可能需要进一步调查。尽管对于风力涡轮机已经很好地建立了A加权噪声水平的噪声模型预测的准确性,但是关于低频噪声预测的准确性的信息较少。本文介绍了使用适当的挡风玻璃并在远离外部噪声源的位置,对风电场附近某个地点进行的大约八个月的低频噪声测量的分析。将测得的低频噪声水平与预测水平进行比较,以评估用于低频风电场噪声的常规噪声建模技术的准确性。还分析了低频噪声水平随风向,风速和风切变的变化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号