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Investigation of the noise sources on a vertical axis wind turbine using an acoustic array

机译:使用声学阵列研究垂直轴风力涡轮机上的噪声源

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Small scale vertical axis wind turbines (VAWTs) are capable of capturing a significant proportion of the energy in a gusty wind. This makes them ideal for deployment in built environments but in such locations they are inherently close to people meaning that the noise is a significant problem. In order to better understand the mechanisms of noise generation on a VAWT a series of experiments was conducted using an acoustic array to locate the dominant sources of noise on a model scale VAWT over a range of tip speed ratios. Conventional beamforming methods, using a monopole or dipole source model, provided some information about the noise sources but are of limited utility in the case of such a complex, moving source. A detailed examination of the microphone cross spectra was therefore undertaken to identify the nature of the sound sources. A strong harmonic component was observed in the spectra, and was found to be the dominant source for frequencies up to the 30th harmonic of the rotor angular velocity. The harmonic source was found to be strongest at low tip speed ratios and is understood to be radiated by the unsteady loads on the blades, which are exacerbated when they experience dynamic stall. At higher frequencies spectral scaling methods were applied to attempt to identify the noise generating mechanisms. Below 1kHz it was found that the noise scaled with the fifth power of velocity implying that the sound was being radiated from the trailing edge. Above 1kHz a broadband peak was observed and the spectral scaling methods identified this as laminar boundary layer tonal noise. A comparison of the spectra from the wind tunnel model with those from a full-scale VAWT confirmed that the two are qualitatively similar meaning that results from the wind tunnel measurements are transferable to a real VAWT.
机译:小型垂直轴风力涡轮机(VAWT)能够在阵风中捕获很大一部分能量。这使得它们非常适合在建筑环境中部署,但是在这样的位置,它们本来就很靠近人,这意味着噪声是一个严重的问题。为了更好地理解VAWT上的噪声产生机理,使用声学阵列进行了一系列实验,以在一定范围的叶尖速比范围内在模型规模VAWT上定位主要噪声源。使用单极子或偶极子源模型的常规波束形成方法提供了一些有关噪声源的信息,但是在这种复杂的移动源的情况下用途有限。因此,对麦克风的交叉频谱进行了详细检查,以识别声源的性质。在频谱中观察到了很强的谐波分量,并且被发现是直到转子角速度的30次谐波的频率的主要来源。已发现谐波源在低叶尖速比下最强,并且被认为是由叶片上的不稳定负载辐射的,当叶片经历动态失速时,负载会加剧。在更高的频率下,频谱缩放方法被用于尝试识别噪声产生机制。低于1kHz,发现噪声与速度的五次方成比例,这意味着声音从后沿辐射出去。在1kHz以上,观察到一个宽带峰,频谱缩放方法将其识别为层流边界层音调噪声。将风洞模型的光谱与满量程VAWT的光谱进行比较,证实了两者在质上相似,这意味着风洞测量结果可转换为真实的VAWT。

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