一种新的风力机噪声测量数据库及其在声传播模型系统验证中的应用

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Wind Energy Science Pub Date : 2023-04-28 DOI:10.5194/wes-8-639-2023
Susanne Könecke, Jasmin Hörmeyer, Tobias Bohne, Raimund Rolfes
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引用次数: 0

摘要

摘要为了验证基于Crank-Nicolson抛物方程方法的声音传播模型,在风力涡轮机领域进行了广泛的测量。测量是在一个平坦的草地覆盖的景观和各种环境条件下进行的。在测量过程中,采集了距离风力机178,535和845米的气象和风力机性能数据,并记录了声学数据集。通过对测量数据的处理和分析,推导了声传播模型的验证案例和输入参数。验证包括五组不同声音传播方向的特征,即不同强度的顺风、侧风和逆风条件。在强逆风情况下,较大距离处的声压级被高估了,因为建模中没有考虑湍流。在其他方向上,该模型较好地再现了总声压级和第三倍频程频谱中测量到的声传播损失。在记录的测量中,频率相关的最大值和最小值被确定,损耗通常随着距离和频率的增加而增加。测量值和模拟值之间的一致性随着距离的增加而降低。验证中使用的数据集可供进一步研究免费获取。
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A new base of wind turbine noise measurement data and its application for a systematic validation of sound propagation models
Abstract. Extensive measurements in the area of wind turbines were performed in order to validate a sound propagation model which is based on the Crank–Nicolson parabolic equation method. The measurements were carried out over a flat grass-covered landscape and under various environmental conditions. During the measurements, meteorological and wind turbine performance data were acquired and acoustical data sets were recorded at distances of 178, 535 and 845 m from the wind turbine. By processing and analysing the measurement data, validation cases and input parameters for the sound propagation model were derived. The validation includes five groups that are characterised by different sound propagation directions, i.e. downwind, crosswind and upwind conditions in varying strength. In strong upwind situations, the sound pressure levels at larger distances are overestimated because turbulence is not considered in the modelling. In the other directions, the model reproduces the measured sound propagation losses well in the overall sound pressure level and in the third octave band spectra. As in the recorded measurements, frequency-dependent maxima and minima are identified, and losses generally increase with increasing distance and frequency. The agreement between measured and modelled sound propagation losses decreases with distance. The data sets used in the validation are freely accessible for further research.
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来源期刊
Wind Energy Science
Wind Energy Science GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
6.90
自引率
27.50%
发文量
115
审稿时长
28 weeks
期刊最新文献
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