Determination of the Parameters of Ground Acoustic-Impedance in Wind Farms

Jiaying Wu, Jing Wang, Zhenye Sun, Wei Jun Zhu and Wen Zhong Shen ()
Additional contact information
Jiaying Wu: College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China
Jing Wang: College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China
Zhenye Sun: College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China
Wei Jun Zhu: College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China
Wen Zhong Shen: College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China

Sustainability, 2022, vol. 14, issue 23, 1-17

Abstract: The ground surface near a wind turbine has a significant influence on the sound propagation from the turbine, and it is therefore important to determine the ground impedance, a quantity that characterizes the ground surface acoustically. Outdoor ground parameters required by a multi-parameter model used to calculate the ground acoustic-impedance are typically unknown, which brings inconvenience for the model use. This paper introduces a technique to determine the parameters of ground acoustic-impedance for use in a multi-parameter impedance model (for example, the Attenborough four-parameter model). The technique consists of three steps: first, the data for sound-pressure level measured at a distance from two different heights are collected, and the sound-pressure-level difference is calculated; second, in line with the experimental data and the sound-pressure-level calculation formula, the MATLAB optimization tool is used to find the optimal values of the parameters used in the impedance model; and finally, when the optimization is finished, the acoustic impedance of the ground is obtained by substituting the optimal values into the impedance model. To check the performance of the calculation, the calculated sound-pressure-level difference is compared to the experimental one. Compared with a traditional method, the technique can significantly reduce the calculation error.

Keywords: wind-turbine noise; ground acoustic-impedance; optimization algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/23/15489/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/23/15489/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:23:p:15489-:d:979937

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().