Issue |
Acta Acust.
Volume 7, 2023
|
|
---|---|---|
Article Number | 55 | |
Number of page(s) | 19 | |
Section | Environmental Noise | |
DOI | https://doi.org/10.1051/aacus/2023047 | |
Published online | 06 November 2023 |
Scientific Article
Quantification of amplitude modulation of wind turbine emissions from acoustic and ground motion recordings
1
University of Stuttgart (USTUTT), Stuttgart Wind Energy (SWE), Stuttgart 70569, Germany
2
Karlsruhe Institute of Technology (KIT), Geophysical Institute (GPI), Karlsruhe 76187, Germany
3
Medical School Hamburg (MSH), Department of Psychology, Hamburg 20457, Germany
4
Martin-Luther-University Halle-Wittenberg, Institute of Psychology, Halle (Saale) 06108, Germany
* Corresponding author: blumendeller@ifb.uni-stuttgart.de
Received:
10
February
2023
Accepted:
6
September
2023
Amplitude modulation (AM) is a common phenomenon associated with wind turbine (WT) related noise annoyance. Within the interdisciplinary project Inter-Wind, acoustic, ground motion, and meteorological data are captured to be evaluated with noise reports of residents living near a wind farm in Southern Germany. The recorded data builds a solid data base for the evaluation of AM. The occurrence of AM is detected within acoustic and ground motion data and set in relation to all available data, including WT operational parameters, meteorology, and noise reports. In this study, the origins of detected AM are tones at 57.8 Hz and 133 Hz, related to the generator and drive train, which are amplitude modulated by the blade passing frequency. AM detection was successful both with acoustic as well as ground motion data. A comparison of a method for AM detection developed by the Institute of Acoustics (IOA reference method) with a method specifically developed to detect AM in ground motion data showed that the reference method detected AM three to six times more often than the newly developed method. AM occurred most likely during stable atmospheric conditions, with a positive lapse rate, and was (albeit to a small degree) more likely to be detected when residents reported higher levels of annoyance.
Key words: Onshore wind energy / Wind turbine noise / Sound and vibrations / Amplitude modulation
© The Author(s), Published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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