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Quantification of amplitude modulation of wind turbine emissions from acoustic and ground motion recordings

Blumendeller, Esther ; Gaßner, Laura ORCID iD icon 1; Müller, Florian J. Y.; Pohl, Johannes; Hübner, Gundula; Ritter, Joachim 1; Cheng, Po Wen
1 Geophysikalisches Institut (GPI), Karlsruher Institut für Technologie (KIT)

Abstract:

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.


Verlagsausgabe §
DOI: 10.5445/IR/1000165108
Veröffentlicht am 30.11.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Geophysikalisches Institut (GPI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2681-4617
KITopen-ID: 1000165108
Erschienen in Acta Acustica
Verlag EDP Sciences
Band 7
Seiten Art.-Nr.: 55
Vorab online veröffentlicht am 06.11.2023
Schlagwörter Onshore wind energy, Wind turbine noise, Sound and vibrations, Amplitude modulation
Nachgewiesen in Web of Science
Dimensions
Scopus
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