Exploring noise annoyance and sound quality for airborne wind energy systems: insights from a listening experiment

Journal Article (2025)
Author(s)

H.S. Schmidt (TU Delft - Wind Energy)

R.M. Yupa Villanueva (TU Delft - Operations & Environment)

Daniele Ragni (TU Delft - Wind Energy)

R. Merino Martinez (TU Delft - Operations & Environment)

Piet J. R. van Gool (Eindhoven University of Technology)

R. Schmehl (TU Delft - Wind Energy)

Research Group
Wind Energy
DOI related publication
https://doi.org/10.5194/wes-10-579-2025
More Info
expand_more
Publication Year
2025
Language
English
Research Group
Wind Energy
Issue number
3
Volume number
10
Pages (from-to)
579-595
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This study investigates the relationship between sound quality metrics (SQMs) and noise annoyance caused by airborne wind energy systems (AWESs). In a controlled listening experiment, 75 participants rated their annoyance on the International Commission on Biological Effects of Noise (ICBEN) scale in response to recordings from in-field measurements of two fixed-wing and one soft-wing ground-generation AWES. All recordings were normalized to an equivalent A-weighted sound pressure level of 45 dBA. The results revealed that sharpness was the only SQM predicting participants' annoyance. Fixed-wing kites, characterized by sharper and more tonal and narrowband sound profiles, were rated as more annoying than the soft-wing kite, characterized by higher loudness values. In addition, the effect of some SQMs on annoyance depended on participant characteristics, with loudness having a weaker impact on annoyance for participants familiar with AWESs and tonality having a weaker effect on annoyance for older participants. These findings emphasize the importance of considering psychoacoustic factors in the design and operation of AWESs to reduce noise annoyance.