Noise Annoyance Ratings for Airborne Wind Energy Systems: Data from a Controlled Listening Experiment

DOI:10.4121/2716b49f-b44c-400a-a873-eea276b081f6.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/2716b49f-b44c-400a-a873-eea276b081f6
Datacite citation style:
Schmidt, Helena; Yupa Villanueva, Renatto; Ragni, Daniele; Merino-Martinez, Roberto; van Gool, Piet et. al. (2025): Noise Annoyance Ratings for Airborne Wind Energy Systems: Data from a Controlled Listening Experiment. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/2716b49f-b44c-400a-a873-eea276b081f6.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset was collected during a listening experiment involving 75 participants at the Psychoacoustic Listening Laboratory (PALILA) of Delft University of Technology. The study assessed noise annoyance caused by airborne wind energy systems (AWESs). Participants evaluated their annoyance levels using the ICBEN scales in response to nine recordings derived from in-field measurements of two fixed-wing and one soft-wing ground-gen AWES.

In addition to annoyance ratings, participants provided information on their hearing ability, hearing-related incidents (e.g., ear diseases, accidents, or exposure to loud work environments), noise sensitivity, familiarity with AWE, and demographic characteristics. The questionnaire employed a combination of closed and open questions to ensure a comprehensive dataset.

Data collection occurred between June and September 2023 as part of Helena Schmidt's PhD research within the Wind Energy Section of Delft University of Technology. This dataset is publicly available as supplementary material for publications and the PhD thesis and is intended to support further research by the scientific community.

The project was funded by a grant from the Dutch Research Council (NWO) [grant number 17628] and the "Listen to the Future" project [project number 20247] under the Veni 2022 program (Domain Applied and Engineering Sciences).

History

  • 2025-03-06 first online, published, posted

Publisher

4TU.ResearchData

Format

.txt, .csv, .xlsx

Funding

  • Crossover (grant code 17628) [more info...] NWO
  • Veni Grant (grant code 202.155) Netherlands Organization for Scientific Research

Organizations

TU Delft, Faculty of Aerospace Engineering, Department of Flow Physics and Technology;
TU Delft, Faculty of Aerospace Engineering, Department of Aircraft Noise and Climate Effects;
TU Eindhoven, Department of Industrial Engineering and Innovation Sciences


DATA

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