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

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).

本数据集采集于代尔夫特理工大学心理声学聆听实验室（Psychoacoustic Listening Laboratory, PALILA）开展的一项聆听实验，共有75名受试者参与。该项研究评估了空中风能系统（airborne wind energy systems, AWESs）引发的噪声烦恼度。受试者依托ICBEN量表（ICBEN Scales），对9段源自野外实测的录音完成烦恼度评分，这些录音分别来自2套固定翼型与1套软翼型地面发电式空中风能系统。除烦恼度评分外，受试者还需提供自身听力能力、听力相关事件（如耳部疾病、意外事故或强噪声工作环境暴露经历）、噪声敏感性、对空中风能技术的熟悉程度，以及人口统计学特征等相关信息。本次调查问卷结合封闭式与开放式问题，以保障数据集的全面性。数据采集工作于2023年6月至9月间开展，是代尔夫特理工大学风能研究部门海伦娜·施密特（Helena Schmidt）博士研究课题的组成部分。本数据集可作为学术出版物及博士学位论文的补充材料公开获取，旨在为科学界的后续研究提供支撑。本项目由荷兰研究委员会（Dutch Research Council, NWO）资助（资助编号：17628），以及隶属于Veni 2022计划（应用与工程科学领域）的“聆听未来”（Listen to the Future）项目资助，项目编号为20247。