WEA-Acceptance Data: Wind Turbine Dataset Including Acoustical, Meteorological and Turbine Parameters (Version 2.0)

Within the project WEA-Acceptance¹, extensive measurement campaigns were carried out, which included the recording of acoustic, meteorological and turbine-specific data. Acoustic quantities were measured at several distances to the wind turbine and under various atmospheric and turbine conditions. In the project WEA-Acceptance-Data², the acquired measurements are stored in a structured and anonymized form and provided for research purposes. Besides the data and its documentation, first evaluations as well as reference data sets for chosen scenarios are published.

In this version of the data platform, a specification 2.0, an anonymized data set and three use cases are published. The specification contains the concept of the data platform, which is primarily based on the FAIR (Findable, Accessible, Interoperable, and Reusable) principle. The data set consists of turbine-specific, meteorological and acoustic data recorded over one month. Herein, the data were corrected, conditioned and anonymized so that relevant outliers are marked and erroneous data are removed in the data set. The acoustic data includes anonymized sound pressure levels and one-third octave spectra averaged over ten minutes as well as audio data. In addition, the metadata and an overview of data availability are uploaded. As examples for the application of the data, three use cases are also published. Important information such as the approach for data anonymization is briefly described in the ReadMe file.

For further information about the measurements, it is referred to "Martens, S., Bohne, T., and Rolfes, R.: An evaluation method for extensive wind turbine sound measurement data and its application, Proceedings of Meetings on Acoustics, Acoustical Society of America, 41, 040001, https://doi.org/10.1121/2.0001326, 2020.

¹The project WEA-Acceptance (FKZ 0324134A) was funded by the German Federal Ministry for Economic Affairs and Energy (BMWi).

²The project WEA-Acceptance-Data (FKZ 03EE3062) was funded by the German Federal Ministry for Economic Affairs and Energy (BMWi).

在WEA-Acceptance[1]项目中，研究团队开展了大规模野外测量工作，涵盖声学、气象及风机专属数据的采集。我们在距风力发电机组不同距离处，结合多种大气工况与风机运行工况，完成了声学参量的测量。在WEA-Acceptance-Data[2]项目中，所获取的测量数据以结构化、匿名化的形式进行存储，并面向科研用途开放共享。除数据集与配套文档外，本项目还发布了初步评估结果，以及针对选定场景的参考数据集。

本数据平台的2.0版规范共发布了一份匿名数据集与三个应用用例。该规范阐述了数据平台的设计理念，其核心构建于FAIR（可发现、可访问、可互操作、可复用）原则之上。本次发布的数据集包含为期一个月的风机专属、气象与声学采集数据，已完成校正、调理与匿名化处理：数据集中的异常值已完成标记，错误数据已被移除。声学数据涵盖匿名化声压级、十分钟平均的1/3倍频程频谱，以及音频数据。此外，本平台还上传了元数据与数据可用性概览。作为数据集应用的示例，本次同步发布了三个用例。数据匿名化方法等关键信息已在ReadMe文件中简要说明。

如需了解更多测量相关细节，请参考文献：Martens, S., Bohne, T., and Rolfes, R.: 大规模风力发电机组声学测量数据的评估方法及应用, Proceedings of Meetings on Acoustics, Acoustical Society of America, 41, 040001, https://doi.org/10.1121/2.0001326, 2020.

[1] WEA-Acceptance项目（资助编号FKZ 0324134A）由德国联邦经济事务与能源部（BMWi）资助。
[2] WEA-Acceptance-Data项目（资助编号FKZ 03EE3062）由德国联邦经济事务与能源部（BMWi）资助。

搜集汇总

背景与挑战

背景概述

该数据集包含风力涡轮机的声学、气象和涡轮机特定参数，数据经过校正和匿名化处理，适用于研究用途。数据集遵循FAIR原则，提供了元数据、数据可用性概述和三个应用案例。