WEA-Acceptance Data—A Dataset of Acoustic, Meteorological, and Operational Wind Turbine Measurements

Daphne Schössow (), Stephan Preihs and Jürgen Peissig
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Daphne Schössow: Institute of Communications Technology, Leibniz University Hannover, 30167 Hanover, Germany
Stephan Preihs: Institute of Communications Technology, Leibniz University Hannover, 30167 Hanover, Germany
Jürgen Peissig: Institute of Communications Technology, Leibniz University Hannover, 30167 Hanover, Germany

Data, 2024, vol. 9, issue 3, 1-13

Abstract: In this article, a dataset is described which combines wind turbine supervisory control and data acquisition (SCADA), meteorological and acoustical data and thus gives a detailed description of a wind farm and its atmospheric and acoustic environment. The data were collected during different seasons for several weeks at a time, such that a multitude of environmental and operational conditions are covered. In five measurement campaigns, in total three different locations with similar surroundings were captured. The raw data were enhanced with derived values such as atmospheric stability or direction of sound propagation. Data of one month including all time series measurements as well as monophonic audio recordings are now published. The dataset also contains three exemplary use cases along with documents that describe the data pre-processing.

Keywords: dataset; wind turbine; wind turbine sound; acoustics; meteorology; SCADA (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2024
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