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

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...

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Main Authors: Daphne Schössow, Stephan Preihs, Jürgen Peissig
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Data
Subjects:
Online Access:https://www.mdpi.com/2306-5729/9/3/46
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author Daphne Schössow
Stephan Preihs
Jürgen Peissig
author_facet Daphne Schössow
Stephan Preihs
Jürgen Peissig
author_sort Daphne Schössow
collection DOAJ
description 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.
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spelling doaj.art-7e7c34447ab44b429db77a0b75255b9d2024-03-27T13:32:54ZengMDPI AGData2306-57292024-03-01934610.3390/data9030046WEA-Acceptance Data—A Dataset of Acoustic, Meteorological, and Operational Wind Turbine MeasurementsDaphne Schössow0Stephan Preihs1Jürgen Peissig2Institute of Communications Technology, Leibniz University Hannover, 30167 Hanover, GermanyInstitute of Communications Technology, Leibniz University Hannover, 30167 Hanover, GermanyInstitute of Communications Technology, Leibniz University Hannover, 30167 Hanover, GermanyIn 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.https://www.mdpi.com/2306-5729/9/3/46datasetwind turbinewind turbine soundacousticsmeteorologySCADA
spellingShingle Daphne Schössow
Stephan Preihs
Jürgen Peissig
WEA-Acceptance Data—A Dataset of Acoustic, Meteorological, and Operational Wind Turbine Measurements
Data
dataset
wind turbine
wind turbine sound
acoustics
meteorology
SCADA
title WEA-Acceptance Data—A Dataset of Acoustic, Meteorological, and Operational Wind Turbine Measurements
title_full WEA-Acceptance Data—A Dataset of Acoustic, Meteorological, and Operational Wind Turbine Measurements
title_fullStr WEA-Acceptance Data—A Dataset of Acoustic, Meteorological, and Operational Wind Turbine Measurements
title_full_unstemmed WEA-Acceptance Data—A Dataset of Acoustic, Meteorological, and Operational Wind Turbine Measurements
title_short WEA-Acceptance Data—A Dataset of Acoustic, Meteorological, and Operational Wind Turbine Measurements
title_sort wea acceptance data a dataset of acoustic meteorological and operational wind turbine measurements
topic dataset
wind turbine
wind turbine sound
acoustics
meteorology
SCADA
url https://www.mdpi.com/2306-5729/9/3/46
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AT jurgenpeissig weaacceptancedataadatasetofacousticmeteorologicalandoperationalwindturbinemeasurements