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

doi:doi:10.25835/c2mv3d7z

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 measurement data will be stored in a structured and anonymized form and will be provided for research purposes. In addition to the data, first evaluations as well as reference data sets for chosen scenarios will be published for the validation and verification of simulation models.

In this version of the data platform, a specification 2.0 and an anonymized data set 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 initially includes anonymized sound pressure levels and one-third octave spectra averaged over ten minutes. Higher resolutions of those data, anonymized time signals and the utilized scripts will be published in later versions. In addition, the metadata and an overview of data availability are uploaded. 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).

BibTex:

@dataset{Daphne_Schössow_and__Susanne_Könecke_and__Stephan_Preihs_and__Jürgen_Peissig_and__Tobias_Bohne_and__Tanja_Grießmann_and__Raimund_Rolfes__2023,
    abstract = {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 measurement data will be stored in a structured and anonymized form and will be provided for research purposes. In addition to the data, first evaluations as well as reference data sets for chosen scenarios will be published for the validation and verification of simulation models.

In this version of the data platform, a specification 2.0 and an anonymized data set 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 initially includes anonymized sound pressure levels and one-third octave spectra averaged over ten minutes. Higher resolutions of those data, anonymized time signals and the utilized scripts will be published in later versions. In addition, the metadata and an overview of data availability are uploaded. 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).},
    author = {Daphne Schössow and  Susanne Könecke and  Stephan Preihs and  Jürgen Peissig and  Tobias Bohne and  Tanja Grießmann and  Raimund Rolfes },
    doi = {10.25835/c2mv3d7z},
    institution = {Institut für Statik und Dynamik},
    keyword = {'Acoustic Measurements', 'WEA-Acceptance Data', 'Wind Turbine Sound'},
    month = {may},
    publisher = {LUIS},
    title = {WEA-Acceptance Data: Wind Turbine Dataset Including Acoustical, Meteorological and Turbine Parameters (Version 2.0)},
    url = {https://service.tib.eu/ldmservice/vdataset/luh-wea-acceptance_data_v1},
    year = {2023}
}