Trailing Edge Noise Prediction of Wind Turbine Airfoils: A Benchmark Exercise

O. Ferret Gasch; S. Oerlemans; B. W. Faßmann; M. Herr; F. Bertagnolio; A. Fischer; B. Arnold; T. Lutz

doi:10.2514/6.2019-2675

Trailing Edge Noise Prediction of Wind Turbine Airfoils: A Benchmark Exercise

O. Ferret Gasch, S. Oerlemans, B. W. Faßmann, M. Herr, F. Bertagnolio, A. Fischer, B. Arnold, T. Lutz

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

This paper presents a trailing edge noise prediction study of two state-of-the-art wind turbine airfoils, benchmarked against dedicated aerodynamic and acoustic wind tunnel experiments. Blind predictions were carried out by three institutes with long experience in trailing edge noise simulation: the German Aerospace Centre (DLR), the Danish Technical University (DTU), and the Institute of Aerodynamics and Gas Dynamics (IAG) at the University of Stuttgart. Experimental data and engineering predictions were provided by Siemens Gamesa Renewable Energy (SGRE). While the aerodynamic predictions generally show good agreement, the acoustic results of the different codes exhibit substantial scatter, even in terms of relative sound pressure levels. This means that for industrial design decisions, where high accuracy is needed (

Original language	English
Title of host publication	Proceedings of the 25th AIAA/CEAS Aeroacoustics Conference
Publisher	Aerospace Research Central (ARC)
Publication date	2019
ISBN (Electronic)	978-1-62410-588-3
DOIs	https://doi.org/10.2514/6.2019-2675
Publication status	Published - 2019
Event	25th AIAA/CEAS Aeroacoustics Conference - Technical University of Delft, Delft, Netherlands Duration: 20 May 2019 → 23 May 2019 Conference number: 25 https://arc.aiaa.org/doi/book/10.2514/MAERO19

Conference

Conference	25th AIAA/CEAS Aeroacoustics Conference
Number	25
Location	Technical University of Delft
Country/Territory	Netherlands
City	Delft
Period	20/05/2019 → 23/05/2019
Internet address	https://arc.aiaa.org/doi/book/10.2514/MAERO19

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title = "Trailing Edge Noise Prediction of Wind Turbine Airfoils: A Benchmark Exercise",

abstract = "This paper presents a trailing edge noise prediction study of two state-of-the-art wind turbine airfoils, benchmarked against dedicated aerodynamic and acoustic wind tunnel experiments. Blind predictions were carried out by three institutes with long experience in trailing edge noise simulation: the German Aerospace Centre (DLR), the Danish Technical University (DTU), and the Institute of Aerodynamics and Gas Dynamics (IAG) at the University of Stuttgart. Experimental data and engineering predictions were provided by Siemens Gamesa Renewable Energy (SGRE). While the aerodynamic predictions generally show good agreement, the acoustic results of the different codes exhibit substantial scatter, even in terms of relative sound pressure levels. This means that for industrial design decisions, where high accuracy is needed (",

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language = "English",

booktitle = "Proceedings of the 25th AIAA/CEAS Aeroacoustics Conference",

publisher = "Aerospace Research Central (ARC)",

note = "25th AIAA/CEAS Aeroacoustics Conference ; Conference date: 20-05-2019 Through 23-05-2019",

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Gasch, OF, Oerlemans, S, Faßmann, BW, Herr, M, Bertagnolio, F , Fischer, A, Arnold, B & Lutz, T 2019, Trailing Edge Noise Prediction of Wind Turbine Airfoils: A Benchmark Exercise. in Proceedings of the 25th AIAA/CEAS Aeroacoustics Conference. Aerospace Research Central (ARC), 25th AIAA/CEAS Aeroacoustics Conference, Delft, Netherlands, 20/05/2019. https://doi.org/10.2514/6.2019-2675

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AU - Gasch, O. Ferret

AU - Oerlemans, S.

AU - Faßmann, B. W.

AU - Herr, M.

AU - Bertagnolio, F.

AU - Fischer, A.

AU - Arnold, B.

AU - Lutz, T.

N1 - Conference code: 25

PY - 2019

Y1 - 2019

N2 - This paper presents a trailing edge noise prediction study of two state-of-the-art wind turbine airfoils, benchmarked against dedicated aerodynamic and acoustic wind tunnel experiments. Blind predictions were carried out by three institutes with long experience in trailing edge noise simulation: the German Aerospace Centre (DLR), the Danish Technical University (DTU), and the Institute of Aerodynamics and Gas Dynamics (IAG) at the University of Stuttgart. Experimental data and engineering predictions were provided by Siemens Gamesa Renewable Energy (SGRE). While the aerodynamic predictions generally show good agreement, the acoustic results of the different codes exhibit substantial scatter, even in terms of relative sound pressure levels. This means that for industrial design decisions, where high accuracy is needed (

AB - This paper presents a trailing edge noise prediction study of two state-of-the-art wind turbine airfoils, benchmarked against dedicated aerodynamic and acoustic wind tunnel experiments. Blind predictions were carried out by three institutes with long experience in trailing edge noise simulation: the German Aerospace Centre (DLR), the Danish Technical University (DTU), and the Institute of Aerodynamics and Gas Dynamics (IAG) at the University of Stuttgart. Experimental data and engineering predictions were provided by Siemens Gamesa Renewable Energy (SGRE). While the aerodynamic predictions generally show good agreement, the acoustic results of the different codes exhibit substantial scatter, even in terms of relative sound pressure levels. This means that for industrial design decisions, where high accuracy is needed (

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DO - 10.2514/6.2019-2675

M3 - Article in proceedings

BT - Proceedings of the 25th AIAA/CEAS Aeroacoustics Conference

PB - Aerospace Research Central (ARC)

T2 - 25th AIAA/CEAS Aeroacoustics Conference

Y2 - 20 May 2019 through 23 May 2019

ER -

Trailing Edge Noise Prediction of Wind Turbine Airfoils: A Benchmark Exercise

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