Published June 14, 2024 | Version 1.0.0
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PIBE project- Experimental characterization of stall noise in static and dynamic regimes using a NACA 63(3)418 airfoil

Description

Dynamic stall noise is one of the potential sources of amplitude modulations associated with wind turbine noise. This phenomenon is related to the periodic separation and reattachment of the boundary layer on the wind turbine blade suction side during its rotation. Within the framework of the PIBE project (Predicting the Impact of Wind Turbine Noise - https://www.anr-pibe.com/en), experiments were conducted in the anechoic wind tunnel of the École Centrale de Lyon in order to characterize stall noise on a pitching airfoil in both static and dynamic conditions.

In version 1.0.0 of the database, data from the second campaign using an instrumented NACA63(3)418 airfoil in static and dynamic conditions are provided. The static data can be found in the file static_data_NACA63418.h5 that contains:

  1. static wall pressure data : lift and pressure coefficients;
  2. dynamic wall pressure data : Power Spectral Density (PSD) of fluctuating wall pressure;
  3. far-field acoustic data : Power Spectral Density (PSD) of acoustic pressure.

The structure of the file is described in Tree_structure_static_data.pdf. To read the HDF5 file, the Matlab scripts given in read_HDF5_NACA63418_static_Matlab.zip can be used.

The dynamic data can be found in the file dynamic_data_NACA63418.h5 that contains:

  1. static wall pressure data : phase-averaged lift coefficients;
  2. dynamic wall pressure data : phase-averaged spectrograms of fluctuating wall pressure;
  3. far-field acoustic data : phase-averaged spectrograms of acoustic pressure.

The structure of the file is described in Tree_structure_dynamic_data.pdf. To read the HDF5 file, the Matlab scripts given in read_HDF5_NACA63418_dynamic_Matlab.zip can be used. Only the results for a mean angle of attack of 15° and an amplitude of 15° are provided in this file.

Files

Final_report_WP1_PIBE_project.pdf

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Additional details

Related works

References
Journal: 10.1016/j.jsv.2022.117144 (DOI)
Conference paper: 10.2514/6.2021-2291 (DOI)

Funding

Prévoir l'Impact du Bruit des Eoliennes (PIBE) ANR-18-CE04-0011
Agence Nationale de la Recherche