Semi-empirical framework for predicting the noise from wind-turbine blades with serrated trailing edges

Conference Paper (2023)
Author(s)

Lourenço Tércio Lima Pereira (TU Delft - Wind Energy)

Francesco Avallone (TU Delft - Wind Energy, Politecnico di Torino)

Daniele Ragni (TU Delft - Wind Energy)

Steven Buck (Siemens Gamesa Renewable Energy)

S. Oerlemans (Siemens Gamesa Renewable Energy)

Research Group
Wind Energy
Copyright
© 2023 L.T. Lima Pereira, F. Avallone, D. Ragni, Steven Buck, S. Oerlemans
DOI related publication
https://doi.org/10.2514/6.2023-3644
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 L.T. Lima Pereira, F. Avallone, D. Ragni, Steven Buck, S. Oerlemans
Research Group
Wind Energy
ISBN (electronic)
978-1-62410-704-7
Reuse Rights

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Abstract

This work proposes a semi-empirical framework to predict the noise of wind turbines with serrated trailing edge blades. The framework is employed for studying the reduction of the noise of the SWT 2.3-93 benchmark wind turbine. The framework is verified against field acoustic measurements of the real wind-turbine model and of noise reduction measured for airfoil geometries with serrated trailing edges. Two different serration design strategies are proposed, respectively one with the same serration geometry along the blade and one with serrations scaled with the local boundary-layer properties along the radius. Results show the predicted noise reduction obtained with each of the add-ons and explore the benefits of tailoring the design of the serrations according to the varying flow conditions along the blade span.

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