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

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

Lima Pereira, L.T. (TU Delft Wind Energy)
Avallone, F. (TU Delft Wind Energy; Politecnico di Torino)
Ragni, D. (TU Delft Wind Energy)
Buck, Steven (Siemens Gamesa Renewable Energy)
Oerlemans, S. (Siemens Gamesa Renewable Energy)

2023

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.

http://resolver.tudelft.nl/uuid:378a6328-9f7b-462b-a7cc-2e71db7b9a07

https://doi.org/10.2514/6.2023-3644

American Institute of Aeronautics and Astronautics Inc. (AIAA)

2024-01-01

978-1-62410-704-7

AIAA AVIATION 2023 Forum

AIAA AVIATION 2023 Forum, 2023-06-12 → 2023-06-16, San Diego, United States

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2023 L.T. Lima Pereira, F. Avallone, D. Ragni, Steven Buck, S. Oerlemans