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Direct Prediction of Flow Noise Around Airfoils Using an Adaptive Lattice Boltzmann Method

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Handbook of Wind Energy Aerodynamics

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Introduction

Wind power converted through wind turbines is becoming one of the main renewable energy sources. As wind turbines grow in size and power, complex engineering problems arise. Among the most pressing is the prediction and reduction of the noise generated by the turbine blades. Indeed, although some turbines are located in offshore wind farms, onshore wind turbines often have to be installed in the vicinity of residential areas and can be regarded as a nuisance (Nobbs et al. 2012).

In this chapter, we present a new and particularly efficient approach to compute the noise generated by the turbulent flow around airfoils. This approach is based on the lattice Boltzmann method (LBM). The LBM is an unsteady computational fluid dynamics method well suited for large eddy simulation (LES), for example, thanks to its ability to retrieve the strain-rate tensor locally. Because it has a small stencil size and time-explicit nature, the LBM has good scalability on parallel computing...

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Acknowledgements

This work is supported by EPSRC grant number EP/S013296/1: Aerodynamics and aeroacoustics of turbulent flows over and past permeable rough surfaces. Computational resources and support were provided by the ARCHER HPC facility. The authors also acknowledge the use of the IRIDIS HPC facility, and associated support services at the University of Southampton, in the completion of this work.

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Authors and Affiliations

  1. Aerodynamics and Flight Mechanics Research Group, University of Southampton, Boldrewood Innovation Campus, Southampton, UK

    M. Grondeau & R. Deiterding

Authors
  1. M. Grondeau
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  2. R. Deiterding
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Corresponding author

Correspondence to R. Deiterding .

Editor information

Editors and Affiliations

  1. Fraunhofer Institute for Wind Energy and, Oldenburg, Germany

    Bernhard Stoevesandt

  2. TNO-Energy Research Centre of the Nether, Netherlands Organisation for Applied Sci, Petten, The Netherlands

    Gerard Schepers

  3. Siemens Gamesa Renewable Energy, Brande, Denmark

    Peter Fuglsang

  4. Goldwind Americas, Chicago, IL, USA

    Sun Yuping

Section Editor information

  1. Aerodynamics, CFD and stochastic Dynamics, Fraunhofer Institute for Wind Energy Systems, Oldenburg, Germany

    Bernhard Stoevesandt

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Grondeau, M., Deiterding, R. (2021). Direct Prediction of Flow Noise Around Airfoils Using an Adaptive Lattice Boltzmann Method. In: Stoevesandt, B., Schepers, G., Fuglsang, P., Yuping, S. (eds) Handbook of Wind Energy Aerodynamics. Springer, Cham. https://doi.org/10.1007/978-3-030-05455-7_74-1

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  • DOI: https://doi.org/10.1007/978-3-030-05455-7_74-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05455-7

  • Online ISBN: 978-3-030-05455-7

  • eBook Packages: Springer Reference EnergyReference Module Computer Science and Engineering

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