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April 5, 2026International Journal of Numerical Methods for Heat &amp Fluid Flow0 citations

Efficient wall-modelled large eddy simulation of rotors using homogenized lattice Boltzmann methods

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AKAdrian KummerländerSIShota ItoMSMaximilian Schecher

Key Points

  • The aim is to develop a WMLES approach that accurately captures forces on rotors and their wake effects using LBM.
  • Developed a wall-modeled large eddy simulation method based on lattice Boltzmann methods.
  • Utilized a hybrid recursive collision scheme aligned with filtered Brinkman–Navier–Stokes equations.
  • Validated approach against both experimental and numerical data for wind turbines.
  • Conducted computational efficiency evaluations with roofline analysis and scaling studies.
  • Achieved excellent agreement for integral forces and wake velocity profiles in wind turbine simulations.
  • Demonstrated strong computational efficiency and parallel scalability for up to 512 rotors on a supercomputer.
  • Verified approach through comparisons with canonical turbulent Taylor–Couette flow.

Abstract

Purpose Accurately capturing the dynamic forces acting on rotors as well as their wake effects presents a significant challenge for computational fluid dynamics due to high Reynolds numbers and a large range of spatio-temporal scales. This study aims to propose a novel blade-resolved wall-modeled large eddy simulation (WMLES) approach based on the lattice Boltzmann methods (LBM). Design/methodology/approach A homogenized hybrid regularized recursive collision scheme targeting the filtered Brinkman–Navier–Stokes equations is combined with a novel wall-model. This is implemented in the context of a platform-transparent framework for fluid-structure interaction in the open-source LBM framework OpenLB. Findings The approach is first verified for a canonical turbulent Taylor–Couette flow. Following this, convergence order and accuracy are validated against both experimental and numerical data for a rigid model wind turbine, demonstrating excellent agreement for integral forces and wake velocity profiles. Computational efficiency and parallel scalability was investigated by roofline analysis and weak scaling studies for up to 512 rotors resolved by 54 billion lattice cells on the Karolina supercomputer. Originality/value The proposed framework enables efficient blade-resolved WMLES of entire wind farms and offers a new methodology for other complex wall-modeled fluid-structure interaction applications.

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Cite This Study

Kummerländer et al. (2026) studied this question.

synapsesocial.com/papers/69d1fdd4a79560c99a0a4181https://doi.org/10.1108/hff-09-2025-0724
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