2019
DOI: 10.5194/wes-2018-76
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A vortex-based tip/smearing correction for the actuator line

Abstract: The actuator line was intended as a lifting line technique for CFD applications. In this paper we proof -theoretically and practically -that smearing the forces of the actuator line in the flow domain necessarily leads to smeared velocity fields. By combining a near-wake representation of the trailed vorticity with a viscous vortex core model, the missing induction from the smeared velocity is recovered. This novel dynamic smearing correction is verified for basic wing test cases and rotor simulations of a mul… Show more

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Cited by 11 publications
(26 citation statements)
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“…The smearing length scale is twice the grid size as recommended by Troldborg to guarantee numerical stability. The force smearing leads to overpredictions in the blade forces, which is counteracted by the correction of Meyer Forsting et al To ensure that the blade tip remain inside a single cell during one time step, normalΔt<2normalΔxfalse/false(normalΩDfalse), with mesh spacing normalΔx and rotational speed normalΩ.…”
Section: Methodology For Validationmentioning
confidence: 72%
“…The smearing length scale is twice the grid size as recommended by Troldborg to guarantee numerical stability. The force smearing leads to overpredictions in the blade forces, which is counteracted by the correction of Meyer Forsting et al To ensure that the blade tip remain inside a single cell during one time step, normalΔt<2normalΔxfalse/false(normalΩDfalse), with mesh spacing normalΔx and rotational speed normalΩ.…”
Section: Methodology For Validationmentioning
confidence: 72%
“…An adequate and physical filtering may be achieved using subgrid scale models and proper account of viscous diffusion -but such models are not readily available for a filament-based vortex method and are hard to achieve unless the topology and connectivity of the wake are modified. The topic of regularization is being actively researched for actuator line CFD (Martínez-Tossas and Meneveau, 2019;Meyer Forsting et al, 2019) and vortex-based methods (Li et al, 2020). Future work should focus on the convergence of the lifting-line method with blade discretization and convergence of the filament-based vortex method, through comparisons with measurements and blade-resolved simulations.…”
Section: Discussion On Regularizationmentioning
confidence: 99%
“…The governing equations obtained by filtering the N‐S equations are expressed as: ∂ρ∂t+xi()normalρnormalufalse~i=0, normalufalse~i∂t+normalufalse~inormalufalse~jxj=0.5em1ρtruep~xi+normalμxj()trueu~normalinormalxnormali+normalτfalse~ijxj+fi,1.5em where, ρ denotes the density, truep~ is the fitted pressure, ufalse~i represents the fitted velocities ( trueu~, truev~, truew~), μ is the viscosity, τfalse~ij denotes the SGS stress, and f i is the source term representing the external force because of the effects of the wind turbine, which is determined by ALM . In the present LES, the Gaussian smearing technology capable of improving the accuracy and the stability of the simulation when using ALM was not applied. But the comparison between the present numerical simulation and the experiment is good as presented below.…”
Section: Wind Turbine Wake Simulationmentioning
confidence: 99%