Study of asymmetrically heated flows passing through gas-pressurized solar receivers using Direct Numerical Simulations

David, Martin; Toutant, Adrien; Bataille, Françoise

doi:10.1016/j.ijheatmasstransfer.2022.123577

Cited by 2 publications

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“…Notice that, flow physic has already been discussed in Ref. 44,49 . For that reason, in this paper, the flow physics is only discussed to highlight some T-LES behaviors.…”

Section: Resultsmentioning

confidence: 95%

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Thermal large-eddy simulation methods to model highly anisothermal and turbulent flows

2023

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Thermal Large-Eddy Simulations (T-LES) of highly anisothermal and turbulent channel flows are assessed using Direct Numerical Simulations (DNS). The investigated conditions are representative of solar receivers used in concentrated solar power towers. Four thermal operating conditions are considered. They aim to study several locations in the solar receiver. They are distinguished by different temperature profiles and thus different wall heat fluxes.The mean friction Reynolds number is close to 800 for all the simulations.The Navier-Stokes equations are solved under the low Mach number approximation. The nonlinear terms corresponding to the velocity-velocity and the velocity-temperature correlations are modeled. Functional, structural, and mixed models are investigated. An extension of the Anisotropic Minumum Dissipation (AMD) model to compressible case and two-layer mixed models are proposed and assessed. Fourth-order and second-order centered schemes are tested for the discretization of the momentum convection term. Firstly, a global assessment of 16 T-LES approaches on mean quantities and correlations for three different meshes is performed in reference conditions. Then, three of the T-LES are selected for more detailed analyzes. The mesh effect and the influence of the thermal conditions on the model accuracy are investigated. These detailed studies consist of the comparison of the relative error of the T-LES on mean quantities and correlations and the visualization of the normalized profiles as functions of the wall-normal distance. The results highlight the good agreement of two-layer mixed models consisting in the combination of the Bardina and the AMD models with the DNS for the three tested meshes.

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“…Notice that, flow physic has already been discussed in Ref. 44,49 . For that reason, in this paper, the flow physics is only discussed to highlight some T-LES behaviors.…”

Section: Resultsmentioning

confidence: 95%

“…Pr t is the turbulent Prandtl number. David et al 44,49 study the flow physic thanks to DNS in the four operating conditions that are investigated in this paper. They show that the turbulent Prandtl number is lying between 0.75 and 1.05 and can thus be well approximated with Pr t = 0.9.…”

Section: Functional Modelsmentioning

confidence: 99%