Airflow in a slot-ventilated enclosure partially filled with porous boxes: Part II – Measurements and simulations within porous boxes

Moureh, Jean; Tapsoba, Mitoubkieta; Flick, Denis

doi:10.1016/j.compfluid.2008.02.007

Cited by 32 publications

(27 citation statements)

References 28 publications

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“…• The stack of goods is considered to be an isotropic porous medium (Verboven et al 2006;Moureh et al 2009c;Delele et al 2012). Furthermore, the thermophysical properties of the porous medium are constant within the range of temperatures encountered.…”

Section: Mathematical Modelmentioning

confidence: 99%

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Computational Fluid Dynamics Simulation to Determine Combined Mode to Conserve Energy in Refrigerated Vehicles

Han

Zhao

Yang

et al. 2015

J Food Process Engineering

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In this work, to improve the rate at which cool air ventilates the tail of a refrigerated compartment and thereby reduces the temperature difference between the front and rear of the cargo area, we increase the length of an air conduit in the direction of the air outlet of the refrigerating unit. In addition, minimizing the cooling time during transportation reduces energy consumption and improves the economics of cold‐chain transport. To address this problem, we created a three‐dimensional computational fluid dynamics model of a transport compartment and used potatoes as test cargo. The unsteady shear stress transport κ‐ω model was adopted to simulate air flow and heat transfer inside the compartment. The results show that the additional air conduit inside the compartment should significantly improve the spatial uniformity of the temperature inside the cargo area. The results of the simulation are consistent with experiments. Practical Applications Although cold‐chain transport must ensure a constant low‐temperature environment for perishable foods, more important is the requirement to maintain temperature uniformity in the cargo area. This is the basis by which the quality, safety and shelf life of perishable food are ensured. In this study, we have investigated how to minimize the cooling time during transportation in order to reduce energy consumption and improve the rate at which cool air ventilates the tail of a refrigerated compartment. This research provides reliable theoretical arguments for enhancing temperature uniformity in the cargo enclosure of refrigeration trucks and for reducing unnecessary energy consumption during transportation.

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Section: Mathematical Modelmentioning

confidence: 99%

“…; Moureh et al . 2009a,b,c). Validated mathematical models of this type can answer “what if” questions in a relatively cheap manner.…”

Section: Introductionmentioning

confidence: 99%

Computational Fluid Dynamics Simulation to Determine Combined Mode to Conserve Energy in Refrigerated Vehicles

Han

Zhao

Yang

et al. 2015

J Food Process Engineering

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“…For example, Tapsoba et al [1] and Moureh et al [2,3] modeled turbulent airflow inside and around slottedenclosures filled with spheres to understand the airflow distribution of the problem. In another study, Delele et al [4] storage room containing boxes loaded with spheres to predict airflow, temperature and humidity distribution.…”

Section: Introductionmentioning

confidence: 99%

Closure of a macroscopic turbulence and non-equilibrium turbulent heat and mass transfer model for a porous media comprised of randomly packed spheres

Khan

Straatman

2016

International Journal of Heat and Mass Transfer

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Section: Introductionmentioning

confidence: 99%

“…Ambaw [4] summarized studies on the cooling of harvested food, indicating some progress being made between 2006 and 2013 with the accuracy of the models. With simulations mainly based on Reynolds averaging turbulence models as the k-ϵ or shear stress transport (SST) model [5][6][7][8], he also came to the conclusion, that a clear increase in the accuracy of turbulent 3D simulations within complex cooled geometries compared with experimental data has still to come.According to James [9] first simulations of the open door tests have been carried out by Tso et al [10]. Tso's simulated temperatures deviate from experimental recordings by up to 4 K at a temperature difference of about 26 K. Son [11] showed an approximation to the validation data up to 1.13 K in the simulation of the velocity and temperature distribution in the interior of a filled warehouse, while a very slow velocity and a temperature difference of just 7 K was chosen.…”

mentioning

confidence: 99%

Application of a lattice Boltzmann method combined with a Smagorinsky turbulence model to spatially resolved heat flux inside a refrigerated vehicle

Gaedtke

Wachter

Rädle

et al. 2018

Computers & Mathematics with Applications

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a b s t r a c tIn this work the simulation of velocity and temperature distributions inside a refrigerated vehicle is evaluated. For this purpose a 3D double distribution lattice Boltzmann method (LBM) with the Bhatnagar-Gross-Krook (BGK) collision operator is coupled by the buoyancy force calculated with the Boussinesq approximation. This LBM is extended by a Smagorinsky subgrid method, which numerically stabilizes the BGK scheme for low resolutions and high Reynolds and Rayleigh numbers. Besides validation against the two benchmark cases porous plate and natural convection in a square cavity evaluated at resolutions of y + ≈ 2 for Ra numbers between 10 3 and 10 10 , the method and its implementation are tested via comparison with experimental data for a refrigerated vehicle at Re ≈ 53 000.The aim of the investigation is to provide a deeper understanding of the refrigerated vehicle's insulation processes including its thermal performance under turbulent flow conditions. Therefore, we extend this method by the half lattice division scheme for conjugate heat transfer to simulate in the geometry of a refrigerated vehicle including its insulation walls. This newly developed method combination enables us to accurately predict velocity and temperature distributions inside the cooled loading area, while spatially resolving the heat flux through the insulation walls. We simulate the time dependent heating process of the open door test and validate against measurements at four characteristic velocity and 13 temperature positions in the truck. (M. Gaedtke). are complex material requirements which, in addition to the insulation, include static stability, load securing as well as resistance against vibrational stress.According to Smale [2] most simulations and models for the representation of a velocity and temperature distribution in the field of applied cooling of geometries between 1974 and 2006 have shown low accuracy and large deviations from experimental data. Tabsoba et al. [3] studied the influence of the k-ϵ turbulence model against the Reynolds stress model, where they indicated the k-ϵ model to fail at the prediction of certain flow characteristics in ventilated enclosures. Ambaw [4] summarized studies on the cooling of harvested food, indicating some progress being made between 2006 and 2013 with the accuracy of the models. With simulations mainly based on Reynolds averaging turbulence models as the k-ϵ or shear stress transport (SST) model [5][6][7][8], he also came to the conclusion, that a clear increase in the accuracy of turbulent 3D simulations within complex cooled geometries compared with experimental data has still to come.According to James [9] first simulations of the open door tests have been carried out by Tso et al. [10]. Tso's simulated temperatures deviate from experimental recordings by up to 4 K at a temperature difference of about 26 K. Son [11] showed an approximation to the validation data up to 1.13 K in the simulation of the velocity and temperature distribution in the interior of a filled...

show abstract

Airflow in a slot-ventilated enclosure partially filled with porous boxes: Part II – Measurements and simulations within porous boxes

Cited by 32 publications

References 28 publications

Computational Fluid Dynamics Simulation to Determine Combined Mode to Conserve Energy in Refrigerated Vehicles

Computational Fluid Dynamics Simulation to Determine Combined Mode to Conserve Energy in Refrigerated Vehicles

Closure of a macroscopic turbulence and non-equilibrium turbulent heat and mass transfer model for a porous media comprised of randomly packed spheres

Application of a lattice Boltzmann method combined with a Smagorinsky turbulence model to spatially resolved heat flux inside a refrigerated vehicle

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