Large-eddy simulation of an air curtain confining a cavity and subjected to an external lateral flow

Moureh, Jean; Yataghene, Mourad

doi:10.1016/j.compfluid.2017.04.013

Cited by 12 publications

(5 citation statements)

References 62 publications

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“…LES is in better agreement with measurements than RANS and URANS Kang and van Hooff (2022) [33] Non-isothermal side-wall jet Two opposing plane wall jets in an empty airplane cabin In the studies presented in Table 2 and within several older papers, the air movement in the room was caused by air jets such as plane jets [41,46], plane wall jets [31,34,36,38,39,46], 3D circular quasi-free sidewall jets [32,33,42,44], impinging jets [37,40,43], slightly swirling free jets [45], and confluent jets [47]. In order to validate the CFD results in the jet zone, the air velocity measurements were performed using LDA [32,40,41,44,45], a hot-wire anemometer [40,42], a three-hot-wire anemometer [33], PIV anemometry [34,37,41], a low-velocity thermal anemometer (LVTA) [38], and an ultrasonic anemometer [40]. In a previous paper [31], RANS CFD results were validated using LES results.…”

Section: Impact Of Turbulence Model On Cfd Resultsmentioning

confidence: 89%

Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a Room

Hurnik,

Ciuman,

Popiolek

2024

Energies

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Air velocity is one of the key parameters affecting the sensation of thermal comfort. In mixing ventilation, the air is most often supplied above the occupied zone, and the air movement in a room is caused by jets that generate recirculating flows. An effective tool for predicting airflow in a room is CFD numerical modeling. In order to reproduce the air velocity distribution, it is essential to select a proper turbulence model. In this paper, seven Eddy–Viscosity RANS turbulence models were used to carry out CFD simulations of a sidewall air jet supplied into a room through a wall diffuser. The goal was to determine which model was the most suitable to adopt in this type of airflow. The CFD results were validated using experimental data by comparing the gross and integral parameters, along with the parameters of the quasi-free jet model. The numerical results obtained for Std k-ε and EVTM models were most consistent with the measurements. Their error values slightly exceeded 15%. On the contrary, the k-ω and RNG k-ε models did not reproduce the quasi-free jet parameters correctly. The research findings can prove beneficial for simulating air distribution in supplied air jets during the initial conceptual phases of HVAC system design.

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Section: Impact Of Turbulence Model On Cfd Resultsmentioning

confidence: 89%

Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a Room

Hurnik,

Ciuman,

Popiolek

2024

Energies

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“…In previous CFD studies on refrigerated food applications [ 39 ], the k-ε turbulent model was widely used to solve many turbulence problems with high Re values, because it supplies adequate information regarding the turbulent process [ 40 , 41 , 42 ]. A standard k-ε model reduces the computational cost in terms of memory and CPU time [ 43 ]. The turbulence intensity (I) was needed for the CFD simulation, which was calculated by Equation (6) [ 37 ]:

where

is the Reynolds number calculated by hydraulic diameter.…”

Section: Methodsmentioning

confidence: 99%

Numerical Analysis on Heat Characteristics of the Ventilation Basket for Fresh Tea Leaves

Zeng

Jiang

et al. 2022

Foods

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Plastic baskets are commonly used as containers for fresh tea leaves during storage and transport after harvest. Nevertheless, there are significant challenges in controlling the core temperature of the basket since fresh tea leaves still maintain a certain degree of respiration after being harvested, with extremely high temperatures being the major factor for the color change of fresh tea leaves. A numerical model was developed to improve the temperature control of the plastic basket, by which the influence of different structural parameters on the core temperature in the plastic baskets with fresh tea leaves was analyzed. The accuracy of the model in predicting airflow and temperature distributions was validated against experimental data. The maximum RMSE was 1.158 °C and the maximum MRE was 5.410% between the simulated and test temperature value. The maximum deviation between the simulated velocity and test velocity was 0.11 m/s, the maximum RE was 29.05% and the maximum SD was 0.024. The results show that a plastic basket with a ventilation duct efficiently decreased the temperature of the fresh tea leaves and significantly affected the heat transfer between the fresh tea leaves and the ambient air compared to the plastic basket without a ventilation duct. Furthermore, the effect on the heat transfer was further expanded by the use of a plastic basket with a ventilation duct when the plastic baskets were stacked. The maximum temperature differences were 0.52 and 0.40 according to the stacked and single-layer products, respectively. The ambient temperature and the bulk density of the fresh tea leaves have a significant influence on the core temperature.

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“…Instead, the aim was to examine the capability of a 2D k-ε model to reproduce the main phenomena and to predict the product temperatures in the display cabinet with acceptable accuracy. An example of more precise models with a three-dimensional large-eddy simulation (LES) can be found in Moureh and Yataghene (2017). The prediction of velocity profile with the refrigeration system turned "on" was compared with the results obtained from the PIV measurements.…”

Section: Cfd Modelingmentioning

confidence: 99%

Experimental and numerical characterization of airflow in a closed refrigerated display cabinet using PIV and CFD techniques

Chaomuang

Flick

Denis

et al. 2020

International Journal of Refrigeration

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Air velocity measurements were carried out using the Particle Image Velocimetry (PIV) technique in a display cabinet under two configurations: closed and open doors. Two conditions (refrigeration system turned "on" and turned "off") were studied in the closed configuration. The airflow pattern was almost the same for both conditions. The air curtain was quite stable. In the upper part of the cabinet, air recirculation occurred, and this phenomenon induces external air infiltration through the door gaps. The air curtain in the open configuration (refrigeration system turned "off") was less stable than the closed configuration. Large unsteady eddies developed in the mixing layers, thereby promoting greater external air infiltration. A two-dimensional computational fluid dynamic (2D-CFD) model was developed and showed the ability to reproduce the main flow phenomena observed in the experiment. The trend of predicted product temperature profile was also in agreement with the experimental values, despite slight underestimation.

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Large-eddy simulation of an air curtain confining a cavity and subjected to an external lateral flow

Cited by 12 publications

References 62 publications

Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a Room

Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a Room

Numerical Analysis on Heat Characteristics of the Ventilation Basket for Fresh Tea Leaves

Experimental and numerical characterization of airflow in a closed refrigerated display cabinet using PIV and CFD techniques

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