Influence of inlet boundary conditions on 3D steady RANS simulations of non-isothermal mechanical ventilation in a generic closure

Kang, Luyang; Hooff, T. van

doi:10.1016/j.ijthermalsci.2022.107792

Cited by 8 publications

(4 citation statements)

References 104 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: 75%

“…In all cases comparing the RANS and URANS models with the results of the LES approach it was found that the LES results better reproduce the tested airflows in the room. In previous work [33,34,39,40], it was indicated that the RANS/SST k-ω model better agreed with measurement data compared to other RANS models. Earlier studies [37,38] did not identify the best turbulence model among the RANS models.…”

Section: Recommended Turbulence Modelsmentioning

confidence: 85%

“…Previous papers [33,37,39,42] presented a quantitative comparison based on determining the validation metrics FAC(H). These metrics describe the fraction of the data within the range (1/H; H):…”

Section: Methods Of Cfd Validationmentioning

confidence: 99%

See 2 more Smart Citations

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: 75%

Section: Recommended Turbulence Modelsmentioning

confidence: 85%

See 1 more Smart Citation

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

Hurnik,

Ciuman,

Popiolek

2024

Energies

View full text Add to dashboard Cite

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“…The grid size of the openings in this study was less than 0.4 m. At least five boundary layers were generated at pedestrian heights (1.5 m) near the surfaces of the building and the ground. In order to validate the accuracy of the internal model, the mesh dependency test [37] was conducted to create three different mesh models: a coarse mesh model (mesh number: 597,709), a medium mesh model (mesh number: 1,206,857), and a fine grid model (mesh number: 2,421,152), where U is the relative value of the position coordinate and the length of the measuring axis. Figure 5 shows the velocity variation at the outlet reference point.…”

Section: Mesh Dependency Testmentioning

confidence: 99%

Simulation Study on Natural Ventilation Performance in a Low-Carbon Large-Space Public Building in Hot-Summer and Cold-Winter Region of China

Liu,

Pan,

et al. 2023

Buildings

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Recently, climate governance has entered a new phase of accelerating decarbonization. In order to achieve low-carbon buildings, natural ventilation has been widely used as it requires no fan power. However, there are great challenges for achieving effective natural ventilation in large-space public buildings especially in areas characterized by hot-summer and cold-winter climatic regions, due to empirically unsuitable ambient temperatures and theoretically complex joint effect of wind pressure and thermal buoyancy. Therefore, this numerical study was conducted on the performance of a natural ventilation strategy in a large-space public building in a hot-summer and cold-winter region by using computational fluid dynamics (CFD) methods. Simulations were performed by applying FLUENT software for obtaining airflow distributions within and around a typical low-carbon public building. The temperature distribution in the atrium of the building was simulated particularly for analyzing the natural ventilation performance in a large-space area. Results demonstrated that thermal pressure was dominant for the large-space building in the case study. The average indoor airflow velocities on different floors ranged from 0.43 m/s to 0.47 m/s on the windward side which met indoor ventilation requirements. Most areas of wind velocities could meet ventilation requirements. The natural ventilation performance could be improved by increasing the relative height difference between the air inlets and air outlets. These findings could help provide references and solutions for realizing natural ventilation in low-carbon large-space public buildings in hot-summer and cold-winter regions.

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CFD simulation of air distributions in a small multi-layer vertical farm: Impact of computational and physical parameters

Kang,

Zhang,

Kacira

et al. 2024

Biosystems Engineering

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Influence of inlet boundary conditions on 3D steady RANS simulations of non-isothermal mechanical ventilation in a generic closure

Cited by 8 publications

References 104 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

Simulation Study on Natural Ventilation Performance in a Low-Carbon Large-Space Public Building in Hot-Summer and Cold-Winter Region of China

CFD simulation of air distributions in a small multi-layer vertical farm: Impact of computational and physical parameters

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