Numerical Simulation of Gas Exchange in Fresh-keeping Transportation Containers with a Controlled Atmosphere

Lü, Enli; Lu, Huazhong; Wang, Yu; Zhao, Jun

doi:10.3136/fstr.22.429

Cited by 4 publications

(4 citation statements)

References 37 publications

(47 reference statements)

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“…The product affects the direction and velocity value of the airflow in a container. In particular, the air velocity can be significantly weakened upon contact with the product [ 37 ]. Consideration must be given to the viscosity of the airflow near the container and the product surface size; thus, superficial velocity should be an option in the porous formulation.…”

Section: Methodsmentioning

confidence: 99%

“…As an important boundary parameter of the simulation, the fluid type is determined by the Reynolds number (Re) [ 37 ]. The Reynolds number of the model was calculated using Equation (5) [ 38 ].…”

Section: Methodsmentioning

confidence: 99%

“…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%

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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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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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

Zeng

Jiang

et al. 2022

Foods

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“…The independence of the generated mesh by ICEM-CFD is very important when simulated in FLUENT. Mesh size is the main reason for direct error accumulation [44,45]. Additionally, large mesh size also significantly slows down calculation efficiency.…”

Section: Methodsmentioning

confidence: 99%

Temperature Distribution in Insulated Temperature-Controlled Container by Numerical Simulation

Xia

Wei

et al. 2020

Energies

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Cold-storage containers are widely used in cold-chain logistics transportation due to their energy saving, environmental protection, and low operating cost. The uniformity of temperature distribution is significant in agricultural-product storage and transportation. This paper explored temperature distribution in the container by numerical simulation, which included ventilation velocity and the fan location. Numerical model/numerical simulation showed good agreement with experimental data in terms of temporal and spatial air temperature distribution. Results showed that the cooling rate improved as velocity increased, and temperature at 45 min was the lowest, when velocity was 16 m/s. Temperature-distribution uniformity in the compartment became worse with the increase in ventilation velocity, but its lowest temperature decreased with a velocity increase. With regard to fan energy consumption, the cooling rate of the cooling module, and temperature-field distribution in the product area, velocity of 12 m/s was best. Temperature standard deviation and nonuniformity coefficient in the container were 0.87 and 2.1, respectively, when fans were located in the top four corners of the container. Compared with before, the average temperature in the box was decreased by 0.12 °C, and the inhomogeneity coefficient decreased by more than twofold. The results of this paper provide a better understanding of temperature distribution in cold-storage containers, which helps to optimize their structure and parameters.

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Numerical simulation of liquid nitrogen injection in a container with controlled atmosphere

Wei

Ren

et al. 2019

Biosystems Engineering

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Numerical Simulation of Gas Exchange in Fresh-keeping Transportation Containers with a Controlled Atmosphere

Abstract: Maintaining a suitable gas composition in a transportation container with controlled atmosphere is important.When O 2 concentration is below the suitable value, gas exchange is activated to improve O 2 concentration.

Cited by 4 publications

References 37 publications

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

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

Temperature Distribution in Insulated Temperature-Controlled Container by Numerical Simulation

Numerical simulation of liquid nitrogen injection in a container with controlled atmosphere

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