Simulation of Transport Phenomena during Natural Convection Cooling of Bagged Potatoes in Cold Storage, Part I: Fluid Flow and Heat Transfer

Chourasia, M.K.; Goswami, T.K.

doi:10.1016/j.biosystemseng.2006.02.003

Cited by 17 publications

(22 citation statements)

References 29 publications

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“…2(b). The transient and steady state air flow patterns obtained in the present study was similar with those reported for a single bag of potato cooled under the similar conditions of storage (Chourasia & Goswami, 2006). …”

Section: Air Flow Patternsupporting

confidence: 86%

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CFD simulation of effects of operating parameters and product on heat transfer and moisture loss in the stack of bagged potatoes

Chourasia

Goswami

2007

Journal of Food Engineering

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Section: Air Flow Patternsupporting

confidence: 86%

“…The details of the cold store as well as materials used for the experimentation are available in Chourasia and Goswami (2006). A total of four bags were placed in the vertical direction to measure the time-temperature history of the potato in the bags.…”

Section: Model Validationmentioning

confidence: 99%

CFD simulation of effects of operating parameters and product on heat transfer and moisture loss in the stack of bagged potatoes

Chourasia

Goswami

2007

Journal of Food Engineering

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“…Chourasia et al applied the RNG k-ε turbulence model with the finite volume solution technique. Average overall errors of 19.5%, 8%, 0.5 o C, and 0.61% were found for air velocity, air flow temperature, product temperature and moisture loss from the potatoes respectively [19,20,21,22]. found that the four different models with their individual prediction accuracy regarding the air velocity were the Standard k-ε model with 24.3 % error, Realizable k-ε model with 23.5 % error, RNG k-ε model with 22.4 % error and SST k-ω models with 18.2% error.…”

Section: Literature Reviewmentioning

confidence: 99%

Auxiliary Draught Base Performance Improvement of Air Distribution System of Cold Store

Mishra*,

Aharwal

2019

IJRTE

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Air distribution enable convective heat transfer in cold storage operation. Thermal behaviors of the cold storage system are based on air transport arrangements. Transport characteristics can handle with auxiliary arrangements such as induce draught system. Experimental investigation for the impact of auxiliary draught system (ADS) on air transportation is carried out. Air transport velocity was measured in the cold chamber with a hot wire anemometer. Experimental results show significant enhancement by three times mid-section air flow velocity and overall one- and half-time greater flow velocity observed, while return air velocity measured almost tow time of general condition during the experiment. COP of plant improve by 21% with 25% less time required to achieve desired temperature. 26% saving in power consumption observed during experiments. Auxiliary draught ensures homogeneous environment inside the plant through proper mixing of air and support convective heat transfer. Designing and analysis of airflow patterns with temperature distribution in large entity like cold storage is a difficult task thus Computational Fluid Dynamics (CFD) can address the issue with high degree of precision. It has been observed that SST K-ℇ model has average 26% error with experimental values

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“…(2009) investigated the cooling process of model food stacked in cold stores using a multiscale computational fluid dynamics (CFD) model. Chourasia and Goswami (2006a,b) also studied the transport phenomena during natural convection cooling of bagged potatoes in cold storage. Refrigerated agricultural products can either be stored in large bulks or in smaller units or packages.…”

Section: Introductionmentioning

confidence: 99%

The Use of CFD to Improve the Performance of a Partially Loaded Cold Store

Tanaka¹,

Konishi

Kuroki

et al. 2011

J Food Process Engineering

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A transient three‐dimensional computational fluid dynamics model was developed to investigate the cooling performance of a partially loaded cold store in cooling process. The model accounted for turbulence by means of the standard k‐ε model with standard wall profiles. The model was validated successfully in cooling experiments with a mean error of 0.36 m/s and 1.4C for the air velocity in a refrigerated room and the temperature of the product, respectively. Based on the model, we studied the effect of different loading patterns of corrugated fiberboard containers filled with products in a cold store on cooling effectiveness. As a result, flat loading with air gaps was the optimal configuration to achieve high uniformity of temperature and rapid cooling. The findings of this study can help to elucidate and improve the cooling performance of refrigerated rooms for storing agricultural products. PRACTICAL APPLICATIONS The developed model is used to assess the cooling performance of partially loaded store. In this study, we have investigated how to stack the product in cold store to achieve uniform and rapid cooling. In order to extend the shelf life of fresh produce, it is very important to investigate the effect of loaded pattern on the cooling performance. The developed cooling model with 48 loaded corrugated fiberboard containers was based on one container cooling model. The approach presented in this paper can be used to design the loading pattern of agricultural products in a cold store.

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Simulation of Transport Phenomena during Natural Convection Cooling of Bagged Potatoes in Cold Storage, Part I: Fluid Flow and Heat Transfer

Cited by 17 publications

References 29 publications

CFD simulation of effects of operating parameters and product on heat transfer and moisture loss in the stack of bagged potatoes

CFD simulation of effects of operating parameters and product on heat transfer and moisture loss in the stack of bagged potatoes

Auxiliary Draught Base Performance Improvement of Air Distribution System of Cold Store

The Use of CFD to Improve the Performance of a Partially Loaded Cold Store

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