Numerical Modelling of Heat and Mass Transfer in Vegetables Cold Storage

Kolodziejczyk, M; Śmierciew, Kamil; Gagan, Jerzy; Butrymowicz, Dariusz

doi:10.1016/j.proeng.2016.08.367

Cited by 17 publications

(6 citation statements)

References 8 publications

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“…The products studied were apple, tomato, carrots, strawberries, capsicum, citrus, avocado, grape, feijoa fruits, and pears [100,101,105,107,112,116,[118][119][120][121][122][123][124][125][126][127][128][129][130][131][132][133][134][135][136][137]. The bulk of the studies used HMT models to describe the cooling process in a packaged material during storage [100,101,104,105,112,119,120,130,131,[137][138][139][140] . Seven studies applied MGS models to modify the atmospheric conditions of fresh agricultural produce in packaging material (Table 2) [118,121,[125][126][127]135].…”

Section: Application Of Mathematical Modeling Techniques In the Postharvest Supply Chain Of Fruits And Vegetablesmentioning

confidence: 99%

“…Heat and mass transfer modeling Transportation; storage; packaging To obtain more insight into the cooling process and quality evolution of fruits parked in ventilated cartons in a pallet Citrus Fruits packed in downstream cartons exhibited lower cooling heterogeneity compared with those in upstream cartons. Precooling reduced quality loss by 23% [133] With respect to storage, several researchers developed various models to predict quality loss during the storage of carrots, strawberries, spinach, apricots, peaches, capsicums, banana, cabbage, pears, citrus, and broccoli, however not all together (Table 2) [98,[102][103][104][105][106]116,118,119,121,122,124,126,133,[138][139][140][142][143][144]. A bulk of the models used were based on heat and mass transfer simulations of the weight loss, and temperature distribution; KRM for quality decay and shelf-life prediction (Table 2) [98,[104][105][106]112,119,133,[138][139][140]142,144].…”

Section: Cut Vegetablesmentioning

confidence: 99%

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Recent Advances in Reducing Food Losses in the Supply Chain of Fresh Agricultural Produce

et al. 2020

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Fruits and vegetables are highly nutritious agricultural produce with tremendous human health benefits. They are also highly perishable and as such are easily susceptible to spoilage, leading to a reduction in quality attributes and induced food loss. Cold chain technologies have over the years been employed to reduce the quality loss of fruits and vegetables from farm to fork. However, a high amount of losses (≈50%) still occur during the packaging, pre-cooling, transportation, and storage of these fresh agricultural produce. This study highlights the current state-of-the-art of various advanced tools employed to reducing the quality loss of fruits and vegetables during the packaging, storage, and transportation cold chain operations, including the application of imaging technology, spectroscopy, multi-sensors, electronic nose, radio frequency identification, printed sensors, acoustic impulse response, and mathematical models. It is shown that computer vision, hyperspectral imaging, multispectral imaging, spectroscopy, X-ray imaging, and mathematical models are well established in monitoring and optimizing process parameters that affect food quality attributes during cold chain operations. We also identified the Internet of Things (IoT) and virtual representation models of a particular fresh produce (digital twins) as emerging technologies that can help monitor and control the uncharted quality evolution during its postharvest life. These advances can help diagnose and take measures against potential problems affecting the quality of fresh produce in the supply chains. Plausible future pathways to further develop these emerging technologies and help in the significant reduction of food losses in the supply chain of fresh produce are discussed. Future research should be directed towards integrating IoT and digital twins for multiple shipments in order to intensify real-time monitoring of the cold chain environmental conditions, and the eventual optimization of the postharvest supply chains. This study gives promising insight towards the use of advanced technologies in reducing losses in the postharvest supply chain of fruits and vegetables.

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Section: Application Of Mathematical Modeling Techniques In the Postharvest Supply Chain Of Fruits And Vegetablesmentioning

confidence: 99%

Section: Cut Vegetablesmentioning

confidence: 99%

Recent Advances in Reducing Food Losses in the Supply Chain of Fresh Agricultural Produce

et al. 2020

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“…Due to the high cost and difficulty of food freezing experiments, most of the researches on food freezing process are based on numerical methods, in which CFD(computational Fluid Dynamics) method is used most widely [1][2][3][4][5]. The decoupling method is usually employed for the heat and mass transfer process simulation [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Effects of air supply operation on the distribution and spatial differences of airflow field in conditioned room: A CFD Study

et al. 2019

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In air-blast freezer, there are differences in food freezing process at different locations due to the non-uniform airflow distribution in freezing chamber. In this paper, a decoupling method was used to simulate freezing process of food products at different locations. Firstly, the internal airflow distribution model of the freezing chamber was established to simulate the airflow field in freezing chamber under different velocities of air supply. The mainstream air flow rate around each food product was then calculated as the ambient air velocity at which the food freezes. Then, a validated lumped parameter model was used to simulate the freezing process of individual food product, and the effects of freezing conditions on freezing process at different locations were studied. The results showed that there were large differences in the freezing conditions of foods at different locations in freezing chamber, which were mainly reflected by the difference in ambient air velocity. Compared to air velocity, air temperature was distributed rather uniformly in freezing chamber. With the increase of supply air velocity of air coolers, the ambient air velocity around food products in freezing chamber increased almost linearly.

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“…To describe the phenomena of mass, momentum and heat transfer, it is necessary to appropriately determine the properties of porous materials (Kolodziejczyk et al , 2016; Smierciew et al , 2018). One of the most important properties characterizing porous materials is the value of porosity and absolute permeability, which determines the transport possibilities in porous materials.…”

Section: Introductionmentioning

confidence: 99%

Permeability determination in tight rock sample using novel method based on partial slip modelling and X-ray tomography data

Madejski

Krakowska

Puskarczyk

et al. 2019

HFF

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Purpose The purpose of the paper was the application of computational fluid dynamics (CFD) techniques in fluid flow using Maxwell’s equation for partial slip modelling, estimating the flow parameters, and selecting tangential momentum accommodation coefficient (TMAC) for tight rock samples in permeability calculations. Design/methodology/approach The paper presents a numerical analysis of fluid flow in a low-porosity rock sample by using CFD. Modelling results allowed to determine mass flow rates in a rock sample and to calculate permeability values using a modified Darcy’s equation. Three-dimensional (3D) geometrical model of rock sample generated using computed X-ray tomography was used in the analysis. Steady-state calculations were carried out for defined boundary conditions in the form of pressure drop. The simulations were applied taking into account the slip phenomenon described by Maxwell’s slip model and TMAC. Findings Values of permeability were calculated for different values of TMAC, which vary from 0 to 1. Results in the form of gas mass flow rates were compared with the measured value of permeability for rock sample, which confirmed the high accuracy of the presented model. Practical implications Calculations of fluid flow in porous media using CFD can be used to determine rock samples’ permeability. In slip flow regime, Maxwell’s slip model can be applied and the empirical value of TMAC can be properly estimated. Originality/value This paper presents the usage of CFD, Maxwell’s equation for partial slip modelling, in fluid flow mechanism for tight rock samples. 3D geometric models were generated using created pre-processor (poROSE software) and applied in the raw form for simulation.

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Numerical Modelling of Heat and Mass Transfer in Vegetables Cold Storage

Cited by 17 publications

References 8 publications

Recent Advances in Reducing Food Losses in the Supply Chain of Fresh Agricultural Produce

Recent Advances in Reducing Food Losses in the Supply Chain of Fresh Agricultural Produce

Effects of air supply operation on the distribution and spatial differences of airflow field in conditioned room: A CFD Study

Permeability determination in tight rock sample using novel method based on partial slip modelling and X-ray tomography data

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