How to predict product temperature changes during transport in an insulated box equipped with an ice pack: Experimental versus 1-D and 3-D modelling approaches

•1-D and 3-D models were developed to predict product temperature changes in insulated boxes.•1-D model underestimated product temperature compared with experimental values.•3-D gives better prediction.•Correction factor was proposed in 1-D model to improve prediction precision.•1-D model can be eas...

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Bibliographic Details
Published inInternational journal of refrigeration Vol. 100; pp. 196 - 207
Main Authors Laguerre, O., Chaomuang, N., Derens, E., Flick, D.
Format Journal Article
LanguageEnglish
Published Paris Elsevier Ltd 01.04.2019
Elsevier Science Ltd
Elsevier
Subjects
Ambient temperature
Boxes
Caisse isotherme
Environmental Sciences
Fish
Food quality
Heat transfer
Insulated box
Insulation
One dimensional models
Poisson
Temperature
Température
Three dimensional models
Transport
Temperature
Poisson
Température
Fish
Caisse isotherme
Transport
Insulated box
INSULATED BOX
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Summary:•1-D and 3-D models were developed to predict product temperature changes in insulated boxes.•1-D model underestimated product temperature compared with experimental values.•3-D gives better prediction.•Correction factor was proposed in 1-D model to improve prediction precision.•1-D model can be easily used by stakeholder. An experiment was carried out to monitor food temperature changes with time in two insulated boxes equipped with an ice pack. The first experiment was carried out in a test room under well controlled ambient temperature and with a box of reinforce lateral insulation. The second experiment was in real use condition and with 2 different boxes. Two models were developed to predict product temperature changes until the ice is completely melted: an analytical 1-D and a 3-D model. The 1D model predictions are in good agreement for the first experiment. But in real use condition, the 1D model underestimates the temperature evolution, while the 3-D model gives better prediction. A comparison of the advantages and disadvantages of these two models was performed. The 1-D approach enables prediction of the main parameters (warmest temperature, ice melting time). A correction factor was proposed to improve the prediction precision using the 1-D model.
ISSN:0140-7007
1879-2081
DOI:10.1016/j.ijrefrig.2018.12.022