Losses of stored fruits and vegetables may occur mainly due to non-uniformity of theenvironmental conditions. Cooling air flow pattern in the cold storage chamber strongly depends onthe turbulence model applied. In modelling of mechanical ventilation standard k-ε model turbulencemodels is used routinely because of good convergence. However, this model is not able to predictthe flow rate of the air stream and is unable to reproduce the Coanda effect. In the paper theresults of numerical modelling of processes in cold storage chamber for vegetables are presented.The RANS turbulence models have been tested to determine the most appropriate ones for thestudied configuration. The highest difference of measured and computed temperature in the bulk ofvegetables is 0.40 K regardless of the turbulence model. Relative humidity difference variesbetween 4 and 13%. Tested turbulence models led to overprediction of air temperature andvelocity, however the SST k-ω model gives the best results.
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