Experimental study of refrigerator truck cold box for a constant temperature of 10oC based on variations in condenser dimensions

article cite 0 Year 2023
source: Zenodo (CERN European Organization for Nuclear Research)
Abstract

Transportation equipment equipped with a cooler box is needed for food delivery to keep the product fresh until it reaches its destination. Evaluation is carried out to determine the cooling temperature performance through testing using variations in condenser dimensions. The test was carried out to achieve a cold temperature in the cooler box of 10<sup>o</sup>C. The condenser used includes three variations, namely the 1st dimension is (P 23 x H 14) inch<sup>2</sup> x 19 mm, the 2nd dimension is (P 23 x H 14) inch<sup>2</sup> x 26 mm, and the 3rd dimension is (P 23 x H 14 ) inch<sup>2</sup> x 44 mm. The test gives the result that the condenser in dimension-3 gives time to cool down at a temperature of 10<sup>o</sup>C faster than the condenser in dimensions-2 and 1. The condenser in dimension-1 can produce a cold time of 660 seconds, while the condenser for dimensions-2 and 1 is 960 seconds and 1320 seconds respectively. In addition, the lowest compression work occurs in the condenser with the 3rd dimension of 33.408 kJ/kg when compared to the 1st and 2nd dimensions of 38.984 kJ/kg and 35.923 kJ/kg. The smaller the dimensions of the condenser have an impact on the higher the compressor outlet pressure. This condition has an influence on the coefficient of performance (COP) in the refrigeration system, namely the condenser with dimension-3 gives the highest COP of 4.622 compared to dimensions-1 and 2, respectively 3.531 and 4.081. It was found in this study that the condenser at the largest dimension produces the most optimum performance, that is, an efficient refrigeration system has low compression power and high COP.


Concepts :
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
Refrigeration and Air Conditioning Technologies
Adsorption and Cooling Systems
article cite 0 Year 2023 source Zenodo (CERN European Organization for Nuclear Research)
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