A novel numerical methodology for modelling simple vapour compression refrigeration system

Zsembinszki, Gabriel; Gracia Cuesta, Alvaro de; Moreno Argilés, Pere; Rovira, Ricard; González, Miguel Ángel; Cabeza, Luisa F.

doi:https://doi.org/10.1016/j.applthermaleng.2016.12.059

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2017

Author

Zsembinszki, Gabriel

Gracia Cuesta, Alvaro de

Moreno Argilés, Pere

Rovira, Ricard

González, Miguel Ángel

Cabeza, Luisa F.

Suggested citation

Zsembinszki, Gabriel; Gracia Cuesta, Alvaro de; Moreno Argilés, Pere; Rovira, Ricard; González, Miguel Ángel; Cabeza, Luisa F.; . (2017) . A novel numerical methodology for modelling simple vapour compression refrigeration system. Applied Thermal Engineering, 2017, vol. 115, p. 188–200. https://doi.org/10.1016/j.applthermaleng.2016.12.059.

Abstract

The extended use of cooling and refrigeration systems in industrial, building and transport sectors may have a negative impact on the climate change and ozone depletion. Thus, important aspects related to these systems, such as refrigerant charge level, malfunction, or refrigerant leakage, must be taken

into account. In this sense, the study of refrigeration system performance under different conditions can be very useful. In this paper, a novel methodology for modelling a simple compression refrigeration system is described. Starting from three input parameters, i.e. the ambient air temperature, the cold room air temperature, and the degree of superheating, a calculation algorithm based on iterative loops is used in the model to determine the operating point of the system. An experimental set-up consisting of a walk-in freezer unit was used for the development and validation of the model. The model is system dependent, i.e. empirical correlations must be derived for determining some of the features of system components. The numerical results are in good agreement with the experiment, therefore the model can be a reliable tool for the detection of a system malfunction.

URI

http://hdl.handle.net/10459.1/58920

DOI

https://doi.org/10.1016/j.applthermaleng.2016.12.059

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Applied Thermal Engineering, 2017, vol. 115, p. 188–200

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Except where otherwise noted, this item's license is described as cc-by-nc-nd, (c) Elsevier, 2017