R22, the HCFC most widely used in refrigeration and air-conditioning systems in the last years, is phas- ing-out. R422D, a zero ozone-depleting mixture of R125, R134a and R600a (65.1%/31.5%/3.4% by weight, respectively), has been recently proposed as a drop-in substitute. For energy consumption calculations and temperature control, it is of primary importance to estimate operating conditions after substitution. To determine pressure drop in the evaporator and piping line to the compressor, in this paper the exper- imental adiabatic pressure gradients during flow boiling of R422D are reported for a circular smooth hor- izontal tube (3.00 mm inner radius) in a range of operating conditions of interest for dry-expansion evaporators. The data are used to establish the best predictive method for calculations and its accuracy: the Moreno- Quibèn and Thome method provided the best predictions for the whole database and also for the segre- gated data in the annular flow regime. Finally, the experimental data have been compared with the adiabatic pressure gradients of both R22 and its much used alternative R407C available in the literature.

EXPERIMENTS DURING FLOW BOILING OF A R22 DROP-IN: R422D ADIABATIC PRESSURE GRADIENTS

VANOLI, GIUSEPPE PETER
2009-01-01

Abstract

R22, the HCFC most widely used in refrigeration and air-conditioning systems in the last years, is phas- ing-out. R422D, a zero ozone-depleting mixture of R125, R134a and R600a (65.1%/31.5%/3.4% by weight, respectively), has been recently proposed as a drop-in substitute. For energy consumption calculations and temperature control, it is of primary importance to estimate operating conditions after substitution. To determine pressure drop in the evaporator and piping line to the compressor, in this paper the exper- imental adiabatic pressure gradients during flow boiling of R422D are reported for a circular smooth hor- izontal tube (3.00 mm inner radius) in a range of operating conditions of interest for dry-expansion evaporators. The data are used to establish the best predictive method for calculations and its accuracy: the Moreno- Quibèn and Thome method provided the best predictions for the whole database and also for the segre- gated data in the annular flow regime. Finally, the experimental data have been compared with the adiabatic pressure gradients of both R22 and its much used alternative R407C available in the literature.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11695/62025
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