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Refrigerant Performance Evaluation Including Effects of Transport Properties and Optimized Heat Exchangers

Published

Author(s)

Riccardo Brignoli, J S. Brown, Harrison Skye, Piotr A. Domanski

Abstract

The prevalent practice for preliminary refrigerant screening relies on using cycle simulation models involving thermodynamic properties alone. This approach has two shortcomings. First, it neglects transport properties, whose influence on system performance is particularly strong through their impact on the performance of the heat exchangers. Second, the refrigerant temperatures in the evaporator and condenser are specified as input, while real-life equipment operates at imposed heat sink and heat source temperatures; the temperatures in the evaporator and condensers are established based on overall heat transfer resistances of these heat exchangers and the balance of the system. The paper discusses a simulation methodology and model that addresses the above shortcomings. This model simulates the thermodynamic cycle operating at specified heat sink and heat source temperature profiles, and includes the ability to account for the effects of thermophysical properties and refrigerant mass flux on refrigerant heat transfer and pressure drop in the evaporator and condenser. Additionally, the model can optimize the refrigerant mass flux in the heat exchangers to maximize the Coefficient of Performance. The new model is validated with experimental data and its predictions are contrasted to those of a model based on thermodynamic properties alone.
Citation
International Journal of Refrigeration-Revue Internationale Du Froid

Keywords

air conditioning, coefficient of performance, refrigerant, vapor compression cycle

Citation

Brignoli, R. , Brown, J. , Skye, H. and Domanski, P. (2017), Refrigerant Performance Evaluation Including Effects of Transport Properties and Optimized Heat Exchangers, International Journal of Refrigeration-Revue Internationale Du Froid, [online], https://doi.org/10.1016/j.ijrefrig.2017.05.014, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=921184 (Accessed November 26, 2022)
Created May 18, 2017, Updated October 12, 2021