THERMAL SCIENCE

International Scientific Journal

OPTIMIZATION OF PROCESS PARAMETERS OF REFRIGERATION PROCESS FOR A REFRIGERANT MIXTURE

ABSTRACT
This study optimizes refrigeration process parameters for a new refrigerant mixture. Grey relational analysis has been used to find the best process parameters that lead to a higher COP and lower compressor discharge temperature, lower compressor power, and lower mass-flow rate. A mixture of R152a-R290-R600- R600a is proposed as a refrigerant. The predicted results have been checked with confirmation tests. The results of the confirmation test are the same as the results that were predicted.
KEYWORDS
PAPER SUBMITTED: 2022-10-05
PAPER REVISED: 2023-07-01
PAPER ACCEPTED: 2023-08-25
PUBLISHED ONLINE: 2023-10-08
DOI REFERENCE: https://doi.org/10.2298/TSCI221005220K
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 6, PAGES [4779 - 4787]
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© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence