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
THERMAL SCIENCE YEAR
2023, VOLUME
27, ISSUE
Issue 6, PAGES [4779 - 4787]
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