2008
DOI: 10.1016/j.ijrefrig.2008.03.001
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Refrigerating machine operating characteristics under various mixed refrigerant mass charges

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Cited by 29 publications
(8 citation statements)
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“…This assumption was rather oversimplified but the only possible one under the given conditions. There was reported (Rozhentsev, 2008) that the charging and circulating compositions of non-azeotropic working mixtures could be in close agreement in MR refrigerating machines charged with a working mixture thoroughly optimized by composition and mass. As it was already mentioned above, the MR system under investigation was charging with the working mixtures optimized by mass.…”
Section: Resultsmentioning
confidence: 92%
“…This assumption was rather oversimplified but the only possible one under the given conditions. There was reported (Rozhentsev, 2008) that the charging and circulating compositions of non-azeotropic working mixtures could be in close agreement in MR refrigerating machines charged with a working mixture thoroughly optimized by composition and mass. As it was already mentioned above, the MR system under investigation was charging with the working mixtures optimized by mass.…”
Section: Resultsmentioning
confidence: 92%
“…The CO 2 system showed higher performance sensitivity to refrigerant charge than that other compared systems. Rozhentsev [11] investigated a low-temperature Joule-Thomson refrigerating machine, using a nonazeotropic mixture of refrigerants. The machine was equipped with a single-stage hermetic compressor, operated at the temperature level of -75°C and was charged with the working non-azeotropic mixture which comprised of two components with considerably different thermodynamic properties.…”
Section: Sensitivity Of Refrigerating System Performance To Charge Lementioning
confidence: 99%
“…It is essential that the optimal mass charge is known in order to determine the best monitoring and maintenance procedure. Rozhentsev (2008) has proposed a computational model for determining the correct charge.…”
Section: Condition Monitoring Technologiesmentioning
confidence: 99%