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• W4383868180 abstract "Auto-cascade refrigeration systems are the most used cycles to maintain spaces at ultra-low temperature conditions (-80 to -60°C). The interest in these systems has risen due to the need to maintain and distribute COVID-19 vaccines. However, there is a lack of experimental validation of the theoretical models that are used to analyse and optimize them. In this work, a novel method to calculate the thermodynamic performance, circulating compositions, and energy efficiency of an auto-cascade refrigeration system is presented. The method is based on the measurements of an experimental auto-cascade plant at temperatures from -83.0 to -59.9°C. The results of the study showed that the proposed calculation method was able to accurately predict the thermodynamic performance, circulating compositions and energy efficiency of an auto-cascade system. The uncertainty of the predictions was found to be below 1% for circulating compositions and 5.2% for the cooling capacity and COP." @default.
• W4383868180 created "2023-07-12" @default.
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• W4383868180 date "2023-10-01" @default.
• W4383868180 modified "2023-10-06" @default.
• W4383868180 title "A novel method to measure the energy efficiency and performance of an auto-cascade refrigeration cycle" @default.
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• W4383868180 doi "https://doi.org/10.1016/j.applthermaleng.2023.121146" @default.
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