Thermodynamic analysis and performance optimization on an ultra‐low‐temperature cascade refrigeration system using refrigerants R290 and R170

Abstract To meet the strict requirement on whole chain of vaccine production, storage, transportation, and distribution, most researches have been done on cascade refrigeration systems to achieve high operation performance, while a research gap on the performance exploration of eco‐friendly refrigeration systems still exists. In this paper, a comprehensive thermodynamic model was established to analyze the operation performance of a pre‐cooled cascade refrigeration system with eco‐friendly refrigerants propane (R290) and ethane (R170). Based on the present thermodynamic model, the performance optimization on the R290‐R170 cascade refrigerator was made with considerations of degree of subcooling, degree of superheat, evaporation temperature, condensation temperature, cascade condensation temperature, and cascade temperature difference. Variations of the coefficient of performance, exergy destruction, and total exergy efficiency of the refrigeration cycle were analyzed. Two mathematical correlations yielding the optimal cascade condensation temperature and maximized coefficient of performance were developed by multilinear regression analysis. When the evaporation temperature is − 60°C, the maximized coefficient of performance and total exergy efficiency are 1.276 and 49.51%. This paper demonstrates the potential for improving the R290‐R170 cascade refrigeration system and furnishes the basis for further exploration on ultra‐low‐temperature refrigerators.

Authors

Institutions

Publication Details

Journal
Asia-Pacific Journal of Chemical Engineering
Published
2024-11-10
DOI
https://doi.org/10.1002/apj.3179
Citations
8
Primary Topic
Refrigeration and Air Conditioning Technologies
Type
article
Field-Weighted Citation Impact
1.70

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermodynamic analysis and performance optimization on an ultra‐low‐temperature cascade refrigeration system using refrigerants R290 and R170

Zhan Liu, Tao Wang, Jiafeng Li, Shenrui Ji
8 citations
Asia-Pacific Journal of Chemical Engineering
Refrigeration and Air Conditioning Technologies
1.70
article

Thermodynamic analysis and performance optimization on an ultra‐low‐temperature cascade refrigeration system using refrigerants R290 and R170

Zhan Liu, Tao Wang, Jiafeng Li, Shenrui Ji
article en
8 citations

Abstract

Abstract To meet the strict requirement on whole chain of vaccine production, storage, transportation, and distribution, most researches have been done on cascade refrigeration systems to achieve high operation performance, while a research gap on the performance exploration of eco‐friendly refrigeration systems still exists. In this paper, a comprehensive thermodynamic model was established to analyze the operation performance of a pre‐cooled cascade refrigeration system with eco‐friendly refrigerants propane (R290) and ethane (R170). Based on the present thermodynamic model, the performance optimization on the R290‐R170 cascade refrigerator was made with considerations of degree of subcooling, degree of superheat, evaporation temperature, condensation temperature, cascade condensation temperature, and cascade temperature difference. Variations of the coefficient of performance, exergy destruction, and total exergy efficiency of the refrigeration cycle were analyzed. Two mathematical correlations yielding the optimal cascade condensation temperature and maximized coefficient of performance were developed by multilinear regression analysis. When the evaporation temperature is − 60°C, the maximized coefficient of performance and total exergy efficiency are 1.276 and 49.51%. This paper demonstrates the potential for improving the R290‐R170 cascade refrigeration system and furnishes the basis for further exploration on ultra‐low‐temperature refrigerators.

Asia-Pacific Journal of Chemical EngineeringVol. 20(2)
Zhengzhou University of Light Industry (CN), China University of Mining and Technology (CN), Anhui Water Conservancy and Hydropower Survey and Design Institute (CN)
China Postdoctoral Science Foundation
Affordable and clean energy
Openalex Percentile: Top 17%
Refrigeration and Air Conditioning Technologies
1.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.