Prediction of binary azeotropes of refrigerant systems through <scp>COSMO</scp> ‐based models

Abstract Current azeotropic refrigerant R410A has the disadvantage of a high GWP. Thus, a reliable predictive model is necessary to be developed for screening of the alternative refrigerant mixtures with low boiling point. In this work, a database of binary refrigerant azeotropic mixtures is identified by experiments and used to verify the feasibility of using COSMO‐based models to predict the VLE of binary refrigerant mixtures. It contains 1766 compounds, out of which 306 are known as refrigerants. Sixty‐nine binary systems are then selected after excluding the systems containing water and those with incomplete and azeotropic temperatures exceeding 325 K. The COSMO‐based models were tested and found to predict the azeotropic points qualitatively for the binary refrigerant systems. Thus, all the VLE data of binary refrigerant systems in the database can be predicted through the combination of COSMO‐SAC and COSMO‐RS models. Next, three binary azeotropic refrigerant mixtures that could be a potential replacement for R410A were identified and their performance verified through simulation of the refrigeration process.

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Publication Details

Journal
AIChE Journal
Published
2026-01-19
DOI
https://doi.org/10.1002/aic.70232
Primary Topic
Refrigeration and Air Conditioning Technologies
Type
article
Field-Weighted Citation Impact
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article

Prediction of binary azeotropes of refrigerant systems through COSMO ‐based models

Xi Liu, Rafiqul Gani, Peilin Cao, Yuqiu Chen et al.
AIChE Journal
Refrigeration and Air Conditioning Technologies
article

Prediction of binary azeotropes of refrigerant systems through COSMO ‐based models

Xi Liu, Rafiqul Gani, Peilin Cao, Yuqiu Chen, Zhen Song, Yiqiang Guan
article en

Abstract

Abstract Current azeotropic refrigerant R410A has the disadvantage of a high GWP. Thus, a reliable predictive model is necessary to be developed for screening of the alternative refrigerant mixtures with low boiling point. In this work, a database of binary refrigerant azeotropic mixtures is identified by experiments and used to verify the feasibility of using COSMO‐based models to predict the VLE of binary refrigerant mixtures. It contains 1766 compounds, out of which 306 are known as refrigerants. Sixty‐nine binary systems are then selected after excluding the systems containing water and those with incomplete and azeotropic temperatures exceeding 325 K. The COSMO‐based models were tested and found to predict the azeotropic points qualitatively for the binary refrigerant systems. Thus, all the VLE data of binary refrigerant systems in the database can be predicted through the combination of COSMO‐SAC and COSMO‐RS models. Next, three binary azeotropic refrigerant mixtures that could be a potential replacement for R410A were identified and their performance verified through simulation of the refrigeration process.

AIChE JournalVol. 72(4)
East China University of Science and Technology (CN), China University of Petroleum, Beijing (CN), Danish Centre for Marine Research (DK), State Key Laboratory of Chemical Engineering (CN), Wuhan University of Science and Technology (CN), Széchenyi István University (HU)
Clean water and sanitation
Openalex Percentile: Top 84%
Refrigeration and Air Conditioning Technologies
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Prediction of binary azeotropes of refrigerant systems through <scp>COSMO</scp> ‐based models — Xi Liu, Rafiqul Gani, et al. · AIChE Journal (2026) | TGRS Research Map | TGRS