A novel quantitative structure–property relationship model for predicting the maximum volumetric heating capacity and the corresponding working temperature of heat pump refrigerants

• A QSPR model was developed to predict the cyclic properties of refrigerants. • Using COSMO-RS theory to parameterize the molecular structure of the refrigerants. • The maximum volumetric heating capacity and corresponding temperature are predicted. • The model provides new methods for designing refrigerants with better performance. This paper presents a structure–property relationship model between the microstructure and macroscopic cyclic characteristics of heat pump working fluids. The model is established based on the molecular surface charge density distribution function “ σ -profile” proposed by the COSMO-RS theory to describe the molecular structure information. The σ -profile curves were parameterized by Gaussian function fitting, and new molecular descriptors expressing the type and quantities of molecular groups were proposed. These molecular descriptors were used to characterize the thermophysical properties of the working fluids through stepwise multiple linear regression. Based on the molecular structure, a QSPR model expression is established to predict the maximum volumetric heating capacity and the corresponding temperature. The average absolute relative deviation (AARD) of the predictions was 9.35% and 7.34%, respectively. The proposed model provides a way to design a new type of working fluid with better cyclic characteristics.

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Publication Details

Journal
Chemical Engineering Science
Published
2025-04-18
DOI
https://doi.org/10.1016/j.ces.2025.121703
Citations
1
Primary Topic
Refrigeration and Air Conditioning Technologies
Type
article
Field-Weighted Citation Impact
0.71

Funders

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article

A novel quantitative structure–property relationship model for predicting the maximum volumetric heating capacity and the corresponding working temperature of heat pump refrigerants

Baolian Niu, Na Deng, Yuhang Wu, Quanzhi Zuo et al.
1 citations
Chemical Engineering Science
Refrigeration and Air Conditioning Technologies
0.71
article

A novel quantitative structure–property relationship model for predicting the maximum volumetric heating capacity and the corresponding working temperature of heat pump refrigerants

Baolian Niu, Na Deng, Yuhang Wu, Quanzhi Zuo, Hanchi Xu
article en
1 citations

Abstract

• A QSPR model was developed to predict the cyclic properties of refrigerants. • Using COSMO-RS theory to parameterize the molecular structure of the refrigerants. • The maximum volumetric heating capacity and corresponding temperature are predicted. • The model provides new methods for designing refrigerants with better performance. This paper presents a structure–property relationship model between the microstructure and macroscopic cyclic characteristics of heat pump working fluids. The model is established based on the molecular surface charge density distribution function “ σ -profile” proposed by the COSMO-RS theory to describe the molecular structure information. The σ -profile curves were parameterized by Gaussian function fitting, and new molecular descriptors expressing the type and quantities of molecular groups were proposed. These molecular descriptors were used to characterize the thermophysical properties of the working fluids through stepwise multiple linear regression. Based on the molecular structure, a QSPR model expression is established to predict the maximum volumetric heating capacity and the corresponding temperature. The average absolute relative deviation (AARD) of the predictions was 9.35% and 7.34%, respectively. The proposed model provides a way to design a new type of working fluid with better cyclic characteristics.

Chemical Engineering ScienceVol. 312
Nanjing Normal University (CN), Tianjin University (CN)
Natural Science Foundation of Tianjin City
Affordable and clean energy
Openalex Percentile: Top 34%
Refrigeration and Air Conditioning Technologies
0.71
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