化工学报

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变阱宽方阱链流体状态方程预测制冷剂的热力学性质

贾玉倩(), 李佳书, 孙逸, 刘英杰, 叶青, 李进龙()   

  1. 常州大学石油化工学院,江苏 常州 213164
  • 收稿日期:2025-08-18 修回日期:2025-11-04 出版日期:2025-11-05
  • 通讯作者: 李进龙
  • 作者简介:贾玉倩(1999—),女,硕士,jia30807@qq.com
  • 基金资助:
    国家自然科学基金项目(22078026);国家自然科学基金项目(22178030);国家自然科学基金项目(21878025)

Predicting thermodynamic properties of refrigerants using an equation of state for square-well chain fluid with variable range

Yuqian JIA(), Jiashu LI, Yi SUN, Yingjie LIU, Qing YE, Jinlong LI()   

  1. School of Petrochemical Engineering, Changzhou University, Changzhou 213164, Jiangsu, China
  • Received:2025-08-18 Revised:2025-11-04 Online:2025-11-05
  • Contact: Jinlong LI

摘要:

借助基于二阶微扰理论和PY2近似积分方程建立的变阱宽方阱链流体状态方程(SWCF-VR)和先前获得的18种制冷剂分子参数,预测了纯制冷剂及其二元混合物在饱和相区的热容、焦汤系数、声速等热力学性质,并比较了原始SAFT-VR(SW)、PC-SAFT等模型预测效果。结果表明,SWCF-VR模型可满意预测纯制冷剂的上述各热力学性质,但受二阶导数精度影响,对热容预测偏差较大。和同类模型相比,SWCF-VR在多数热力学性质的预测性能要优于SAFT-VR和PC-SAFT。对二元混合物,引入基于汽液平衡实验数据获得的二元交互参数后,可显著改善模型预测性能。本文结果将为制冷剂的设计、复配及制冷过程设计优化提供参考。

关键词: 状态方程, 热力学性质, 制冷剂, 相平衡

Abstract:

Thermodynamic properties such as heat capacity, Joule-Thomson coefficient, and speed of sound of pure refrigerants and binary mixtures in the saturated phase region were predicted using the equation of state for square-well chain fluid with variable range (SWCF-VR), which was established based on the second-order perturbation theory and Chiew's PY2 approximate integral equations and the molecular parameters of the 18 refrigerants previously obtained. The prediction results of the original SAFT-VR(SW), PC-SAFT and other models were also compared. The results show that the SWCF-VR model can satisfactorily predict the above thermodynamic properties of pure refrigerants, though deviations in heat capacity are relatively large due to the accuracy limitations of second-order derivatives. Compared with similar models, the SWCF-VR model demonstrates superior predictive accuracy for most thermodynamic properties over SAFT-VR and PC-SAFT. For binary mixtures, the introduction of binary interaction parameters obtained from vapor-liquid equilibrium (VLE) experimental data can significantly improve the predictive performance of the model. The findings of this study will provide valuable insights for the design and blending of refrigerants, as well as the optimization of refrigeration process design.

Key words: equation of state, thermodynamic properties, refrigerant, phase equilibria

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