Measurement of critical properties for the binary mixture of R744 (carbon dioxide) + R1234ze(E) (trans-1,3,3,3-tetrafluoropropene)

Yao, Xiaoyu; Shen, Jun; Kang, HuiFang; Tang, Bo; Liu, Zhenxing; Li, Jian; Dong, Xueqiang; Gong, Maoqiong

doi:10.1016/j.ijrefrig.2023.04.013

Cited by 5 publications

(1 citation statement)

References 31 publications

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“…Empirically, the critical locus of mixtures composed of similar substances is more ideal, with straight lines between critical points of the pure substances, such as the n -heptane + cyclohexane system and hexane + octane system. Otherwise, the critical locus tends to be nonideal, and some systems exist with the maximum critical pressure, such as the CO 2 + several hydrofluoroolefins system ,, and n -hexane + alcohol system. Although the ratio is not necessarily unique and may be similar or the same for different mixtures, it can also be used as an influential factor in predicting critical parameters.…”

Section: Development Of New Methodsmentioning

confidence: 99%

A New Fast Estimation Method for Critical Pressure and Critical Temperature of Binary Mixture Based on the Modified Redlich–Kister Method

Tang,

Yao,

Dong

et al. 2024

Ind. Eng. Chem. Res.

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The vapor–liquid critical parameters of mixtures are important in the establishment of equations of state and mixing rules to predict thermophysical properties and develop next-generation, low-carbon working fluids. Obtaining critical parameters through experimental measurement is the most efficient and straightforward approach but it is a time-consuming and labor-intensive process, thus necessitating the use of theoretical prediction methods. There is currently no prediction model that can attain the same level of precision as experimental measurements, and the existing models are not easily accessible. In this paper, the nonideal effect of the acentric factor of the mixture and the median deviation term of the critical parameters are introduced into the Redlich–Kister model. The newly developed model surpasses current fast estimation methods in terms of its accurate predictions, minimal adjustable factors, lack of a requirement for critical volume data of pure substances, and consideration of molecular polarity. This new fast estimation model can be applied to hundreds of binary combinations consisting of methane-free alkanes, alkenes, alkynes, alicyclic hydrocarbons, benzene and its derivatives, NH3, CO2, halogenated hydrocarbons, N2O, Kr, Xe, sulfur compounds, and oxygen-containing organic compounds. The absolute average relative deviation (AARD) of this method in calculating the critical temperature and critical pressure of binary mixtures is 1.21% and 4.22%, based on 4116 critical temperature experimental data points (521 groups of binary mixtures) and 2882 critical pressure experimental data points (342 groups of binary mixtures), respectively.

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