Theoretical estimation of the isobaric heat capacity cp of refrigerant

He, Maogang; Yang, Yo-Lun; Zhang, Y.; Zhang, X.X.

doi:10.1016/j.applthermaleng.2007.11.007

Cited by 14 publications

(3 citation statements)

References 34 publications

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“…Lemmon and Jacobsen [29,30] calculated the thermodynamic properties including specific heat capacity at constant pressure of various refrigerants and their mixtures based on Helmholtz free energy equation, but the coefficients of the equation were too many to be convenient to use. He et al [31] chose PR equation combined with van der Waals mixing rule and 81 M-H equation combined with constant mixing rule to establish a calculation model which can accurately predict the specific heat capacity at constant pressure of pure HFC227ea and pure HFC125.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the release process of the nitrogen-extinguishant binary mixture considering surface tension

Liu

Xie

Chen

et al. 2020

J Therm Anal Calorim

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Nitrogen used for pressurization in the extinguisher can be partially dissolved in the fire extinguishing agent. Consequently, the evolution of the dissolved nitrogen has a significant effect on the release behavior of the fire extinguishing agent in a rapid process. In this article, a new model was developed to predict the critical pressure of the nitrogen evolution and the release process of the fire extinguishing agent was described in detail. According to the Peng-Robinson (PR) equation of state and van der Waals mixing rule, the effect of the dissolved nitrogen on the surface tension of the fire extinguishant was analyzed by considering surface phase and fugacity coefficient. A method to calculate the surface tension of the liquid agent dissolved with nitrogen was proposed. The results showed that the proposed model can determine the accurate critical pressure of the evolution of the dissolved nitrogen and further evaluated whether nitrogen escapes. At different initial filling pressure, in addition, the release process of the nitrogen-extinguishant such as CF3I, FC218 (C3F8), HFC125 (C2HF5), and Halon1301 (CF3Br) was well predicted by the fluid release model when taking the surface tension and adiabatic index of the mixture into account. Compared with the previously obtained experimental data, the predictions obtained indicated that the present model can adequately describe the liquid and the gas mixture release stage in the release process of the nitrogenextinguishant.

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Section: Introductionmentioning

confidence: 99%

Prediction of the release process of the nitrogen-extinguishant binary mixture considering surface tension

Liu

Xie

Chen

et al. 2020

J Therm Anal Calorim

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“…The methods for determining heat capacities of liquids were reviewed by some authors. , Considering the importance of liquid heat capacity and complexity of it measurement, development of convenient and reliable theoretical methods to predict heat capacity of new compounds without experimentation is urgent and practical. Several investigators proposed empirical equations as a function of temperature and pressure for calculating liquid heat capacity. , Group contribution (GC) is another method that is commonly used for estimating the heat capacity of pure liquids in various temperatures. − Heat capacity is estimated on the basis of theory of equation of state and residual function method . Moreover, quantitative structure–property relationship (QSPR) models have been developed for prediction liquid heat capacity of pure compounds. − …”

Section: Introductionmentioning

confidence: 99%

“…9−11 Heat capacity is estimated on the basis of theory of equation of state and residual function method. 12 Moreover, quantitative structure−property relationship (QSPR) models have been developed for prediction liquid heat capacity of pure compounds. 13−17 The basic idea of QSPR is to find a relationship between the structure of molecules and their physicochemical properties.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Structure–Property Relationship Prediction of Liquid Heat Capacity at 298.15 K for Organic Compounds

Khajeh

Modarress

2012

Ind. Eng. Chem. Res.

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Novel QSPR models were developed and evaluated for the prediction of heat capacity of liquids at 298.15 K with only three descriptors. Two linear and nonlinear models were produced using genetic function approximation (GFA) and adaptive neurofuzzy inference system (ANFIS) methods based on a data set of 706 compounds with a wide variety of functional groups. The results showed that both GFA and ANFIS methods could model the relationship between the liquid heat capacity of organic compounds and their structures with high accuracy. The predictive quality of the QSPR models were tested for an external test set, where the squared correlation coefficients of prediction for the GFA and ANFIS methods were 0.970 and 0.973, respectively.

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Mass transfer modeling and sensitivity study of low-temperature Fischer-Tropsch synthesis

Øyen

Jakobsen

Haug–Warberg

et al. 2022

Chemical Engineering Science

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Theoretical estimation of the isobaric heat capacity cp of refrigerant

Cited by 14 publications

References 34 publications

Prediction of the release process of the nitrogen-extinguishant binary mixture considering surface tension

Prediction of the release process of the nitrogen-extinguishant binary mixture considering surface tension

Quantitative Structure–Property Relationship Prediction of Liquid Heat Capacity at 298.15 K for Organic Compounds

Mass transfer modeling and sensitivity study of low-temperature Fischer-Tropsch synthesis

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