Literature DB >> 16771416

Prediction of thermodynamic derivative properties of pure fluids through the Soft-SAFT equation of state.

Fèlix Llovell1, Lourdes F Vega.   

Abstract

We present in this work the application of the soft-SAFT equation of state (EoS) to the calculation of some main derivative properties, including heat capacities, reduced bulk modulus, Joule-Thomson coefficient, and speed of sound. Calculations have been performed analytically through the derivation of a primary thermodynamic potential function. The application to the n-alkanes, n-alkenes, and 1-alkanols families has been done in a semipredictive manner, with the molecular parameters of the equation obtained from previous fitting to vapor-liquid equilibrium data of the same compounds. The equation is able to capture the typical extrema isothermal derivative properties exhibit with respect to density, providing quantitative agreement with experimental (or correlation) data in some cases. Results in the vicinity of the critical point are improved by adding a crossover treatment to take into account the long-range fluctuations present in this region. By taking advantage of the molecular nature of the equation, we have been able to separate and quantify the different contributions (reference fluid, chain, and association) to the total derivative properties. The association plays a predominant role in energetic properties, such as the heat capacities, while there is a competition between association and chain length as the chain length of the compound increases for volumetric properties, such as the isothermal compressibility. These results act in favor of the molecular-based equations, like soft-SAFT, as predictive tools for several applications.

Entities:  

Year:  2006        PMID: 16771416     DOI: 10.1021/jp0608022

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  2 in total

1.  Searching for Sustainable Refrigerants by Bridging Molecular Modeling with Machine Learning.

Authors:  Ismail I I Alkhatib; Carlos G Albà; Ahmad S Darwish; Fèlix Llovell; Lourdes F Vega
Journal:  Ind Eng Chem Res       Date:  2022-05-18       Impact factor: 4.326

2.  Assessment of Low Global Warming Potential Refrigerants for Drop-In Replacement by Connecting their Molecular Features to Their Performance.

Authors:  Carlos G Albà; Ismail I I Alkhatib; Fèlix Llovell; Lourdes F Vega
Journal:  ACS Sustain Chem Eng       Date:  2021-12-07       Impact factor: 8.198

  2 in total

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