Discrete excess gibbs-energy modeling approach based on clusters of molecules

Christoph Mayer*, Thomas Wallek

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

This paper presents a discrete modeling approach that is based on clusters of molecules. The aim of the approach is to provide the excess Gibbs function (gE) resp. activity coefficients of condensed phase mixtures, in particular, liquids. The modeling approach uses the probabilities of the discrete states of molecular clusters as its main variables. The clusters consist of four molecules. The compounds are modeled as dice-like molecules, giving them the option of having one to six different energetic interaction sites. A molecular sampling algorithm links the abstract dice-like representations to real molecules. The model results are compared to experimental data for mixtures of butanal + n-heptane, acetone + n-heptane, and acetone + methanol. The comparison shows that the deviations of this approach are similar to those of the well-known UNIFAC model, which indicates the approach as a promising alternative for the development of gE models.

Original languageEnglish
Pages (from-to)1279-1284
Number of pages6
JournalChemical Engineering Transactions
Volume86
DOIs
Publication statusPublished - 2021

ASJC Scopus subject areas

  • Chemical Engineering(all)

Fingerprint

Dive into the research topics of 'Discrete excess gibbs-energy modeling approach based on clusters of molecules'. Together they form a unique fingerprint.

Cite this