Modeling of CO2 solubility in single and mixed electrolyte solutions using statistical associating fluid theory

Hao Jiang, Athanassios Z. Panagiotopoulos, Ioannis G. Economou

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

Statistical associating fluid theory (SAFT) is used to model CO2 solubilities in single and mixed electrolyte solutions. The proposed SAFT model implements an improved mean spherical approximation in the primitive model to represent the electrostatic interactions between ions, using a parameter K to correct the excess energies ("KMSA" for short). With the KMSA formalism, the proposed model is able to describe accurately mean ionic activity coefficients and liquid densities of electrolyte solutions including Na+, K+, Ca2+, Mg2+, Cl-, Br- and SO42- from 298.15K to 473.15K using mostly temperature independent parameters, with sole exception being the volume of anions. CO2 is modeled as a non-associating molecule, and temperature-dependent CO2-H2O and CO2-ion cross interactions are used to obtain CO2 solubilities in H2O and in single ion electrolyte solutions. Without any additional fitting parameters, CO2 solubilities in mixed electrolyte solutions and synthetic brines are predicted, in good agreement with experimental measurements.

Original languageEnglish (US)
Pages (from-to)185-197
Number of pages13
JournalGeochimica et Cosmochimica Acta
Volume176
DOIs
StatePublished - Mar 1 2016

All Science Journal Classification (ASJC) codes

  • Geochemistry and Petrology

Fingerprint Dive into the research topics of 'Modeling of CO<sub>2</sub> solubility in single and mixed electrolyte solutions using statistical associating fluid theory'. Together they form a unique fingerprint.

  • Cite this