in Wiley InterScience (www.interscience.wiley.com).The influence of simplifying assumptions of the electrolyte-nonrandom two-liquid (NRTL) model in the derivation of activity coefficient expressions as applied to multi-electrolyte systems is critically examined. A rigorous and thermodynamically consistent formulation for the activity coefficients is developed, in which the simplifying assumption of holding ionic-charge fraction quantities constant in the derivation of activity coefficient expressions is removed. The refined activity coefficient formulation possesses stronger theoretical properties and practical superiority that is demonstrated through a case study representing the thermodynamic properties and speciation of dilute to concentrated aqueous sulfuric acid solutions at ambient conditions. In this case study phenomena, such as hydration, ion pairing, and partial dissociation are all taken into account. The overall result of this study is a consistent, analytically derived, short-range interaction contribution formulation for the electrolyte-NRTL activity coefficients and a very accurate representation of aqueous sulfuric acid solutions at ambient conditions at concentrations up to 50 molal. 2008 American Institute of Chemical Engineers AIChE J, 54: [1608][1609][1610][1611][1612][1613][1614][1615][1616][1617][1618][1619][1620][1621][1622][1623][1624] 2008 Keywords: electrolyte thermodynamics, electrolyte-NRTL, ionic activity coefficients, multi-electrolyte solutions, mixing of electrolytes, aqueous sulfuric acid
IntroductionThe electrolyte-nonrandom two-liquid (NRTL) model 1 has been extensively applied to represent thermodynamic properties of various electrolyte systems. Examples include mean ionic activity coefficients of aqueous strong electrolytes 1,2 and aqueous organic electrolytes, 3 phase behavior of weak electrolytes, 1 strong acids, 4 mixed-solvent electrolytes, 5 and so forth. The main reasons for its wide acceptance and application are the incorporation of semi-fundamental chemical theories such as the NRTL model for the simulation of local Correspondence concerning this article should be addressed to G. M. Bollas at bollas@mit.edu. *Disclaimer: This paper was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any age...