Association Electrolyte Model

The RAPID Center for Process Modeling (CPM) team has developed a Association Electrolyte Model. One model developed under this effort is currently available for use.

Primary Category

Associated Content

Association Electrolyte Model

About

The RAPID Center for Process Modeling team at Texas Tech University has developed a model illustrating their Association Electrolyte Model work. The association electrolyte model explicitly considers the solution non-ideality
due to associations among ions and solvent species and greatly improves the accuracy over prior models for electrolyte solutions containing ionic species with high surface charge density.  The excess Gibbs free energy due to ion hydration and ion-pair formation is considered using the association theory.  The longrange and the short-range interactions are
inherited from the electrolyte non-random two-liquid (eNRTL) model and calculated with the Pitzer-Debye-Hückel equation and the local composition theory, respectively. The association electrolyte model can be applied to the entire
concentration range from infinite dilution to pure salt and can be extended to mixed-salt systems without mixing
rules. The association electrolyte model has been demonstrated with superior accuracy over a wide range of
concentration and temperature and has a great potential to be the next-generation model for electrolyte
solutions.

The model package includes this user manual, a manuscript of association electrolyte model, nine Fortran subroutine files, an Aspen example file, and a linker file (.dlopt file).

RAPID Content File Info

Model files include the initial implementation in nine Fortran subroutine files, an Aspen example file, and a linker file.

Licensing Info

The association electrolyte activity coefficient model was developed by Chau-Chyun Chen and his collaborators with RAPID funding and is owned by Texas Tech University. Patent application is in preparation. RAPID members are free to use the model for internal research purposes, but any commercial applications will require the member to negotiate a non-exclusive license from the Texas Tech Office of Research Commercialization. For information on licensing, please contact David McClure, Director of Licensing at Texas Tech University at david.mcclure@ttu.edu.

Acknowledgment for Software

This material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under the Advanced Manufacturing Office Award Number DE-EE0007888.

Corresponding Author(s)

Chau-Chyun Chen, Texas Tech University, ChauChyun.Chen@ttu.edu

Licensing

All models and software tools are subject to licensing terms agreed by the developers in accordance to the RAPID Members Agreement. The referenced published material is subject to the appropriate copyright and publisher restrictions.

Acknowledgment

This material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under the Advanced Manufacturing Office Award Number DE-EE0007888.