The association non-random two-liquid (association eNRTL) model (Y.-J. Lin, C.-J. Hsieh, and C.-C. Chen, AIChE Journal, 68 (2022) e17422) has the potential to capture the nonideality caused by association phenomena such as self-association of water and cross association forming ion-hydration and ion pairs. To enhance the applicability of the association eNRTL model in industrial and academic fields, a comprehensive investigation of various aqueous electrolyte solutions is essential. In this work, we show that the association eNRTL model works for most aqueous single-electrolyte solutions and their thermodynamic properties at various temperatures and concentration up to saturation. Since The association-related parameters are ion-specific and the association contribution term is generally the dominant term, the association eNRTL model is expected to show ability of predicting properties in aqueous mixed-electrolyte solutions. Finally, we conclude the performance of the association eNRTL model by estimating thermodynamic properties of impactful industrial processes, such as CO2 capture. This work aims to provide comprehensive summary and guide of the association eNRTL model to engineers.
