The thermodynamic modeling highlights the improved performance of models when non-ideality parameters are known, as seen with UNIQUAC and NRTL models, which demonstrated the highest accuracy among all models. However, these parameters are not always available for every system. Therefore, it is also important to consider predictive models, such as UNIFAC, and approaches like neural networks, which offer advantages such as thermodynamic simplicity.