In the previous section, we have shown that IAST gives a better prediction of the mixture adsorption isotherms compared to the extended DSL. In an industrial process simulation, the use of IAST requires much longer CPU times because of the integration, and because of this, preference is given to extended DSL or related equations which are numerically less demanding. These CPU times get even longer when we consider optimizing the process, given the multiple iterations involved. However, very little is known about how these differences in the thermodynamic description would impact the process design. For example, would a ranking of the performance of materials significantly change, or is the impact of these differences relatively minor? To answer this question, we consider an elementary TSA process reproduced from the work of Ajenifuja et al. to capture CO 2 from three different sources: (1) a coal-fired power plant (CF-PP), (2) a natural gas power plant (NG-PP), and