Comparative Modeling of Fixed-Bed Adsorption Systems Evaluating Predictive Models for Gas Dehydration Applications

Fixed-bed adsorbent columns are common in industrial gas purification processes, such as dehydration through TSA (Smith & Jones, 1975). It is essential to model these systems correctly for optimal design, accurate performance prediction, and cost-effective operation (Ruthven, 1984). We have also reported on the comparison of several isotherm models for prediction of the fixed bed adsorption process (Adams–Bohart, Thomas, Yoon–Nelson, Clark and BDST(bed depth service time) models), and with the LDF model and and numerical PDE models developed (Do, 1998;LeVan et al.;LeVan, Nelez and Elimelech, 1998) based on available literature.
Models are screened along with mathematical form, assumption, numerical complication and applicability to dynamic gas adsorption work \(Yang, 1997\). Kapoor et al. also indicated influence of model selection on the prediction of breakthrough curve, the amount of adsorbent and the regeneration cycle in TSA systems. (1989). The paper also relieves to the problem of empirical models and to the inability of such models fit model real-industrial behavior, and presents some criterion to select the models best adjusted to each particular system for which their simulation was conceived (SIRCATEX, 2002). It should be valuable to scientists in adsorption design and engineers in gas dehydration and column design optimization (Foo & Hameed, 2010).