(592e) Predictive Models of Azeotropic Adsorption from Molecular Simulations and Macroscopic Theories
AIChE Annual Meeting
2019 AIChE Annual Meeting
Molecular Simulation of Adsorption II
Wednesday, November 13, 2019 - 4:42pm to 5:00pm
This works has two objectives: to understand behaviour of complex adsorbed mixtures, capable of forming azeotropes, on a molecular level; using insights from a molecular-level picture, develop a predictive macroscopic model of adsorption of these mixtures, suitable for design of adsorption processes.
For this, we employ Grand Canonical Monte Carlo (GCMC) simulations to explore how the heterogeneity of the solid, and mixture of gases of different size and polarity, can lead to azeotropic adsorption behaviour. As a case study we consider binary isobutane-ethylene mixture adsorbed in 13X zeolite5. Within molecular simulations adsorptive behaviour of different regions of the porous space can be explored in isolation from the rest of the system6. This allows us to define the adsorption sites within the system of interest and obtain specific information about properties of these sites, such as: heat of adsorption, Henryâs law constants, full single and multicomponent isotherms of both isobutene and ethylene on each site. This analysis elucidates a microscopic origins of the azeotropic behaviour of the system.
The results from GCMC simulations and the analysis above provide a foundation for the parametrisation of the thermodynamic âRigid Adsorbent Lattice Fluidâ (RALF) model, recently developed by Brandani7. The novel heterogeneous version of RALF is presented here to account for different adsorbing sites. Indeed, RALF model has shown comparable performance for the prediction of single component isotherms with respect to empirical equations, and good a priori predictive capability for complex multicomponent systems. Therefore, using a combination of molecular simulations and advanced RALF theory, we achieve the second objective of this study.
- Ruthven, D. M. Principles of Adsorption and Adsorption Processes. (1984).
- Myers, A. L. & Prausnitz, J. M., AIChE J. 11, 121â127 (1965).
- Do, D. D. & Do, H. D., Adsorption 5, 319â329 (1999).
- Lucena, S., Snurr, R. Q. & Cavalcante, C. L. J., Adsorption 13, 477â484 (2007).
- Hyun, S. H. & Danner, R. P., J. Chem. Eng. Data 27, 196â200 (1982).
- Krishna, R. & Paschek, D., Phys. Chem. 1, 453â462 (2001).
- Brandani, S., AIChE J. 65, 1304â1314 (2019).