A multitude of PSA cycles and adsorbents have been developed for producing highly pure heavy component (CO2) from feedstock with low CO2 concentration. Kikkinides et al. [2] suggested a 4-bed 4-step process with activated carbon as the sorbent and could recover 68% of CO2 at 99.997% purity. Chue et al. [3] compared activated carbon and zeolite 13X on a 3-bed 7-step process and concluded that the latter is better than the former for CO2 recovery. However, the CO2 recovery was low in their process due to the lack of a countercurrent step in the chosen cycle. Choi et al. [4] reported more than 70% CO2 recovery at more than 90% purity for a modified 3-bed 7-step cycle. However, they solved a very small two variable optimization problem, thus being a specialized case. Zhang et al. [5] have given justifications for using a specific cyclic component step in the adsorption cycle in the context of CO2 capture by using a simplistic mathematical model for the PSA process. Reynolds et al. [6] have suggested a variety of stripping PSA cycles for CO2 recovery at high temperature using a hydrotalcite-like adsorbent.
In this study, a two-bed superstructure of the PSA process has been developed to optimally synthesize an appropriate cycle for CO2 capture. The superstructure considers all the possible operating steps in a PSA cycle with two beds. An optimal control problem with a PDE-based model for PSA system has been formulated in which different steps within a cycle are realized with the help of control variables changing with time. The optimization problem has been solved for three different cases of maximizing CO2 recovery (for a given purity), maximizing feed throughput and minimizing specific power (for a given level of CO2 purity and recovery). Current results indicate the superstructure-based approach as a promising technique for deriving optimal PSA cycles. Different cases with different number of control variables indicate convergence to a particular kind of PSA cycle with over 99% purity and recovery of CO2. The results obtained from optimization problem will also be compared with the optimal PSA cycle simulated more accurately in a dynamic simulation environment.
References
[1] Sircar, S., Separation of methane and carbon dioxide gas mixtures by pressure swing adsorption. Sep. Sci. Technolog., 1988, 23, 519.
[2] Kikkinides, E. S., Yang, R. T., Cho, S. H., Concentration and recovery of CO2 from flue gas by pressure swing adsorption. Ind. Eng. Chem. Res., 1993, 32, 2714.
[3] Chue, K. T., Kim, J. N., Yoo, Y. J., Cho, S. H., Yang, R. T., Comparison of activated carbon and zeolite 13X for CO2 recovery from flue gas by pressure swing adsorption. Ind. Eng. Chem. Res., 1995, 34, 591.
[4] Choi, W. K., Kwon, T. I., Yeo, Y. K., Lee, H., Song, H. K., Na, B. K., Optimal operation of the pressure swing adsorption process for CO2 recovery. Korean J. Chem. Eng., 2003, 20, 617.
[5] Zhang, J., Webley, P. A., Cycle development and design for CO2 capture from flue gas by vacuum swing adsorption. Environ. Sci. Technol., 2008, 42, 563.
[6] Reynolds, S. P., Ebner, A. D., Ritter, J. A., Stripping PSA cycles for CO2 recovery from flue gas at high temperature using a hydrotalcite-like adsorbent. Ind. Eng. Chem. Res., 2006, 45, 4278.