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|Title:||Optimizing the PSA process of propylene/propane using Neuro-Fuzzy modeling|
|Citation:||Khalighi, M.,Farooq, S.,Karimi, I.A. (2012). Optimizing the PSA process of propylene/propane using Neuro-Fuzzy modeling. Computer Aided Chemical Engineering 31 : 1336-1340. ScholarBank@NUS Repository. https://doi.org/10.1016/B978-0-444-59506-5.50098-5|
|Abstract:||Cryogenic distillation is the common method for separating propylene/propane mixtures, but this is highly energy intensive. Some 8-ring silica zeolites, especially pure silica chabazite (SiCHA), are known to show high diffusivity ratio for propylene over propane. In this work, we study the separation of propylene/propane using pure silica chabazite (SiCHA) in a simple 4-step pressure swing adsorption process. An isothermal isobaric micropore diffusion model with concentration-dependent diffusivity has been developed to simulate this kinetically controlled separation. It is first developed and implemented in the multi-physics software COMSOL to simulate different modes of PSA process. In this study, we present a sequential optimization strategy based on neuro-fuzzy model and genetic algorithm (GA) with synergistic combination of COMSOL simulation model to maximize the purity of propylene and propane productions. © 2012 Elsevier B.V.|
|Source Title:||Computer Aided Chemical Engineering|
|Appears in Collections:||Staff Publications|
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