Please use this identifier to cite or link to this item: https://doi.org/10.1016/B978-0-444-59506-5.50098-5
Title: Optimizing the PSA process of propylene/propane using Neuro-Fuzzy modeling
Authors: Khalighi, M.
Farooq, S. 
Karimi, I.A. 
Keywords: Neuro-fuzzy model
Optimization
Propylene/propane separation
PSA
Issue Date: 2012
Source: 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
URI: http://scholarbank.nus.edu.sg/handle/10635/64357
ISSN: 15707946
DOI: 10.1016/B978-0-444-59506-5.50098-5
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