Please use this identifier to cite or link to this item:
Title: Optimizing the PSA process of propylene/propane using Neuro-Fuzzy modeling
Authors: Khalighi, M.
Farooq, S. 
Karimi, I.A. 
Keywords: Neuro-fuzzy model
Propylene/propane separation
Issue Date: 2012
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.
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
ISSN: 15707946
DOI: 10.1016/B978-0-444-59506-5.50098-5
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Apr 22, 2019

Page view(s)

checked on Apr 20, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.