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Optimization and Control of Pressure Swing Adsorption Processes Under Uncertainty
Author(s) -
Khajuria Harish,
Pistikopoulos Efstratios N.
Publication year - 2013
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.13783
Subject(s) - pressure swing adsorption , swing , control theory (sociology) , closed loop , control engineering , computer science , mathematical optimization , process engineering , control (management) , adsorption , engineering , mathematics , chemistry , artificial intelligence , mechanical engineering , organic chemistry
The real‐time periodic performance of a pressure swing adsorption ( PSA ) system strongly depends on the choice of key decision variables and operational considerations such as processing steps and column pressure temporal profiles, making its design and operation a challenging task. This work presents a detailed optimization‐based approach for simultaneously incorporating PSA design, operational, and control aspects under the effect of time variant and invariant disturbances. It is applied to a two‐bed, six‐step PSA system represented by a rigorous mathematical model, where the key optimization objective is to maximize the expected H 2 recovery while achieving a closed loop product H 2 purity of 99.99%, for separating 70% H 2 , 30% CH 4 feed. The benefits over sequential design and control approach are shown in terms of closed‐loop recovery improvement of more than 3%, while the incorporation of explicit/multiparametric model predictive controllers improves the closed loop performance. © 2012 American Institute of Chemical Engineers AIChE J, 59: 120–131, 2013