Optimization of Multibed Pressure Swing Adsorption Processes

This work presents an optimization framework for complex pressure swing adsorption (PSA) processes including multibed configurations and multilayered adsorbents. The number of beds, PSA cycle configuration, and various operating and design parameters have been systematically optimized using recent a...

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Published inIndustrial & engineering chemistry research Vol. 48; no. 11; pp. 5388 - 5398
Main Authors Nikolić, Dragan, Kikkinides, Eustathios S, Georgiadis, Michael C
Format Journal Article
LanguageEnglish
Published Washington, DC American Chemical Society 03.06.2009
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Abstract This work presents an optimization framework for complex pressure swing adsorption (PSA) processes including multibed configurations and multilayered adsorbents. The number of beds, PSA cycle configuration, and various operating and design parameters have been systematically optimized using recent advances on process optimization. The Unibed principle has been adopted relying on the simulation over times of only one bed while storage buffers have been used to model bed interactions. A novel state transition network (STN) representation is employed for the efficient simulation and optimization of the processes. Two large-scale multicomponent separation processes have been used to illustrate the applicability and potential of the proposed approach in terms of improvement of product purity and recovery. Results indicate that significant improvements can be achieved over base case designs.
AbstractList This work presents an optimization framework for complex pressure swing adsorption (PSA) processes including multibed configurations and multilayered adsorbents. The number of beds, PSA cycle configuration, and various operating and design parameters have been systematically optimized using recent advances on process optimization. The Unibed principle has been adopted relying on the simulation over times of only one bed while storage buffers have been used to model bed interactions. A novel state transition network (STN) representation is employed for the efficient simulation and optimization of the processes. Two large-scale multicomponent separation processes have been used to illustrate the applicability and potential of the proposed approach in terms of improvement of product purity and recovery. Results indicate that significant improvements can be achieved over base case designs.
Author Kikkinides, Eustathios S
Nikolić, Dragan
Georgiadis, Michael C
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  givenname: Michael C
  surname: Georgiadis
  fullname: Georgiadis, Michael C
  email: mgeorg@otenet.gr, mgeorg@uowm.gr
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Pressure swing adsorption
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SubjectTerms Adsorption
Applied sciences
Chemical engineering
Exact sciences and technology
Process Design and Control
Title Optimization of Multibed Pressure Swing Adsorption Processes
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