TY - JOUR
T1 - A simple and practical process modeling methodology for pressure swing adsorption
AU - Sees, Michael D.
AU - Kirkes, Toni
AU - Chen, Chau Chyun
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/4
Y1 - 2021/4
N2 - Although many dynamic models exist for the design and simulation of pressure swing adsorption (PSA) processes, these models involve the solution of a complex system of coupled partial differential equations. Process engineers need a simple, practical, and yet robust short-cut model that helps decide whether to implement a PSA system in a process flowsheet. This work presents a “virtual” moving bed modeling methodology that considers only mass and energy balances and adsorption isotherms to describe the cyclic steady state behavior of PSA systems. Similar to tray efficiencies in distillation calculations, adsorption efficiencies are further introduced to account for system “non-ideality.” A lab-scale air separation system is used to illustrate the application of this modeling methodology.
AB - Although many dynamic models exist for the design and simulation of pressure swing adsorption (PSA) processes, these models involve the solution of a complex system of coupled partial differential equations. Process engineers need a simple, practical, and yet robust short-cut model that helps decide whether to implement a PSA system in a process flowsheet. This work presents a “virtual” moving bed modeling methodology that considers only mass and energy balances and adsorption isotherms to describe the cyclic steady state behavior of PSA systems. Similar to tray efficiencies in distillation calculations, adsorption efficiencies are further introduced to account for system “non-ideality.” A lab-scale air separation system is used to illustrate the application of this modeling methodology.
KW - Adsorption
KW - Pressure swing adsorption
KW - Process intensification
KW - Steady state process simulation
UR - http://www.scopus.com/inward/record.url?scp=85100443817&partnerID=8YFLogxK
U2 - 10.1016/j.compchemeng.2021.107235
DO - 10.1016/j.compchemeng.2021.107235
M3 - Article
AN - SCOPUS:85100443817
SN - 0098-1354
VL - 147
JO - Computers and Chemical Engineering
JF - Computers and Chemical Engineering
M1 - 107235
ER -