Simulation and optimization of pressure-swing adsorption systems for air separation

AIChE Journal ◽  
2003 ◽  
Vol 49 (5) ◽  
pp. 1140-1157 ◽  
Author(s):  
Ling Jiang ◽  
Lorenz T. Biegler ◽  
V. Grant Fox
1988 ◽  
Vol 43 (5) ◽  
pp. 1017-1031 ◽  
Author(s):  
S. Farooq ◽  
M.M. Hassan ◽  
D.M. Ruthven

Author(s):  
Seyyed M. Ghoreishi ◽  
Z. Hoseini Dastgerdi ◽  
Ali A Dadkhah

A pressure swing adsorption air separation process in a commercial aircraft using 13X zeolite with a more complex cycle than the classic Skarstrom was simulated via a predictive dynamic model to evaluate and optimize oxygen generation system. The coupled mass, energy, and momentum differential equations were discretized using the implicit central finite-difference technique and the obtained equations were solved by Newton-Raphson method. The validated model in conjunction with an optimization procedure (Successive Quadratic Programming) was utilized to investigate the oxygen separation efficiency as a function of β (ratio between the bed time constant and the particle diffusion time constant), Cfp (purge orifice coefficient), θcycle (cycle time), Cff (feed valve), Cfe (exhaust valve) and pH* (high pressure operation). A set of optimum values (β=150, Cfp=0.7, θcycle=1.5, Cff=31, Cfe=52 and pH*=3.8) was obtained and recommended to achieve maximum recovery (0.26) at 98% purity.


2003 ◽  
Vol 21 (1) ◽  
pp. 35-52 ◽  
Author(s):  
C.C.K. Beh ◽  
P.A. Webley

A simplified energy-balance equation has been proposed as an aid to online measurement of the adsorbed-phase nitrogen loading in industrial-scale pressure and vacuum swing adsorption systems consisting of one preferentially adsorbed component. Implementation of this technique to current and future plants requires the addition of thermocouples (which are relatively inexpensive) located axially through the bed and pressure transmitters at the bottom and top of the bed. This methodology has the advantage that the composition front may be inferred accurately from direct measurements of the local pressure and temperature, and used as the basis for process monitoring and diagnostics of plant purity, recovery and production rate.


1998 ◽  
Vol 22 ◽  
pp. S637-S640 ◽  
Author(s):  
Yonsoo Chung ◽  
Byung-Ki Na ◽  
Hyung Keun Song

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