Analysis of Nonisobaric Steps in Nonlinear Bicomponent Pressure Swing Adsorption Systems. Application to Air Separation

2000 ◽  
Vol 39 (1) ◽  
pp. 138-145 ◽  
Author(s):  
Adélio M. M. Mendes ◽  
Carlos A. V. Costa ◽  
Alírio E. Rodrigues
Keyword(s):  
Pressure Swing Adsorption ◽  
Air Separation ◽  
Pressure Swing ◽  
Adsorption Systems

Heat effects in pressure swing adsorption systems

1988 ◽  
Vol 43 (5) ◽  
pp. 1017-1031 ◽  
Author(s):  
S. Farooq ◽  
M.M. Hassan ◽  
D.M. Ruthven
Keyword(s):  
Pressure Swing Adsorption ◽  
Heat Effects ◽  
Pressure Swing ◽  
Adsorption Systems

Numerical Analysis and Optimization of Oxygen Separation from Air via Pressure Swing Adsorption

2011 ◽  
Vol 6 (1) ◽  
Author(s):  
Seyyed M. Ghoreishi ◽  
Z. Hoseini Dastgerdi ◽  
Ali A Dadkhah
Keyword(s):  
Time Constant ◽  
Pressure Swing Adsorption ◽  
Separation Efficiency ◽  
Optimization Procedure ◽  
Air Separation ◽  
Oxygen Separation ◽  
13X Zeolite ◽  
Oxygen Generation ◽  
Pressure Swing ◽  
Energy And Momentum

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.

scholarly journals A Method for the Determination of Composition Profiles in Industrial Air Separation, Pressure Swing Adsorption Systems

2003 ◽  
Vol 21 (1) ◽  
pp. 35-52 ◽  
Author(s):  
C.C.K. Beh ◽  
P.A. Webley
Keyword(s):  
Energy Balance Equation ◽  
Nitrogen Loading ◽  
Air Separation ◽  
Local Pressure ◽  
Vacuum Swing Adsorption ◽  
Adsorbed Phase ◽  
Composition Profiles ◽  
Pressure Swing ◽  
Monitoring And Diagnostics ◽  
Adsorption Systems

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.

Short-cut evaluation of pressure swing adsorption systems

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

scholarly journals An Improved Method to Calculate the Conservation of Mass in the Simulation of Rapid Pressurization Depressurization in a Packed Bed

2008 ◽  
Vol 2 (1) ◽  
pp. 30
Author(s):  
Thomas S.Y Chong ◽  
William R. Paterson ◽  
David M. Scott
Keyword(s):  
Differential Equations ◽  
Pressure Swing Adsorption ◽  
Packed Bed ◽  
Air Separation ◽  
Simple Problem ◽  
Improved Method ◽  
Conservation Of Mass ◽  
Rapid Pressure Swing Adsorption ◽  
Pressure Swing ◽  
Rapid Pressure

The work described here forms part of a project to model rapid pressure swing adsorption (RPSA), which is a single-bed process used for air separation. We have earlier identified a form of model and boundary conditions for an axially dispersed plug flow model that conserves mass. We solve the RPSA models numerically by spatially discretizing the partial differential equations to a system of ordinary differential equations (ODEs), which are then integrated over time. Although the formulation of our models conserves mass, our numerical simulations, however, do not perfectly conserve mass because of discretization error and rounding error. The discrepancy in the conservation of mass is computed as a guide to the numerical accuracy of the calculations. The computation of the conservation error requires the evaluation of time integrals of molar flowrates in and out of the bed. Since the velocity at the feed end of the bed changes rapidly with time, the application of quadrature to evaluate the time integrals does not provide the accuracy required. In this paper, the inadequacy is demonstrated using a simple problem, i.e. pressurization and depressurization into a non-adsorptive bed. An improved method is proposed. By transforming equations involving time integrals into ODEs, excellent accuracy is obtained. Further, this transformation minimizes the number of decision parameters that need to be specified by the users of the computer programs. Keywords: rapid pressure swing adsorption, modelling and simulation, packed bed.

Analysis and Optimization of a Pressure-Swing Adsorption Process for Air Separation

2005 ◽  
Vol 31 (6) ◽  
pp. 441-449 ◽  
Author(s):  
Masatoshi Yoshida ◽  
Pathiphon Koompai ◽  
Yoshiyuki Yamashita ◽  
Shigeru Matsumoto
Keyword(s):  
Pressure Swing Adsorption ◽  
Adsorption Process ◽  
Air Separation ◽  
Pressure Swing
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