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Chapter 6. Design and Environmental Impact Analysis of a Hybrid PSA-Membrane Separation System Table 6.3: Computational parameters for the hybrid study Computational parameters Axial grid nodes Axial discretization method Number of differential variables Number of algebraic variables PSA-membrane simulation Value 40 CFDM 1780 1652 the membrane module. This parameter is varied from 0.1 to 1.5 m2 since the parametric studies conducted on the stand alone membrane where it showed that the best membrane performance can be achieved in this area range. The second parameter chosen for the parametric study is the PSA cycletime as its variation leads to considerable change in hydrogen product recovery and purity in the PSA process. However, the range of this parameter cannot be fixed a priori, as it needs to be varied until the PSA hydrogen purity of 99.99 % or excess is achieved for the given value of membrane area. The key performance indicators for the hybrid system remain the same as for the membrane and PSA stand-alone studies. Therefore, from the membrane perspective CO2 purity and recovery has been taken as the key performance indicators. From the PSA perspective, hydrogen product recovery, and the PSA adsorbent productivity has been selected for the performance measurement, while H2 product purity is treated as a constraint. 6.4.2 Computational Results Tables 6.4 to 6.7 show the hybrid performance indicators as function of membrane area and PSA cycletime. It has been found that that for a given value of area, 151PDF Image | Operation and Control of Pressure Swing Adsorption Systems
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