Modelling and Simulation of Twin-Bed Pressure Swing Adsorption Plants

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Modelling and Simulation of Twin-Bed Pressure Swing Adsorption Plants ( modelling-and-simulation-twin-bed-pressure-swing-adsorption- )

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5 Validation of the mathematical model 56 top of the adsorber. Thus, the fixed bed regeneration in the existing PSA plant is not accomplished as efficiently as it is predicted by the process simulation, which does not fully account for those effects. The point is particularly valid when low-purity nitrogen is required, since the MTZ in the column during adsorption becomes extended due to the intensified mass axial dispersion at the elevated product flow rate; therefore, an efficient bed regeneration comes to the fore while aiming for PSA performance enhancement. Consequently, the PSA performance simulation is more accurate as the purge flow rate in the system decreases. Fig. 5.2.2-1 PSA performance at different purge proportionality factor: (a, b) productivity; (c, d) air demand; (a, c) as a function of product purity; (b, d) as a function of purge proportionality factor Oppositely, at a higher product purity level of 10 ppm O2, the relative error of simulated PSA performance parameters decreases with increasing purge flow rate. While the generation of high-purity nitrogen is required, the product flow rate is lowered, so the MTZ in the column during the adsorption is situated mainly at the bottom of the adsorber. Therefore, an efficient adsorbent fixed bed regeneration is primarily required in the bottom section of the column. However, since the counter-current purge is provided at the top of the adsorber column, its velocity decreases progressively and reaches a minimum at the bottom due to a pressure drop

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