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PRESSURE SWING ADSORPTION FOR THE PURIFICATION OF HYDROGEN

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PRESSURE SWING ADSORPTION FOR THE PURIFICATION OF HYDROGEN ( pressure-swing-adsorption-forpurification-hydrogen )

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For these simulations a temperature of 298 K was assumed for the feed and for the initial temperature of the column, considering that, in the literature a range of temperature of 293- 298 K was stated [38]. A total of 80 discretization points were employed in the following simulations. The properties of the adsorbents employed in the literature considered for the following simulation have the same properties as the ones employed in the simulations from the previous section, as well as the properties of the adsorption bed. The first simulation performed consisted in a process operating an adsorption bed with only one layer of adsorbent employed, allowing confirming the functionality of the model for processes with one layer of adsorbent. The breakthrough curve presented below was obtained from a process where the column is filled with one layer of activated carbon. Figure 4.12 – gPROMS simulation a bed containing activated carbon at 6.5 bar and feed flow rate of 5 SLPM The comparison of gPROMS® simulation with the experimental data from the considered literature shows that the model in use can predict the breakthrough time for the conditions employed in the simulation in Figure 4.12, although with some deviation between the profiles, mainly due to the earlier breakthrough of nitrogen in the gPROMS® simulation. However, a good prediction for the breakthrough of carbon dioxide and carbon monoxide is obtained (see Appendix 3, section 3.4). Afterwards, the same mixture was used as feed for a process with two adsorbent layers, activated carbon and zeolite, with a cr of 0.7. The effect of pressure was studied in the following simulations and the results compared with the experimental data provided in the considered literature [38]. Pressure Swing Adsorption for Hydrogen Purification 1 0,8 0,6 0,4 0,2 0 H2 CH4 CO2 CO N2 0 500 1000 1500 2000 time (s) Modelling and Simulation 32 molar fraction

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