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demonstrates that both are important to model a PSA process accurately. For breakthrough experiments, where even lower Reynolds numbers are used, the dispersion term is predominant for the smaller particle. Figure 6.4 further demonstrates the significance of axial dispersion effects for small particles when determining the overall MTC experimentally. In the figure, MTC predictions for the two different particle sizes are compared. It is clear the MTC predictions for the large particle do not vary significantly, which indicates the DL estimate does not greatly impact the overall MTC estimation. Furthermore, macropore diffusion is the limiting resistance except at very low Reynolds numbers where the MTC varies significantly because of axial dispersion effects. This is not the case for small particles as the MTC is a much stronger function of Reynolds number. The switch from axial dispersion control to macropore diffusion control is much more gradual compared to larger particles. Recognizing the mass transfer rate is significantly impacted by axial dispersion effects increases the importance of properly accounting for it in process models with small particles. Simulation accuracy may be significantly affected by using the wrong correlation to approximate DL. A mass transfer rate controlled by axial dispersion effects additionally influences typical particle production methods aimed at reducing macropore resistance. These methods will have a more limited impact on process performance since pore diffusion is no longer the only limiting mass transfer mechanism. 110PDF Image | LIMITS OF SMALL SCALE PRESSURE SWING ADSORPTION
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