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of typical methods to improve pore diffusion characteristics will be greatly limited since macropore diffusion is no longer the only rate limiting mechanism. The other is the estimation of axial dispersion effects in process modeling and breakthrough curve analysis is critical for accurate model predictions and mass transfer rate parameter estimations. The results of this study further suggest measuring axial dispersion effects using breakthrough curve analysis to determine an overall MTC can provide an accurate estimation of axial dispersion effects. Literature correlations26 which correctly account for the increase in axial dispersion for small particles also provide a reasonable estimation. Not using one of these methods to describe axial dispersion effects either leads to erroneous rate parameter estimation from breakthrough curves or overestimating the MTC in process simulations. 7.2. On the Role of Pressure Drop in Small Scale PSA While considering the effect of column pressure drop on a specific step of a PSA cycle can be informative, it is difficult to determine the influence of individual steps on the overall process performance. By studying the cumulative effect of column pressure drop on process performance, it was determined its impact is minimal as cycling speed increases. The results instead suggest mass and heat transfer resistances have a much greater influence and limit operation performance before any significant impact of column pressure drop. Several contributing factors are thought to be responsible for this observation. The primary factor is the overall column pressure drop is small due to the short column length often used in small scale PSA processes designed for a POC. The 137PDF Image | LIMITS OF SMALL SCALE PRESSURE SWING ADSORPTION
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