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Chapter 5. Simultaneous Design and Control Optimization of PSA Systems Under Uncertainty Table 5.7: Operating parameters for the PSA CSS estimation study Parameter C Vbldn CVpres D Q ̇ f eed tdep Value Parameter 0.06504 C Vdep 0.006 CVpurge 0.157 L/D 1.68 tf eed 400 tpres Value 0.00947 5 × 10−4 6 95.1 30.1 In order to investigate this for the system under consideration (see Tables 5.6 and 5.7), a number of numerical experiments are conducted, employing a relaxed definition of CSS as shown in Eq. 5.12, where εCSS is a small positive number, which plays a critical role in the evaluation of the number of cycles required in settling key PSA variables, defined in a lumped fashion, as shown in Eq. 5.13. eCSS(t) = ypavg(t) − ypavg(t − tcycletime) ≤ εCSS (5.12) ∫1 yp(z∗)dz∗; z∗ = z/L (5.13) The results, summarized in Table 5.8, show that lower values of εCSS require higher number of PSA cycles for all CSS indicators considered. Furthermore, the hydrogen gas phase molar concentration and bed temperature are the slowest to settle down for a given value of εCSS. In addition, observing PSA performance indicators, purity and recovery alone may not be adequate to define CSS, as in this case bed temperature is the slowest to settle down. Based on the above analysis, a value of 50 cycles is selected as the time horizon for PSA dynamic ypavg = 0 114PDF Image | Operation and Control of Pressure Swing Adsorption Systems
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