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Dynamic Response/Characteristics of an Oxygen Swing Adsorption Process to Step Perturbations. Part 1 325 scales of the pressure and flow rate responses, since these are integrated quantities determined mainly by integrated (or average) bed properties. Such a model is therefore appropriate for the goals of this study since it is computationally rapid, has underlying physics and can be used to help explain observed responses. The price that is paid with these simplifications is the loss of purity prediction (a spatial variable) as well as the loss of a priori prediction. Some parameters of the model must be adjusted to ‘calibrate’ the model to the experimental data — in the present study, these parameters were valve Cv’s and pressure boundary conditions, as explained below. It should be stressed that such a calibration is undertaken purely to fix absolute values of the pressure and flow for future control purposes and is not necessary for predicting the change in pressure and flow nor the time scale of the response. The model is firmly grounded in the physics of pressure-driven flow to/from coupled tanks, some of which contain adsorbents. The lumped model, termed SoCAT (Simulator of Coupled Adsorptive Tanks), was developed with the aforementioned goals in mind. As mentioned above, this model does not replace simula- tors that are intended to provide an a priori match to the experimental data. The model is not unique — several variations of the model are possible. The process model is based on the flow sheet illustrated in Figure 4, from which similarities can be seen between the model process flow diagram and the pilot plant P & ID as depicted in Figure 1. Figure 4. Process flow diagram of the dynamic model — SoCAT.PDF Image | Dynamic Response and Characteristics of an Oxygen Vacuum Swing Adsorption
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