Operation and Control of Pressure Swing Adsorption Systems

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Operation and Control of Pressure Swing Adsorption Systems ( operation-and-control-pressure-swing-adsorption-systems )

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Chapter 5. Simultaneous Design and Control Optimization of PSA Systems Under Uncertainty optimization studies. 5.2.4 Decision Variables A number of decision variables related to PSA process design, cycle scheduling and controller design should be selected carefully in order to obtain an opti- mal performance. The key process design variables considered are the column length, column diameter and switch valve CVs (ON-OFF operation), while the nominal feed rate (Q ̇0feed) is included as an operational decision variable. The key PSA schedule variables considered are the time durations of the processing steps of the underlying PSA cycle, as they directly control the extent of related governing physical phenomena, determining the PSA key performance indicators such as recovery, purity and other operational constraints. Figure 5.1 shows that out of the time duration variables of the six processing steps, only three can be varied independently in order to maintain a synchronized PSA operational cy- cle. It is important to note that the optimal tuning of switch valves(achieved by incorporating their CV s as decision variable) is crucial to maintain suitable pressure-temporal profiles at the bed ends for varying bed dimensions and step durations. For the controller synthesis problem, manipulative variable bias value, controller gain and integral time are considered as decision variables. 5.2.5 Operational Constraints In past studies on PSA optimization (Table 5.3), incorporating hydrogen purity constraint has been considered sufficeint for the design of an optimal PSA oper- ation. However, only providing purity violation information to the NLP solver can often lead to solutions where other important state variables may take values indicating unrealistic physical behavior during the time horizon of operation. One 116

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