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              Chemical Process Design, Simulation, Optimization, and Operation                            763

                                                                in feasible operation. This computation is reasonably sim-
                                                                ple for a convex problem, as illustrated, but becomes much
                                                                more complicated for nonconvex problems and those with
                                                                a large number of degrees of freedom.

                                                                C. Design for Operability

                                                                Process design modifications usually have a bigger impact
                                                                on operability (dynamic resilience). Dynamic resilience
                                                                depends on controller structure, choice of measurements,
                                                                and manipulated variables. Multivariable frequency-
                     FIGURE 8 Schematic of the flexibility index.  response techniques have been used to determine resi-
                                                                lience properties. A primary result is that closed-loop
              Additionally,theincreaseduseofmodelpredictivecontrol  control quality is limited by system invertability (nonmin-
              techniques allows for more degrees of freedom (associated  imum phase elements). Additionally, it has been shown
              with having more manipulated variables) which in turn  that steady-state optimal designs are not necessarily
              tends to improve controllability and therefore decrease  optimal in dynamic operation.
              process variability. Principal component analysis (PCA)  Another consideration is the dynamic controllability of
              and projection to latent structures (PLS) are tools that can  a process design. If there are no uncertainties or distur-
              be used to monitor process performance and behavior.  bances, then the optimum economic design normally oc-
                                                                curs at a constraint. An actual process cannot be operated
              B. Design for Flexibility                         at a constraint, because any disturbance may force the
                                                                system to violate the constraint (a product purity limit, for
              A process design is flexible if it can tolerate uncertainties  example). In this case, the desired steady-state operating
              in parameters and can handle disturbances. A flexibility  point must be “backed-off” from the economic optimum
              index is a measure of the amount of uncertainty that can  so that the control strategy can tolerate disturbances. The
              be tolerated with the desired process operation remaining  basic idea is shown in Fig. 9.
              feasible. A schematic of the flexibility index, δ, is shown
              in Fig. 8. Here, the two degrees of freedom represent un-
              certain parameters or disturbance variables, which have  VII. PROCESS OPERATION
              assumed upper and lower bounds. The feasible operating
              region lies within the cross-hatched area. The flexibility  The actual operation of a chemical process involves de-
              index is the fraction of the parameter range that still results  cisions and actions that occur at a number of levels and




























                       FIGURE 9  Illustration of best feasible steady-state operating point. (Adapted from Morari and Perkins, 1995).
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