文摘
It has been established that the security, flexibility, and dynamic controllability of a processare inherent properties of its design, which also affects process economics. In this context, weemployed a previously developed mixed-integer dynamic optimization (MIDO) approach toperform the simultaneous design and control of styrene polymerization reactors. Industrial- andlaboratory-size semibatch jacketed reactors were considered. The gPROMS/gOPT package wassuccessfully used to solve the mixed-integer dynamic optimizations. In each case, the geometry,initiator mixture composition, and control system were optimally determined in a singleoptimization run. We analyzed the effect of using different coolants with and without heat supplyon the laboratory-scale reactor design. We also studied the effect of scale-up in the integratedprocess and control design. Design coincidences and differences were analyzed.