An industrial case study in simultaneous design and control using mixed-integer dynamic optimization
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This paper describes an industrial case study concerned with the simultaneous optimization of the design of a high-purity, azeotropic distillation system and its control scheme. The resulting mathematical problem is a large-scale, mixed-integer dynamic optimization (MIDO) one, where the integer variables correspond to discrete decisions such as the determination of the optimal feed tray location. The optimal solution found has a total annualised cost that is 18% less than that of the existing design, which was obtained using a sequential design and control approach. 2002 Elsevier B.V. All rights reserved.