An industrial case study in simultaneous design and control using mixed-integer dynamic optimization Academic Article uri icon

abstract

  • 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.

published proceedings

  • EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING - 12

author list (cited authors)

  • Bansal, V., Ross, R., Perkins, J. D., Pistikopoulos, E. N., & de Wolf, S.

citation count

  • 3

complete list of authors

  • Bansal, V||Ross, R||Perkins, JD||Pistikopoulos, EN||de Wolf, S

publication date

  • January 2002