Simultaneous design and control optimisation under uncertainty Conference Paper

abstract

• This paper demonstrates how the design and control of processes described by large-scale, complex, mixed-integer dynamic models can be simultaneously optimised in the face of time-varying disturbances and parametric uncertainties. A rigorously modelled distillation example is used for this purpose, where the number of trays, feed location, column diameter, surface areas of the heat exchangers and tuning parameters of the controllers are selected in order to minimise the total annualised cost of the system, while satisfying a large number of feasibility constraints. (C) 2000 Elsevier Science Ltd.

authors

• Pistikopoulos, Stratos

published proceedings

• COMPUTERS & CHEMICAL ENGINEERING

author list (cited authors)

• Bansal, V., Perkins, J. D., Pistikopoulos, E. N., Ross, R., & van Schijndel, J.

citation count

• 97

complete list of authors

• Bansal, V||Perkins, JD||Pistikopoulos, EN||Ross, R||van Schijndel, JMG

publication date

• July 2000

publisher

• Elsevier  Publisher

published in

• Computers and Chemical Engineering  Journal

keywords

• Mixed-integer Dynamic Optimization
• Process Control
• Process Design
• Uncertainty

Digital Object Identifier (DOI)

• 10.1016/S0098-1354(00)00475-0

start page

• 261

end page

• 266

volume

• 24

issue

• 2-7

URL

• http://dx.doi.org/10.1016/s0098-1354(00)00475-0