Integrated process design, scheduling, and control using multiparametric programming

The objective of this paper is to develop a sustainable integrated process design and control methodology for a distillation column system. The sustainable integrated process design and control problem for a distillation column system is typically formulated as a mathematical programming (optimization with constraints) problem, and solved by decomposing it to six sequential hierarchical sub-problems: (i) pre-analysis, (ii) design analysis, (iii) controller design analysis, (iv) sustainability analysis, (v) detailed economics analysis and (vi) final selection and verification. The results through case study of benzene-toluene separation process shows the proposed methodology is capable to find the optimal solution that satisfies design, control, sustainability and economic criteria in a simple and efficient way.

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Integrated Process Design and Control of Cyclic Distillation Columns

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.09.368 ◽

2018 ◽

Vol 51 (18) ◽

pp. 542-547 ◽

Cited By ~ 8

Author(s):

Bastian B. Andersen ◽

Rasmus F. Nielsen ◽

Isuru A. Udugama ◽

Emmanouil Papadakis ◽

Krist V. Gernaey ◽

...

Keyword(s):

Process Design ◽

Integrated Process ◽

Distillation Columns ◽

And Control

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Systematic integrated process design and control of binary element reactive distillation processes

AIChE Journal ◽

10.1002/aic.15322 ◽

2016 ◽

Vol 62 (9) ◽

pp. 3137-3154 ◽

Cited By ~ 34

Author(s):

Seyed Soheil Mansouri ◽

Jakob Kjøbsted Huusom ◽

Rafiqul Gani ◽

Mauricio Sales-Cruz

Keyword(s):

Process Design ◽

Reactive Distillation ◽

Integrated Process ◽

And Control

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Towards the Grand Unification of Process Design, Scheduling, and Control—Utopia or Reality?

Processes ◽

10.3390/pr7070461 ◽

2019 ◽

Vol 7 (7) ◽

pp. 461 ◽

Cited By ~ 14

Author(s):

Baris Burnak ◽

Nikolaos A. Diangelakis ◽

Efstratios N. Pistikopoulos

Keyword(s):

Systems Engineering ◽

Process Design ◽

Optimization Techniques ◽

Grand Unification ◽

Multiple Time Scales ◽

Future Research ◽

Multiple Time ◽

Conflicting Objectives ◽

And Control ◽

Design Scheduling

As a founder of the Process Systems Engineering (PSE) discipline, Professor Roger W.H. Sargent had set ambitious goals for a systematic new generation of a process design paradigm based on optimization techniques with the consideration of future uncertainties and operational decisions. In this paper, we present a historical perspective on the milestones in model-based design optimization techniques and the developed tools to solve the resulting complex problems. We examine the progress spanning more than five decades, from the early flexibility analysis and optimal process design under uncertainty to more recent developments on the simultaneous consideration of process design, scheduling, and control. This formidable target towards the grand unification poses unique challenges due to multiple time scales and conflicting objectives. Here, we review the recent progress and propose future research directions.

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