Game theoretic approach to multiobjective designs: Focus on inherent safety

Meel, Anjana; Seider, Warren D.; Soroush, Masoud

doi:10.1002/aic.10635

Cited by 22 publications

(10 citation statements)

References 40 publications

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“…R EMARK 3 . Based on the phase behavior (minimum‐phase behavior and nonminimum‐phase behavior), the controllability analysis for a single unit is discussed in previous work 27, 59…”

Section: Methodology Developmentmentioning

confidence: 99%

“…Existing research also has shown that a control structure that fixes the flow rate of one stream somewhere in a liquid recycle loop can prevent the snowball 57. Extended bifurcation diagrams59 can facilitate changes to the process network design, to ameliorate some of the instability and poor controllability introduced by large recycle streams and/or heat integration schemes.…”

Section: Introductionmentioning

confidence: 99%

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Systematic controllability analysis for chemical processes

et al. 2012

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Modern chemical industrial processes are becoming more and more integrated and consist of multiple interconnected nonlinear process units. These strong interactions profoundly complicate a system's inherent properties and further alter the plant‐wide process dynamics. This may lead to a poor control performance and cause plant‐wide operability problems. To ensure entire processes run robustly and safely, with considerable profitability, it is crucial to recognize the inherent characteristics that can jeopardize controllability and process behavior at the early design stage. With a focus on inherently safer designs, from a plant‐wide perspective, a systematic method for chemical processes controllability analysis is addressed in this study. In the proposed framework, based on open‐loop stability/instability and minimum/nonminimum‐phase behavior, the entire operating zone of the process can be categorized into distinct subregions with different inherent properties. Variations in the inherent characteristics of a plant‐wide process with the operation and design conditions, over the feasible operation region, can be probed and analyzed. An attempt of this framework is made to illustrate how to clarify the roots of the poor controllability that arise in the design and operation of a large scale chemical process, and the results can provide guidance for both deciding the optimal operation conditions and selecting the most suitable control structure. Singularity theory is also applied in the framework to improve the computational efficiency. The framework is illustrated with two case studies. One involves a reactor‐external heat exchanger network and the other a more complex plant‐wide process, comprising a reactor, an extractor, and a distillation column. © 2012 American Institute of Chemical Engineers AIChE J, 58: 3096–3109, 2012

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“…R EMARK 3 . Based on the phase behavior (minimum‐phase behavior and nonminimum‐phase behavior), the controllability analysis for a single unit is discussed in previous work 27, 59…”

Section: Methodology Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Systematic controllability analysis for chemical processes

et al. 2012

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“…Morari et al 19 RHP Zeros LD Russell and Perkins 20 Time delay NLD Skogestad and Morari 21,22 CN LD Bogle and Rashid 23 CN LD Psarris and Floudas 24,25 Time delay LD Narraway and Perkins 26 Economic back-off LD Skogestad and Hovd 27 RGA, CLDG LD Weitz and Lewin 28 Disturbance cost LD Soroush 29 Time delay LD Zafiriou E, Chiou 30 Process zeros LD Cao and Perkins 31 Output deviation NLD Lewin and Bogle 32 RGA LD Young and Swart 33 Economic back-off LD Ross and Swartz 34 Closed-loop performance LD Havre and Skogestad 35 NMP performance NLD Gal and Varga 36 Structural controllability LD Chenery and Walsh 37 Output deviation LD Zheng and Mahajanam 38 Dynamic controllability LD Kim and Yoon 39 Structural controllability NLD Byungwoo et al 40 Structural controllability NLD Kuhlman and Bogle 41 NMP performance NLD Karafyllis and Kokossis 42 Disturbance resiliency NLD Meeuse and Tousain 43 Closed-loop performance LD Maya-Yescas and Aguilar 44 RGA NLD Kuhlman and Bogle 45 NMP performance NLD Cao and Yang 46 Singular value, zeros LD Engell et al 47 RPN LD Meel and Seider 48 NMP performance NLD Santoso et al 49 Passivity NLD Srinivasan and Bonvin 50 Output controllability NLD Kaymak and Luyben 51 Dynamic controllability NLD Santoso et al 52 Passivity LD Papadopoulos and Seferlis 53 Sensitivity analysis NLD Kaistha et al 54 Closed-loop performance NLD increasing proximity of the zeros to the imaginary axis. Studies 58 have shown that RHP zeroes cannot be shifted to different locations by ou...…”

Section: Cn Ldmentioning

confidence: 99%

“…Meel and Seider presented a game theory-based multiobjective optimization method for designing processes, focusing on inherent safety. 48 This multiobjective optimization of design considering controllability, flexibility, and stability simultaneously would be a very interesting future development.…”

Section: Multiobjective Optimization-based Analysis For Chemical Procmentioning

confidence: 99%

An overview on controllability analysis of chemical processes

2011

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Controllability is one of the most important aspects of chemical process operability, because it can be used to assess the attainable operation of a given process and improve its dynamic performance. The purpose of this article is to outline the main methodologies that have been developed to deal with the assessment of process controllability and the improvement of its controllability characteristics. Several existing controllability assessment methods are reviewed and discussed. For improving the controllability characteristic of a process, there are two main design methods: the optimization-based method and the controllability indices-based anticipating sequential method. Advantages and disadvantages of these techniques are discussed. It has been emphasized that bifurcation analysis, as a powerful nonlinear analysis tool, could provide important guidance for making processes more controllable by eliminating or avoiding some undesirable behaviors of processes. Further challenges and developments in the field of process controllability are identified.

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“…Kuhlmann and Bogle 24 demonstrated the relationships between input multiplicity and nonminimum phase behavior and between controllability and optimal operation for nonlinear single-input, single-output systems, and they 25 also shown the process inherent limitation on switchability imposed by unstable zero dynamics. Meel and Seider 26 introduced a method for designing the inherently safer processes with good controllability according to the zero dynamics. Yuan et al 27 presented a methodology for segregating the whole operating space of a CSTR into subspaces with different characteristics based on instability/stability and nonminimum/minimum phase behavior.…”

Section: Introductionmentioning

confidence: 99%

Phase behavior analysis for industrial polymerization reactors

2010

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The production of polymer is a very important sector in the chemical processing industry as demand for polymeric materials increases, and these polymerization processes exhibit nonlinear dynamics posing difficulties on process operation and control. It is desirable to understand the relationship between open-loop controllability and process conditions. The phase behavior that is an open-loop indicator of the controllability for the methyl methacrylate and propylene polymerization reactor over the entire feasible operating region is determined, and the influences of design/operating parameters and model uncertainties on this inherent characteristic at the design stage are analyzed. Based on zero dynamics and singularity theory, directly in the nonlinear setting, a methodology for the preliminary analysis of the phase behavior over the whole feasible operating region is presented and applied into the above two reactors.The above research results demonstrate that to modify certain parameters in certain direction would improve the controllability and are expected to provide helpful guidelines for improving plant and control system design. This is desirable because it allows identification of the cause of the limitation to give an indication where to modify the design.

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Game theoretic approach to multiobjective designs: Focus on inherent safety

Cited by 22 publications

References 40 publications

Systematic controllability analysis for chemical processes

Systematic controllability analysis for chemical processes

An overview on controllability analysis of chemical processes

Phase behavior analysis for industrial polymerization reactors

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