Automated synthesis of distillation sequences using fuzzy logic and simulation

Flowers, Thomas L.; Harrison, B. Keith; Niccolai, M.

doi:10.1002/aic.690400807

Cited by 9 publications

(1 citation statement)

References 15 publications

(13 reference statements)

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“…It is easier to find approaches that deal with just deterministic and stochastic inputs or just deterministic and fuzzy inputs [42]. In the control engineering literature, it is possible to find works that present fuzzy-heuristic-based methodologies [43,44]. Nevertheless, these papers rarely consider combinatorial optimization problems, as the one discussed in our work.…”

Section: Literature Review On Hybrid Heur-sim-fuzzy Approachesmentioning

confidence: 99%

Fuzzy Simheuristics: Solving Optimization Problems under Stochastic and Uncertainty Scenarios

et al. 2020

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Simheuristics combine metaheuristics with simulation in order to solve the optimization problems with stochastic elements. This paper introduces the concept of fuzzy simheuristics, which extends the simheuristics approach by making use of fuzzy techniques, thus allowing us to tackle optimization problems under a more general scenario, which includes uncertainty elements of both stochastic and non-stochastic nature. After reviewing the related work, the paper discusses, in detail, how the optimization, simulation, and fuzzy components can be efficiently integrated. In order to illustrate the potential of fuzzy simheuristics, we consider the team orienteering problem (TOP) under an uncertainty scenario, and perform a series of computational experiments. The obtained results show that our proposed approach is not only able to generate competitive solutions for the deterministic version of the TOP, but, more importantly, it can effectively solve more realistic TOP versions, including stochastic and other uncertainty elements.

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Section: Literature Review On Hybrid Heur-sim-fuzzy Approachesmentioning

confidence: 99%

Fuzzy Simheuristics: Solving Optimization Problems under Stochastic and Uncertainty Scenarios

et al. 2020

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New synthesis framework for the optimization of complex distillation systems

Shah

Kokossis

2002

AIChE Journal

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A new synthesis framework screens and examines complex distillation sequences. Con®entional superstructure de®elopments are replaced in fa®or of a no®el representation that assumes the form of a supertask model. The supertask is based on simple tasks that accommodate for basic sequences. Hybrid tasks account for complex columns and sloppy splits. Discrete instances of simple tasks are combined with hybrid transformations to optimize operating conditions. The optimization problem is formulated as a simple MILP problem that is possible to sol®e to global optimality. The proposed representation can de®elop different noncon®entional and no®el designs featuring fully integrated columns, parallel sequences, and multiple-effect columns. The approach is illustrated with se®eral literature and industrial problems. In all cases solutions are reported in the form of noncon®entional designs that perform as optimal or near-optimal schemes. IntroductionEffective screening of separation systems constitutes a critical stage, as engineers need to review and understand trade-offs ahead of detailed modeling and simulation. In the separation, it is often desired to explore the use of complex rather than simple columns, because the complex units reduce mixing losses, use available vapor and liquid more effec-Ž tively, and improve the separation efficiency Triantafyllou . and Smith, 1992 . Despite its recognized potential in energy savings, complex distillation applications are limited due to their difficult and demanding design and synthesis assignment. Synthesis challenges and operability issues that arise from a more complex dynamic behavior have discouraged wider industry acceptance. A prohibitive number of configurations emerge from different allocations of side-rectifiers, side-strippers, prefractionators, and side-draw columns. Such options are difficult to enumerate and assess. The design alternatives increase rapidly and the trade-offs are impossible Ž . to assess with an exhaustive implicit or explicit enumeration of the options. Although this article does not address dynamCorrespondence concerning this article should be addressed to A. C. Kokossis at this current address: Dept. of Chemical and Process Engineering, University of Surrey, Guildford GU2 5XH, U.K.Current address of P. B. Shah: AEA Technology-Hyprotech, 707-8th Avenue SW, Suite 800, Calgary, Alberta, Canada T2P 3V3.ics, it presents a simultaneous, systematic, and rigorous approach for the automated development of optimal designs. The approach is computationally inexpensive, reliable, and very efficient to implement. It provides the engineer with a selected set of optimal designs on which further attention to dynamics and operability would yield the final design.Previous efforts have focused on the development of shortcut methods that were designed to evaluate fixed configurations and initialize simulation models. Stupin and Lockhart Ž . 1972 developed the equivalent arrangements of simple columns to represent complex configurations. Several other Ž researchers Fi...

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Chemistry and chemical engineering

1970

Journal of the Franklin Institute

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Automated synthesis of distillation sequences using fuzzy logic and simulation

Cited by 9 publications

References 15 publications

Fuzzy Simheuristics: Solving Optimization Problems under Stochastic and Uncertainty Scenarios

Fuzzy Simheuristics: Solving Optimization Problems under Stochastic and Uncertainty Scenarios

New synthesis framework for the optimization of complex distillation systems

Chemistry and chemical engineering

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