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Screening models for batch process development: Part II. Case studies

CHEMICAL ENGINEERING SCIENCE 1999年第18期54卷 4065-4087页

作者： Allgor, RJ Barton, PI MIT Dept Chem Engn Cambridge MA 02139 USA MIT Energy Lab Cambridge MA 02139 USA

Screening models for batch process development are applied to several case studies. Two different processes are examined, and the targeting models derived for the reaction tasks illustrate the ability of screening models to employ information that is commonly available early in process development to perform aspects of the process synthesis. Bounds for the extents and selectivity of reaction are derived in terms of key operating variables. The first process demonstrates the ability of the screening models to identify favorable processing structures and illustrates the need to consider a rich enough set of processing configurations when generating the process superstructure. The application of the screening models to an industrial siloxane monomer process demonstrates the ability of the screening models to identify favorable processing structures early in the design of a real-world example process, and illustrates how the screening models facilitate the dynamic optimization of particular process structures. (C) 1999 Elsevier Science Ltd. All rights reserved.

关键词： batch process development process synthesis dynamic optimization design targets mixed-integer linear programming

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Screening models for batch process development Part I. Design targets for reaction/distillation networks

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CHEMICAL ENGINEERING SCIENCE 1999年第19期54卷 4145-4164页

作者： Allgor, RJ Evans, LB Barton, PI MIT Dept Chem Engn Cambridge MA 02139 USA MIT Energy Lab Cambridge MA 02139 USA

Screening formulations for batch process development are introduced. Screening models bound the dynamic performance of batch distillation and reaction tasks with algebraic models. The discrete design decisions related to the structure of the processing network and the assignment of equipment are considered simultaneously with the dynamic decisions concerning the operating policies of the tasks within a convex mixed-integer model that yields a rigorous lower bound on the cost of the design. These formulations not only provide design targets to measure the potential for improving existing designs, but also perform aspects of the process synthesis such as selection of separation structures and solvents from a list of candidates. The derivation of the screening models and the way in which they can be used to enhance existing techniques for batch process development are discussed. (C) 1999 Elsevier Science Ltd. All rights reserved.

关键词： batch process development process synthesis dynamic optimization design targets mixed-integer linear programming

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