Journal ArticleDOI
Synthesis of Optimal Chemical Reactor Networks
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TLDR
This paper takes advantage of attainable-region properties derived from geometric targeting techniques to design a concise reactor module for reactor network synthesis, formulated as a compact mixed integer nonlinear program.Abstract:
The reactor is the most influential unit operation in many chemical processes. Reaction systems and reactor design often determine the character of the flowsheet. However, research in reactor network synthesis has met with limited success because of nonlinear reaction models, uncertain rate laws, and numerous possible reactor types and networks. In this paper we take advantage of attainable-region properties derived from geometric targeting techniques to design a concise reactor module for reactor network synthesis. The reactor module is made up of a continuous stirred tank reactor and a plug flow reactor (for two dimensional targeting) or a differential sidestream reactor (for higher dimensions). These modules are used to synthesize the optimal reactor network target with respect to a specific objective function, and the problem is formulated as a compact mixed integer nonlinear program. This new algorithm overcomes many of the drawbacks of existing algorithms. Finally, we solve several example problems ...read more
Citations
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Retrospective on optimization
TL;DR: A general classification of mathematical optimization problems is provided, followed by a matrix of applications that shows the areas in which these problems have been typically applied in process systems engineering.
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Surrogate‐based superstructure optimization framework
TL;DR: This work develops a superstructure-based strategy where complex unit models are replaced with surrogate models built from data generated via commercial process simulators and how these models can be reformulated and incorporated into mathematical programming superstructure formulations.
Journal ArticleDOI
Review of Mixed-Integer Nonlinear and Generalized Disjunctive Programming Methods
TL;DR: An overview for deriving MINLP formulations through generalized disjunctive programming (GDP), which is an alternative higher-level representation of MINLP problems, is presented and a review of solution methods for GDP problems is provided.
Journal ArticleDOI
Mathematical programming approaches to the synthesis of chemical process systems
TL;DR: This paper presents a review of advances that have taken place in the mathematical programming approach to process design and synthesis, and discusses the algorithms that are available for solving MINLP problems, and its most recent variant, Generalized Disjunctive Programming models.
Journal ArticleDOI
Recent Developments and Challenges in Optimization-Based Process Synthesis
Qi Chen,Ignacio E. Grossmann +1 more
TL;DR: Key concepts in optimization-based conceptual design, namely superstructure representations, multilevel models, optimization methods, and modeling environments, are reviewed and some of the major challenges in the theory and practice in this area are discussed.
References
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GAMS, a user's guide
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A combined penalty function and outer-approximation method for MINLP optimization
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Simultaneous optimization and heat integration of chemical processes
TL;DR: A procedure is proposed for simultaneously handling the problem of optimal heat integration while performing the optimization of process flow sheets so as to insure that the minimum utility target for heat recovery networks is featured.
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A geometric approach to steady flow reactors: the attainable region and optimization in concentration space
TL;DR: In this article, the authors examine a set of exemples a deux dimensions and examine plusieurs ex-emples with de two dimensions, i.e., 2D and 3D.
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Optimization of complex reactor networks—I. Isothermal operation
TL;DR: In this paper, the synthesis problem of complex nonisothermal reaction networks is addressed, where the authors focus on developing a superstructure of alternatives for the non-isothermal reactor system, and subsequently formulate and solve the problem according to the proposed general structure.