Mixed-integer programming approach for the synthesis of integrated process flowsheets

Abstract This paper discusses the problem of developing algorithmic methods for synthesizing chemical processes. It is shown that mixed-integer programming is the natural underlying tool for these types of methods. Mixed-integer linear programming models are reviewed for utility systems, heat-recovery networks and total processing systems. Various other applications are reviewed to show the versatility and scope of these types of techniques, as well as the shortcomings when other approaches are used. A brief outline for handling explicitly nonlinearities is also presented.

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