Identification of the Attainable Region for Batch Reactor Networks

In this work, we describe a method for automatically identifying the set of all points in concentration space that represent outlet compositions of some network of discretely fed batch reactors for a given reaction set with known kinetics. This so-called batch attainable region (BAR) is dependent on the batch network's feed and total operating time, and it is shown to be quantifiable using the Infinite DimEnsionAl State-space (IDEAS) framework. We first establish that a simple batch reactor model possesses the properties that allow application of the IDEAS framework. We then formulate the resulting IDEAS Infinite Linear Program (ILP) whose solution is guaranteed to identify the globally optimal network of batch reactors. We subsequently use a simple transformation of this IDEAS ILP that leads us to propose two algorithms that are related to the construction of the true BAR. The first is a “Shrink-Wrap”-like algorithm that is similar to that previously reported [Manousiouthakis et al. The Shrink-Wrap Algor...

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