A new class of control structures for heterogeneous reactive distillation processes

Journal Article (2022)
Author(s)

Mihai Daniel Moraru (Hexion, Pernis)

Iulian Patrascu (Politehnica University of Bucharest)

A.A. Kiss (The University of Manchester, TU Delft - ChemE/Product and Process Engineering)

Costin Sorin Bildea (Politehnica University of Bucharest)

Research Group
ChemE/Product and Process Engineering
Copyright
© 2022 Mihai Daniel Moraru, Iulian Patrascu, A.A. Kiss, Costin Sorin Bildea
DOI related publication
https://doi.org/10.1016/j.cep.2021.108672
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Mihai Daniel Moraru, Iulian Patrascu, A.A. Kiss, Costin Sorin Bildea
Research Group
ChemE/Product and Process Engineering
Volume number
171
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Abstract

There are only a handful of process control structures applied to the neat operation of both homogeneous and heterogeneous reactive distillation, for two-reactants / two-products one-reaction systems. All of these control structures employ inferential temperature control (or concentration analyzers) at some location in the column to balance the reaction stoichiometry. This original study proposes a new class of control structures applicable to heterogeneous reactive distillation. The novel idea, common to all control structures, is based on monitoring the inventory of the reactant involved in the heterogeneous azeotrope. The organic reflux (or the organic reflux / aqueous distillate ratio) is used to detect the excess or deficiency of the reactant, based on which the fresh feed rate is adjusted such that the reaction stoichiometry is balanced. This control philosophy is simple and easy to implement in different ways as illustrated by several case studies. The performance of the proposed control structures depends on the system studied. For some systems, the performance is better, as good or nearly as good as that of the literature control structures. But for other systems, the performance is poor or the structure even fails to control the process, due to the insufficient feedback from inventory measurements.

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