Article | REF: J4014 V1

Residence time distribution and chemical reactor efficiency

Author: Jean-Léon HOUZELOT

Publication date: September 10, 2013 | Lire en français

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    ABSTRACT

    This article deals with the various experimental methods for the acquisition of residence time distribution curves, and presents several mathematical models of residence time distribution for ideal and real reactors. Signal processing methods are provided which allow, via a comparison between experimental curves and curves derived from models, for identification distribution parameters. Two examples are also presented, one based on the model of stirred tanks in series, and the other on the plug flow with axial dispersion model.

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    AUTHOR

    • Jean-Léon HOUZELOT: Professor Emeritus - University of Lorraine - École nationale supérieure des industries chimiques Nancy

     INTRODUCTION

    The concept of residence time distribution (RSD) is used in process engineering to characterize the hydrodynamics of a chemical reactor or any other installation through which a circulating fluid passes. It can be used to :

    • diagnose the presence of stagnant zones or short-circuit phenomena;

    • to establish a hydrodynamic flow model that can be used to calculate the chemical performance of a reactor.

    The main properties of residence time distributions are reviewed, followed by experimental methods for acquiring DTS curves, and then methods for developing DTS models for ideal and real reactors.

    The parameters of a DTS are identified by comparing experiment and model. Signal processing methods are numerous, ranging from the simplest, i.e. the method of moments, through Laplace transforms, then Fourrier transforms, to the most complex, i.e. the method of non-linear regression directly on the curves. Emphasis is placed not only on the methods of implementation, but also on the precision that can be expected.

    Two examples are presented:

    • the first on a compartmental model, the cascade mixer model;

    • the other on a distributed-parameter model, the axial-dispersion plug-flow model.

    Two programs written in Matlab ® enable the reader to easily implement the most precise processing mode.

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    KEYWORDS

    system dynamics   |   internal age   |   life expectancy   |   residence time   |   hydrodynamic models   |   process enginneering   |   chemical reactors   |   residence time distribution   |   signal processing


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