Article | REF: J4014 V1

Residence time distribution and chemical reactor efficiency

Author: Jean-Léon HOUZELOT

Publication date: September 10, 2013

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


Overview

Français

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.

Read this article from a comprehensive knowledge base, updated and supplemented with articles reviewed by scientific committees.

Read the article

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.

You do not have access to this resource.

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


The Ultimate Scientific and Technical Reference

A Comprehensive Knowledge Base, with over 1,200 authors and 100 scientific advisors
+ More than 10,000 articles and 1,000 how-to sheets, over 800 new or updated articles every year
From design to prototyping, right through to industrialization, the reference for securing the development of your industrial projects

KEYWORDS

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


This article is included in

Unit operations. Chemical reaction engineering

This offer includes:

Knowledge Base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

Practical Path

Operational and didactic, to guarantee the acquisition of transversal skills

Doc & Quiz

Interactive articles with quizzes, for constructive reading

Subscribe now!

Ongoing reading
Residence time distribution and chemical reactor efficiency