Scaleup of Batch Reactors Using Phenomenological-Based Models

This work presents a methodology for scaling up batch processes (BPs). First, the most popular scaleup methods differentiating batch from continuous processing are reviewed, revealing that traditional scaleup approaches do not consider BP characteristics and that many particular successful cases are...

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Bibliographic Details
Published in:Industrial & engineering chemistry research 2014-06, Vol.53 (22), p.9439-9453
Main Authors: Monsalve-Bravo, Gloria M, Moscoso-Vasquez, Hilda M, Alvarez, Hernan
Format: Article
Language:English
Subjects:
Approximation
Dynamics
Industrial engineering
Mathematical analysis
Mathematical models
Methodology
Reactors
Scaling up
Suspension polymerization
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Summary:This work presents a methodology for scaling up batch processes (BPs). First, the most popular scaleup methods differentiating batch from continuous processing are reviewed, revealing that traditional scaleup approaches do not consider BP characteristics and that many particular successful cases are reported, but no formal procedure has been developed for scaling up these processes. Considering these facts, a novel scaleup procedure is presented, in which a process phenomenological-based semiphysical model (PBSM) and its Hankel matrix are used for computing the state impactability index (SII) that allow the designer to determine (i) the main process dynamics at each stage of the batch and (ii) the critical point of the operating trajectory (OT) at which the batch must be scaled up. Finally, the methodology is applied to a batch suspension polymerization reactor, comparing the scaled unit design using this approximation and a traditional method.
ISSN:0888-5885
1520-5045
DOI:10.1021/ie500587r