Thermal stability criterion integrated in model predictive control for batch reactors
Publication Date
2018-10Journal Title
Chemical Engineering Science
ISSN
0009-2509
Publisher
Elsevier
Volume
188
Pages
192-207
Language
eng
Type
Article
This Version
VoR
Metadata
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Kahm, W., & Vassiliadis, V. (2018). Thermal stability criterion integrated in model predictive control for batch reactors. Chemical Engineering Science, 188 192-207. https://doi.org/10.1016/j.ces.2018.05.032
Abstract
Thermal runaways can have a significant impact on the performance
and normal operation of reaction processes, causing safety issues
and financial loss, which hinder the intensification of such processes.
More specifically, a control system that does not possess proper detection
mechanisms of the boundary of stability will by necessity be overly
conservative. This leads to poorer performance and the inability to
intensify the process, i.e. to reduce process times for example
and also to achieve higher yields.
For the intensification of batch processes a stability criterion,
based on the divergence criterion, is presented. The derivation of
the stability criterion and a comparison to the original divergence
criterion is shown for several batch reactions. It is shown that the
stability criterion classifies the system behaviour more reliably
for the case studies considered. This stability criterion is embedded
in Model Predictive Control, which is a novel control scheme. This
scheme allows the controlled increase of the reaction temperature
while keeping the processes in a stable region, hence reducing the
risk of thermal runaways. This control system enables batch processes
to achieve a target conversion in a reduced completion time of reaction
and an intensification of batch processes.
Keywords
thermal stability criterion, thermal runaway detection, model predictive control, intensification of batch processes
Sponsorship
Studentship from Department of Chemical Engineering/EPSRC
Funder references
EPSRC (1776365)
Embargo Lift Date
2100-01-01
Identifiers
External DOI: https://doi.org/10.1016/j.ces.2018.05.032
This record's URL: https://www.repository.cam.ac.uk/handle/1810/283219
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