A Novel Approach for Reactor Network Synthesis Using Knowledge Discovery and Optimization Techniques

We present a novel framework for the optimization and synthesis of complex reactor networks based on systems knowledge in an effort to overcome convergence and computational speed limitations associated with current reactor network synthesis technologies. Reaction pathway analysis uses data mining t...

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Bibliographic Details
Published in:Chemical engineering research & design 2004-08, Vol.82 (8), p.952-960
Main Authors: Ashley, V.M., Linke, P.
Format: Article
Language:English
Subjects:
Applied sciences
Chemical engineering
data mining
Exact sciences and technology
reactor network synthesis
Reactors
superstructure optimization
systems knowledge
tabu search
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Summary:We present a novel framework for the optimization and synthesis of complex reactor networks based on systems knowledge in an effort to overcome convergence and computational speed limitations associated with current reactor network synthesis technologies. Reaction pathway analysis uses data mining techniques for knowledge acquisition to develop design rules which are subsequently used to focus superstructure optimization using meta-heuristics in the form of tabu search. The paper focuses on the components of the framework and presents successful applications to previously studied reactor network optimization problems.
ISSN:0263-8762
DOI:10.1205/cerd.82.8.952.41547