Hybrid model generation for superstructure optimization with Generalized Disjunctive Programming

•Novel iterative procedure to generate hybrid models within an optimization framework to solve design problems.•Hybrid models based on first principle and surrogate models (SMs) and represent potential plant process units embedded within a superstructure representation•Iterative procedure: generatio...

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Bibliographic Details

Published in:	Computers & chemical engineering Vol. 154; p. 107473
Main Authors:	Pedrozo, H.A., Rodriguez Reartes, S.B., Bernal, D.E., Vecchietti, A.R., Diaz, M.S., Grossmann, I.E.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2021
Subjects:	GDP Hybrid models Logic-based Outer Approximation algorithm propylene production State equipment network Superstructure optimization GDP Superstructure optimization propylene production Hybrid models Logic-based Outer Approximation algorithm State equipment network
ISSN:	0098-1354, 1873-4375
Online Access:	Get full text
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