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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Veröffentlicht in:	Computers & chemical engineering Jg. 154; S. 107473
Hauptverfasser:	Pedrozo, H.A., Rodriguez Reartes, S.B., Bernal, D.E., Vecchietti, A.R., Diaz, M.S., Grossmann, I.E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2021
Schlagworte:	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-Zugang:	Volltext
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