On the derivation of graphically inspired feasibility constraints for distillation network synthesis

We propose the integration of simplified graphically inspired feasibility constraints into optimization‐based models for distillation network synthesis. The approach facilitates the use of surrogate, potentially data‐based, distillation column models while considering feasibility in a computationall...

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Veröffentlicht in:AIChE journal Jg. 68; H. 7
Hauptverfasser: Ryu, Joonjae, Maravelias, Christos T.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.07.2022
American Institute of Chemical Engineers
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ISSN:0001-1541, 1547-5905
Online-Zugang:Volltext
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Zusammenfassung:We propose the integration of simplified graphically inspired feasibility constraints into optimization‐based models for distillation network synthesis. The approach facilitates the use of surrogate, potentially data‐based, distillation column models while considering feasibility in a computationally efficient manner. The proposed approach can aid the formulation of efficient approaches for preliminary distillation network synthesis.
Bibliographie:ObjectType-Article-1
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content type line 14
ISSN:0001-1541
1547-5905
DOI:10.1002/aic.17740