Gopinath, S. orcid.org/0009-0004-2872-2440 and Adjiman, C.S. orcid.org/0000-0002-4573-7722 (2025) Superstructure optimization with rigorous models via an exact reformulation. Computers & Chemical Engineering, 194. 108972. ISSN 0098-1354
Abstract
The applicability of superstructure optimization to process synthesis is often limited to simple models and flowsheets. The state operator network (SON) (Smith and Pantelides, 1995) overcomes some limitations via a mixer–splitter network, allowing the use of rigorous unit models. However, setting flowrates to zero for non-selected units can result in numerical issues. Here, the modified state operator network (MSON), a new exact reformulation with modified mixers and splitters, is introduced. When a unit is deselected, a fictitious, strictly positive, mixer inlet flow ensures the unit model is easily solved. A corresponding fictitious splitter outlet counteracts this inlet, resulting in correct flowsheet behaviour. When applied to a toy flowsheet, the MSON outperforms standard formulations. When applied to the synthesis of a reactor–separator network and to a challenging counter-current column synthesis problem, the MSON offers a systematic and robust approach to superstructure optimization.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Computers & Chemical Engineering is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Control Engineering, Mechatronics and Robotics; Engineering |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Chemical, Materials and Biological Engineering |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Mar 2025 11:32 |
Last Modified: | 07 Mar 2025 16:42 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.compchemeng.2024.108972 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:224073 |
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