Superstructure-based optimization of membrane network systems for multicomponent liquid mixture separation

The design of membrane networks to recover chemical components from liquid mixtures is intricate due to the large number of potential network configurations. Additionally, nonidealities present in liquid mixtures pose difficulties in describing membrane permeators. In this work, we present a framewo...

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Veröffentlicht in:Journal of membrane science Jg. 717; H. C; S. 123574
Hauptverfasser: Verma, Harshit, Jassby, David, Maravelias, Christos T.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Netherlands Elsevier B.V 01.02.2025
Elsevier
Schlagworte:
Global optimization
Mixed-integer nonlinear programming
Separation network synthesis
Mixed-integer nonlinear programming
Global optimization
Separation network synthesis
ISSN:0376-7388
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Zusammenfassung:The design of membrane networks to recover chemical components from liquid mixtures is intricate due to the large number of potential network configurations. Additionally, nonidealities present in liquid mixtures pose difficulties in describing membrane permeators. In this work, we present a framework for membrane network synthesis to recover valuable components from liquid mixtures using mixed-integer nonlinear programming (MINLP). First, to model membrane permeation, we develop a physics-based nonlinear surrogate model for crossflow membranes. Second, we construct a richly connected superstructure to account for all potential membrane network configurations. Third, we demonstrate how the two aforementioned elements can be integrated into a MINLP model to obtain the optimal membrane network configuration. Finally, through various applications, we illustrate how the proposed approach can achieve globally optimal solutions. [Display omitted] •Developed surrogate membrane model for multicomponent liquid mixture separation.•Generated rich-superstructure embedding various membrane network configurations.•Proposed novel MINLP model to obtain globally optimal membrane network.•Applied approach to demonstrate applications in liquid mixture separation problems.
Bibliographie:USDOE Office of Energy Efficiency and Renewable Energy (EERE)
EE0009494
ISSN:0376-7388
DOI:10.1016/j.memsci.2024.123574