Integrated membrane material design and system synthesis

•Proposed optimization-based approach to synthesize membrane systems.•Considered membrane system synthesis and material design simultaneously.•Approach accounts for trade-offs between material properties and cost.•Framework leads to the design of better membrane systems. In designing membrane system...

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Bibliographic Details
Published in:Chemical engineering science Vol. 269; no. C; p. 118406
Main Authors: Taifan, Garry S.P., Maravelias, Christos T.
Format: Journal Article
Language:English
Published: United Kingdom Elsevier Ltd 05.04.2023
Elsevier
Subjects:
Global optimization
Membrane systems
Multicomponent gas separation
Process synthesis
Global optimization
Process synthesis
Membrane systems
Multicomponent gas separation
ISSN:0009-2509, 1873-4405
Online Access:Get full text
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Summary:•Proposed optimization-based approach to synthesize membrane systems.•Considered membrane system synthesis and material design simultaneously.•Approach accounts for trade-offs between material properties and cost.•Framework leads to the design of better membrane systems. In designing membrane systems, the synergy between membrane materials and the process design is often overlooked. We present a mixed-integer nonlinear programming (MINLP) model for synthesizing membrane systems while simultaneously designing the respective membrane materials for multicomponent gas separation. The approach considers superstructure representations for systems with: (1) same, (2) potentially different, and (3) property-targeting membrane materials. In the first two systems, the selection of membrane material is a decision, while in the final type, membrane permeances are subject to optimization. Physics-based surrogate models are used to describe permeation in crossflow and countercurrent flow permeators. We show that, through a case study of biogas upgrading, our approach obtains high quality solutions. Furthermore, we use the proposed approach while considering permeance-based production cost to find the optimal membrane.
Bibliography:SC0018409
USDOE Office of Science (SC), Biological and Environmental Research (BER)
ISSN:0009-2509
1873-4405
DOI:10.1016/j.ces.2022.118406