Topology optimisation of biphasic adsorbent beds for gas storage
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Author(s)
Amigo, RCR
Prado, DS
Paiva, JL
Hewson, RW
Silva, ECN
Type
Journal Article
Abstract
Adsorption is a retention mechanism of fluid molecules on solid surfaces and presents a wide range of applications, such as fuel storage, refrigeration and separation processes. This work describes the modelling of gas adsorption on porous media and presents an optimisation approach for the design of adsorption systems based on biphasic adsorbent beds by topology optimisation. A comprehensive formulation for the adsorption phenomenon is presented, detailing the derivation of governing equations and respective weak forms and discretisation for the implementation of the finite element method (FEM). A new topology optimisation material model based on offset hyperbolic tangents is introduced. The derivation of sensitivities is presented in detail, based on a transient adjoint problem. A diverse set of optimised adsorbed natural gas (ANG) tanks, considering real material properties of activated carbon and steel, is presented. Results indicate the suitability of the method in optimising the distribution of phases across adsorbent beds and show that biphasic ANG tanks can perform significantly better than traditional tanks.
Date Issued
2018-12
Date Acceptance
2018-09-19
Citation
Structural and Multidisciplinary Optimization, 2018, 58 (6), pp.2431-2454
ISSN
1615-147X
Publisher
Springer Verlag
Start Page
2431
End Page
2454
Journal / Book Title
Structural and Multidisciplinary Optimization
Volume
58
Issue
6
Copyright Statement
© The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
License URL
Subjects
09 Engineering
01 Mathematical Sciences
Design Practice & Management
Publication Status
Published
Date Publish Online
2018-10-27
