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  5. Functionally graded optimisation of adsorption systems with phase change materials
 
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Functionally graded optimisation of adsorption systems with phase change materials
File(s)
Prado2021_Article_FunctionallyGradedOptimisation.pdf (4.96 MB)
Published version
OA Location
https://doi.org/10.1007/s00158-021-02918-y
Author(s)
Prado, DS
Amigo, RCR
Hewson, RW
Silva, ECN
Type
Journal Article
Abstract
Adsorption phenomena are encountered in several engineering applications. One of its uses is in the storage and transport of gas in the form of adsorption tanks. The exothermic nature of the adsorption process decreases adsorption capacity presenting an impetus to understand the thermal characteristics of the gas storage process. Studies using mixtures of phase change materials and adsorbents in adsorption tanks demonstrate potential improvements in the adsorption capacity of the tanks. They also show that the distribution of phase change materials and adsorbent are important. Thus, this work presents two approaches for optimising the adsorbent domain. The first is to use a semi-analytic model to determine the best homogeneous material concentration for the adsorbent and phase change material for the vessel composition. The other is to use a 2D axisymmetric model to perform FGM optimisation to distribute material in the tank. Results for both models are presented and discussed for different conditions. The study shows that, for the cylindrical geometry, FGM optimisation is always, at least, marginally better than the homogeneous distribution from the semi-analytic model. However, FGM optimisation demands more computing time increases the complexity of implementation and results assembling. The semi-analytic approach is a possible alternative for optimising adsorption systems with phase change material mixed with adsorbents.
Date Issued
2021-05-20
Date Acceptance
2021-03-31
Citation
Structural and Multidisciplinary Optimization, 2021, 64, pp.473-503
URI
http://hdl.handle.net/10044/1/89426
URL
https://link.springer.com/article/10.1007%2Fs00158-021-02918-y
DOI
https://www.dx.doi.org/10.1007/s00158-021-02918-y
ISSN
1615-147X
Publisher
Springer Science and Business Media LLC
Start Page
473
End Page
503
Journal / Book Title
Structural and Multidisciplinary Optimization
Volume
64
Copyright Statement
© The Author(s) 2021.
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
http://creativecommons.org/licenses/by/4.0/
Sponsor
BG International Limited
Identifier
https://link.springer.com/article/10.1007%2Fs00158-021-02918-y
Grant Number
PO 4513327933
Subjects
Design Practice & Management
01 Mathematical Sciences
09 Engineering
Publication Status
Published
Date Publish Online
2021-05-20
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