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Functionally graded optimisation of adsorption systems with phase change materials
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Prado2021_Article_FunctionallyGradedOptimisation.pdf | Published version | 5.08 MB | Adobe PDF | View/Open |
Title: | Functionally graded optimisation of adsorption systems with phase change materials |
Authors: | Prado, DS Amigo, RCR Hewson, RW Silva, ECN |
Item 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. |
Issue Date: | 20-May-2021 |
Date of Acceptance: | 31-Mar-2021 |
URI: | http://hdl.handle.net/10044/1/89426 |
DOI: | 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/. |
Sponsor/Funder: | BG International Limited |
Funder's Grant Number: | PO 4513327933 |
Keywords: | Design Practice & Management 01 Mathematical Sciences 09 Engineering |
Publication Status: | Published |
Open Access location: | https://doi.org/10.1007/s00158-021-02918-y |
Online Publication Date: | 2021-05-20 |
Appears in Collections: | Aeronautics Faculty of Engineering |
This item is licensed under a Creative Commons License