Resolution and reduction of a non-linear energy storage model by adsorption on zeolites

Renewable energy sources will play a key role in meeting future energy demand. One major criticism of those sources stands in their intermittency requiring both a more effective management of demand and efficient storage systems. We focus on thermo-chemical storage by adsorption-desorption mechanism. Eco friendly, economically viable and suitable with solar energy temperature range made the zeolite 13X - water pair ideal for buildings applications. We built an energy storage model in a cylindrical adsorber which contains the mentioned zeolite13X - water pair. Energy storage has been modeled to present coupled heat and mass transfers thanks to a bi-dimensional model. The numerical simulations lead to the time-space evolution of the heating fluid and adsorbent temperatures and pressure. These knowledge models include typically a great amount of coupled differential equations to solve and strong non linearities. The originality of this study is to build a knowledge model of coupled heat and mass transfer in an adsorber and use the Proper Orthogonal Decomposition (POD) and Galerkin projection to build a minimal model of lower dimension without significant loose of accuracy.

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Source https://theses.hal.science/tel-00821894
Author Duquesne, Marie
Maintainer CCSD
Last Updated May 11, 2026, 04:08 (UTC)
Created May 11, 2026, 04:08 (UTC)
Identifier NNT: 2013BOR14750
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Institut de Mécanique et d'Ingénierie de Bordeaux (I2M-BX) ; Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies
creator Duquesne, Marie
date 2013-01-11T00:00:00
harvest_object_id f0991f83-f125-48e1-818a-e58d17c908b6
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-04-23T00:00:00
set_spec type:THESE