Adaptive mesh refinement of gas-liquid flow on an inclined plane

Date published

2013-10-03

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Publisher

Elsevier

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Type

Article

ISSN

0098-1354

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Citation

J.J. Cooke, L.M. Armstrong, K.H. Luo, S. Gu, Adaptive mesh refinement of gas–liquid flow on an inclined plane. Computers & Chemical Engineering, Volume 60, January 2014, pp. 297-306

Abstract

Carbon Capture & Storage (CCS) is one of the various methods that can be used to reduce the carbon footprint of the energy sector. The efficiency with which CO2 is absorbed from flue gas using packed columns is highly dependent on the structure of the liquid films that form on the packing materials. This work examines the hydrodynamics of these liquid films using the CFD solver, OpenFOAM to solve two-phase, isothermal, non-reacting flow using the volume-of-fluid (VOF) method. Local adaptive mesh refinement (AMR) is used to ensure improved resolution of the geometrical grids at the gas–liquid interface. Comparisons are made between the solutions obtained using AMR and those obtained using highly refined static meshes. It was observed that local AMR produced results with much better correlation to experimental data.

Description

Software Description

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Github

Keywords

CCS, AMR, Liquid film flow, Packed columns, Wetted area

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Attribution-Non-Commercial-No Derivitives 3.0 Unported (CC BY-NC-ND 3.0). You are free to: Share — copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
NOTICE: this is the author’s version of a work that was accepted for publication in Energy Conversion and Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy Conversion and Management, VOL 82, 03/04/2014 DOI 10.1016/j.enconman.2014.03.018

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