Ismail, M.S. orcid.org/0000-0002-9539-8925, Mohamed, A.M., Poggio, D. et al. (1 more author) (2021) Direct contact membrane distillation : a sensitivity analysis and an outlook on membrane effective thermal conductivity. Journal of Membrane Science, 624. 119035. ISSN 0376-7388
Abstract
A rigorous and high-fidelity two-dimensional numerical model for a direct contact membrane distillation (DCMD) module has been developed. The developed model incorporates all the key physics governing the transport phenomena taking place within the membrane distillation (MD) module. The spatial variation of the physical properties of the fluids flowing in the channels and the membrane with temperature has been captured. The model has been used to investigate the sensitivity of the key performance indicators or KPIs (i.e. the transmembrane flux, the thermal efficiency and the temperature polarisation coefficient) to ten key operational conditions and membrane characteristics. The models used to estimate the effective thermal conductivity of the membranes have been discussed and it was shown that more appropriate models are required to accurately estimate the latter parameter and, to this end, a new model has been proposed.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier. This is an author produced version of a paper subsequently published in Journal of Membrane Science. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Direct contact membrane distillation; Numerical model; Key performance indicators; Sensitivity analysis; Membrane effective thermal conductivity |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Funding Information: | Funder Grant number Institutional Links Newton-Mosharafa Fund 261749278 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Jan 2021 11:04 |
Last Modified: | 04 Jan 2022 01:38 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.memsci.2020.119035 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:170052 |