Computational fluid dynamics modeling for performance assessment of permeate gap membrane distillation
Name
PGMD Study-manuscript_revised.pdf
Description
Accepted version
Size
3.75 MB
Format
Adobe PDF
Checksum (MD5)
98ad30b286f1fd5072bc2d5ee6f72209
Author(s)
Yazgan-Birgi, Pelin
Hassan Ali, Mohamed I.
Swaminathan, Jaichander
Lienhard, John H
Arafat, Hassan A.
Date Issued
December 2018
Journal
Journal of Membrane Science
Publisher
Elsevier BV
Citation
Yazgan-Birgi, Pelin et al. "Computational fluid dynamics modeling for performance assessment of permeate gap membrane distillation." Journal of Membrane Science 568 (December 2018): 55-66 © 2018 Elsevier B.V.
Version
Author's final manuscript
Abstract
The critical factors and interactions which affect the module-level performance of permeate gap membrane distillation (PGMD) were investigated. A three-dimensional computational fluid dynamics (CFD) model was developed for the PGMD configuration, and the model was validated using experimental data. The realizable k- ε turbulence model was applied for the flow in the feed and coolant channels. A two-level full factorial design tool was utilized to plan additional simulation trials to examine the effects of four selected parameters (i.e., factors) on permeate flux and thermal efficiency, both of which represent performance indicators of PGMD. Permeate gap conductivity (kgap), permeate gap thickness (δgap), module length (Lmodule), and membrane distillation coefficient (Bm) were the selected factors for the analysis. The effect of each factor and their interactions were evaluated. Bm was found to be the most influential factor for both performance indicators, followed by kgap and δgap. The factorial analysis indicated that the influence of each variable depends on its interactions with other factors. The effect of kgap was more significant for membranes with higher Bm because the gap resistance becomes dominant at high Bm. Similarly, δgap is inversely proportional to the permeate flux and only significant for membranes with high Bm. Keywords: Permeate gap membrane distillation (PGMD); Computational fluid dynamics (CFD); Factorial analysis; Permeate gap conductivity; Permeate gap thickness
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Rohsenow Kendall Heat Transfer Laboratory (Massachusetts Institute of Technology)
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1016/j.memsci.2018.09.061
