Theoretical modeling and experimental validation of transport and separation properties of carbon nanotube electrospun membrane distillation

Jung Gil Lee, Eui-Jong Lee, Sanghyun Jeong, Jiaxin Guo, Alicia Kyoungjin An, Hong Guo, Joonha Kim, TorOve Leiknes, NorEddine Ghaffour

Research output: Contribution to journalArticlepeer-review

89 Scopus citations

Abstract

Developing a high flux and selective membrane is required to make membrane distillation (MD) a more attractive desalination process. Amongst other characteristics membrane hydrophobicity is significantly important to get high vapor transport and low wettability. In this study, a laboratory fabricated carbon nanotubes (CNTs) composite electrospun (E-CNT) membrane was tested and has showed a higher permeate flux compared to poly(vinylidene fluoride-co-hexafluoropropylene) (PH) electrospun membrane (E-PH membrane) in a direct contact MD (DCMD) configuration. Only 1% and 2% of CNTs incorporation resulted in an enhanced permeate flux with lower sensitivity to feed salinity while treating a 35 and 70 g/L NaCl solutions. Experimental results and the mechanisms of E-CNT membrane were validated by a proposed new step-modeling approach. The increased vapor transport in E-CNT membranes could not be elucidated by an enhancement of mass transfer only at a given physico-chemical properties. However, the theoretical modeling approach considering the heat and mass transfers simultaneously enabled to explain successfully the enhanced flux in the DCMD process using E-CNT membranes. This indicates that both mass and heat transfers improved by CNTs are attributed to the enhanced vapor transport in the E-CNT membrane.
Original languageEnglish (US)
Pages (from-to)395-408
Number of pages14
JournalJournal of Membrane Science
Volume526
DOIs
StatePublished - Dec 27 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The research reported in this paper was supported by King Abdullah University of Science and Technology (KAUST), Saudi Arabia, and University Grants Committee of the Hong Kong for Early Career Scheme (UGC ECS/GRF Project number: 9048074).

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