Journal article 947 views 396 downloads
Electrically conductive membranes for in situ fouling detection using impedance spectroscopy in membrane distillation
Journal of Membrane Science, Volume: 556, Pages: 66 - 72
Swansea University Author: Nidal Hilal
-
PDF | Accepted Manuscript
Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND).
Download (1.32MB)
DOI (Published version): 10.1016/j.memsci.2018.03.069
Abstract
Online monitoring of fouling in desalination processes enables early and appropriate action for fouling control. This study demonstrates the use of Electrochemical Impedance Spectroscopy (EIS) to electrically conductive membranes for online monitoring of fouling by eliminating the need for external...
Published in: | Journal of Membrane Science |
---|---|
ISSN: | 0376-7388 |
Published: |
2018
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa39192 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Abstract: |
Online monitoring of fouling in desalination processes enables early and appropriate action for fouling control. This study demonstrates the use of Electrochemical Impedance Spectroscopy (EIS) to electrically conductive membranes for online monitoring of fouling by eliminating the need for external electrodes and/or canary cells. Electrically conductive membranes are prepared by incorporation of silica in carbon nanostructures and subsequent fluorination to yield hydrophobic membranes. These membranes are applied to direct contact membrane distillation with 99.9% salt rejection and a flux of 4.3 LMH. EIS is used for online monitoring of inorganic fouling on the membrane surface during the MD process. Impedance spectra taken over a duration of 15 hours indicated that impedance in the low frequency (<100 Hz) region gradually decreased with fouling early on, and increased towards the end. Impedance-based monitoring is more sensitive to changes in the system than monitoring of flux and permeate conductivity. It shows the capability of EIS as a sensitive online monitoring tool for fouling in MD. |
---|---|
College: |
Faculty of Science and Engineering |
Start Page: |
66 |
End Page: |
72 |