LAPSE:2018.0789
Published Article
LAPSE:2018.0789
Power Generation from Concentration Gradient by Reverse Electrodialysis in Dense Silica Membranes for Microfluidic and Nanofluidic Systems
Sang Woo Lee, Hyun Jung Kim, Dong-Kwon Kim
October 23, 2018
In this study, we investigate power generation by reverse electrodialysis in a dense silica membrane that is between two NaCl solutions with various combinations of concentrations. Each silica membrane is fabricated by depositing a silica layer on a porous alumina substrate via chemical vapor deposition. The measured potential-current (V-I) characteristics of the silica membrane are used to obtain the transference number, diffusion potential, and electrical resistance. We develop empirical correlations for the transference number and the area-specific resistance, and present the results of power generation by reverse electrodialysis using the fabricated silica membranes. The highest measured power density is 0.98 mW/m². In addition, we develop a contour map of the power density as a function of NaCl concentrations on the basis of the empirical correlations. The contour map shows that a power output density of 1.2 mW/m² is achievable with the use of silica membranes and is sufficient to drive nanofluidic and microfluidic systems. The dense silica membrane has the potential for use in micro power generators in nanofluidic and microfluidic systems.
Keywords
concentration gradient, power generation, reverse electrodialysis, silica membrane
Subject
Suggested Citation
Lee SW, Kim HJ, Kim DK. Power Generation from Concentration Gradient by Reverse Electrodialysis in Dense Silica Membranes for Microfluidic and Nanofluidic Systems. (2018). LAPSE:2018.0789
Author Affiliations
Lee SW: Department of Mechanical Engineering, Ajou University, Suwon 443-749, Korea
Kim HJ: Department of Mechanical Engineering, Ajou University, Suwon 443-749, Korea
Kim DK: Department of Mechanical Engineering, Ajou University, Suwon 443-749, Korea
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Journal Name
Energies
Volume
9
Issue
1
Article Number
E49
Year
2016
Publication Date
2016-01-15
Published Version
ISSN
1996-1073
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PII: en9010049, Publication Type: Journal Article
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LAPSE:2018.0789
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doi:10.3390/en9010049
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Oct 23, 2018
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CC BY 4.0
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Oct 23, 2018
 
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Original Submitter
Calvin Tsay
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