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Title: Linking internal resistance with design and operation decisions in microbial electrolysis cells

Abstract

The distribution of internal resistance in most microbial electrolysis cells (MECs) remains unclear, which hinders the optimization and scaling up of the technology. In this study, a method for quantifying the effects of design and operation decisions on internal resistance was applied for the first time to MECs. In typical single chamber MECs with carbon cloth electrodes, the internal resistance was distributed as follows: 210 Ω cm2 for anode, 77 Ω cm2 for cathode, and 11 Ω cm2 M for solution. While varying the spacing of the electrodes (<1 cm) had little effect on MEC performance, inducing fluid motion between the electrodes decreased the internal resistance of all MEC components: 150 Ω cm2 for anode, 47 Ω cm2 for cathode, and 5.3 Ω cm2 M for solution. Adjusting the anode to cathode surface area ratio, to balance the internal resistance distribution, resulted in a significant improvement in performance (47 A/m2 current density, 3.7 L-H2/L-liquid volume/day). These results suggest that the quantification of the internal resistance distribution enables the efficient design and operation of MECs. The parameters obtained in this study were also capable of predicting the performance of MECs from some previous studies, demonstrating the effectiveness of this method.

Authors:
; ; ;
Publication Date:
Research Org.:
Oregon State Univ., Corvallis, OR (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1547665
Alternate Identifier(s):
OSTI ID: 1613420
Grant/Contract Number:  
EE00d07269; EE0007269
Resource Type:
Published Article
Journal Name:
Environment International
Additional Journal Information:
Journal Name: Environment International Journal Volume: 126 Journal Issue: C; Journal ID: ISSN 0160-4120
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Environmental Sciences & Ecology; Internal resistance; Microbial electrolysis cell; Biohydrogen production

Citation Formats

Miller, Andrew, Singh, Lakhveer, Wang, Luguang, and Liu, Hong. Linking internal resistance with design and operation decisions in microbial electrolysis cells. United States: N. p., 2019. Web. doi:10.1016/j.envint.2019.02.056.
Miller, Andrew, Singh, Lakhveer, Wang, Luguang, & Liu, Hong. Linking internal resistance with design and operation decisions in microbial electrolysis cells. United States. doi:10.1016/j.envint.2019.02.056.
Miller, Andrew, Singh, Lakhveer, Wang, Luguang, and Liu, Hong. Wed . "Linking internal resistance with design and operation decisions in microbial electrolysis cells". United States. doi:10.1016/j.envint.2019.02.056.
@article{osti_1547665,
title = {Linking internal resistance with design and operation decisions in microbial electrolysis cells},
author = {Miller, Andrew and Singh, Lakhveer and Wang, Luguang and Liu, Hong},
abstractNote = {The distribution of internal resistance in most microbial electrolysis cells (MECs) remains unclear, which hinders the optimization and scaling up of the technology. In this study, a method for quantifying the effects of design and operation decisions on internal resistance was applied for the first time to MECs. In typical single chamber MECs with carbon cloth electrodes, the internal resistance was distributed as follows: 210 Ω cm2 for anode, 77 Ω cm2 for cathode, and 11 Ω cm2 M for solution. While varying the spacing of the electrodes (<1 cm) had little effect on MEC performance, inducing fluid motion between the electrodes decreased the internal resistance of all MEC components: 150 Ω cm2 for anode, 47 Ω cm2 for cathode, and 5.3 Ω cm2 M for solution. Adjusting the anode to cathode surface area ratio, to balance the internal resistance distribution, resulted in a significant improvement in performance (47 A/m2 current density, 3.7 L-H2/L-liquid volume/day). These results suggest that the quantification of the internal resistance distribution enables the efficient design and operation of MECs. The parameters obtained in this study were also capable of predicting the performance of MECs from some previous studies, demonstrating the effectiveness of this method.},
doi = {10.1016/j.envint.2019.02.056},
journal = {Environment International},
number = C,
volume = 126,
place = {United States},
year = {2019},
month = {5}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.envint.2019.02.056

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Cited by: 7 works
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