Advanced

Focusing on the process diagnosis of anaerobic fermentation by a novel sensor system combining microbial fuel cell, gas flow meter and pH meter

Liu, Zhidan; Liu, Jing LU ; Li, Baoming; Zhang, Yuanhui and Xing, Xin-Hui (2014) In International Journal of Hydrogen Energy 39(25). p.13658-13664
Abstract
Process diagnosis is essential to ensure anaerobic fermentation stable and efficient. Here, a novel sensor system combining microbial fuel cell (MFC), gas flow meter and pH meter was developed to evaluate its feasibility for probing the anaerobic process established on a model high-rate bioreactor. Repeated transient responses of electrical signal, proton concentration, and gas flow rate, were observed subject to external disturbances. The transient response lasted from <1 h to 6 h. In addition, MFC obtained compatible signal variations with other sensors, and biofilm MFC (MFCBiofilm) resulted in better agreements than control MFC (MFCControl). These results revealed that 1) the composite sensor system was capable to probe anaerobic... (More)
Process diagnosis is essential to ensure anaerobic fermentation stable and efficient. Here, a novel sensor system combining microbial fuel cell (MFC), gas flow meter and pH meter was developed to evaluate its feasibility for probing the anaerobic process established on a model high-rate bioreactor. Repeated transient responses of electrical signal, proton concentration, and gas flow rate, were observed subject to external disturbances. The transient response lasted from <1 h to 6 h. In addition, MFC obtained compatible signal variations with other sensors, and biofilm MFC (MFCBiofilm) resulted in better agreements than control MFC (MFCControl). These results revealed that 1) the composite sensor system was capable to probe anaerobic process, suggesting a novel approach for process analysis and diagnosis of biogas or biohydrogen production; 2) the variations of sensor signals might provide more valuable information for process diagnosis than sensor signals themselves. Copyright (C) 2014, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Anaerobic fermentation, Gas biofuels, Sensor signal variations, Microbial fuel cell
in
International Journal of Hydrogen Energy
volume
39
issue
25
pages
13658 - 13664
publisher
Elsevier
external identifiers
  • wos:000341343200078
  • scopus:84905904785
ISSN
1879-3487
DOI
10.1016/j.ijhydene.2014.04.076
language
English
LU publication?
yes
id
271ee751-fb01-4009-bcb7-f141cc5f6ee3 (old id 4714015)
date added to LUP
2014-11-06 13:41:34
date last changed
2017-10-01 04:23:38
@article{271ee751-fb01-4009-bcb7-f141cc5f6ee3,
  abstract     = {Process diagnosis is essential to ensure anaerobic fermentation stable and efficient. Here, a novel sensor system combining microbial fuel cell (MFC), gas flow meter and pH meter was developed to evaluate its feasibility for probing the anaerobic process established on a model high-rate bioreactor. Repeated transient responses of electrical signal, proton concentration, and gas flow rate, were observed subject to external disturbances. The transient response lasted from &lt;1 h to 6 h. In addition, MFC obtained compatible signal variations with other sensors, and biofilm MFC (MFCBiofilm) resulted in better agreements than control MFC (MFCControl). These results revealed that 1) the composite sensor system was capable to probe anaerobic process, suggesting a novel approach for process analysis and diagnosis of biogas or biohydrogen production; 2) the variations of sensor signals might provide more valuable information for process diagnosis than sensor signals themselves. Copyright (C) 2014, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.},
  author       = {Liu, Zhidan and Liu, Jing and Li, Baoming and Zhang, Yuanhui and Xing, Xin-Hui},
  issn         = {1879-3487},
  keyword      = {Anaerobic fermentation,Gas biofuels,Sensor signal variations,Microbial fuel cell},
  language     = {eng},
  number       = {25},
  pages        = {13658--13664},
  publisher    = {Elsevier},
  series       = {International Journal of Hydrogen Energy},
  title        = {Focusing on the process diagnosis of anaerobic fermentation by a novel sensor system combining microbial fuel cell, gas flow meter and pH meter},
  url          = {http://dx.doi.org/10.1016/j.ijhydene.2014.04.076},
  volume       = {39},
  year         = {2014},
}