Novel analytical microbial fuel cell design for rapid in situ optimisation of dilution rate and substrate supply rate, by flow, volume control and anode placement

How to cite this record

You, J. and Greenman, J. and Ieropoulos, I. (2018) Novel analytical microbial fuel cell design for rapid in situ optimisation of dilution rate and substrate supply rate, by flow, volume control and anode placement. UWE, http://researchdata.uwe.ac.uk/280.

UWE Harvard citation (for UWE users)

You, J. and Greenman, J. and Ieropoulos, I. (2018) Novel analytical microbial fuel cell design for rapid in situ optimisation of dilution rate and substrate supply rate, by flow, volume control and anode placement. UWE data repository [online]. Available from: http://researchdata.uwe.ac.uk/280 [Accessed 13 December 2018].

Project Title

Novel analytical microbial fuel cell design for rapid in situ optimisation of dilution rate and substrate supply rate, by flow, volume control and anode placement

Brief summary of project

A new analytical design of continuously-fed microbial fuel cell was built in triplicate in order to investigate relations and effects of various operating parameters such as flow rate and substrate supply rate, in terms of power output and chemical oxygen demand (COD) removal efficiency. This novel design enables the microbial fuel cell (MFC) systems to be easily adjusted in situ by changing anode distance to the membrane or anodic volume without the necessity of building many trial-and-error prototypes for each condition. A maximum power output of 20.7 ± 1.9 µW was obtained with an optimal reactor configuration; 2 mM acetate concentration in the feedstock coupled with a flow rate of 77 mL h− 1, an anodic volume of 10 mL and an anode electrode surface area of 70 cm2 (2.9 cm2 projected area), using a 1 cm anode distance tofrom the membrane. COD removal almost showed the reverse pattern with power generation, which suggests trade-off correlation between these two parameters, in this particular example. This novel design may be most conveniently employed for generating empirical data for testing and creating new MFC designs with appropriate practical and theoretical modelling.

Associated Publication Links

http://eprints.uwe.ac.uk/37808/ (UWE Research Repository)

Publisher

UWE

Details

Item Type: Dataset
Language of the Dataset Collection: English
Creators: You, J. and Greenman, J. and Ieropoulos, I.
UWE Faculty/Department: Faculty of Environment and Technology > Department of Engineering Design and Mathematics
UWE Research Centres/Institutes: Faculty of Environment and Technology > Bristol Bio-Energy Centre
Depositing User: Dr J. You
Date Deposited: 27 Sep 2018 09:28
Last Modified: 27 Sep 2018 09:58

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