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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

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
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
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 from 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.
microbial fuel cell (MFC), anode distance, anodic volume, flow rate, dilution rate, substrate supply rate, treatment efficiency, power generation
1996-1073
You, Jiseon
1442df08-0ea4-4134-b6be-6b773b05f58d
Greenman, John
eb3d9b82-7cac-4442-9301-f34884ae4a16
Ieropoulos, Ioannis
6c580270-3e08-430a-9f49-7fbe869daf13
You, Jiseon
1442df08-0ea4-4134-b6be-6b773b05f58d
Greenman, John
eb3d9b82-7cac-4442-9301-f34884ae4a16
Ieropoulos, Ioannis
6c580270-3e08-430a-9f49-7fbe869daf13

You, Jiseon, Greenman, John and Ieropoulos, Ioannis (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. Energies, 11 (9). (doi:10.3390/en11092377).

Record type: Article

Abstract

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 from 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.

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Accepted/In Press date: 30 August 2018
Published date: 9 September 2018
Keywords: microbial fuel cell (MFC), anode distance, anodic volume, flow rate, dilution rate, substrate supply rate, treatment efficiency, power generation

Identifiers

Local EPrints ID: 454517
URI: http://eprints.soton.ac.uk/id/eprint/454517
ISSN: 1996-1073
PURE UUID: 6958fe7b-9169-4f01-b876-3212dbc9b132
ORCID for Ioannis Ieropoulos: ORCID iD orcid.org/0000-0002-9641-5504

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Date deposited: 15 Feb 2022 17:33
Last modified: 17 Mar 2024 04:10

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Contributors

Author: Jiseon You
Author: John Greenman

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