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Design mining microbial fuel cell cascades

Design mining microbial fuel cell cascades
Design mining microbial fuel cell cascades
Microbial fuel cells (MFCs) perform wastewater treatment and electricity production through the conversion of organic matter using microorganisms. For practical applications, it has been suggested that greater efficiency can be achieved by arranging multiple MFC units into physical stacks in a cascade with feedstock flowing sequentially between units. In this article, we investigate the use of cooperative coevolution to physically explore and optimise (potentially) heterogeneous MFC designs in a cascade, i.e. without simulation. Conductive structures are 3D-printed and inserted into the anodic chamber of each MFC unit, augmenting a carbon fibre veil anode and affecting the hydrodynamics, including the feedstock volume and hydraulic retention time, as well as providing unique habitats for microbial colonisation. We show that it is possible to use design mining to identify new conductive inserts that increase both the cascade power output and power density.
3D printing, Cascade stacks, Cooperative coevolution, microbial fuel cell, Shape optimisation
1432-7643
4673-4683
Preen, Richard J.
b60e361d-84b5-4df6-bca2-3c21f7f12f9f
You, Jiseon
1442df08-0ea4-4134-b6be-6b773b05f58d
Bull, Larry
8a148b21-d011-403a-a477-04a1a0f06e52
Ieropoulos, Ioannis A.
6c580270-3e08-430a-9f49-7fbe869daf13
Preen, Richard J.
b60e361d-84b5-4df6-bca2-3c21f7f12f9f
You, Jiseon
1442df08-0ea4-4134-b6be-6b773b05f58d
Bull, Larry
8a148b21-d011-403a-a477-04a1a0f06e52
Ieropoulos, Ioannis A.
6c580270-3e08-430a-9f49-7fbe869daf13

Preen, Richard J., You, Jiseon, Bull, Larry and Ieropoulos, Ioannis A. (2019) Design mining microbial fuel cell cascades. Soft Computing, 23 (13), 4673-4683. (doi:10.1007/s00500-018-3117-x).

Record type: Article

Abstract

Microbial fuel cells (MFCs) perform wastewater treatment and electricity production through the conversion of organic matter using microorganisms. For practical applications, it has been suggested that greater efficiency can be achieved by arranging multiple MFC units into physical stacks in a cascade with feedstock flowing sequentially between units. In this article, we investigate the use of cooperative coevolution to physically explore and optimise (potentially) heterogeneous MFC designs in a cascade, i.e. without simulation. Conductive structures are 3D-printed and inserted into the anodic chamber of each MFC unit, augmenting a carbon fibre veil anode and affecting the hydrodynamics, including the feedstock volume and hydraulic retention time, as well as providing unique habitats for microbial colonisation. We show that it is possible to use design mining to identify new conductive inserts that increase both the cascade power output and power density.

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More information

Published date: July 2019
Keywords: 3D printing, Cascade stacks, Cooperative coevolution, microbial fuel cell, Shape optimisation

Identifiers

Local EPrints ID: 456211
URI: http://eprints.soton.ac.uk/id/eprint/456211
ISSN: 1432-7643
PURE UUID: f8920113-21f9-426c-8a03-24d37f776c8e
ORCID for Ioannis A. Ieropoulos: ORCID iD orcid.org/0000-0002-9641-5504

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Date deposited: 26 Apr 2022 17:48
Last modified: 17 Mar 2024 04:10

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Contributors

Author: Richard J. Preen
Author: Jiseon You
Author: Larry Bull

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