Towards the optimisation of ceramic-based microbial fuel cells: A three-factor three-level response surface analysis design
Towards the optimisation of ceramic-based microbial fuel cells: A three-factor three-level response surface analysis design
Microbial fuel cells (MFCs) are an environment-friendly technology, which addresses two of the most important environmental issues worldwide: fossil fuel depletion and water scarcity. Modelling is a useful tool that allows us to understand the behaviour of MFCs and predict their performance, yet the number of MFC models that could accurately inform a scale-up process, is low. In this work, a three-factor three-level Box–Behnken design is used to evaluate the influence of different operating parameters on the performance of air-breathing ceramic-based MFCs fed with human urine. The statistical analysis of the 45 tests run shows that both anode area and external resistance have more influence on the power output than membrane thickness, in the range studied. The theoretical optimal conditions were found at a membrane thickness of 1.55 mm, an external resistance of 895.59 Ω and an anode area of 165.72 cm2, corresponding to a maximum absolute power generation of 467.63 μW. The accuracy of the second order model obtained is 88.6%. Thus, the three-factor three-level Box–Behnken-based model designed is an effective tool which provides key information for the optimisation of the energy harvesting from MFC technology and saves time in terms of experimental work.
Microbial fuel cells, Modelling, Response Surface Methodology, Ceramic membranes, Bioenergy
119-124
Salar-Garcia, M. J.
1a342bfd-1231-4c7e-90f3-3f50788e2d17
de Ramon-Fernandez, A.
7b8eb9a4-728b-419b-b3ed-7a2ef4b43620
Ortiz-Martinez, V. M.
0e3b1a7f-9c54-43c5-9e11-7a815756f41a
Ruiz-Fernandez, D.
286d7da2-ac21-4b44-bb3d-9e5b8ff6b6f6
Ieropoulos, I.
6c580270-3e08-430a-9f49-7fbe869daf13
15 April 2019
Salar-Garcia, M. J.
1a342bfd-1231-4c7e-90f3-3f50788e2d17
de Ramon-Fernandez, A.
7b8eb9a4-728b-419b-b3ed-7a2ef4b43620
Ortiz-Martinez, V. M.
0e3b1a7f-9c54-43c5-9e11-7a815756f41a
Ruiz-Fernandez, D.
286d7da2-ac21-4b44-bb3d-9e5b8ff6b6f6
Ieropoulos, I.
6c580270-3e08-430a-9f49-7fbe869daf13
Salar-Garcia, M. J., de Ramon-Fernandez, A., Ortiz-Martinez, V. M., Ruiz-Fernandez, D. and Ieropoulos, I.
(2019)
Towards the optimisation of ceramic-based microbial fuel cells: A three-factor three-level response surface analysis design.
Biochemical Engineering Journal, 144, .
(doi:10.1016/j.bej.2019.01.015).
Abstract
Microbial fuel cells (MFCs) are an environment-friendly technology, which addresses two of the most important environmental issues worldwide: fossil fuel depletion and water scarcity. Modelling is a useful tool that allows us to understand the behaviour of MFCs and predict their performance, yet the number of MFC models that could accurately inform a scale-up process, is low. In this work, a three-factor three-level Box–Behnken design is used to evaluate the influence of different operating parameters on the performance of air-breathing ceramic-based MFCs fed with human urine. The statistical analysis of the 45 tests run shows that both anode area and external resistance have more influence on the power output than membrane thickness, in the range studied. The theoretical optimal conditions were found at a membrane thickness of 1.55 mm, an external resistance of 895.59 Ω and an anode area of 165.72 cm2, corresponding to a maximum absolute power generation of 467.63 μW. The accuracy of the second order model obtained is 88.6%. Thus, the three-factor three-level Box–Behnken-based model designed is an effective tool which provides key information for the optimisation of the energy harvesting from MFC technology and saves time in terms of experimental work.
Text
1-s2.0-S1369703X19300154-main
- Version of Record
More information
Published date: 15 April 2019
Keywords:
Microbial fuel cells, Modelling, Response Surface Methodology, Ceramic membranes, Bioenergy
Identifiers
Local EPrints ID: 453977
URI: http://eprints.soton.ac.uk/id/eprint/453977
ISSN: 1369-703X
PURE UUID: 7f9cda1e-0013-4131-9733-51622dcf27fe
Catalogue record
Date deposited: 27 Jan 2022 17:30
Last modified: 17 Mar 2024 04:10
Export record
Altmetrics
Contributors
Author:
M. J. Salar-Garcia
Author:
A. de Ramon-Fernandez
Author:
V. M. Ortiz-Martinez
Author:
D. Ruiz-Fernandez
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics