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Towards the optimisation of ceramic-based microbial fuel cells: A three-factor three-level response surface analysis design

Salar-Garc�a, M. J.; de Ram�n-Fern�ndez, A.; Ortiz-Mart�nez, V. M.; Ruiz-Fern�ndez, D.; Ieropoulos, I.

Towards the optimisation of ceramic-based microbial fuel cells: A three-factor three-level response surface analysis design Thumbnail


Authors

M. J. Salar-Garc�a

A. de Ram�n-Fern�ndez

V. M. Ortiz-Mart�nez

D. Ruiz-Fern�ndez

Yannis Ieropoulos Ioannis2.Ieropoulos@uwe.ac.uk
Professor in Bioenergy & Director of B-B



Abstract

© 2019 The Authors 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.

Citation

Salar-García, M. J., de Ramón-Fernández, A., Ortiz-Martínez, V. M., Ruiz-Fernández, D., & 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, 119-124. https://doi.org/10.1016/j.bej.2019.01.015

Journal Article Type Article
Acceptance Date Jan 12, 2019
Online Publication Date Jan 14, 2019
Publication Date Apr 15, 2019
Deposit Date Jan 16, 2019
Publicly Available Date Mar 29, 2024
Journal Biochemical Engineering Journal
Print ISSN 1369-703X
Electronic ISSN 1873-295X
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 144
Pages 119-124
DOI https://doi.org/10.1016/j.bej.2019.01.015
Public URL https://uwe-repository.worktribe.com/output/848815
Publisher URL https://doi.org/10.1016/j.bej.2019.01.015
Additional Information Additional Information : This is the author's accepted manuscript. The final published version is available here: https://doi.org/10.1016/j.bej.2019.01.015.

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