Towards the optimisation of ceramic-based microbial fuel cells: A three-factor three-level response surface analysis design
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Title: | Towards the optimisation of ceramic-based microbial fuel cells: A three-factor three-level response surface analysis design |
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Authors: | Salar-García, María José | Ramón-Fernández, Alberto de | Ortiz-Martínez, Víctor Manuel | Ruiz-Fernandez, Daniel | Ieropoulos, Ioannis |
Research Group/s: | Ingeniería Bioinspirada e Informática para la Salud |
Center, Department or Service: | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Keywords: | Microbial fuel cells | Modelling | Response Surface Methodology | Ceramic membranes | Bioenergy |
Knowledge Area: | Arquitectura y Tecnología de Computadores |
Issue Date: | 15-Apr-2019 |
Publisher: | Elsevier |
Citation: | Biochemical Engineering Journal. 2019, 144: 119-124. 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. |
Sponsor: | M.J. Salar-García is supported by Fundación Séneca (Ref. 20372/PD/17). A. De Ramón-Fernández thanks the Ministry of Economy and Competitiveness the financial support for his thesis (Ref. BES-2015-073611). Parts of this work have been funded under the Bill & Melinda Gates Foundation, grant no. OPP1149065 and the European Commission H2020 Programme, grant no. 686585. |
URI: | http://hdl.handle.net/10045/87327 |
ISSN: | 1369-703X (Print) | 1873-295X (Online) |
DOI: | 10.1016/j.bej.2019.01.015 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/). |
Peer Review: | si |
Publisher version: | https://doi.org/10.1016/j.bej.2019.01.015 |
Appears in Collections: | INV - IBIS - Artículos de Revistas Research funded by the EU |
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