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dc.contributor.authorRamón Fernández, Alberto de 
dc.contributor.authorSalar García, María José 
dc.contributor.authorRuiz Fernández, Daniel 
dc.contributor.authorGreenman, John 
dc.contributor.authorIeropoulos, Ioannis 
dc.date.accessioned2020-06-03T05:19:44Z
dc.date.available2020-06-03T05:19:44Z
dc.date.issued2019
dc.identifier.citationRamón-Fernández, A. D., Salar-García, M. J., Ruiz-Fernández, D., Greenman, J. & Ieropoulos, I. Modelling the energy harvesting from ceramic-based microbial fuel cells by using a fuzzy logic approach. Applied Energy, 251, 113321 (2019).es_ES
dc.identifier.issn0306-2619
dc.description.abstractMicrobial fuel cells (MFCs) is a promising technology that is able to simultaneously produce bioenergy and treat wastewater. Their potential large-scale application is still limited by the need of optimising their power density. The aim of this study is to simulate the absolute power output by ceramic-based MFCs fed with human urine by using a fuzzy inference system in order to maximise the energy harvesting. For this purpose, membrane thickness, anode area and external resistance, were varied by running a 27-parameter combination in triplicate with a total number of 81 assays performed. Performance indices such as R2 and variance account for (VAF) were employed in order to compare the accuracy of the fuzzy inference system designed with that obtained by using nonlinear multivariable regression. R2 and VAF were calculated as 94.85% and 94.41% for the fuzzy inference system and 79.72% and 65.19% for the nonlinear multivariable regression model, respectively. As a result, these indices revealed that the prediction of the absolute power output by ceramic-based MFCs of the fuzzy-based systems is more reliable than the nonlinear multivariable regression approach. The analysis of the response surface obtained by the fuzzy inference system determines that the maximum absolute power output by the air-breathing set-up studied is 450 μW when the anode area ranged from 160 to 200 cm2, the external loading is approximately 900 Ω and a membrane thickness of 1.6 mm, taking into account that the results also confirm that the latter parameter does not show a significant effect on the power output in the range of values studied.es_ES
dc.description.sponsorshipM.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.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleModelling the energy harvesting from ceramic-based microbial fuel cells by using a fuzzy logic approaches_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.subjectMicrobial fuel cellses_ES
dc.subjectCeramic membraneses_ES
dc.subjectFuzzy inference systemes_ES
dc.subjectBioenergyes_ES
dc.subjectModellinges_ES
dc.subject.otherIngeniería Químicaes_ES
dc.identifier.urihttp://hdl.handle.net/10317/8570
dc.identifier.doi10.1016/j.apenergy.2019.113321
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S030626191930995X
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/686585es_ES
dc.subject.unesco1203.17 Informáticaes_ES
dc.subject.unesco3311 Tecnología de la Instrumentaciónes_ES
dc.contributor.funderMinisterio de Economía y Competividades_ES
dc.contributor.funderFundación Sénecaes_ES
dc.contributor.funderBill & Melinda Gates Foundationes_ES


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