Computational investigation of the flow field contribution to improve electricity generation in granular activated carbon-assisted microbial fuel cells

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dc.contributor.authorZhao, Leien
dc.contributor.authorLi, Jianen
dc.contributor.authorBattaglia, Francineen
dc.contributor.authorHe, Zhenen
dc.contributor.departmentCivil and Environmental Engineeringen
dc.contributor.departmentMechanical Engineeringen
dc.date.accessioned2017-02-14T21:49:22Zen
dc.date.available2017-02-14T21:49:22Zen
dc.date.issued2016-11-30en
dc.description.abstractMicrobial fuel cells (MFCs) offer an alternative approach to treat wastewater with less energy input and direct electricity generation. To optimize MFC anodic performance, adding granular activated carbon (GAC) has been proved to be an effective way, most likely due to the enlarged electrode surface for biomass attachment and improved mixing of the flow field. The impact of a flow field on the current enhancement within a porous anode medium (e.g., GAC) has not been well understood before, and thus is investigated in this study by using mathematical modeling of the multi-order Butler-Volmer equation with computational fluid dynamics (CFD) techniques. By comparing three different CFD cases (without GAC, with GAC as a nonreactive porous medium, and with GAC as a reactive porous medium), it is demonstrated that adding GAC contributes to a uniform flow field and a total current enhancement of 17%, a factor that cannot be neglected in MFC design. However, in an actual MFC operation, this percentage could be even higher because of the microbial competition and energy loss issues within a porous medium. The results of the present study are expected to help with formulating strategies to optimize MFC with a better flow pattern design. (C) 2016 Elsevier B.V. All rights reserved.en
dc.description.versionPublished versionen
dc.format.extent83 - 87 (5) page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1016/j.jpowsour.2016.09.113en
dc.identifier.issn0378-7753en
dc.identifier.urihttp://hdl.handle.net/10919/75033en
dc.identifier.volume333en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000386403700011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectTechnologyen
dc.subjectChemistry, Physicalen
dc.subjectElectrochemistryen
dc.subjectEnergy & Fuelsen
dc.subjectMaterials Science, Multidisciplinaryen
dc.subjectChemistryen
dc.subjectMaterials Scienceen
dc.subjectMicrobial fuel cellen
dc.subjectComputational fluid dynamicsen
dc.subjectMulti-order reactionsen
dc.subjectBioenergyen
dc.subjectGranular activated carbonen
dc.subjectFlow fielden
dc.subjectWASTE-WATER TREATMENTen
dc.subjectLONG-TERM PERFORMANCEen
dc.subjectBIOELECTROCHEMICAL SYSTEMSen
dc.subjectFLUID-DYNAMICSen
dc.subjectANODEen
dc.subjectREACTORen
dc.subjectENERGYen
dc.titleComputational investigation of the flow field contribution to improve electricity generation in granular activated carbon-assisted microbial fuel cellsen
dc.title.serialJournal of Power Sourcesen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Civil & Environmental Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/Mechanical Engineeringen

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