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dc.contributor.authorJalili, Zohreh
dc.contributor.authorBurheim, Odne Stokke
dc.contributor.authorEinarsrud, Kristian Etienne
dc.date.accessioned2022-05-09T12:06:30Z
dc.date.available2022-05-09T12:06:30Z
dc.date.created2020-08-31T11:58:50Z
dc.date.issued2020
dc.identifier.citationMembranes. 2020, 10 (9), .en_US
dc.identifier.issn2077-0375
dc.identifier.urihttps://hdl.handle.net/11250/2994792
dc.description.abstractElectrodialysis (ED) and reverse electrodialysis (RED) are enabling technologies which can facilitate renewable energy generation, dynamic energy storage, and hydrogen production from low-grade waste heat. This paper presents a computational fluid dynamics (CFD) study for maximizing the net produced power density of RED by coupling the Navier–Stokes and Nernst–Planck equations, using the OpenFOAM software. The relative influences of several parameters, such as flow velocities, membrane topology (i.e., flat or spacer-filled channels with different surface corrugation geometries), and temperature, on the resistivity, electrical potential, and power density are addressed by applying a factorial design and a parametric study. The results demonstrate that temperature is the most influential parameter on the net produced power density, resulting in a 43% increase in the net peak power density compared to the base case, for cylindrical corrugated channels. View Full-Texten_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleComputational Fluid Dynamics Modeling of the Resistivity and Power Density in Reverse Electrodialysis: A Parametric Studyen_US
dc.title.alternativeComputational Fluid Dynamics Modeling of the Resistivity and Power Density in Reverse Electrodialysis: A Parametric Studyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber21en_US
dc.source.volume10en_US
dc.source.journalMembranesen_US
dc.source.issue9en_US
dc.identifier.doi10.3390/membranes10090209
dc.identifier.cristin1826198
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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