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Open AccessArticle

Computational Fluid Dynamics Modeling of the Resistivity and Power Density in Reverse Electrodialysis: A Parametric Study

1
Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
2
Department of Materials Science and Engineering, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
*
Author to whom correspondence should be addressed.
Membranes 2020, 10(9), 209; https://doi.org/10.3390/membranes10090209
Received: 30 June 2020 / Revised: 21 August 2020 / Accepted: 25 August 2020 / Published: 29 August 2020
(This article belongs to the Special Issue Electromembrane Processes: Experiments and Modelling)
Electrodialysis (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-Text
Keywords: reverse electrodialysis; computational fluid dynamics; power density; factorial design reverse electrodialysis; computational fluid dynamics; power density; factorial design
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MDPI and ACS Style

Jalili, Z.; Burheim, O.S.; Einarsrud, K.E. Computational Fluid Dynamics Modeling of the Resistivity and Power Density in Reverse Electrodialysis: A Parametric Study. Membranes 2020, 10, 209. https://doi.org/10.3390/membranes10090209

AMA Style

Jalili Z, Burheim OS, Einarsrud KE. Computational Fluid Dynamics Modeling of the Resistivity and Power Density in Reverse Electrodialysis: A Parametric Study. Membranes. 2020; 10(9):209. https://doi.org/10.3390/membranes10090209

Chicago/Turabian Style

Jalili, Zohreh; Burheim, Odne S.; Einarsrud, Kristian E. 2020. "Computational Fluid Dynamics Modeling of the Resistivity and Power Density in Reverse Electrodialysis: A Parametric Study" Membranes 10, no. 9: 209. https://doi.org/10.3390/membranes10090209

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