Eulerian Two-Fluid Model of Alkaline Water Electrolysis for Hydrogen Production

Damien Le Bideau, Philippe Mandin, Mohamed Benbouzid, Myeongsub Kim, Mathieu Sellier, Fabrizio Ganci and Rosalinda Inguanta
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Damien Le Bideau: Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University Bretagne Sud, 56100 Lorient, France
Philippe Mandin: Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University Bretagne Sud, 56100 Lorient, France
Mohamed Benbouzid: Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University of Brest, 29238 Brest, France
Myeongsub Kim: Department of Ocean and Mechanical Engineering, Florida Atlantic University, Boca Raton, FL 33431, USA
Mathieu Sellier: Department of Mechanical Engineering, University of Canterbury, Christchurch 8140, New Zealand
Fabrizio Ganci: Dipartimento di Ingegneria, University of Palermo, Viale delle Scienze, 90128 Palermo, Italy
Rosalinda Inguanta: Dipartimento di Ingegneria, University of Palermo, Viale delle Scienze, 90128 Palermo, Italy

Energies, 2020, vol. 13, issue 13, 1-14

Abstract: Hydrogen storage is a promising technology for storage of renewable energy resources. Despite its high energy density potential, the development of hydrogen storage has been impeded, mainly due to its significant cost. Although its cost is governed mainly by electrical energy expense, especially for hydrogen produced with alkaline water electrolysis, it is also driven by the value of the cell tension. The most common means of electrolyzer improvement is the use of an electrocatalyst, which reduces the energy required for electrochemical reaction to take place. Another efficient means of electrolyzer improvement is to use the Computational Fluid Dynamics (CFD)-assisted design that allows the comprehension of the phenomena occurring in the electrolyzer and also the improvement in the electrolyzer’s efficiency. The designed two-phase hydrodynamics model of this study has been compared with the experimental results of velocity profiles measured using Laser Doppler Velocimetry (LDV) method. The simulated results were in good agreement with the experimental data in the literature. Under the good fit with experimental values, it is efficient to introduce a new physical bubble transfer phenomenon description called “bubble diffusion”.

Keywords: hydrogen production; alkaline water electrolysis; two-phases flow; CFD; two-phase process (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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