Sinusoidal Waveform Modulated Voltage Supply for Current Improvement of Water Electrolyzers Based on Multi-Physical Dynamics

21 Pages Posted: 3 Sep 2024

See all articles by Kewei Hu

Kewei Hu

Huazhong University of Science and Technology

Jiakun Fang

Huazhong University of Science and Technology

Xiaomeng Ai

Huazhong University of Science and Technology

Zhiyao Zhong

Huazhong University of Science and Technology

Xiaobo Yang

affiliation not provided to SSRN

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Abstract

In this paper, the effect of the sinusoidal waveform modulated voltage (SWMV) on the performance of the water electrolyzers is investigated based on multi-physical dynamics. By introducing the dynamic bubble effect in the industrial water electrolyzers, SWMV supply can theoretically improve the overall current density by taking advantage of the time-scale differences between the electrochemical reaction and the diphasic flow. In order to prove the analysis, a three-dimensional dynamic multiphysics model of the alkaline electrolyzer is established by considering the bidirectional coupling of the diphasic flow field and the current density field, which are then validated by the experiment on the RTLab-based electrolysis testbed. Results show that the overall hydrogen production rate can be improved by up to 3.07% with SWMV, which is primarily attributed to the transient process of the diphasic flow in seconds. Furthermore, the time constant of the flow field has proved to be a critical parameter determining the current gain brought by SWMV. The discovery is expected to pave the way for renewable power-to-hydrogen by bridging the gap between fluctuating renewable energy and water electrolyzers.

Keywords: Sinusoidal waveform modulated voltage, renewable power-to-hydrogen, water electrolysis, dynamic multiphysics, bubble effect

Suggested Citation

Hu, Kewei and Fang, Jiakun and Ai, Xiaomeng and Zhong, Zhiyao and Yang, Xiaobo, Sinusoidal Waveform Modulated Voltage Supply for Current Improvement of Water Electrolyzers Based on Multi-Physical Dynamics. Available at SSRN: https://ssrn.com/abstract=4945162 or http://dx.doi.org/10.2139/ssrn.4945162

Kewei Hu

Huazhong University of Science and Technology ( email )

1037 Luoyu Rd
Wuhan, 430074
China

Jiakun Fang (Contact Author)

Huazhong University of Science and Technology ( email )

Xiaomeng Ai

Huazhong University of Science and Technology ( email )

Zhiyao Zhong

Huazhong University of Science and Technology ( email )

Xiaobo Yang

affiliation not provided to SSRN ( email )

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