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Gas Evolution in Water Electrolysis
Paul A Kempler1,2, Robert H Coridan3, Long Luo4,5
1Department of Chemistry and Biochemistry, University of Oregon, Eugene, Oregon 97403, United States.
Chemical Reviews
|September 11, 2024
Summary
Gas bubbles from water electrolysis impact hydrogen production efficiency. This review covers bubble-electrode interactions, characterization, electrode design for gas removal, and multiphase flow modeling for improved energy conversion.
Area of Science:
- Electrochemistry
- Materials Science
- Chemical Engineering
Background:
- Gas bubbles generated during water electrolysis (hydrogen evolution reaction and oxygen evolution reaction) significantly affect energy conversion efficiency.
- Understanding gas bubble-electrode interactions is crucial for optimizing hydrogen production.
Purpose of the Study:
- To survey current knowledge on gas bubble-electrode interactions and their impact on water electrolysis devices.
- To outline bubble life cycle processes, characterization techniques, and electrode tailoring for gas removal.
- To review modeling efforts for individual bubbles and multiphase flows.
Main Methods:
- Literature review of gas evolution phenomena in water electrolysis.
- Analysis of physical processes in bubble life cycles.
- Summary of in situ and practical device characterization techniques.
- Discussion of electrode design strategies for gas removal.
- Review of computational fluid dynamics and multiphase flow modeling.
Main Results:
- Gas bubble dynamics at electrode surfaces are complex and influence overall device performance.
- Tailoring electrode surfaces can enhance gas removal, especially at high current densities.
- Current modeling approaches provide insights into bubble behavior and multiphase flow.
Conclusions:
- Further research is needed to fully understand gas evolution in electrochemical devices.
- Improved simulations of multiphase flows are essential for advancing hydrogen production technology.
- Addressing outstanding questions in gas evolution characterization and modeling will enhance energy conversion efficiency.
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