Unveiling micro- and nanoscale bubble dynamics for enhanced electrochemical water splitting
Xinlong Lu1, Devendra Yadav2, Baichuan He1
1International Research Center for Renewable Energy & State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.
Understanding bubble dynamics in electrochemical water splitting is key to improving efficiency. This review details how bubble evolution, influenced by factors like the Marangoni effect, impacts electrode performance and offers strategies for optimization.
Area of Science:
- Physical Chemistry
- Materials Science
- Chemical Engineering
Background:
- Bubbles in water splitting (electrochemical and photoelectrochemical) significantly impact system efficiency.
- Surface-attached bubbles reduce the electrocatalytically active electrode area, increasing overpotential and hindering performance.
- Optimizing water splitting requires a deep understanding of bubble nucleation, growth, coalescence, and detachment.
Purpose of the Study:
- To review fundamental mechanisms of bubble evolution during water splitting.
- To emphasize the role of the Marangoni effect in bubble dynamics.
- To highlight scale-dependent bubble behavior on micro- and nano-electrodes.
Main Methods:
- Literature review focusing on fundamental mechanisms and recent advancements.
- Analysis of gas-liquid interfacial phenomena and bubble dynamics.
- Exploration of scale-dependent bubble behavior on micro/nano-electrodes.
Main Results:
- Bubble evolution, including nucleation, growth, coalescence, and detachment, is critical for water splitting efficiency.
- The Marangoni effect significantly influences bubble dynamics and behavior.
- Scale-dependent bubble behavior on micro/nano-electrodes provides insights into interfacial phenomena.
Conclusions:
- Effective bubble removal is pivotal for optimizing electrolysis processes.
- Understanding bubble dynamics offers opportunities to enhance water splitting performance.
- Insights into gas-liquid interfacial phenomena are crucial for industrial applications.
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