Numerical computation of electrical potential on a gas evolving electrode

Area of Science:

• Electrochemistry
• Materials Science
• Chemical Engineering

Background:

• Gas evolution in electrochemical systems (e.g., metal-air batteries, electrolyzers) leads to electrode surface masking.
• This masking induces overvoltages and temporal instability in electrical signals.

Purpose of the Study:

• To develop numerical computations accounting for electrode spatial heterogeneity and gas bubble size distribution.
• To compare computational predictions with experimental data and validate the model.
• To provide guidance for designing more efficient electrodes for gas-evolving systems.

Main Methods:

• Numerical computation incorporating electrode heterogeneity and bubble size distribution.
• Experimental validation using a Platinum-Carbon plate cell.
• Testing under varying electrolyte flow conditions.

Main Results:

• The numerical computations accurately reproduced experimental observations.
• The model successfully predicted the stability of electrical signals.
• The study demonstrated the impact of bubble size distribution on electrode performance.

Conclusions:

• Numerical modeling is a valuable tool for understanding and predicting performance in gas-evolving electrochemical systems.
• Accounting for electrode heterogeneity and bubble dynamics is crucial for optimizing electrode design.
• The findings guide the synthesis of more efficient electrodes for batteries and electrolyzers.