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Review-Mathematical Formulations of Electrochemically Gas-Evolving Systems
Amir Taqieddin1, Michael R Allshouse1, Akram N Alshawabkeh2
1Department of Mechanical and Industrial Engineering, Northeastern University, Boston, Massachusetts 02115, USA.
This study reviews mathematical models for bubble behavior in electrochemical gas-evolving systems. It compiles current knowledge on bubble formation, growth, and detachment for optimizing hydrogen production and electrolysis.
Area of Science:
- Electrochemistry
- Multiphase Flow
- Chemical Engineering
Background:
- Electrochemical gas-evolving systems are crucial for applications like alkaline water electrolysis and hydrogen production.
- Accurate modeling requires understanding complex phenomena including electron transfer, chemical reactions, thermodynamics, hydrodynamics, and bubble dynamics.
- The presence and behavior of bubbles significantly impact system performance and reaction rates.
Purpose of the Study:
- To provide a comprehensive review of mathematical models governing the physicochemical life cycle of bubbles in electrolytic media.
- To analyze and compare prevailing mathematical formulations for each bubble life cycle phase.
- To highlight the impact of bubble dynamics on electrochemical system performance.
Main Methods:
- Literature review of governing mathematical models for bubble nucleation, growth, and detachment.
- Multiscale and multiphysics analysis of bubble behavior in electrochemical systems.
- Comparison of different modeling approaches focusing on physicochemical processes.
Main Results:
- Identification of key mathematical models for each stage of the bubble life cycle (nucleation, growth, detachment).
- Analysis of how bubble dynamics influence mass transfer and reaction rates.
- Compilation of the current state-of-the-art in bubble modeling for gas-evolving electrochemical systems.
Conclusions:
- A comprehensive understanding of bubble dynamics is essential for optimizing electrochemical gas-evolving systems.
- The reviewed models provide a foundation for developing high-fidelity simulations.
- Further research can build upon this compilation to advance system design and efficiency.
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