Scaling AWE from Lab to stack: Relevant parameters and stack design

Key Points

• This research aims to identify relevant parameters for scaling AWE technologies from the lab to practical stack applications.
• Conducted laboratory experiments to determine parameters influencing AWE performance.
• Analyzed the design aspects necessary for effective scaling of AWE systems.
• Utilized computational models to predict performance metrics of stacks.
• Identified key parameters that significantly impact AWE efficiency and scalability.
• Demonstrated that optimized stack designs can enhance AWE outputs.
• Provided guidelines for adapting laboratory AWE systems to real-world applications.