Prediction of ZnO Nanoparticle-Enhanced Coolant Properties for PEM Fuel Cell Applications Using Computational Intelligence Methods

Key Points

• ZnO nanoparticles significantly enhance coolant properties, boosting thermal conductivity by approximately 25%.
• The analysis employs computational intelligence methods, optimizing the nanoparticle design for fuel cell applications.
• Modeling techniques were used to predict the performance impact of ZnO nanoparticles on coolant properties over various conditions.
• These findings indicate that improving coolant properties can enhance overall fuel cell efficiency and durability.