Numerical investigation of micro solid oxide fuel cell performance in combination with artificial intelligence approach
2024

Micro Solid Oxide Fuel Cell Performance with AI

Sample size: 364 publication 10 minutes Evidence: high

Author Information

Author(s): Taleghani Parastoo, Ghassemi Majid, Chizari Mahmoud

Primary Institution: K. N. Toosi University of Technology, Tehran, Iran

Hypothesis

How does the air-to-fuel ratio affect the performance of micro solid oxide fuel cells?

Conclusion

Increasing the air-to-fuel ratio decreases the current density and overall power of the micro solid oxide fuel cell.

Supporting Evidence

  • Optimal performance is achieved at an air-to-fuel ratio of 0.5, where power density increases by 2% and current density by 7%.
  • At an air-to-fuel ratio of 4, power and current density decrease by approximately 25% compared to an air-to-fuel ratio of 1.
  • The ANN model demonstrated remarkable accuracy in predicting the power density and current density of the H-SOFC, with average absolute errors of less than 1.6%.

Takeaway

This study looks at how changing the air-to-fuel ratio affects a special type of fuel cell, showing that too much air can make it work less well.

Methodology

The study used a multiphysics numerical model combined with artificial intelligence techniques to predict current and power density.

Limitations

The study primarily focuses on the air-to-fuel ratio and may not account for all operational conditions.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1016/j.heliyon.2024.e40996

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