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Exergy efficiency enhancement in platinum–stainless steel microscale combustors via treed Gaussian process modeling

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  • Chen, Ray-Bing
  • Lin, Hung-Ju
  • Wang, Yan-Ru
  • Li, Yueh-Heng

Abstract

This study investigates the optimization of a micro-combustion system by using a treed Gaussian process (TGP) to explore a multidimensional parameter space and thereby enhance performance. A platinum-coated stainless steel micro-reactor is analyzed, with the aim of optimizing entropy generation and second-law efficiency. The TGP model reduces prediction uncertainty by 70 %, facilitating efficient parameter exploration. The hydrogen equivalence ratio is found to contribute 65 % of the variance in the second law efficiency, and the methane velocity is also discovered to be crucial, with a first-order sensitivity index of 0.60 for thermal-conduction-related entropy generation. The optimized conditions lead to a second law efficiency of higher than 80 % under hydrogen and methane flow velocities of 0.5–0.9 m/s and equivalence ratios of 0.4–0.6. Hydrogen's role in promoting high-stability combustion is crucial, and the catalyst improves fuel oxidation and extends combustion limits. These findings provide a robust framework for designing high-efficiency micro-combustion systems and offer guidelines for minimizing irreversibility and maximizing the energy conversion efficiency.

Suggested Citation

  • Chen, Ray-Bing & Lin, Hung-Ju & Wang, Yan-Ru & Li, Yueh-Heng, 2025. "Exergy efficiency enhancement in platinum–stainless steel microscale combustors via treed Gaussian process modeling," Energy, Elsevier, vol. 335(C).
    • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225035078
    DOI: 10.1016/j.energy.2025.137865
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