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

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

Energy, 2025, vol. 335, issue C

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.

Keywords: Micro-combustion; Treed Gaussian process (TGP); Entropy generation; Second law efficiency; Catalytic combustion (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:335:y:2025:i:c:s0360544225035078

DOI: 10.1016/j.energy.2025.137865

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