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Optimum parameter design for performance of methanol steam reformer combining Taguchi method with artificial neural network and genetic algorithm

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  • Ouyang, Kwan
  • Wu, Horng-Wen
  • Huang, Shun-Chieh
  • Wu, Sheng-Ju

Abstract

The fuel cell is powered by H2 widely provided by reforming processes. A promising reforming process is methanol steam reforming which has received much attention. This study then attempts to acquire high hydrogen concentration, high methanol conversion efficiency and low CO concentration of methanol steam reforming. Three operating parameters were investigated: reacting temperature (T = 220–280 °C), steam-to-carbonate ratio (S/C = 0.9 to 1.1), and the volume flow rate for nitrogen (N2) carrier gas (Q=40 to 100cm3/min) as the flow rate of aqueous methanol solution was set as 3.1 cm3/min. The integrated approach of combining the Taguchi method with radial basis function neural network (RBFNN) was proposed in this study to demand an optimum parameter design. The results showed that the optimum parameter design was: T = 267 °C, S/C = 1.1, and Q=40cm3/min. The averaged percentage reduction of quality loss (PRQL) of 3.31% was obtained as optimum condition was implemented, in comparison with the starting condition (the largest reacting temperature, steam-to-carbonate ratio, and N2 volume flow rate). In addition, principal component analysis (PCA) is also investigated. The results obtained by PCA were compared with the ones by the integrated approach.

Suggested Citation

  • Ouyang, Kwan & Wu, Horng-Wen & Huang, Shun-Chieh & Wu, Sheng-Ju, 2017. "Optimum parameter design for performance of methanol steam reformer combining Taguchi method with artificial neural network and genetic algorithm," Energy, Elsevier, vol. 138(C), pages 446-458.
    • Handle: RePEc:eee:energy:v:138:y:2017:i:c:p:446-458
    DOI: 10.1016/j.energy.2017.07.067
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    References listed on IDEAS

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    1. Wu, Horng-Wen, 2016. "A review of recent development: Transport and performance modeling of PEM fuel cells," Applied Energy, Elsevier, vol. 165(C), pages 81-106.
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    Cited by:

    1. Zou, Dexuan & Li, Steven & Kong, Xiangyong & Ouyang, Haibin & Li, Zongyan, 2018. "Solving the dynamic economic dispatch by a memory-based global differential evolution and a repair technique of constraint handling," Energy, Elsevier, vol. 147(C), pages 59-80.
    2. Perng, Shiang-Wuu & Chien, Tsai-Chieh & Horng, Rong-Fang & Wu, Horng-Wen, 2019. "Performance enhancement of a plate methanol steam reformer by ribs installed in the reformer channel," Energy, Elsevier, vol. 167(C), pages 588-601.
    3. Wu, Horng-Wen & Shih, Gin-Jang & Chen, Yi-Bin, 2018. "Effect of operational parameters on transport and performance of a PEM fuel cell with the best protrusive gas diffusion layer arrangement," Applied Energy, Elsevier, vol. 220(C), pages 47-58.
    4. Wu, Horng-Wen & Ho, Tzu-Yi & Han, Yueh-Jung, 2021. "Parametric optimization of wall-mounted cuboid rows installed in interdigitated flow channel of HT-PEM fuel cells," Energy, Elsevier, vol. 216(C).
    5. Yao, Ling & Wang, Feng & Wang, Long & Wang, Guoqiang, 2019. "Transport enhancement study on small-scale methanol steam reforming reactor with waste heat recovery for hydrogen production," Energy, Elsevier, vol. 175(C), pages 986-997.

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