Optimum parameter design for performance of methanol steam reformer combining Taguchi method with artificial neural network and genetic algorithm
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DOI: 10.1016/j.energy.2017.07.067
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- 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.
- 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.
- 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.
- 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).
- 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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Keywords
Methanol steam reformer; Energy carrier; Optimum parameter design; Taguchi method; Radial basis function neural network; Genetic algorithm;All these keywords.
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