Use of metamodeling optimal approach promotes the performance of proton exchange membrane fuel cell (PEMFC)
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DOI: 10.1016/j.apenergy.2013.01.001
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- Chiu, Han-Chieh & Jang, Jer-Huan & Yan, Wei-Mon & Li, Hung-Yi & Liao, Chih-Cheng, 2012. "A three-dimensional modeling of transport phenomena of proton exchange membrane fuel cells with various flow fields," Applied Energy, Elsevier, vol. 96(C), pages 359-370.
- Cheng, Shan-Jen & Miao, Jr-Ming & Wu, Sheng-Ju, 2012. "Investigating the effects of operational factors on PEMFC performance based on CFD simulations using a three-level full-factorial design," Renewable Energy, Elsevier, vol. 39(1), pages 250-260.
- Wang, Yun & Chen, Ken S. & Mishler, Jeffrey & Cho, Sung Chan & Adroher, Xavier Cordobes, 2011. "A review of polymer electrolyte membrane fuel cells: Technology, applications, and needs on fundamental research," Applied Energy, Elsevier, vol. 88(4), pages 981-1007, April.
- Tang, Yong & Yuan, Wei & Pan, Minqiang & Wan, Zhenping, 2011. "Experimental investigation on the dynamic performance of a hybrid PEM fuel cell/battery system for lightweight electric vehicle application," Applied Energy, Elsevier, vol. 88(1), pages 68-76, January.
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- Puja Bhatt & Neha Agarwal & Uday K. Chakraborty, 2016. "Parameter Optimization of PEMFC with Genetic Algorithm," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 241-249, November.
- Kwan, Trevor Hocksun & Wu, Xiaofeng & Yao, Qinghe, 2018. "Multi-objective genetic optimization of the thermoelectric system for thermal management of proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 217(C), pages 314-327.
- Besseris, George J., 2014. "Using qualimetric engineering and extremal analysis to optimize a proton exchange membrane fuel cell stack," Applied Energy, Elsevier, vol. 128(C), pages 15-26.
- Perera, A.T.D. & Wickramasinghe, P.U. & Nik, Vahid M. & Scartezzini, Jean-Louis, 2019. "Machine learning methods to assist energy system optimization," Applied Energy, Elsevier, vol. 243(C), pages 191-205.
- Geyer, Philipp & Schlüter, Arno, 2014. "Automated metamodel generation for Design Space Exploration and decision-making – A novel method supporting performance-oriented building design and retrofitting," Applied Energy, Elsevier, vol. 119(C), pages 537-556.
- Lin, Chen & Yan, Xiaohui & Wei, Guanghua & Ke, Changchun & Shen, Shuiyun & Zhang, Junliang, 2019. "Optimization of configurations and cathode operating parameters on liquid-cooled proton exchange membrane fuel cell stacks by orthogonal method," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
- Kheirandish, Azadeh & Motlagh, Farid & Shafiabady, Niusha & Dahari, Mahidzal & Khairi Abdul Wahab, Ahmad, 2017. "Dynamic fuzzy cognitive network approach for modelling and control of PEM fuel cell for power electric bicycle system," Applied Energy, Elsevier, vol. 202(C), pages 20-31.
- Cho, Junhyun & Park, Jaeman & Oh, Hwanyeong & Min, Kyoungdoug & Lee, Eunsook & Jyoung, Jy-Young, 2013. "Analysis of the transient response and durability characteristics of a proton exchange membrane fuel cell with different micro-porous layer penetration thicknesses," Applied Energy, Elsevier, vol. 111(C), pages 300-309.
- Chen, Huicui & Pei, Pucheng & Song, Mancun, 2015. "Lifetime prediction and the economic lifetime of Proton Exchange Membrane fuel cells," Applied Energy, Elsevier, vol. 142(C), pages 154-163.
- Yang, Woo-Joo & Wang, Hong-Yang & Lee, Dae-Hyung & Kim, Young-Bae, 2015. "Channel geometry optimization of a polymer electrolyte membrane fuel cell using genetic algorithm," Applied Energy, Elsevier, vol. 146(C), pages 1-10.
- Pei, Pucheng & Chen, Huicui, 2014. "Main factors affecting the lifetime of Proton Exchange Membrane fuel cells in vehicle applications: A review," Applied Energy, Elsevier, vol. 125(C), pages 60-75.
- Xing, Lei & Das, Prodip K. & Song, Xueguan & Mamlouk, Mohamed & Scott, Keith, 2015. "Numerical analysis of the optimum membrane/ionomer water content of PEMFCs: The interaction of Nafion® ionomer content and cathode relative humidity," Applied Energy, Elsevier, vol. 138(C), pages 242-257.
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Keywords
Metamodeling; Proton exchange membrane fuel cell (PEMFC); Radial basis function neural network (RBFNN); Cross-validation; Optimization;All these keywords.
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