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Yang Guogang,Wang Hao,Su Fengmin,Li Shian,Zhang Guoling,Sun Juncai,Shen Qiuwan,Jiang Ziheng,Liao Jiadong,Chen Pengyu 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.7
Proton exchange nembrane fuel cells (PEMFCs) are highly promising energy devices for future transportation and distributed power stations. The electrochemical performance of PEMFCs assembled with gas diffusion layer (GDL) of different porosity gradient distributions has been analyzed using the lattice Boltzmann method. A single-phase multi-component lattice Boltzmann model employing the active approach was developed to investigate the reactive gas flow within the GDL. Two types of GDLs with the same porosity, namely multilayer porosity gradient GDLs and linear porosity gradient GDLs, were generated to investigate the effect of the porosity gradient of the GDL on the electrochemical performance of PEMFC. The results show that the two types of porosity gradient GDL improve oxygen starvation problems and enhance water management, and that the GDLs with smaller porosity gradients can increase the mean current density. This paper develops the study of pore-scale analysis of PEMFC performance and can provide guidance for the design of GDL structures.
An Effective Krill Herd Algorithm for Numerical Optimization
Songwei Huang,Lifang He,Xu Si,Yuanyuan Zhang,Pengyu Hao 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.7
The krill herd (KH) algorithm is a novel swarm intelligent algorithm which is inspired the herding behavior of the krill swarms. The various test results in the relevant literature show that the KH algorithm has better performance than the other swarm intelligent algorithm for optimization problem. In order to further improve the performance of the KH algorithm, an improved KH is proposed in this paper. The algorithm is performed on ten test functions and the results are compared with the basic KH algorithm, PSO, DE and GA algorithm. The experimental results indicate that the improved algorithm is a good method for numerical optimization problem.