2022
DOI: 10.1016/j.egyr.2022.09.111
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Optimization of the thickness of catalytic layer for HT-PEMFCs based on genetic algorithm

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Cited by 7 publications
(3 citation statements)
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“…In terms of its developmental journey, the models have evolved from simple one-dimensional single-channel mathematical models to complex three-dimensional cell stack models. 5−7 Furthermore, the characteristics being studied by the models have become increasingly complex, ranging from single-phase flow to multiphase flow, 8,9 from steady-state simulations to transient simulations, 10,11 and from macroscopic cell models to the establishment of mathematical models within the gas diffusion layer (GDL) 12,13 and the catalyst layer (CL) 14,15 at the micro and mesoscale. In particular, pore-scale models based on the Lattice Boltzmann method gained significant attention for their capability to elucidate the transport processes of water within the GDL at the micro and mesoscales.…”
Section: Introductionmentioning
confidence: 99%
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“…In terms of its developmental journey, the models have evolved from simple one-dimensional single-channel mathematical models to complex three-dimensional cell stack models. 5−7 Furthermore, the characteristics being studied by the models have become increasingly complex, ranging from single-phase flow to multiphase flow, 8,9 from steady-state simulations to transient simulations, 10,11 and from macroscopic cell models to the establishment of mathematical models within the gas diffusion layer (GDL) 12,13 and the catalyst layer (CL) 14,15 at the micro and mesoscale. In particular, pore-scale models based on the Lattice Boltzmann method gained significant attention for their capability to elucidate the transport processes of water within the GDL at the micro and mesoscales.…”
Section: Introductionmentioning
confidence: 99%
“…In order to further understand the mechanisms and improve fuel cell systems, many researchers have engaged in modeling and computer simulation studies of PEMFC. In terms of its developmental journey, the models have evolved from simple one-dimensional single-channel mathematical models to complex three-dimensional cell stack models. Furthermore, the characteristics being studied by the models have become increasingly complex, ranging from single-phase flow to multiphase flow, , from steady-state simulations to transient simulations, , and from macroscopic cell models to the establishment of mathematical models within the gas diffusion layer (GDL) , and the catalyst layer (CL) , at the micro and mesoscale. In particular, pore-scale models based on the Lattice Boltzmann method gained significant attention for their capability to elucidate the transport processes of water within the GDL at the micro and mesoscales. , However, the aforementioned mathematical models established through numerical simulations have not considered the deformation of the GDL caused by assembly pressure, as well as the resulting changes in the GDL’s physical properties, internal temperature, and thermal stress distribution and their impact on cell performance.…”
Section: Introductionmentioning
confidence: 99%
“…Xia et al created a three-dimensional fuel cell model to optimize the porosity and thickness of the diffusion layer of the cell and achieved a 7.7% enhancement in performance. At the same time, they systematically analyzed the influence of various parameters on the performance of high-temperature fuel cells [ 13 , 14 ]. Wang et al calculated the optimal thickness of a high-temperature fuel cell catalyst layer using a genetic algorithm method, which improved the fuel cell performance by 6.8% [ 15 ].…”
Section: Introductionmentioning
confidence: 99%