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Advanced design of cathode array protrusion structure of solid oxide fuel cell based on NSGA-II multi-objective optimization

材料科学 阴极 多目标优化 固体氧化物燃料电池 燃料电池 氧化物 化学工程 工艺工程 计算机科学 阳极 电极 冶金 化学 物理化学 机器学习 工程类
作者
Yi Cui,Zhen Wang,Laishun Yang,H. M. Jia,Yaoyu Ren,Lei Song,Grace Gar‐Lee Yue
出处
期刊:International Journal of Heat and Mass Transfer [Elsevier]
卷期号:226: 125457-125457
标识
DOI:10.1016/j.ijheatmasstransfer.2024.125457
摘要

As fuel cells gain widespread utilization, augmenting the power density and combination property of Solid Oxide Fuel Cells (SOFCs) has emerged as a pivotal area of research. This study introduces an innovative arrayed protrusion structure within the cathode flow channels of SOFCs to induce secondary flow. The influence of this arrayed structure on fuel cell combination property is meticulously analyzed through comprehensive numerical simulations. Furthermore, this paper employs the Response Surface Methodology to evaluate the synergistic effects of cathode operational conditions, particularly temperature, and arrayed structure parameters (including base width, height, and quantity) on SOFC performance. Correlations among these variables have been established to show synergistic associations between variables and performance index. The findings reveal that the inclusion of an arrayed structure in the cathode flow channels generates multi-directional vortices, thereby intensifying gas disturbance, facilitating reactant diffusion, and optimizing oxygen concentration distribution. This results in a marked enhancement of the fuel cell's overall performance. Among the operational parameters analyzed, temperature exerts the most substantial influence on power density, followed by protrusion height, base width, and number. Ultimately, using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II), Pareto optimal solutions were derived, yielding a superior balance of higher power density and reduced pressure drop. Compared to the baseline, the power density in these Pareto optimal solutions saw an increase of 16.5% to 23.6%, while pressure drop escalated marginally by 1.5% to 8.9%.
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