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Multi-scale mathematical modeling of methane-fueled SOFCs: Predicting limiting current density using a modified Fick's model

机译:甲烷燃料SOFC的多尺度数学建模:使用修正的Fick模型预测极限电流密度

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In this work, a direct internal reforming methane-fed solid oxide fuel cell based on a multi-physics channel-level mathematical model considering the effect of limiting current density, is studied. A modified Fick's model is adopted to refine the gas species concentration at the triple phase boundary. The model assumes competitive absorption of reactants followed by surface diffusion to the reactive sites. The percolation theory is employed to model the micro-scale behavior of the cell. Safe operations of the cell in terms of carbon deposition boundaries for different operating conditions by obtaining the extent of hydrogen oxidation based on fuel utilization are also discussed. A quantitative analysis is presented to show the effects of critical system parameters on the output variables of interest. Porosity and particles size from the micro-model as well as fuel utilization, temperature and pre-reforming rate from the macro-model are some of those estimated parameters. The obtained results show that the suggested rate limiting mechanism based on Fick's model more accurately predict the effect of limiting current density compared to those of dusty gas model. Further analysis illustrate that the limiting current density increases in both cases of higher inlet fuel concentrations and lower fuel utilizations. In addition, increasing pre-reforming rate and current density causes the system efficiency to diminish while power density is improved. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在这项工作中,研究了一种基于多物理通道级数学模型的直接内部重整甲烷供气的固体氧化物燃料电池,该模型考虑了限制电流密度的影响。采用改进的Fick模型来完善三相边界处的气体种类浓度。该模型假设反应物具有竞争性吸收,然后表面扩散到反应位点。渗流理论用于模拟细胞的微观行为。通过获得基于燃料利用率的氢氧化程度,还讨论了电池在不同运行条件下碳沉积边界方面的安全运行。提出了定量分析,以显示关键系统参数对目标输出变量的影响。微观模型中的孔隙率和粒径以及宏观模型中的燃料利用率,温度和预重整率都是这些估计参数中的一些。获得的结果表明,与粉尘气体模型相比,基于Fick模型的建议速率限制机制可以更准确地预测限制电流密度的效果。进一步的分析表明,在较高的入口燃料浓度和较低的燃料利用率下,极限电流密度都会增加。此外,提高预改革率和电流密度会导致系统效率降低,同时功率密度也会提高。 (C)2017 Elsevier Ltd.保留所有权利。

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