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Long term performance degradation analysis and optimization of anode supported solid oxide fuel cell stacks

机译:阳极支撑固体氧化物燃料电池堆的长期性能下降分析和优化

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摘要

The main objective of this work is minimizing the cost of electricity of solid oxide fuel cell stacks by decelerating degradation mechanisms rate in long term operation for stationary power generation applications. The degradation mechanisms in solid oxide fuel cells are caused by microstructural changes, reactions between lanthanum strontium manganite and electrolyte, poisoning by chromium, carburization on nickel particles, formation of nickel sulfide, nickel coarsening, nickel oxidation, loss of conductivity and crack formation in the electrolyte. The rate of degradation mechanisms depends on the cell operating conditions (cell voltage and fuel utilization). In this study, the degradation based optimization framework is developed which determines optimum operating conditions to achieve a minimum cost of electricity. To show the effectiveness of the developed framework, optimization results are compared with the case that system operates at its design point. Results illustrate optimum operating conditions decrease the cost of electricity by 7.12%. The performed study indicates that degradation based optimization is a beneficial concept for long term performance degradation analysis of energy conversion systems. (C) 2016 Elsevier Ltd. All rights reserved.
机译:这项工作的主要目的是通过降低固定式发电应用的长期运行中的降解机理速率,将固体氧化物燃料电池堆的电力成本降至最低。固体氧化物燃料电池的降解机理是由微观结构变化,镧锶锰矿与电解质之间的反应,铬中毒,镍颗粒上的渗碳,硫化镍的形成,镍的粗化,镍的氧化,电导率的损失以及裂纹的形成引起的。电解质。降解机理的速率取决于电池的工作条件(电池电压和燃料利用率)。在这项研究中,开发了基于退化的优化框架,该框架确定了最佳的工作条件以实现最低的电费。为了显示开发框架的有效性,将优化结果与系统在其设计点运行的情况进行了比较。结果表明,最佳运行条件可将电力成本降低7.12%。进行的研究表明,基于退化的优化是能量转换系统长期性能退化分析的有益概念。 (C)2016 Elsevier Ltd.保留所有权利。

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