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Performance Degradation and Fault Mechanisms Based Solid Oxide Fuel Cell System Multimode Modeling and Analysis

机译:基于性能退化和故障机理的固体氧化物燃料电池系统多模建模与分析

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Solid oxide fuel cell (SOFC) system becomes one of the most promising power generation devices for its high efficiency and low emission. However, the commercialization process of SOFC is restricted due to the problems of life-span and cost, so the performance degradation and fault mechanisms of SOFC systems are partially studied by some scholars. An SOFC system model that efficiently describes system performance degradation and various faults characteristics during long term operation plays pivotal role in improving system performance and extending life time. In this paper, a high fidelity steam-reforming SOFC system model incorporating system performance degradation principles and faults evolving mechanisms is developed based on physical laws and validated with experimental data. With this model the drifting of static optimal operation point (OOP) caused by performance degradation and different fault combinations, together with system input sensitivity analysis are investigated. The results indicate that the introduction of the degradation and fault mechanisms would increase the accuracy of the system model, and decrease system electrical efficiency. The steam-reforming SOFC system has a higher sensitivity to the stack fault than to the reformer fault.
机译:固体氧化物燃料电池(SOFC)系统因其高效率和低排放而成为最有前途的发电设备之一。然而,由于寿命和成本问题,SOFC的商业化过程受到限制,因此一些学者对SOFC系统的性能下降和故障机理进行了部分研究。 SOFC系统模型可有效描述系统性能下降和长期运行期间的各种故障特征,在改善系统性能和延长使用寿命方面起着至关重要的作用。本文基于物理定律开发了结合系统性能退化原理和故障演化机制的高保真蒸汽重塑SOFC系统模型,并通过实验数据进行了验证。利用该模型,研究了由于性能下降和不同故障组合而导致的静态最佳工作点(OOP)的漂移,以及系统输入灵敏度分析。结果表明,引入降级和故障机制将提高系统模型的准确性,并降低系统电效率。蒸汽重整SOFC系统对烟囱故障的敏感性高于对重整炉故障的敏感性。

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