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基于AspenPlus的兆瓦级燃料电池分布式发电系统建模及仿真分析

Modeling and Simulation Analysis of MW-Level Fuel Cell Distributed Generation System Based on AspenPlus

  • 摘要:
        目的   燃料电池分布式发电技术是适应未来能源低碳化、清洁化、高效化发展趋势的重要应用方向。国内燃料电池电站项目较少,缺乏实际项目经验积累。为了推进燃料电池分布式电站技术的应用,文章概述了国内外应用现状,总结了高温燃料电池的优势与不足,调研了国内燃料电池建设应用案例,并建立了固体氧化物燃料电池与熔融碳酸盐燃料电池发电系统流程。
        方法   经过文献调研与实地调研,确定了两种适合建设大型电站的燃料电池分布式发电技术,并利用AspenPlus化工模拟软件建立燃料电池系统流程模型、电化学模型和能量分析模型,并开展系统的性能仿真分析。
        结果   分析结果与实际运行结果相吻合,分析预测的系统性能趋势与已有研究相一致。
        结论   该仿真方法可用于兆瓦级高温燃料电池分布式发电系统的研究,可为扩大燃料电池应用规模提供数据支持。

     

    Abstract:
        Introduction    The fuel cell distributed generation technology is an important application direction to adapt to the future development trend of low-carbon, clean and high-efficiency energy. There are few domestic fuel cell power station projects , and there is a lack of actual project experience accumulation. In order to promote the application of fuel cell distributed power station technology, the research outlined the current application status at home and abroad, summarized the advantages and disadvantages of high temperature fuel cells, investigated domestic fuel cell construction and application cases, and established solid oxide fuel cell (SOFC) and molten carbonate fuel cell (MCFC) power generation system processes.
        Method   After literature research and field research, two fuel cell distributed generation technologies suitable for the construction of large-scale power stations were identified. Chemical simulation software AspenPlus was used to establish the process model, electrochemical model and energy analysis model for the fuel cell system, and the performance simulation analysis of the system was carried out.
        Result   The analysis results show that they are consistent with the actual operation results and the system performance trend predicted by the analysis is consistent with the existing research.
        Conclusion   The simulation method can be used in the research of MW-level high-temperature fuel cell distributed generation system, and can provide data support for expanding the application scale of fuel cells.

     

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