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Distributed Generation Reformer and Fuel Cell System Modeling and Reformer Catalyst Layer Optimization

机译：分布式发电重整炉和燃料电池系统建模以及重整炉催化剂层优化

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摘要

This research presents a diesel-fed steam reformer and solid oxide fuel cell stack system Honeywell UniSimRTM Design Suites model and a two-dimensional diesel-fed steam reformer ANSYS Fluent model. The performance of the reformer and fuel cell system was compared to the performance of diesel generators in Canadian remote communities to illustrate the environmental and economic advantages that reformer and fuel cell systems have over typical diesel generation setups. The results show that, despite current solid oxide fuel cell technology being economically unfeasible, technology that is nearing commercialization could present substantial environmental and economic savings opportunities for diesel-based distributed generation projects. The UniSim model relied on several assumptions, one of which was the full conversion of the fuel feed within the steam reformer. A two-dimensional steam reformer model was therefore created in ANSYS Fluent to more accurately model the reforming process. Parameter studies on the reformer catalyst layer showed that reducing catalyst layer porosity along the length of the reformer results in improved reformer performance because of increased catalyst mass and higher reaction rates downstream that help push the reforming reaction towards equilibrium.
机译：这项研究提出了柴油供汽重整器和固体氧化物燃料电池堆系统霍尼韦尔UniSimRTM设计套件模型和二维柴油供汽重整器ANSYS Fluent模型。在加拿大偏远社区中，将重整器和燃料电池系统的性能与柴油发电机的性能进行了比较，以说明重整器和燃料电池系统相对于典型柴油发电机组的环境和经济优势。结果表明，尽管当前的固体氧化物燃料电池技术在经济上不可行，但即将商业化的技术可能为基于柴油的分布式发电项目提供大量的环境和经济节省机会。 UniSim模型基于几个假设，其中之一是蒸汽重整器中燃料进料的完全转换。因此，在ANSYS Fluent中创建了二维蒸汽重整器模型，以更准确地对重整过程进行建模。对重整催化剂层的参数研究表明，沿催化剂长度方向降低催化剂层孔隙率可提高重整性能，因为催化剂质量增加，下游的反应速率更高，有助于将重整反应推向平衡。

著录项

  • 作者

    DePippo, Kurtis Joseph Paul.;

  • 作者单位

    Queen's University (Canada).;

  • 授予单位 Queen's University (Canada).;
  • 学科 Chemical engineering.
  • 学位 M.A.Sc.
  • 年度 2016
  • 页码 177 p.
  • 总页数 177
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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