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首页> 外文期刊>Journal of power sources >A multi-level simulation platform of natural gas internal reforming solid oxide fuel cell-gas turbine hybrid generation system - Part II. Balancing units model library and system simulation
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A multi-level simulation platform of natural gas internal reforming solid oxide fuel cell-gas turbine hybrid generation system - Part II. Balancing units model library and system simulation

机译:天然气内部重整固体氧化物燃料电池-燃气轮机混合发电系统的多级仿真平台-第二部分平衡单元模型库和系统仿真

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摘要

Following our integrated hierarchical modeling framework of natural gas internal reforming solid oxide fuel cell (1RS0FC), this paper firstly introduces the model libraries of main balancing units, including some state-of-the-art achievements and our specific work. Based on gPROMS programming code, flexible configuration and modular design are fully realized by specifying graphically all unit models in each level. Via comparison with the steady-state experimental data of Siemens-Westinghouse demonstration system, the in-house multi-level SOFC-gas turbine (GT) simulation platform is validated to be more accurate than the advanced power system analysis tool (APSAT). Moreover, some units of the demonstration system are designed reversely for analysis of a typically part-load transient process. The framework of distributed and dynamic modeling in most of units is significant for the development of control strategies in the future.
机译:遵循我们的天然气内部重整固体氧化物燃料电池(1RS0FC)的集成分层建模框架,本文首先介绍了主要平衡单元的模型库,包括一些最新的成果和我们的具体工作。基于gPROMS编程代码,通过以图形方式指定每个级别中的所有单元模型,完全实现了灵活的配置和模块化设计。通过与西门子西屋演示系统的稳态实验数据进行比较,内部多层SOFC-燃气轮机(GT)模拟平台经过验证,比先进的电力系统分析工具(APSAT)更准确。此外,演示系统的某些单元是反向设计的,用于分析典型的部分负载瞬态过程。大多数单元中的分布式和动态建模框架对于未来控制策略的发展具有重要意义。

著录项

  • 来源
    《Journal of power sources》 |2011年第20期|p.8424-8434|共11页
  • 作者单位

    Department of Thermal Science and Energy Engineering, School of Mechanical Engineering, University of Science & Technology Beijing, Beijing 100083, PR China ,Key laboratory for Thermal Science and Power Engineering of Ministry of Education, Tsinghua University, Beijing 100084, PR China;

    Key laboratory for Thermal Science and Power Engineering of Ministry of Education, Tsinghua University, Beijing 100084, PR China;

    Key laboratory for Thermal Science and Power Engineering of Ministry of Education, Tsinghua University, Beijing 100084, PR China ,Department of Chemical Engineering, University of Waterloo, Waterloo, Ontario N2L 3C1, Canada;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    solid oxide fuel cell; gas turbine; multi-level modeling; neural network; reverse design; part-load and dynamic;

    机译:固体氧化物燃料电池;燃气轮机;多层次建模;神经网络;逆向设计;部分负荷与动态;

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