• DocumentCode
    397480
  • Title

    System level dynamic modeling of fuel cell power plants

  • Author

    Eborn, Jonas ; Pedersen, Lars ; Haugstetter, Christoph ; Ghosh, Shubhro

  • Author_Institution
    United Technol. Res. Center, East Hartford, CT, USA
  • Volume
    3
  • fYear
    2003
  • fDate
    4-6 June 2003
  • Firstpage
    2024
  • Abstract
    In a joint effort between United Technologies Research Center and the business unit UTC Fuel Cells system level dynamic models are developed and deployed for the design and analysis of fuel cell based power systems. The article describes the scope and challenges within this effort as well as some of the methods and tools used. System level modeling of fuel cell systems is a challenge that few modeling tools can handle due to the heterogeneous nature of the system. The joint work has resulted in a set of proprietary model libraries for unique component designs, building upon publicly and commercially available model libraries and tools. The model libraries have been used to build system models in both stationary and automotive applications. Examples of models that show the model complexity and some simulation results are given in the paper. Since the system models contain a large number of components, the number of the variables for a full system model usually exceeds 500. Simulation of large, complex systems pose special problems not seen when working with smaller models and really stretch the capabilities of the simulation tools. The paper also discuss some lessons learned in this respect.
  • Keywords
    control systems; dynamics; fuel cell power plants; fuel cell vehicles; large-scale systems; UTC fuel cells; United Technologies Research Center; automobiles; complex systems; component designs; fuel cell power plants; fuel cell systems; model libraries; modeling tools; power systems; simulation tools; state variables; system level dynamic modeling; Automotive applications; Buildings; Business; Fuel cells; Libraries; Power generation; Power system analysis computing; Power system dynamics; Power system modeling; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2003. Proceedings of the 2003
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-7896-2
  • Type

    conf

  • DOI
    10.1109/ACC.2003.1243372
  • Filename
    1243372