Modeling of Combined SOFC and Turbine Power Systems

  • Eric A. Liese
  • Mario Luigi Ferrari
  • John Van Osdol
  • David Tucker
  • Randall S. Gemmen
Part of the Fuel Cells and Hydrogen Energy book series (FCHY)

An SOFC outputs a significant amount of high quality heat which has drawn much attention as to how to use this heat in the most efficient manner possible. Since a gas turbine (GT) produces work from the expansion of a heated gas, it is one choice to consider for combination with an SOFC. A hybrid system in this field of research generally refers to a combined fuel cell and some form of heat engine. Gas turbines (GT) have been the most commonly investigated heat engine, although the use of a Sterling engine and steam turbines have also been considered. The goal of this chapter is to discuss modeling considerations specific to gas turbine SOFC hybrid systems. Two broad categories of hybrid systems are the pressurized and the unpressurized fuel cell hybrid. In the pressurized configuration, the fuel cell is located between the compressor and expander of the turbine system and thus at some elevated pressure. In the atmospheric configuration, the waste heat from the fuel cell goes to a heat exchanger located between the compressor and expander. Also in this system, the air from the turbine exhaust (the expander) is used at the cathode inlet. While keeping the fuel cell at atmospheric pressure poses much less risk, the pressurized configurations offer more potential for increased efficiency, and perhaps reduced cost, and therefore have been more often investigated. Thus, this chapter will discuss the pressurized option, beginning with an overview of how pressure affects SOFC and GT performance. Then steady-state configuration models will be presented, and finally non-linear dynamic modeling of gas turbine and hybrid systems will be discussed.


Fuel Cell Hybrid System Pressure Ratio Solid Oxide Fuel Cell Inlet Temperature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science + Business Media B.V 2008

Authors and Affiliations

  • Eric A. Liese
    • 1
  • Mario Luigi Ferrari
    • 2
  • John Van Osdol
    • 1
  • David Tucker
    • 1
  • Randall S. Gemmen
    • 1
  1. 1.U.S. Department of EnergyNational Energy Technology LaboratoryMorgantownUSA
  2. 2.DiMSET Thermochemical Power GroupUniversità di GenovaItaly

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