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Probabilistic analysis of a solid-oxide fuel-cell based hybrid gas-turbine system

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  • Gorla, Rama S. R.

Abstract

The emergence of fuel-cell systems and hybrid fuel-cell systems requires the evolution of analysis strategies for evaluating thermodynamic performance. A gas-turbine thermodynamic cycle integrated with a fuel cell was computationally simulated and probabilistically evaluated in view of the several uncertainties in the thermodynamic performance parameters. Cumulative distribution functions and sensitivity factors were computed for the overall thermal-efficiency due to the uncertainties in the thermodynamic random variables. These results can be used to quickly identify the most critical design variables in order to optimize the design and make it cost effective. The analysis leads to the selection of criteria for gas-turbine performance.

Suggested Citation

  • Gorla, Rama S. R., 2004. "Probabilistic analysis of a solid-oxide fuel-cell based hybrid gas-turbine system," Applied Energy, Elsevier, vol. 78(1), pages 63-74, May.
    • Handle: RePEc:eee:appene:v:78:y:2004:i:1:p:63-74
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    Cited by:

    1. Wee, Jung-Ho, 2011. "Molten carbonate fuel cell and gas turbine hybrid systems as distributed energy resources," Applied Energy, Elsevier, vol. 88(12), pages 4252-4263.
    2. Razbani, Omid & Wærnhus, Ivar & Assadi, Mohsen, 2013. "Experimental investigation of temperature distribution over a planar solid oxide fuel cell," Applied Energy, Elsevier, vol. 105(C), pages 155-160.
    3. David Diskin & Leonid Tartakovsky, 2020. "Efficiency at Maximum Power of the Low-Dissipation Hybrid Electrochemical–Otto Cycle," Energies, MDPI, vol. 13(15), pages 1-10, August.
    4. Huang, K. David & Tzeng, Sheng-Chung & Chang, Wei-Chuan, 2005. "Energy-saving hybrid vehicle using a pneumatic-power system," Applied Energy, Elsevier, vol. 81(1), pages 1-18, May.
    5. Mechri, Houcem Eddine & Capozzoli, Alfonso & Corrado, Vincenzo, 2010. "USE of the ANOVA approach for sensitive building energy design," Applied Energy, Elsevier, vol. 87(10), pages 3073-3083, October.
    6. Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2016. "Uncertainty and sensitivity analyses of energy and visual performances of office building with external venetian blind shading in hot-dry climate," Applied Energy, Elsevier, vol. 184(C), pages 155-170.

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