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Enhanced turbine monitoring using emissions measurements and data reconciliation

Author

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  • Syed, Mohammed S.
  • Dooley, Kerry M.
  • Madron, Frantisek
  • Knopf, F. Carl

Abstract

Standard monitoring within a gas-turbine based cogeneration system includes key flow rates, temperatures, pressures and turbine vibration. These standard measurements can be enhanced with continuous emissions monitoring to help pinpoint system problems. A combination of these measurements, a fast NOx prediction model and data reconciliation constitute an improved monitoring and diagnostic tool that can quantitatively predict the existence of turbine problems (for example, damaged combustor nozzles) even when standard turbine monitoring indicates no problems exist.

Suggested Citation

  • Syed, Mohammed S. & Dooley, Kerry M. & Madron, Frantisek & Knopf, F. Carl, 2016. "Enhanced turbine monitoring using emissions measurements and data reconciliation," Applied Energy, Elsevier, vol. 173(C), pages 355-365.
    • Handle: RePEc:eee:appene:v:173:y:2016:i:c:p:355-365
    DOI: 10.1016/j.apenergy.2016.04.059
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    References listed on IDEAS

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    Cited by:

    1. Rossi, Iacopo & Sorce, Alessandro & Traverso, Alberto, 2017. "Gas turbine combined cycle start-up and stress evaluation: A simplified dynamic approach," Applied Energy, Elsevier, vol. 190(C), pages 880-890.
    2. Kan, Xiang & Chen, Xiaoping & Shen, Ye & Lapkin, Alexei A. & Kraft, Markus & Wang, Chi-Hwa, 2019. "Box-Behnken design based CO2 co-gasification of horticultural waste and sewage sludge with addition of ash from waste as catalyst," Applied Energy, Elsevier, vol. 242(C), pages 1549-1561.
    3. Kan, Xiang & Zhou, Dezhi & Yang, Wenming & Zhai, Xiaoqiang & Wang, Chi-Hwa, 2018. "An investigation on utilization of biogas and syngas produced from biomass waste in premixed spark ignition engine," Applied Energy, Elsevier, vol. 212(C), pages 210-222.

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