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Thermo-characterization of power systems components: a tool to diagnose their malfunctions

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  • Zaleta-Aguilar, Alejandro
  • Royo, Javier
  • Rangel, Victor H.
  • Torres-Reyes, Ernestina

Abstract

Concepts on thermodynamic characterization of power system components are presented in this paper. The aim of this work is to evaluate and diagnose the actual operating condition for existing power plant components. What is more, a Reference Performance State (RPS) for power system components which uses the parameters defined as the enthalpy change, ω, the entropy change, σ and the Mass Flow Ratio design, MFR is put forward. Design information and simulation will help to determine the RPS for each component operating without any malfunction. The RPS can be used to compare, to evaluate and to diagnose the actual operating condition of the plant components so as to detect its possible malfunction. A simulated example of a 105 MW power plant is presented herein so that thermo-characterization of steam turbines, a condenser, a heat exchanger, and a pump is illustrated. The induced and intrinsic component malfunction effects on the RPS are also presented. Their effects are related to the RPS, thereby opening the possibility to apply methodologies to any internal decay and/or induced malfunctions that could appear in an operating component, in terms of the heat rate impact.

Suggested Citation

  • Zaleta-Aguilar, Alejandro & Royo, Javier & Rangel, Victor H. & Torres-Reyes, Ernestina, 2004. "Thermo-characterization of power systems components: a tool to diagnose their malfunctions," Energy, Elsevier, vol. 29(3), pages 361-377.
    • Handle: RePEc:eee:energy:v:29:y:2004:i:3:p:361-377
    DOI: 10.1016/j.energy.2003.10.004
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    Cited by:

    1. Silva, J.A.M. & Venturini, O.J. & Lora, E.E.S. & Pinho, A.F. & Santos, J.J.C.S., 2011. "Thermodynamic information system for diagnosis and prognosis of power plant operation condition," Energy, Elsevier, vol. 36(7), pages 4072-4079.
    2. Usón, Sergio & Valero, Antonio, 2011. "Thermoeconomic diagnosis for improving the operation of energy intensive systems: Comparison of methods," Applied Energy, Elsevier, vol. 88(3), pages 699-711, March.

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