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Accuracy level in thermoeconomic diagnosis of energy systems

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  • Verda, Vittorio

Abstract

This paper aims at analyzing the information that can be obtained by considering different accuracy levels in the thermoeconomic diagnosis problem. A progressive elimination of effects that impede a clear identification of anomalies causing performance degradation is performed. The analysis is applied to combined cycle plant.

Suggested Citation

  • Verda, Vittorio, 2006. "Accuracy level in thermoeconomic diagnosis of energy systems," Energy, Elsevier, vol. 31(15), pages 3248-3260.
    • Handle: RePEc:eee:energy:v:31:y:2006:i:15:p:3248-3260
    DOI: 10.1016/j.energy.2006.03.022
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    References listed on IDEAS

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    1. Verda, Vittorio & Serra, Luis & Valero, Antonio, 2004. "The effects of the control system on the thermoeconomic diagnosis of a power plant," Energy, Elsevier, vol. 29(3), pages 331-359.
    2. Frangopoulos, Christos A., 1987. "Thermo-economic functional analysis and optimization," Energy, Elsevier, vol. 12(7), pages 563-571.
    3. Valero, Antonio & Correas, Luis & Zaleta, Alejandro & Lazzaretto, Andrea & Verda, Vittorio & Reini, Mauro & Rangel, Victor, 2004. "On the thermoeconomic approach to the diagnosis of energy system malfunctions," Energy, Elsevier, vol. 29(12), pages 1875-1887.
    4. Lozano, M.A. & Valero, A., 1993. "Theory of the exergetic cost," Energy, Elsevier, vol. 18(9), pages 939-960.
    5. Valero, Antonio & Correas, Luis & Zaleta, Alejandro & Lazzaretto, Andrea & Verda, Vittorio & Reini, Mauro & Rangel, Victor, 2004. "On the thermoeconomic approach to the diagnosis of energy system malfunctions," Energy, Elsevier, vol. 29(12), pages 1889-1907.
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    Citations

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    Cited by:

    1. Abusoglu, Aysegul & Kanoglu, Mehmet, 2009. "Exergoeconomic analysis and optimization of combined heat and power production: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2295-2308, December.
    2. 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.
    3. Rúa Orozco, Dimas José & Da Purificação Ferreira, Marcos Vinicius & Moreira, Thayná & Venturini, Osvaldo José & Escobar Palácio, José Carlos & Mendes, Tiago & Vitoriano Julio, Alisson Aparecido, 2024. "Evaluation of the influence of exergy disaggregation on the results of thermoeconomic diagnosis using exergetic operators," Energy, Elsevier, vol. 296(C).
    4. Amorim Lorenzoni, Raphael & Conceição Soares Santos, José Joaquim & Barbosa Lourenço, Atilio & Marcon Donatelli, João Luiz, 2020. "On the accuracy improvement of thermoeconomic diagnosis through exergy disaggregation and dissipative equipment isolation," Energy, Elsevier, vol. 194(C).
    5. Orozco, Dimas José Rúa & Venturini, Osvaldo José & Escobar Palacio, José Carlos & del Olmo, Oscar Almazán, 2017. "A new methodology of thermodynamic diagnosis, using the thermoeconomic method together with an artificial neural network (ANN): A case study of an externally fired gas turbine (EFGT)," Energy, Elsevier, vol. 123(C), pages 20-35.
    6. 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.
    7. Lamas, Wendell de Queiroz, 2013. "Fuzzy thermoeconomic optimisation applied to a small waste water treatment plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 214-219.

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