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Thermoeconomic diagnosis for improving the operation of energy intensive systems: Comparison of methods

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  • Usón, Sergio
  • Valero, Antonio

Abstract

The aim of thermoeconomic diagnosis of operating energy intensive systems is the determination of fuel consumption, the identification of the causes of its increment from design conditions and the quantification of the effect of each one of these causes. For this task, besides data acquisition and monitoring systems, a thermoeconomic diagnosis methodology is needed. After a review of methodologies, three of them are compared: quantitative causality analysis, linear regression and neural networks. These methods are based on thermodynamic indicators (more close to daily operation) instead of thermoeconomic parameters (which allow a homogeneous formulation); however, the first one is based on a thermodynamic description of the system, while the others are empirical. The comparison is based on the diagnosis of a 3 x 350 MW coal-fired-power plant for a time span of more than 6 years. Results show that quantitative causality analysis is able to quantify the effects of all variables while the others are only suitable for the most influential ones.

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  • 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.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:3:p:699-711
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    1. Lazzaretto, A. & Toffolo, A. & Reini, M. & Taccani, R. & Zaleta-Aguilar, A. & Rangel-Hernandez, V. & Verda, V., 2006. "Four approaches compared on the TADEUS (thermoeconomic approach to the diagnosis of energy utility systems) test case," Energy, Elsevier, vol. 31(10), pages 1586-1613.
    2. Pacheco Ibarra, J.J. & Rangel Hernández, V.H. & Zaleta Aguilar, A. & Valero, A., 2010. "Hybrid Fuel Impact Reconciliation Method: An integral tool for thermoeconomic diagnosis," Energy, Elsevier, vol. 35(5), pages 2079-2087.
    3. Fast, M. & Palmé, T., 2010. "Application of artificial neural networks to the condition monitoring and diagnosis of a combined heat and power plant," Energy, Elsevier, vol. 35(2), pages 1114-1120.
    4. Ozgener, Leyla & Ozgener, Onder, 2009. "Monitoring of energy exergy efficiencies and exergoeconomic parameters of geothermal district heating systems (GDHSs)," Applied Energy, Elsevier, vol. 86(9), pages 1704-1711, September.
    5. Usón, Sergio & Valero, Antonio & Correas, Luis, 2010. "Energy efficiency assessment and improvement in energy intensive systems through thermoeconomic diagnosis of the operation," Applied Energy, Elsevier, vol. 87(6), pages 1989-1995, June.
    6. Rusinowski, Henryk & Stanek, Wojciech, 2010. "Hybrid model of steam boiler," Energy, Elsevier, vol. 35(2), pages 1107-1113.
    7. Barelli, L. & Bidini, G. & Bonucci, F., 2009. "Diagnosis methodology for the turbocharger groups installed on a 1Â MW internal combustion engine," Applied Energy, Elsevier, vol. 86(12), pages 2721-2730, December.
    8. 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.
    9. Zaleta, Alejandro & Chavez, J.Paulo & Pacheco, J.Jesus & Santos, Adrian & Campos, Alfonso & Gallegos, Armando, 2007. "Concepts on dynamic reference state, acceptable performance tests, and the equalized reconciliation method as a strategy for a reliable on-line thermoeconomic monitoring and diagnosis," Energy, Elsevier, vol. 32(4), pages 499-507.
    10. Verda, Vittorio & Borchiellini, Romano, 2004. "Exergetic and economic evaluation of control strategies for a gas turbine plant," Energy, Elsevier, vol. 29(12), pages 2253-2271.
    11. 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.
    12. Verda, Vittorio, 2008. "Prediction of the fuel impact associated with performance degradation in power plants," Energy, Elsevier, vol. 33(2), pages 213-223.
    13. 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.
    14. Verda, Vittorio, 2006. "Accuracy level in thermoeconomic diagnosis of energy systems," Energy, Elsevier, vol. 31(15), pages 3248-3260.
    15. Torres, C. & Valero, A. & Rangel, V. & Zaleta, A., 2008. "On the cost formation process of the residues," Energy, Elsevier, vol. 33(2), pages 144-152.
    16. Verda, Vittorio & Borchiellini, Romano, 2007. "Exergy method for the diagnosis of energy systems using measured data," Energy, Elsevier, vol. 32(4), pages 490-498.
    17. 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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    2. 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).
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    4. 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.
    5. 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.
    6. Blanco, J.M. & Vazquez, L. & Peña, F. & Diaz, D., 2013. "New investigation on diagnosing steam production systems from multivariate time series applied to thermal power plants," Applied Energy, Elsevier, vol. 101(C), pages 589-599.
    7. Najjar, Yousef S.H. & Al-Absi, Suhayb, 2013. "Thermoeconomic optimization for green multi-shaft gas turbine engines," Energy, Elsevier, vol. 56(C), pages 39-45.

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