IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v296y2024ics0360544224008533.html
   My bibliography  Save this article

Evaluation of the influence of exergy disaggregation on the results of thermoeconomic diagnosis using exergetic operators

Author

Listed:
  • Rúa Orozco, Dimas José
  • Da Purificação Ferreira, Marcos Vinicius
  • Moreira, Thayná
  • Venturini, Osvaldo José
  • Escobar Palácio, José Carlos
  • Mendes, Tiago
  • Vitoriano Julio, Alisson Aparecido

Abstract

Thermoeconomic diagnosis is a tool to locate malfunctions and quantify their impact on thermal system operating costs. Since diagnostic methodologies are mainly based on the iteration of exergy flows within thermal systems, some authors suggest that the results can be improved when exergy is disaggregated into its components. Therefore, a Rankine cycle with intrinsic malfunctions in the condenser and the steam turbine was diagnosed using the thermoeconomic diagnostic methodology with exergetic operators for the thermoeconomic models of total exergy and physical exergy disaggregated into its enthalpic and negentropic portions. To enhance the study, the total exergy and negentropy model was also used. The applied method can identify intrinsic malfunctions, induced malfunctions, and dysfunctions. However, contrary to what would be expected, the results regarding the intrinsic malfunctions were the same for the three thermoeconomic models evaluated. Furthermore, the thermoeconomic model did not affect the value obtained when adding induced malfunctions and dysfunctions. Thus, the fuel impact was divided into its intrinsic and induced parcels. These parcels also remain independent of the thermoeconomic model, allowing the same results to be obtained with less complexity when the methodology is applied directly to the transition structure without needing a productive structure.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:296:y:2024:i:c:s0360544224008533
    DOI: 10.1016/j.energy.2024.131081
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224008533
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.131081?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Elias Amancio Siqueira-Filho & Maira Farias Andrade Lira & Attilio Converti & Hugo Valadares Siqueira & Carmelo J. A. Bastos-Filho, 2023. "Predicting Thermoelectric Power Plants Diesel/Heavy Fuel Oil Engine Fuel Consumption Using Univariate Forecasting and XGBoost Machine Learning Models," Energies, MDPI, vol. 16(7), pages 1-27, March.
    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. 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.
    4. Verda, Vittorio & Baccino, Giorgia, 2012. "Thermoeconomic approach for the analysis of control system of energy plants," Energy, Elsevier, vol. 41(1), pages 38-47.
    5. Mendes, Tiago & Venturini, Osvaldo José & da Silva, Julio Augusto Mendes & Orozco, Dimas José Rúa & Pirani, Marcelo José, 2020. "Disaggregation models for the thermoeconomic diagnosis of a vapor compression refrigeration system," Energy, Elsevier, vol. 193(C).
    6. Petrakopoulou, Fontina & Tsatsaronis, George & Morosuk, Tatiana & Carassai, Anna, 2012. "Conventional and advanced exergetic analyses applied to a combined cycle power plant," Energy, Elsevier, vol. 41(1), pages 146-152.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. Verda, Vittorio, 2008. "Prediction of the fuel impact associated with performance degradation in power plants," Energy, Elsevier, vol. 33(2), pages 213-223.
    14. 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.
    15. Verda, Vittorio, 2006. "Accuracy level in thermoeconomic diagnosis of energy systems," Energy, Elsevier, vol. 31(15), pages 3248-3260.
    16. Sergio Castro-Hernández & Teresa López-Arenas & Edgar Vicente Torres-González & Helen Lugo-Méndez & Raúl Lugo-Leyte, 2022. "Thermoeconomic Diagnosis of the Sequential Combustion Gas Turbine ABB/Alstom GT24," Energies, MDPI, vol. 15(2), pages 1-18, January.
    17. Verda, Vittorio & Borchiellini, Romano, 2007. "Exergy method for the diagnosis of energy systems using measured data," Energy, Elsevier, vol. 32(4), pages 490-498.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    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. 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.
    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. Blanco, Jesús M. & Vazquez, L. & Peña, F., 2012. "Investigation on a new methodology for thermal power plant assessment through live diagnosis monitoring of selected process parameters; application to a case study," Energy, Elsevier, vol. 42(1), pages 170-180.
    6. 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.
    7. 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.
    8. Zaleta-Aguilar, Alejandro & Olivares-Arriaga, Abraham & Cano-Andrade, Sergio & Rodriguez-Alejandro, David A., 2016. "β-characterization by irreversibility analysis: A thermoeconomic diagnosis method," Energy, Elsevier, vol. 111(C), pages 850-858.
    9. Mendes, Tiago & Venturini, Osvaldo José & da Silva, Julio Augusto Mendes & Orozco, Dimas José Rúa & Pirani, Marcelo José, 2020. "Disaggregation models for the thermoeconomic diagnosis of a vapor compression refrigeration system," Energy, Elsevier, vol. 193(C).
    10. 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.
    11. Antonio Valero & César Torres, 2023. "Application of Circular Thermoeconomics to the Diagnosis of Energy Systems," Energies, MDPI, vol. 16(18), pages 1-23, September.
    12. 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.
    13. Cafaro, S. & Napoli, L. & Traverso, A. & Massardo, A.F., 2010. "Monitoring of the thermoeconomic performance in an actual combined cycle power plant bottoming cycle," Energy, Elsevier, vol. 35(2), pages 902-910.
    14. Verda, Vittorio & Borchiellini, Romano, 2007. "Exergy method for the diagnosis of energy systems using measured data," Energy, Elsevier, vol. 32(4), pages 490-498.
    15. Verda, Vittorio, 2006. "Accuracy level in thermoeconomic diagnosis of energy systems," Energy, Elsevier, vol. 31(15), pages 3248-3260.
    16. 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.
    17. Picallo-Perez, Ana & Catrini, Pietro & Piacentino, Antonio & Sala, José-Mª, 2019. "A novel thermoeconomic analysis under dynamic operating conditions for space heating and cooling systems," Energy, Elsevier, vol. 180(C), pages 819-837.
    18. Bakhshmand, Sina Kazemi & Saray, Rahim Khoshbakhti & Bahlouli, Keyvan & Eftekhari, Hajar & Ebrahimi, Afshin, 2015. "Exergoeconomic analysis and optimization of a triple-pressure combined cycle plant using evolutionary algorithm," Energy, Elsevier, vol. 93(P1), pages 555-567.
    19. Khalili-Garakani, Amirhossein & Ivakpour, Javad & Kasiri, Norollah, 2016. "Evolutionary synthesis of optimum light ends recovery unit with exergy analysis application," Applied Energy, Elsevier, vol. 168(C), pages 507-522.
    20. Mingliang Bai & Jinfu Liu & Yujia Ma & Xinyu Zhao & Zhenhua Long & Daren Yu, 2020. "Long Short-Term Memory Network-Based Normal Pattern Group for Fault Detection of Three-Shaft Marine Gas Turbine," Energies, MDPI, vol. 14(1), pages 1-22, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:296:y:2024:i:c:s0360544224008533. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.