IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v42y2012i1p170-180.html
   My bibliography  Save this article

Investigation on a new methodology for thermal power plant assessment through live diagnosis monitoring of selected process parameters; application to a case study

Author

Listed:
  • Blanco, Jesús M.
  • Vazquez, L.
  • Peña, F.

Abstract

This paper proposes a new methodology for short- and long-term assessment of the operation of a thermal power plant to promote preventive maintenance as well as failure analysis while ensuring a degree of compliance with statutory regulations. This study aims to identify and monitorize the quasi-steady states associated with measurements in time series of power plant process. It was focused on a new procedure for detection over different thermodynamic variables involved, being multivariate and automatic. For each one of these states, statistical calculations are carried out to configure a data pre-processing level. The data settings now available can be used as assessment criteria based on detected deviations from a reference system that has been updated during plant-performance tests, addressing long term variations suggested variables. Although the most important outcome is the highly precise and valuable information that will be obtained on the live operating mode, leading to further improvements of the cycle efficiency and achievements in the overall control system of the thermal plant, the main goal is to detect any anomaly, reacting as quickly as possible to return the plant to a normal operation mode. This study also provides a comprehensive practical application, monitoring a power plant of reference.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:42:y:2012:i:1:p:170-180
    DOI: 10.1016/j.energy.2012.03.071
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544212002745
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2012.03.071?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. Jammazi, Rania, 2012. "Oil shock transmission to stock market returns: Wavelet-multivariate Markov switching GARCH approach," Energy, Elsevier, vol. 37(1), pages 430-454.
    2. Leon, A.E. & Solsona, J.A. & Figueroa, J.L. & Valla, M.I., 2011. "Optimization with constraints for excitation control in synchronous generators," Energy, Elsevier, vol. 36(8), pages 5366-5373.
    3. Deng, S.J. & Oren, S.S., 2006. "Electricity derivatives and risk management," Energy, Elsevier, vol. 31(6), pages 940-953.
    4. Stoppato, A. & Mirandola, A. & Meneghetti, G. & Lo Casto, E., 2012. "On the operation strategy of steam power plants working at variable load: Technical and economic issues," Energy, Elsevier, vol. 37(1), pages 228-236.
    5. Salamon, P. & Nulton, J.D. & Siragusa, G. & Andersen, T.R. & Limon, A., 2001. "Principles of control thermodynamics," Energy, Elsevier, vol. 26(3), pages 307-319.
    6. Amjady, N. & Keynia, F., 2009. "Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm," Energy, Elsevier, vol. 34(1), pages 46-57.
    7. Verda, Vittorio, 2008. "Prediction of the fuel impact associated with performance degradation in power plants," Energy, Elsevier, vol. 33(2), pages 213-223.
    8. Finn, Joshua & Wagner, John & Bassily, Hany, 2010. "Monitoring strategies for a combined cycle electric power generator," Applied Energy, Elsevier, vol. 87(8), pages 2621-2627, August.
    9. Krey, Volker & Martinsen, Dag & Wagner, Hermann-Josef, 2007. "Effects of stochastic energy prices on long-term energy-economic scenarios," Energy, Elsevier, vol. 32(12), pages 2340-2349.
    10. 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.
    11. Shin, J.Y. & Jeon, Y.J. & Maeng, D.J. & Kim, J.S. & Ro, S.T., 2002. "Analysis of the dynamic characteristics of a combined-cycle power plant," Energy, Elsevier, vol. 27(12), pages 1085-1098.
    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. Verda, Vittorio & Borchiellini, Romano, 2007. "Exergy method for the diagnosis of energy systems using measured data," Energy, Elsevier, vol. 32(4), pages 490-498.
    14. Poma, Christian & Verda, Vittorio & Consonni, Stefano, 2010. "Design and performance evaluation of a waste-to-energy plant integrated with a combined cycle," Energy, Elsevier, vol. 35(2), pages 786-793.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vazquez, Luis & Blanco, Jesús María & Ramis, Rolando & Peña, Francisco & Diaz, David, 2015. "Robust methodology for steady state measurements estimation based framework for a reliable long term thermal power plant operation performance monitoring," Energy, Elsevier, vol. 93(P1), pages 923-944.
    2. Jiang, Xiaolong & Liu, Pei & Li, Zheng, 2014. "Data reconciliation and gross error detection for operational data in power plants," Energy, Elsevier, vol. 75(C), pages 14-23.
    3. Cavalcante, Cristiano A.V. & Lopes, Rodrigo S., 2015. "Multi-criteria model to support the definition of opportunistic maintenance policy: A study in a cogeneration system," Energy, Elsevier, vol. 80(C), pages 32-40.
    4. Guo, Sisi & Liu, Pei & Li, Zheng, 2016. "Identification and isolability of multiple gross errors in measured data for power plants," Energy, Elsevier, vol. 114(C), pages 177-187.
    5. Xu, Jing & Bi, Dapeng & Ma, Suxia & Bai, Jin, 2020. "A data-based approach for benchmark interval determination with varying operating conditions in the coal-fired power unit," Energy, Elsevier, vol. 211(C).
    6. Fan, Mu-wei & Ao, Chu-chu & Wang, Xiao-rong, 2019. "Comprehensive method of natural gas pipeline efficiency evaluation based on energy and big data analysis," Energy, Elsevier, vol. 188(C).

    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. 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.
    3. Vazquez, Luis & Blanco, Jesús María & Ramis, Rolando & Peña, Francisco & Diaz, David, 2015. "Robust methodology for steady state measurements estimation based framework for a reliable long term thermal power plant operation performance monitoring," Energy, Elsevier, vol. 93(P1), pages 923-944.
    4. He, Kaijian & Yu, Lean & Lai, Kin Keung, 2012. "Crude oil price analysis and forecasting using wavelet decomposed ensemble model," Energy, Elsevier, vol. 46(1), pages 564-574.
    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. 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.
    7. Ji, Qiang & Fan, Ying, 2011. "A dynamic hedging approach for refineries in multiproduct oil markets," Energy, Elsevier, vol. 36(2), pages 881-887.
    8. Beiron, Johanna & Montañés, Rubén M. & Normann, Fredrik & Johnsson, Filip, 2020. "Flexible operation of a combined cycle cogeneration plant – A techno-economic assessment," Applied Energy, Elsevier, vol. 278(C).
    9. Guo, Sisi & Liu, Pei & Li, Zheng, 2016. "Data reconciliation for the overall thermal system of a steam turbine power plant," Applied Energy, Elsevier, vol. 165(C), pages 1037-1051.
    10. Jiang, Xiaolong & Liu, Pei & Li, Zheng, 2014. "A data reconciliation based framework for integrated sensor and equipment performance monitoring in power plants," Applied Energy, Elsevier, vol. 134(C), pages 270-282.
    11. Jammazi, Rania, 2012. "Cross dynamics of oil-stock interactions: A redundant wavelet analysis," Energy, Elsevier, vol. 44(1), pages 750-777.
    12. repec:ipg:wpaper:2014-546 is not listed on IDEAS
    13. repec:ipg:wpaper:2014-442 is not listed on IDEAS
    14. Andrzej Rusin & Martyna Tomala & Henryk Łukowicz & Grzegorz Nowak & Wojciech Kosman, 2021. "On-Line Control of Stresses in the Power Unit Pressure Elements Taking Account of Variable Heat Transfer Conditions," Energies, MDPI, vol. 14(15), pages 1-21, August.
    15. Mariz B. Arias & Sungwoo Bae, 2020. "Design Models for Power Flow Management of a Grid-Connected Solar Photovoltaic System with Energy Storage System," Energies, MDPI, vol. 13(9), pages 1-14, April.
    16. Subramanian, Navaneethan & Madejski, Paweł, 2023. "Analysis of CO2 capture process from flue-gases in combined cycle gas turbine power plant using post-combustion capture technology," Energy, Elsevier, vol. 282(C).
    17. Möst, Dominik & Keles, Dogan, 2010. "A survey of stochastic modelling approaches for liberalised electricity markets," European Journal of Operational Research, Elsevier, vol. 207(2), pages 543-556, December.
    18. Jacobs, Kris & Li, Yu & Pirrong, Craig, 2022. "Supply, demand, and risk premiums in electricity markets," Journal of Banking & Finance, Elsevier, vol. 135(C).
    19. Woo, C.K. & Zarnikau, J. & Moore, J. & Horowitz, I., 2011. "Wind generation and zonal-market price divergence: Evidence from Texas," Energy Policy, Elsevier, vol. 39(7), pages 3928-3938, July.
    20. Chen, Lingen & Sun, Fengrui & Wu, Chih, 2006. "Optimal configuration of a two-heat-reservoir heat-engine with heat-leak and finite thermal-capacity," Applied Energy, Elsevier, vol. 83(2), pages 71-81, February.
    21. Kursad Derinkuyu & Fehmi Tanrisever & Nermin Kurt & Gokhan Ceyhan, 2020. "Optimizing Day-Ahead Electricity Market Prices: Increasing the Total Surplus for Energy Exchange Istanbul," Manufacturing & Service Operations Management, INFORMS, vol. 22(4), pages 700-716, July.
    22. Martyna Tomala & Andrzej Rusin, 2022. "Risk-Based Operation and Maintenance Planning of Steam Turbine with the Long In-Service Time," Energies, MDPI, vol. 15(14), pages 1-17, July.

    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:42:y:2012:i:1:p:170-180. 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.