IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i20p6795-d658895.html
   My bibliography  Save this article

Multivariate State Estimation Technique Combined with Modified Information Entropy Weight Method for Steam Turbine Energy Efficiency Monitoring Study

Author

Listed:
  • Hui Gu

    (School of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

  • Hongxia Zhu

    (School of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

  • Xiaobo Cui

    (School of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

Abstract

An energy efficiency monitoring method of the steam turbine system is studied in this paper. Multivariate state estimation technique (MSET) is utilized to compare the actual monitoring parameters and the healthy data of the equipment in normal working condition with a multi parameter estimation model. Due to the limitation of a single heat rate index in evaluating energy efficiency variation, the energy efficiency deviation degree combined with improved information entropy weight is proposed to judge the steam turbine’s operation condition levels. The index value in the modified weight method has been searched for more steady weight values calculated by information entropy values with small variation. Taking a 600 MW unit as an example, the energy efficiency levels of the unit under a 550 MW normal working condition are clustered into four groups, testifying the MSET model correctness and calculating the deviation degree value. Then, the energy efficiency status monitoring model is utilized to record residuals of actual data and estimated data during abnormal energy efficiency period. The residuals over deviation degree are then marked and judged as related with the abnormal data. The results show that the MSET model can timely and accurately judge the change of unit operation state, and the deviation degree calculated by the modified information entropy weight method can provide earlier warnings for the abnormal energy efficiency working conditions.

Suggested Citation

  • Hui Gu & Hongxia Zhu & Xiaobo Cui, 2021. "Multivariate State Estimation Technique Combined with Modified Information Entropy Weight Method for Steam Turbine Energy Efficiency Monitoring Study," Energies, MDPI, vol. 14(20), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6795-:d:658895
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/20/6795/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/20/6795/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yongping Yang & Xiaoen Li & Zhiping Yang & Qing Wei & Ningling Wang & Ligang Wang, 2018. "The Application of Cyber Physical System for Thermal Power Plants: Data-Driven Modeling," Energies, MDPI, vol. 11(4), pages 1-16, March.
    2. 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.
    3. Srinivas, T., 2009. "Study of a deaerator location in triple-pressure reheat combined power cycle," Energy, Elsevier, vol. 34(9), pages 1364-1371.
    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. Zhou, Ling & Hang, Jianwei & Bai, Ling & Krzemianowski, Zbigniew & El-Emam, Mahmoud A. & Yasser, Eman & Agarwal, Ramesh, 2022. "Application of entropy production theory for energy losses and other investigation in pumps and turbines: A review," Applied Energy, Elsevier, vol. 318(C).
    2. Qiuxiang Lin & Baoping Zou & Yansheng Deng, 2023. "Evaluation of the Development Potential of Urban Underground Space Using Set Pair Analysis and the Comprehensive Weight Method," Sustainability, MDPI, vol. 15(7), pages 1-15, April.
    3. Gu, Hui & Zhu, Hongxia & Cui, Xiaobo, 2023. "A modified clustering procedure for energy consumption monitoring in the steam turbine considering volume effect," Energy, Elsevier, vol. 268(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. 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).
    2. Carazas, F.J.G. & Salazar, C.H. & Souza, G.F.M., 2011. "Availability analysis of heat recovery steam generators used in thermal power plants," Energy, Elsevier, vol. 36(6), pages 3855-3870.
    3. Yu, Haiquan & Zhou, Jianxin & Si, Fengqi & Nord, Lars O., 2022. "Combined heat and power dynamic economic dispatch considering field operational characteristics of natural gas combined cycle plants," Energy, Elsevier, vol. 244(PA).
    4. 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.
    5. Taler, Jan & Taler, Dawid & Kaczmarski, Karol & Dzierwa, Piotr & Trojan, Marcin & Sobota, Tomasz, 2018. "Monitoring of thermal stresses in pressure components based on the wall temperature measurement," Energy, Elsevier, vol. 160(C), pages 500-519.
    6. Caselles-Moncho, Antonio & Ferrandiz-Serrano, Liliana & Peris-Mora, Eduardo, 2006. "Dynamic simulation model of a coal thermoelectric plant with a flue gas desulphurisation system," Energy Policy, Elsevier, vol. 34(18), pages 3812-3826, December.
    7. Angerer, Michael & Kahlert, Steffen & Spliethoff, Hartmut, 2017. "Transient simulation and fatigue evaluation of fast gas turbine startups and shutdowns in a combined cycle plant with an innovative thermal buffer storage," Energy, Elsevier, vol. 130(C), pages 246-257.
    8. Alobaid, Falah & Ströhle, Jochen & Epple, Bernd & Kim, Hyun-Gee, 2009. "Dynamic simulation of a supercritical once-through heat recovery steam generator during load changes and start-up procedures," Applied Energy, Elsevier, vol. 86(7-8), pages 1274-1282, July.
    9. Maheshwari, Mayank & Singh, Onkar, 2019. "Comparative evaluation of different combined cycle configurations having simple gas turbine, steam turbine and ammonia water turbine," Energy, Elsevier, vol. 168(C), pages 1217-1236.
    10. Sreepradha, Chandrasekharan & Panda, Rames Chandra & Bhuvaneswari, Natrajan Swaminathan, 2017. "Mathematical model for integrated coal fired thermal boiler using physical laws," Energy, Elsevier, vol. 118(C), pages 985-998.
    11. Omar Mohamed & Ashraf Khalil, 2020. "Progress in Modeling and Control of Gas Turbine Power Generation Systems: A Survey," Energies, MDPI, vol. 13(9), pages 1-26, May.
    12. Sabia, Gabriele & Heinze, Christian & Alobaid, Falah & Martelli, Emanuele & Epple, Bernd, 2019. "ASPEN dynamics simulation for combined cycle power plant – Validation with hot start-up measurement," Energy, Elsevier, vol. 187(C).
    13. Imran, Muhammad & Pili, Roberto & Usman, Muhammad & Haglind, Fredrik, 2020. "Dynamic modeling and control strategies of organic Rankine cycle systems: Methods and challenges," Applied Energy, Elsevier, vol. 276(C).
    14. Gupta, M.K. & Kaushik, S.C. & Ranjan, K.R. & Panwar, N.L. & Reddy, V. Siva & Tyagi, S.K., 2015. "Thermodynamic performance evaluation of solar and other thermal power generation systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 567-582.
    15. Zhou, Jian & Zhang, Lizhong & Zhu, Lei & Zhang, Wei, 2024. "A data-driven operating improvement method for the thermal power unit with frequent load changes," Applied Energy, Elsevier, vol. 354(PB).
    16. Alobaid, Falah & Pfeiffer, Stefan & Epple, Bernd & Seon, Chil-Yeong & Kim, Hyun-Gee, 2012. "Fast start-up analyses for Benson heat recovery steam generator," Energy, Elsevier, vol. 46(1), pages 295-309.
    17. 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).
    18. Bonfiglio, A. & Cacciacarne, S. & Invernizzi, M. & Procopio, R. & Schiano, S. & Torre, I., 2017. "Gas turbine generating units control via feedback linearization approach," Energy, Elsevier, vol. 121(C), pages 491-512.
    19. Alobaid, Falah & Postler, Ralf & Ströhle, Jochen & Epple, Bernd & Kim, Hyun-Gee, 2008. "Modeling and investigation start-up procedures of a combined cycle power plant," Applied Energy, Elsevier, vol. 85(12), pages 1173-1189, December.
    20. Wen-Hsien Tsai, 2018. "A Green Quality Management Decision Model with Carbon Tax and Capacity Expansion under Activity-Based Costing (ABC)—A Case Study in the Tire Manufacturing Industry," Energies, MDPI, vol. 11(7), pages 1-30, 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:gam:jeners:v:14:y:2021:i:20:p:6795-:d:658895. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.