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

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  • 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
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    References listed on IDEAS

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    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).

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