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An improvement of measurements reliability in thermal processes by application of the advanced data reconciliation method with the use of fuzzy uncertainties of measurements

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  • Szega, Marcin

Abstract

An improvement of the measurements reliability in thermal processes by the application of the advanced data validation and reconciliation (DVR) methodology strictly depends on their assumed uncertainties. In thermal processes, which are realized in industry, the measurements uncertainties are often determined by the use of all available information concerning possible variability of measurement results. Very often, the determination of measurements uncertainties require professional knowledge, however this approach may lead to imprecise results The paper presents an application of the advanced data reconciliation method with the use of uncertainties of measurements expressed by fuzzy numbers. The proposed methodology has been presented based on example of gas-and-steam CHP unit. In order to compare calculation results for deterministic and the fuzzy uncertainties, the complex standard uncertainties of main assessment indicators of analyzed CHP unit operation supervision as well as the relative entropy of information – Kullback-Leibler divergence for two multivariate normal distributions have been chosen. By the use of mentioned criterions, it has been observed that better results are obtained with the proposed method using fuzzy measurements uncertainties. The results of this study showed that calculated values of uncertainties of energy assessment indicators and the relative information entropy of a whole measurements system are both smaller and more reliable.

Suggested Citation

  • Szega, Marcin, 2017. "An improvement of measurements reliability in thermal processes by application of the advanced data reconciliation method with the use of fuzzy uncertainties of measurements," Energy, Elsevier, vol. 141(C), pages 2490-2498.
    • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:2490-2498
    DOI: 10.1016/j.energy.2017.04.147
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    References listed on IDEAS

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    1. Szega, Marcin & Nowak, Grzegorz Tadeusz, 2015. "An optimization of redundant measurements location for thermal capacity of power unit steam boiler calculations using data reconciliation method," Energy, Elsevier, vol. 92(P1), pages 135-141.
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    Cited by:

    1. Kolenda, Z. & Styrylska, T., 2018. "To memory of Professor Jan Szargut," Energy, Elsevier, vol. 161(C), pages 1226-1233.
    2. Szega, Marcin, 2018. "Issues of an optimization of measurements location in redundant measurements systems of an energy conversion process – A case study," Energy, Elsevier, vol. 165(PA), pages 1034-1047.
    3. Dong, Zhe & Li, Bowen & Li, Junyi & Huang, Xiaojin & Zhang, Zuoyi, 2022. "Online reliability assessment of energy systems based on a high-order extended-state-observer with application to nuclear reactors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    4. Loyola-Fuentes, José & Smith, Robin, 2019. "Data reconciliation and gross error detection in crude oil pre-heat trains undergoing shell-side and tube-side fouling deposition," Energy, Elsevier, vol. 183(C), pages 368-384.
    5. Szega, Marcin, 2020. "Methodology of advanced data validation and reconciliation application in industrial thermal processes," Energy, Elsevier, vol. 198(C).
    6. Liu, Bin & Gao, Qun & Jin, Hongyu & Lei, Yu & Liu, Chunlu, 2022. "System indeterminacy analysis in the embodied energy network of global construction industries," Energy, Elsevier, vol. 261(PA).
    7. Szega, Marcin, 2018. "Extended applications of the advanced data validation and reconciliation method in studies of energy conversion processes," Energy, Elsevier, vol. 161(C), pages 156-171.

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