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Extended applications of the advanced data validation and reconciliation method in studies of energy conversion processes

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  • Szega, Marcin

Abstract

Achievement of satisfactory results of measurements data reconciliation in energy conversion processes is possible only in the case of application of the so-called generalized advanced method of data validation and reconciliation. An application of this method made it possible to complete the validation model of the process (conditional equations of optimization task) including substance and energy conservation principles with additional equations describing energy conversion processes. The criterion of selection of the form of additional equations in the validation model in reconciliation calculation has been formulated based on the derived characteristic property of variables uncertainty after data reconciliation. The developed methodology has been used for example calculations of data reconciliation in the selected steam power unit. At the design stage of energy conversion systems, the problem of the number of redundant measurements, as well as their location, appears. Example calculations for the redundant measurement systems of selected energy conversion processes have been carried out. As objective functions of the combinatorial optimization tasks, the relative uncertainty of the selected energy effectiveness indicators was assumed. The results of calculations confirm the influence of the number of redundant measurements and their location in the measurement systems on the accepted criteria of optimization. An idea to apply in the data reconciliation method the measurements uncertainties expressed by fuzzy numbers has been presented. As a criterion for comparison of the results of calculations for both types of uncertainties, the relative entropy of information as well as the complex standard uncertainties of main assessment indicators of analysed combined heat-and-power unit operation supervision has been chosen. The advanced data validation and reconciliation method was introduced and developed in Poland to the thermodynamic analyses of energy conversion processes by professor Jan Szargut. The above issues constitute further researches on the development and application of this method in thermodynamics analyses performed by the author of this paper.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:161:y:2018:i:c:p:156-171
    DOI: 10.1016/j.energy.2018.07.094
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    References listed on IDEAS

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    1. 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.
    2. 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. Żymełka, Piotr & Szega, Marcin, 2020. "Issues of an improving the accuracy of energy carriers production forecasting in a computer-aided system for monitoring the operation of a gas-fired cogeneration plant," Energy, Elsevier, vol. 209(C).
    2. Plis, Marcin & Rusinowski, Henryk, 2019. "Identification of mathematical models of thermal processes with reconciled measurement results," Energy, Elsevier, vol. 177(C), pages 192-202.
    3. 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.
    4. Szega, Marcin & Żymełka, Piotr & Janda, Tomasz, 2022. "Improving the accuracy of electricity and heat production forecasting in a supervision computer system of a selected gas-fired CHP plant operation," Energy, Elsevier, vol. 239(PE).
    5. Tatarczuk, Adam & Szega, Marcin & Zuwała, Jarosław, 2023. "Thermodynamic analysis of a post-combustion carbon dioxide capture process in a pilot plant equipped with a heat integrated stripper," Energy, Elsevier, vol. 278(PA).
    6. Szega, Marcin & Czyż, Tomasz, 2019. "Problems of calculation the energy efficiency of a dual-fuel steam boiler fired with industrial waste gases," Energy, Elsevier, vol. 178(C), pages 134-144.
    7. Szega, Marcin, 2020. "Methodology of advanced data validation and reconciliation application in industrial thermal processes," Energy, Elsevier, vol. 198(C).

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