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Monitoring of thermal stresses in pressure components based on the wall temperature measurement

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  • Taler, Jan
  • Taler, Dawid
  • Kaczmarski, Karol
  • Dzierwa, Piotr
  • Trojan, Marcin
  • Sobota, Tomasz

Abstract

Thick-wall boiler components limit maximum heating and cooling rates during start-up or shut-down of the boiler. First, the allowable heating rates of the critical pressure components of the boiler were determined, and the temperature of the fluid was determined. The rate of change of the wall temperature of the pressure element and the thermal stress on the inner surface are controlled online and compared with the permissible values. Boiler manufacturers designate thermal stresses on the inner surface of the pressure component on the edge of the hole based on the measurement of the wall temperature at two points located inside it. Due to the low accuracy of the method used by boiler manufacturers, a new stress-determination method has been proposed in this paper in which only the internal temperature measurement point is used to determine the stresses on the inner surface of the component. In the method proposed in the paper, first, the internal surface temperature is determined from the inverse heat conduction solution, and then the stresses are calculated. Numerous computational tests were performed for cylindrical and spherical elements. Thermal stresses on the inner surface were also determined based on actual measurement data. Thermal stresses can be monitored at small time intervals. The advantage of the method is its high accuracy even at rapid changes in the fluid temperature.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:160:y:2018:i:c:p:500-519
    DOI: 10.1016/j.energy.2018.07.010
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    Citations

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    Cited by:

    1. Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Zhao, Guanjia & Ma, Suxia, 2023. "Data-driven modeling-based digital twin of supercritical coal-fired boiler for metal temperature anomaly detection," Energy, Elsevier, vol. 278(PA).
    2. Taler, Jan & Dzierwa, Piotr & Jaremkiewicz, Magdalena & Taler, Dawid & Kaczmarski, Karol & Trojan, Marcin & Sobota, Tomasz, 2019. "Thermal stress monitoring in thick walled pressure components of steam boilers," Energy, Elsevier, vol. 175(C), pages 645-666.
    3. Judt, W. & Ciupek, B. & Urbaniak, R., 2020. "Numerical study of a heat transfer process in a low power heating boiler equipped with afterburning chamber," Energy, Elsevier, vol. 196(C).
    4. Laubscher, Ryno, 2019. "Time-series forecasting of coal-fired power plant reheater metal temperatures using encoder-decoder recurrent neural networks," Energy, Elsevier, vol. 189(C).
    5. Jiří Jaromír Klemeš & Petar Sabev Varbanov & Paweł Ocłoń & Hon Huin Chin, 2019. "Towards Efficient and Clean Process Integration: Utilisation of Renewable Resources and Energy-Saving Technologies," Energies, MDPI, vol. 12(21), pages 1-32, October.
    6. Majdak, Marek & Grądziel, Sławomir, 2020. "Influence of thermal and flow conditions on the thermal stresses distribution in the evaporator tubes," Energy, Elsevier, vol. 209(C).
    7. Karol Kaczmarski, 2022. "Identification of Transient Steam Temperature at the Inlet of the Pipeline Based on the Measured Steam Temperature at the Pipeline Outlet," Energies, MDPI, vol. 15(16), pages 1-18, August.

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