A model of random pulsations of radiant heat flow from a flammable liquid fire

 

Popov Oleksandr

Center for Information-analytical and Technical

Support of Nuclear Power Facilities Monitoring

of the NAS of Ukraine

https://orcid.org/0000-0002-5065-3822

 

Danilin Oleksandr

National University of Civil Defence of Ukraine

http://orcid.org/0000-0002-4474-7179

 

Petukhova Olena

National University of Civil Defence of Ukraine

http://orcid.org/0000-0002-4832-1255

 

Borodych Pavlo

National University of Civil Defence of Ukraine

http://orcid.org/0000-0001-9933-8498

 

DOI: https://doi.org/10.52363/2524-0226-2023-38-11

 

Keywords: spill fire, fire in the tank farm, thermal effect of fire, heat exchange

 

Аnnotation

 

The object of the study is the process of liquid combustion in a tank or in a spill. Unlike the standard approach that assumes the shape of the flame is constant, random pulsations of the flame due to the turbulent mode of liquid combustion are considered. The pulsations lead to the random nature of the mutual radiation coefficient and the temperature of the radiating surface of the flame. This leads to a random value of the radiant heat flux density from the fire. Using the central limit theorem allows justifying the assumption about the normal law of the distribution of the radiant heat flux density, the mutual radiation coefficient and the temperature of the radiating surface of the flame. The assumption of a normal distribution law allows calculating the mathematical expectation of the heat flux density. It is shown that the average value of the heat flux density increases with an increase in the dispersion of the temperature of the radiating surface and the coefficient of mutual radiation, as well as with an increase in the correlation coefficient between them. It means that neglecting random flame pulsations can lead to underestimates of the average heat flux density from a fire. The dispersion of the radiant heat flux density was found and it was shown that it increases with the growth of the dispersion of the flame temperature and the mutual radiation coefficient. The standard deviation of the heat flux density can be more than 40 % of its average value if the standard deviations of the flame temperature and the mutual radiation coefficient are up to 10 % of their average values. The obtained results can be used to clarify the thermal effect of a liquid fire on neighboring objects.

 

References

 

  1. Landucci, G., Gubinelli, G., Antonioni, G., Cozzani, V. (2009). The assessment of the damage probability of storage tanks in domino events triggered by fire. Accident Analysis & Prevention, 41(6), 1206–1215. doi: 10.1016/j.aap.2008.05.006
  2. Elhelw, M., El-Shobaky, A., Attia, A., El-Maghlany, W. M. (2021). Advanced dynamic modeling study of fire and smoke of crude oil storage tanks. Process Safety and Environmental Protection, 146, 670–685. doi: 10.1016/j.psep.2020.12.002
  3. Yang, R., Khan, F., Neto, E. T., Rusli, R., Ji, J. (2020). Could pool fire alone cause a domino effect? Reliability Engineering & System Safety, 202, 106976. doi: 10.1016/j.ress.2020.106976
  4. Reniers, G., Cozzani, V. (2013). 3 – Features of Escalation Scenarios. Elsevier. Domino Effects in the Process Industries, 30–42. doi: 10.1016/B978-0-444-54323-3.00003-8
  5. Liu, J., Li, D., Wang, Z., Chai, X. (2021). A state-of-the-art research progress and prospect of liquid fuel spill fires. Case Studies in Thermal Engineering, 28, 101421. doi: 10.1016/j.csite.2021.101421
  6. Tauseef, S., Abbasi, T., Pompapathi, V., Abbasi, S. (2018). Case studies of 28 major accidents of fires/explosions in storage tank farms in the backdrop of available codes/standards/models for safely configuring such tank farms. Process Safety and Environmental Protection, 120, 331–338. doi: 10.1016/j.psep.2018.09.017
  7. Li, X., Chen, G., Amyotte, P., Alauddin, M., Khan, F. (2023). Modeling and analysis of domino effect in petrochemical storage tank farms under the synergistic effect of explosion and fire. Process Safety and Environmental Protection, 176, 706–715. doi: 10.1016/j.psep.2023.06.054
  8. Khakzad, N., Amyotte, P., Cozzani, V., Reniers, G., Pasman, H. (2018). How to address model uncertainty in the escalation of domino effects? Journal of Loss Prevention in the Process Industries, 54, 49–56. doi: 10.1016/j.jlp.2018.03.001
  9. Ahmadi, O., Mortazavi, S. B., Pasdarshahri, H., Mohabadi, H. A. (2019). Consequence analysis of large-scale pool fire in oil storage terminal based on computational fluid dynamic (CFD). Process Safety and Environmental Protection, 123, 379–389. doi: 10.1016/j.psep.2019.01.006
  10. Yang, J., Zhang, M., Zuo, Y., Cui, X., Liang, C. (2023). Improved models of failure time for atmospheric tanks under the coupling effect of multiple pool fires. Journal of Loss Prevention in the Process Industries, 81, 104957. doi: 10.1016/j.jlp.2022.104957
  11. Chen, Y., Fang, J., Zhang, X., Miao, Y., Lin, Y., Tu, R., Hu, L. (2023). Pool fire dynamics: Principles, models and recent advances. Progress in Energy and Combustion Science, 95, 101070. doi: 10.1016/j.pecs.2022.101070
  12. Sun, X., Zhang, X., Lv, J., Chen, X., Hu, L. (2023). Experimental study on the buoyant turbulent diffusion flame height of various intermittent levels. Applied Energy, 351, 121699. Doi: 10.1016/j.apenergy.2023.121699
  13. Zhao, J., Song, G., Zhang, Q., Li, X., Huang, H., Zhang, J. (2023). Experimental study on flame length and pulsation behavior of n-heptane continuous spill fires on water. Journal of Loss Prevention in the Process Industries, 85, 105174. doi: 10.1016/j.jlp.2023.105174
  14. Guo, Y., Xiao, G., Wang, L., Chen, C., Deng, H., Mi, H., Tu, C., Li, Y. (2023). Pool fire burning characteristics and risks under wind-free conditions: State-of-the-art. Fire Safety Journal, 136, 103755. doi: 10.1016/j.firesaf.2023.103755
  15. Huang, X., Huang, T., Zhuo, X., Tang, F., He, L., & Wen, J. (2021). A global model for flame pulsation frequency of buoyancy-controlled rectangular gas fuel fire with different boundaries. Fuel, 289, 119857. doi: 10.1016/j.fuel.2020.119857
  16. Biswas, K., Zheng, Y., Kim, C. H., Gore, J. (2007). Stochastic time series analysis of pulsating buoyant pool fires. Proceedings of the Combustion Institute, 31(2), 2581–2588. doi: 10.1016/j.proci.2006.07.234
  17. Abramov, Y., Basmanov, O., Oliinik, V., Kolokolov, V. (2022). Stochastic model of heating the shell of a tank under thermal effect of a fire. Problems of Emergency Situations, 1(35), 4–16. doi: 10.52363/2524-0226-2022-35-1