Engineering method for determining rational fire protection parameters of warehouses

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.201819

Keywords:

fire protection system, fire damage, fire protection costs, probability of system failure

Abstract

A mathematical model and methodology has been developed to determine the optimal amount of means of a fire-prevention system for protecting warehouses in enclosed spaces, on the basis of which it is possible to determine measures to improve this system, taking into account the value of the probability of its failure acceptable for the warehouse. The essence of the developed methodology is to determine the required number of fire protection equipment in accordance with the standards, to determine the probability of failure of fire protection and to determine the optimal number of fire protection equipment to ensure the value of the probability of failure within acceptable limits. The optimization criteria selected direct losses from the fire and the costs of fire and rescue units to extinguish it. The function of the goal of this model is to reduce the probability of failure of the fire system of the object to a value less than or equal to the permissible. The input data when using the mathematical model is the estimated number of fire protection equipment in accordance with the norms and standards.

The developed methodology allows predicting the probability of failure of the fire system to implement the fire safety of the objects of protection and its consequences for people and material values, which is very important to ensure the possibility of quick response in case of fire. Also, the result of applying the technique is the optimal amount of firefighting equipment at the facility, providing an acceptable value for the probability of failures. This technique is applied on the example of an existing logistic warehouse on which fire protection systems are mounted. Simulation results show that at the facility it is necessary to increase the number of fire detectors up to 70 pieces, smoke control devices – up to 3 pieces, vertical curtains – up to 4, equip aeration lamps in the amount of 4 pieces, and increase the number of evacuation exits - up to 10

Author Biographies

Edward Hulida, Lviv State University of Life Safety Kleparivska str., 35, Lviv, Ukraine, 79007

Doctor of Technical Sciences, Professor

Department of Fire Tactics and Emergency Rescue Operations

Ivan Pasnak, Lviv State University of Life Safety Kleparivska str., 35, Lviv, Ukraine, 79007

PhD, Associate Professor

Institute of Fire and Technogenic Safety

Artur Renkas, Lviv State University of Life Safety Kleparivska str., 35, Lviv, Ukraine, 79007

PhD

Department of Operation of Vehicles and Fire Rescue Equipment

Volodymyr Sharyy, Lviv State University of Life Safety Kleparivska str., 35, Lviv, Ukraine, 79007

Adjunct

Department of Fire Tactics and Emergency Rescue Operations

References

  1. Hulida, E. M. (2016). Influence of fire risk on fire losses in the rooms of various facilities. Pozhezhna bezpeka, 28, 36–42.
  2. Analitychna dovidka pro pozhezhi ta yikh naslidky v Ukraini za 12 misiatsiv 2019 roku (2019). Kyiv, 56. Available at: https://undicz.dsns.gov.ua/files/2020/1/27/Analitychna%20dovidka%20pro%20pojeji_12.2019.pdf
  3. Campbell, R. (2016). Structure fires in warehouse properties. National Fire Protection Association.
  4. Ahrens, M. (2009). Warehouse fires excluding cold storage. National Fire Protection Association.
  5. DBN V.2.5-56:2014. Systemy protypozhezhnoho zakhystu. Inzhenerne obladnannia budynkiv i sporud.
  6. Holshchevnikov, V. V. (2003). Problems of evaluation of people’s safety in case of fire in unique buildings and installations. Pozharovzryvobezopasnost', 4, 21–27.
  7. Khrystych, V. V., Derevianko, O. A., Bondarenko, S. M., Antoshkin, O. A. (2001). Systemy pozhezhnoi ta okhoronnoi syhnalizatsiyi. Kharkiv: APBU MVS, 104.
  8. Voitovych, D. P. (2011). Pidvyshchennia efektyvnosti funktsionuvannia pozhezhno-riatuvalnykh pidrozdiliv v protsesi likvidatsiyi pozhezhi. Lviv.
  9. Xiaojun, C., Lizhong, Y., Zhihua, D., Weicheng, F. (2005). A multi-layer zone model for predicting fire behavior in a fire room. Fire Safety Journal, 40 (3), 267–281. doi: https://doi.org/10.1016/j.firesaf.2005.01.005
  10. Pro zatverdzhennia kryteriyiv, za yakymy otsiniuietsia stupin ryzyku vid provadzhennia hospodarskoi diyalnosti ta vyznachaietsia periodychnist zdisnennia planovykh zakhodiv derzhavnoho nahliadu (kontroliu) u sferi tekhnohennoi ta pozhezhnoi bezpeky vid 29.02.2012 No. 306. Verkhovna Rada Ukrainy. Available at: https://zakon.rada.gov.ua/laws/show/306-2012-%D0%BF?lang=uk
  11. Kong, D., Lu, S., Kang, Q., Lo, S., Xie, Q. (2011). Fuzzy Risk Assessment for Life Safety Under Building Fires. Fire Technology, 50 (4), 977–991. doi: https://doi.org/10.1007/s10694-011-0223-z
  12. Rausand, M. (2014). Reliability of Safety‐Critical Systems: Theory and Applications. John Wiley & Sons. doi: https://doi.org/10.1002/9781118776353
  13. Moinuddin, K. A. M., Thomas, I. R. (2014). Reliability of sprinkler system in Australian high rise office buildings. Fire Safety Journal, 63, 52–68. doi: https://doi.org/10.1016/j.firesaf.2013.11.009
  14. Paś, J. (2015). Selected Methods For Increases Reliability The Of Electronic Systems Security. Journal of KONBiN, 35 (1), 147–156. doi: https://doi.org/10.1515/jok-2015-0048
  15. Klimczak, T., Paś, J. (2019). Reliability and Operating Analysis of Transmission of Alarm Signals of Distributed Fire Signaling System. Journal of KONBiN, 49 (1), 165–174. doi: https://doi.org/10.2478/jok-2019-0009
  16. Akhmedova, A., Shevtsova, T., Kotlyarov, R., Krol, A. (2019). Estimation of Reliability of Fire Alarm System. Food Processing: Techniques and Technology, 48 (4), 79–86. doi: https://doi.org/10.21603/2074-9414-2018-4-79-86
  17. Alvarez, A., Meacham, B. J., Dembsey, N. A., Thomas, J. R. (2013). A Framework for Risk-Informed Performance-Based Fire Protection Design for the Built Environment. Fire Technology, 50 (2), 161–181. doi: https://doi.org/10.1007/s10694-013-0366-1
  18. DBN V.1.1-7:2016. Pozhezhna bezpeka obiektiv budivnytstva. Zahalni vymohy.
  19. Hulida, E., Pasnak, I., Koval, O., Tryhuba, A. (2019). Determination of the Critical Time of Fire in the Building and Ensure Successful Evacuation of People. Periodica Polytechnica Civil Engineering, 63 (1), 308–316. doi: https://doi.org/10.3311/ppci.12760

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Published

2020-04-30

How to Cite

Hulida, E., Pasnak, I., Renkas, A., & Sharyy, V. (2020). Engineering method for determining rational fire protection parameters of warehouses. Eastern-European Journal of Enterprise Technologies, 2(10 (104), 38–45. https://doi.org/10.15587/1729-4061.2020.201819