A methodology based on Dijkstra's algorithm and mathematical programming for optimal evacuation in process plants in the event of major tank fires

Nima Khakzad

Reliability Engineering and System Safety, 2023, vol. 236, issue C

Abstract: Effective evacuation plans are essential to protecting workers in the event of major fires in process plants. However, despite some general guidelines, there is no specific methodology available for identification of such plans. In the present study, we have developed a methodology for identifying optimal evacuation strategies in the event of single and multiple tank fires. In this study, considering heat flux as the main cause of casualties in outdoor fires, the conventional relationship for calculating thermal dose was first modified to estimate the values of thermal dose more accurately. The Dijkstra's algorithm was then employed to identify the evacuation paths to safe spots. Due to the limited capacity of safe spots, mathematical programming was used to determine how many people should be allocated to each safe spot and via which evacuation path so as to minimize the risk of casualties. The developed methodology was demonstrated to outperform the ad hoc evacuation plans in minimizing the casualties while allowing the analyst to update the evacuation plans in accordance with the evolution of fire scenarios.

Keywords: Tank fire; Domino effect; Evacuation; Thermal dose; Dijkstra's algorithm; Optimization; Mathematical programming (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832023002065
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:236:y:2023:i:c:s0951832023002065

DOI: 10.1016/j.ress.2023.109291

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().