Quantitative assessment of wildfire risk in oil facilities

Journal Article (2018)
Author(s)

Nima Khakzad (TU Delft - Safety and Security Science)

Mohammad Dadashzadeh (Ulster University)

Genserik Reniers (TU Delft - Safety and Security Science)

DOI related publication
https://doi.org/10.1016/j.jenvman.2018.06.062 Final published version
More Info
expand_more
Publication Year
2018
Language
English
Volume number
223
Pages (from-to)
433-443
Downloads counter
126

Abstract

Despite frequent occurrence of wildfires around the world, the role of wildfires has rarely been taken into account in risk assessment of process plants in wildlands, especially that large inventory of flammable petroleum products in contact with the heat of wildfire can lead to severe domino effects. We have developed a dynamic risk assessment framework by integrating available models of fire spread and domino effect analysis with online maps of wildfire characteristics such as ignition probability and heat intensity to investigate the impact of wildfires on oil facilities. The framework is modular, so one can readily enhance its accuracy by replacing the current techniques with more sophisticated ones. The application of the methodology is demonstrated on an oil terminal.