Developing a Petri-net approach for emergency response modeling and time analysis of process accidents considering the execution characteristics of emergency tasks

Journal Article (2025)
Author(s)

Jianfeng Zhou (Guangdong University of Technology)

Genserik Reniers (TU Delft - Safety and Security Science, Universiteit Antwerpen, Katholieke Universiteit Leuven)

Research Group
Safety and Security Science
DOI related publication
https://doi.org/10.1016/j.jlp.2025.105753
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Publication Year
2025
Language
English
Research Group
Safety and Security Science
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Journal title
Journal of Loss Prevention in the Process Industries
Volume number
98
Article number
105753
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Abstract

In the process industry, hazardous chemical accidents can easily cause heavy loss, and emergency response is an important approach to reduce it. In the process of emergency response, many emergency tasks have different characteristics in their execution. This study analyzes the impact of the dynamic changes of emergency response personnel on the emergency tasks, and deduces the relationship between the execution time of an emergency task and the number of people with the time they join the task. Aiming to model the emergency response process under the possible dynamic change of the emergency task execution time, the dynamic timed Petri-net (DTPN) is proposed by improving the timed Petri-net (TPN) on the basis of the execution mechanism of transition, and the corresponding models are established according to several basic execution characteristics of the emergency tasks. The proposed approach is used to model the emergency response of on-site responders to a fire in a storage tank, and the time analysis is carried out. The results show that the approach can well solve the problem of modeling and analysis of emergency tasks with dynamic execution characteristics.

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