A STAMP-based approach to quantitative resilience assessment of chemical process systems

A STAMP-based approach to quantitative resilience assessment of chemical process systems

Sun, H. (TU Delft Safety and Security Science; China University of Petroleum (East China))
Wang, Haiqing (China University of Petroleum (East China))
Yang, M. (TU Delft Safety and Security Science)
Reniers, G.L.L.M.E. (TU Delft Safety and Security Science; Universiteit Antwerpen; Katholieke Universiteit Leuven)

2022

Chemical process systems (CPSs) involve complex dynamic processes. Besides, the emergent and uncertain hazards and disruptions cannot be identified entirely and prevented by conventional methods. In those situations, resilience for CPSs plays an essential role in absorbing, adapting to disruptions, and restoring from damages. Systemic modeling plays a vital role in assessing resilience. A system-based analysis model, system-theoretic accident model, and process (STAMP) can provide a robust framework. This paper develops a comprehensive methodology to systematically model and assess system resilience. The STAMP is employed to model and analyze the system safety of a process system. A new method of dynamic resilience assessment is then proposed to quantify the resilience of the system. The proposed method is applied to the diesel oil hydrogenation system. The results show that it quantifies the resilience of complex process systems considering human and organizational factors in a dynamic manner.

Chemical process systems
Resilience assessment
STAMP
Systemic

http://resolver.tudelft.nl/uuid:67dcf697-9326-4cad-b39a-c3d28ff7e03c

https://doi.org/10.1016/j.ress.2022.108397

0951-8320

Reliability Engineering & System Safety, 222

Institutional Repository

journal article

© 2022 H. Sun, Haiqing Wang, M. Yang, G.L.L.M.E. Reniers