TY - JOUR
T1 - A STAMP-based approach to quantitative resilience assessment of chemical process systems
AU - Sun, H.
AU - Wang, Haiqing
AU - Yang, Ming
AU - Reniers, Genserik
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Chemical process systems
KW - Resilience assessment
KW - STAMP
KW - Systemic
UR - http://www.scopus.com/inward/record.url?scp=85124809333&partnerID=8YFLogxK
U2 - 10.1016/j.ress.2022.108397
DO - 10.1016/j.ress.2022.108397
M3 - Article
AN - SCOPUS:85124809333
SN - 0951-8320
VL - 222
JO - Reliability Engineering and System Safety
JF - Reliability Engineering and System Safety
M1 - 108397
ER -