Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 222, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2022.108397
Keywords
STAMP; Resilience assessment; Systemic; Chemical process systems
Funding
- National Key R&D Program of China [2019YFB2006305]
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Chemical process systems involve complex dynamic processes, and conventional methods cannot entirely identify and prevent emergent and uncertain hazards and disruptions. In these situations, resilience for CPSs is crucial for absorbing, adapting to disruptions, and restoring from damages. Systemic modeling and assessing resilience play vital roles, and the STAMP framework provides a robust analysis model.
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.
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