Dynamic risk assessment of chemical process systems using the System-Theoretic accident model and process approach (STAMP) in combination with cascading failure propagation model (CFPM)

Sun, Hao; Wang, Haiqing; Yang, M.; Reniers, G.L.L.M.E.

doi:10.1016/j.ssci.2023.106375

Dynamic risk assessment of chemical process systems using the System-Theoretic accident model and process approach (STAMP) in combination with cascading failure propagation model (CFPM)

Title

Dynamic risk assessment of chemical process systems using the System-Theoretic accident model and process approach (STAMP) in combination with cascading failure propagation model (CFPM)

Author

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

Date

2024

Abstract

To maintain continuous production, chemical plant operators may ignore faults or handle faults online rather than shutting down process systems. However, interaction and interdependence links between components in a digitalized process system are substantial. Thus, faults will be propagated to downstream nodes, potentially leading to risk accumulation and major accidents. However, limited attention has been paid to this type of risk. To model the risk accumulation process, a dynamic risk assessment method is proposed by integrating the system-theoretic accident model and process approach (STAMP) and the cascading failure propagation model (CFPM). Firstly, STAMP is used to model and analyze the system safety of a process system. Two CFPMs are then proposed to measure risk accumulation under two different engineering situations. The proposed method is applied to the Chevron Richmond refinery crude unit and its associated upstream process. The results show that the proposed approach can effectively quantify the process of risk accumulation. This method can generate a real-time dynamic risk profile to support auxiliary decision-making.

Subject

Cascading failure propagation model (CFPM)
Fault propagation
Risk accumulation
STAMP

To reference this document use:

http://resolver.tudelft.nl/uuid:740ae19e-044a-4bb1-80c8-0c3da244b184

DOI

https://doi.org/10.1016/j.ssci.2023.106375

ISSN

0925-7535

Source

Safety Science, 171

Part of collection

Institutional Repository