Dynamic-risk-informed safety barrier management: An application to cost-effective barrier optimization based on data from multiple sources

Yuan, S.; Reniers, G.L.L.M.E.; Yang, M.

doi:10.1016/j.jlp.2023.105034

Dynamic-risk-informed safety barrier management

Title

Dynamic-risk-informed safety barrier management: An application to cost-effective barrier optimization based on data from multiple sources

Author

Yuan, S. (TU Delft Safety and Security Science)
Reniers, G.L.L.M.E. (TU Delft Safety and Security Science; Universiteit Antwerpen; Katholieke Universiteit Leuven)
Yang, M. (TU Delft Safety and Security Science; Universiti Teknologi Malaysia; University of Tasmania)

Date

2023

Abstract

An integrated approach for performance assessment and management of safety barriers in a systemic manner is needed concerning the prevention and mitigation of major accidents in chemical process industries. Particularly, the effects of safety barriers on system risk reduction should be assessed in a dynamic manner to support the decision-making on safety barrier establishments and improvements. A simulation approach, named Simulink-based Safety Barrier Modeling (SSBM), is proposed in this paper to conduct dynamic risk assessment of chemical facilities with the consideration of the degradation of safety barriers. The main functional features of the SSBM include i) the basic model structures of SSBM can be determined based on bow-tie diagrams, ii) multiple data (periodic proof test data, continuous condition-monitoring data, and accident precursor data) may be combined to update barrier failure probabilities and initiating event probabilities, iii) SSBM is able to handle uncertainty propagation in probabilistic risk assessment by using Monte Carlo simulations, and iv) cost-effectiveness analysis (CEA) and optimization algorithms are integrated to support the decision-making on safety barrier establishments and improvements. An illustrative case study is demonstrated to show the procedures of applying the SSBM on dynamic risk-informed safety barrier management and validate the feasibility of implementing the SSBM for cost-effective safety barrier optimization.

Subject

Bayesian updating
Condition monitoring
Cost-effectiveness analysis
Dynamic risk assessment
Safety barrier degradation
Safety barrier management

To reference this document use:

http://resolver.tudelft.nl/uuid:4f9df1bb-e3d2-45dd-9794-99ee5c1cc435

DOI

https://doi.org/10.1016/j.jlp.2023.105034

ISSN

0950-4230

Source

Journal of Loss Prevention in the Process Industries: the international journal of chemical and process plant safety, 83

Part of collection

Institutional Repository