An Approach to Update the Failure Rates of Safety Barriers Based on Operating Experience

An Approach to Update the Failure Rates of Safety Barriers Based on Operating Experience

Lee, Shenae (Norwegian University of Science and Technology (NTNU); SINTEF)
Khakzad, Nima (Toronto Metropolitan University)
Schmitz, P.J.H. (TU Delft Safety and Security Science)
Reniers, G.L.L.M.E. (TU Delft Safety and Security Science)
Habrekke, Solfrid (SINTEF)
Paltrinieri, Nicola (Norwegian University of Science and Technology (NTNU))

2022

Hazardous events in process plants like the leakage of dangerous substances can result in severe damage, and such an event is often defined as the TOP event of a fault tree analysis (FTA) in a quantitative risk analysis. The TOP event probability can then be calculated if the basic events probabilities are provided. These probabilities are often determined based on generic reliability data which do not necessarily reflect the operational and environmental characteristics of a plant of interest. This paper presents an approach based on Bayesian network (BN) analysis to explicitly include experience data collected during the plant operation to make the generic probabilities more plant specific. The approach is illustrated via a pressure vessel containing a toxic substance in an Ammonia production plant. In this case study, the failure rate distribution in the BN is updated as the new information becomes available during plant operation. The results show that the suggested approach effectively reflects the operating experience of a specific plant.

http://resolver.tudelft.nl/uuid:af27241b-b880-4241-b101-1fc31b037ddc

https://doi.org/10.3303/CET2290026

1974-9791

Chemical Engineering Transactions, 90, 151-156

Institutional Repository

journal article

© 2022 Shenae Lee, Nima Khakzad, P.J.H. Schmitz, G.L.L.M.E. Reniers, Solfrid Habrekke, Nicola Paltrinieri