A Robust Resilience Methodology for Tacking Safety of Hydrogen Refueling Stations

The safety of hydrogen refuelling stations, as key infrastructure for hydrogen energy applications, is critical in the global energy transition. Hydrogen refuelling station assessment methods focus on reliability and ignore the restoration process after disruption. This study focuses on the resilience of hydrogen refuelling station and introduces a probabilistic approach to assess the resilience of hydrogen refuelling stations. Bayesian network (BN) is utilized as a tool to assess and analyze the resilience. A Dynamic Bayesian Network (DBN)-based methodology is developed to probabilistically assess the resilience of a hydrogen refueling station by incorporating the time course of adaptation and restoration into the analysis of system function. The time required to recover 90% of the lost resilience is determined. The proposed methodology introduces a novel way to define resilience based on a hydrogen refueling station system's functionality changing during and after a disruption.