Research Output: Data-driven and Scenario-based Risk and Reliability Assessment Framework

Research Output

Data-driven and Scenario-based Risk and Reliability Assessment Framework:A Case Study on Hydrogen Bunkering

As global decarbonisation efforts accelerate, the adoption of alternative fuels such as hydrogen is gaining momentum in the maritime sector. However, safety regulations for emerging technologies—particularly hydrogen bunkering systems—remain relatively underdeveloped, highlighting the need for more systematic and risk-based approaches.

This research presents a data-driven and scenario-based framework for assessing risk and reliability in hydrogen bunkering operations. By integrating methods such as Dynamic Failure Modes and Effects Analysis (D-FMEA), Dynamic Fault Tree Analysis (D-FTA), and scenario-based simulations, the framework enables both component-level and system-level evaluation. It also captures time-dependent behaviour and operational variability, offering a more comprehensive understanding of potential risks.

The proposed approach supports more consistent and scalable safety assessments by incorporating real-world data and flexible modelling structures. It further allows for comparison across different vessel types and operational conditions, contributing to more informed decision-making in the design and management of alternative fuel systems.

Overall, this work provides a practical foundation for enhancing safety and reliability in hydrogen-based maritime applications, supporting the broader transition toward low-carbon and sustainable shipping.

👉 For more details, please refer to the link below.

🔗 DOI: https://lnkd.in/gxF7Hem6