Safety analysis of blended hydrogen pipelines using dynamic object-oriented bayesian network

Energy demand is increasing rapidly while traditional fossil fuel resources are depleting. Hydrogen is considered a promising alternate fuel. The safety of hydrogen transportation is a key issue that warrants greater attention, primarily to determine how existing pipelines of natural gas transportation can be used for hydrogen transportation. This study has proposed a safety analysis model using the physics and mechanistic approach of hydrogen-associated degradation. A dynamic Object-Oriented Bayesian network (OOBN) model is proposed to study the mechanisms and physics of failure with hydrogen associated degradation. The proposed model is explained using an industrial case study. Results show low-strength steel is less susceptible to hydrogen-associated degradation than high-strength steel pipes. Moisture, internal stress, and loss of metal ductility are key parameters that require detailed attention. The results of dynamic OOBN also indicate that hydrogen release probability follows a non-linear behavior dependent on the type of metal and operating conditions. The study identifies that controlling the corrosion rate can help ensure the safety of blended hydrogen pipelines.(c) 2023 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.