The transport of hydrogen and carbon dioxide through pipelines is important for energy and industrial processes; however, it represents a certain risk to humans and the environment in the event of pipeline damage and gas release. In this thesis, major accident scenarios that may occur due to pipeline failure were first identified based on scientific literature. The frequency of accident occurrence was calculated using the fault tree analysis method, where the probabilities of basic events were obtained from literature sources. The consequences of gas release on humans were assessed using data from safety data sheets and the physicochemical properties of the gases. Based on the frequency and consequence classes, the overall level of risk was determined using a risk matrix.The results showed that the frequency of hydrogen release is 9.63·10$^{-7}$ (1/year), while the frequency of carbon dioxide release is 1·10$^{-6}$ (1/year). Based on the risk matrix, it was found that carbon dioxide release represents a higher level of risk than hydrogen release.The thesis also presents measures for risk reduction. Safety valves that automatically close in the event of a leak proved to be an effective measure, as they prevent further gas release from the pipeline. The use of gas leak detection systems is also important, as they enable rapid detection of failures and timely response. These systems include pressure sensors, gas concentration sensors, and automated control systems that trigger alarms or automatically isolate sections of the pipeline when increased gas concentrations are detected. With a proper combination of technical and organizational measures, it is possible to reduce the frequency of accident occurrence and limit its consequences.The results of this thesis show that fault tree analysis and the risk matrix method are suitable for risk assessment in gas pipeline transport and enable comparison of risks between different gases. This thesis provides a basis for further risk analyses in industrial applications.
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