Dynamic Event Tree Analysis as a Tool for Risk Assessment in Nuclear Fusion Plants Using RAVEN and MELCOR

In the broad framework of nuclear power plants (NPPs) industry, dynamic probabilistic risk assessment could answer time dependence deficiency event tree and fault analysis. The basic approach relies on experts’ pre-constructed accident sequences without exploring time-dependent nature an scenario, which strongly affect sequence. Conversely, effects events timing can be studied by adopting a (DET) approach. Developing DET methodology requires integrating system code capable replicating scenario logic-driver able to generate sequence, trigger plant safety systems, manage other relevant throughout simulation. For this purpose, Methods for Estimation Leakages Consequences Release (MELCOR) reactor analysis virtual control environment (RAVEN) have been coupled through Python script developed Sapienza University Rome, Italy, perform studies during transients in fusion fission reactors. RAVEN is software tool at Idaho National Laboratory (INL), Falls, ID, USA, act as logic driver post-processing different applications. MELCOR fully integrated design basis severe that simulates thermal-hydraulic behavior self-consistently accounting aerosol transport facilities cooling systems evaluation source term coupling between these codes will provide wide range NPP analyses, establishing new best practices. work, preliminary study has performed, selecting initiating ex-vessel loss coolant (LOCA) water-cooled lithium lead test blanket (WCLL TBS) tested International Thermonuclear Experimental Reactor (ITER). Time-dependent parameters such intervention plasma shutdown closure main isolation valves sampled evolving scenarios.