论文信息 - Probabilistic Risk Assessment Using Dynamic Flowgraph Methodology for Copper Chloride CANDU-SCWR Hydrogen Production

Probabilistic Risk Assessment Using Dynamic Flowgraph Methodology for Copper Chloride CANDU-SCWR Hydrogen Production

Abstract Copper chloride cycle is a proven efficient method to separate hydrogen from water. Super Critical Water Reactor (SCWR) is the focus of generation IV reactor design for optimization of the nuclear energy. This research has modeled an integration of copper chloride cycle hydrogen and oxygen units with the proposed SCWR Primary Heat Transport (PHT) cycle, to accommodate the load variation and to compensate SCWR excessive heat produced during off peak hours. Copper chloride cycle is regenerative and can meet up to fifty percent of its heat requirements; the research investigates the efficiency and safety of a switch over between self-generated and external heat mechanism. The integration is analyzed for its reliability by using the conventional fault tree method and state of the art dynamic flowgraph methodology. Dynamic flowgraph methodology dymonda software analysis produced probable alternates, depicting the probabilistic risk assessment for the integration model.

Fayyaz Ahmed

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