Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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A software tool for integrated risk assessment of spent fuel transportation and storage

  • Yun, Mirae (Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology) ;
  • Christian, Robby (Department of Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute) ;
  • Kim, Bo Gyung (Korea Institute of Nuclear Safety) ;
  • Almomani, Belal (Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology) ;
  • Ham, Jaehyun (Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology) ;
  • Lee, Sanghoon (Department of Mechanical and Automotive Engineering, Keimyung University) ;
  • Kang, Hyun Gook (Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology)
  • Received : 2016.06.13
  • Accepted : 2017.01.30
  • Published : 2017.08.25
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Abstract

When temporary spent fuel storage pools at nuclear power plants reach their capacity limit, the spent fuel must be moved to an alternative storage facility. However, radioactive materials must be handled and stored carefully to avoid severe consequences to the environment. In this study, the risks of three potential accident scenarios (i.e., maritime transportation, an aircraft crashing into an interim storage facility, and on-site transportation) associated with the spent fuel transportation process were analyzed using a probabilistic approach. For each scenario, the probabilities and the consequences were calculated separately to assess the risks: the probabilities were calculated using existing data and statistical models, and the consequences were calculated using computation models. Risk assessment software was developed to conveniently integrate the three scenarios. The risks were analyzed using the developed software according to the shipment route, building characteristics, and spent fuel handling environment. As a result of the risk analysis with varying accident conditions, transportation and storage strategies with relatively low risk were developed for regulators and licensees. The focus of this study was the risk assessment methodology; however, the applied model and input data have some uncertainties. Further research to reduce these uncertainties will improve the accuracy of this model.

Keywords

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