EXPERIMENTAL STUDY ON ACCIDENT SOURCE TERMS TRANSPORT AND DEPOSITION BEHAVIOR IN NUCLEAR POWER PLANTS

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  • Hosan Md. Iqbal
    Department of Applied Quantum Physics & Nuclear Engineering, Kyushu University, Fukuoka, Japan & Department of Nuclear Engineering, University of Dhaka
  • Koga Mizuki
    Department of Applied Quantum Physics & Nuclear Engineering, Kyushu University
  • Kakoi Akihiro
    Department of Applied Quantum Physics & Nuclear Engineering, Kyushu University
  • Morita Koji
    Department of Applied Quantum Physics & Nuclear Engineering, Kyushu University
  • Liu Wei
    Department of Applied Quantum Physics & Nuclear Engineering, Kyushu University
  • Cheng Xu
    Institute of Applied Thermofluidics, Karlsruhe Institute of Technology

Description

<p>Fukushima Daiichi Nuclear Power Plant accident resulted in a core meltdown, releasing a large amount of radioactive materials into the environment. This accident has reconfirmed the necessity and importance of the further in-depth development of core damage assessment technology (Level 2 PSA). In order to advance the core damage assessment technology, it is necessary to establish a source term migration assessment method through leak paths. We have started basic studies on the fission product (FP) migration behavior through leak paths, aiming to develop an evaluation method for aerosol transport based on transport mechanisms. In this paper, we will report basic decontamination factor (DF) data in narrow circular channels that simulate leak paths through containment vessel (CV) and reactor building. An experimental line is set up, and the experiments are performed under conditions simulate the environmental and flow conditions in the CV penetrations and failure locations at severe accident (SA). The tests are conducted to find the effects of flow path size and particle size on the DFs. DFs are derived from the experimental measurement of the aerosol concentrations at the inlet and outlet of the test sections. The obtained experimental DFs were compared with the existing models developed for aerosol deposition, considering the particle size distributions.</p>

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