Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Smart support system for diagnosing severe accidents in nuclear power plants

  • Yoo, Kwae Hwan (Department of Nuclear Engineering, CHOSUN University) ;
  • Back, Ju Hyun (Department of Nuclear Engineering, CHOSUN University) ;
  • Na, Man Gyun (Department of Nuclear Engineering, CHOSUN University) ;
  • Hur, Seop (Korea Atomic Energy Research Institute) ;
  • Kim, Hyeonmin (Korea Atomic Energy Research Institute)
  • Received : 2018.02.11
  • Accepted : 2018.03.07
  • Published : 2018.05.25
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Abstract

Recently, human errors have very rarely occurred during power generation at nuclear power plants. For this reason, many countries are conducting research on smart support systems of nuclear power plants. Smart support systems can help with operator decisions in severe accident occurrences. In this study, a smart support system was developed by integrating accident prediction functions from previous research and enhancing their prediction capability. Through this system, operators can predict accident scenarios, accident locations, and accident information in advance. In addition, it is possible to decide on the integrity of instruments and predict the life of instruments. The data were obtained using Modular Accident Analysis Program code to simulate severe accident scenarios for the Optimized Power Reactor 1000. The prediction of the accident scenario, accident location, and accident information was conducted using artificial intelligence methods.

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References

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