DOI QR코드

DOI QR Code

Development of advanced rigorous two-step code system for evaluation of radioactive waste with high-resolution activation calculation

  • Kim, Do Hyun (Korea Atomic Energy Research Institute (KAERI)) ;
  • Kim, Jiseok (Korea Atomic Energy Research Institute (KAERI)) ;
  • Lee, Han Rim (Korea Atomic Energy Research Institute (KAERI)) ;
  • Sun, Gwang Min (Korea Atomic Energy Research Institute (KAERI)) ;
  • Shin, Chang Ho (Department of Nuclear Engineering, Hanyang University) ;
  • Kim, Jong Kyung (Department of Nuclear Engineering, Hanyang University)
  • 투고 : 2020.04.08
  • 심사 : 2020.12.14
  • 발행 : 2021.06.25

초록

Nowadays, evaluation of amounts and distributions of radioactive waste is an important preparatory step in the process of nuclear reactor decommissioning. For tentative estimation of radioactive waste, a cell-based rigorous 2 step (R2S) method usually is used; however, a poor resolution caused by the averaged flux and spectrum in a cell is still a great challenge because of leading to underestimated or overestimated results. To overcome the poor resolution, several systems were introduced. Neither system, however, provides any function for evaluation of radioactive waste amount and distribution. Thus, it is additionally required to classify radioactive waste based on the results of activation calculation. In this study, the advanced R2S (AR2S) system was developed. To verify the performance of the system, its results for a verification problem were compared with those of the cell-based R2S method. The results showed good agreement, which is to say, within 2.0% relative error. Also, several characteristics of fine/coarse mesh were analyzed. To demonstrate the performance of the AR2S system, the radioactive waste from the Japan Power Demonstration Reactor (JPDR) was estimated, and the result indicated a high-resolution distribution. Therefore, it is expected that the AR2S system will prove useful for precise evaluation of radioactive waste.

키워드

과제정보

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (NRF-2018M2A2B3A06071695).

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