Extension of Monte Carlo code MCS to spent fuel cask shielding analysis
SUMMARY The shielding analysis of the spent fuel dry storage cask TN‐32 is carried out using the continuous‐energy Monte Carlo neutron‐ and photon‐transport code MCS developed by the Computational Reactor Physics and Experiment laboratory of the Ulsan National Institute of Science and Technology. Th...
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Veröffentlicht in: | International journal of energy research 2020-08, Vol.44 (10), p.8089-8102 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | SUMMARY
The shielding analysis of the spent fuel dry storage cask TN‐32 is carried out using the continuous‐energy Monte Carlo neutron‐ and photon‐transport code MCS developed by the Computational Reactor Physics and Experiment laboratory of the Ulsan National Institute of Science and Technology. The shielding analysis involves the transport simulation of the decay neutrons and gammas emitted by the spent fuel to obtain the neutron and gamma dose rate values outside of the cask. This deep‐penetration problem is solved by means of weight window population control as variance reduction. The TN‐32 cask calculations are repeated with the MCNP6 Monte Carlo code for verification purpose and a good agreement within three standard deviations is observed between MCS and MCNP6. The neutron dose rate on the cask surface and 2 m away from the cask can be calculated with MCS, whereas the photon dose rate calculation for positions outside of the cask will be further improved by employing more sophisticated variance reduction techniques.
The capabilities of the Monte Carlo code MCS have been extended to tackle the shielding analysis of spent fuel casks with high efficiency and reliability. Results obtained from MCS show good agreement with those from the reference code MCNP6. The features deployed in MCS offer a user‐friendly environment, facilitating the modeling of complex geometrical structures and enabling deep‐penetration shielding analysis, thanks to weight‐window based variance reduction technique and tally convergence tests, which allow users to obtain reliable results in reasonable calculation times. |
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ISSN: | 0363-907X 1099-114X |
DOI: | 10.1002/er.5023 |