DOI QR코드

DOI QR Code

Comparing the performance of two hybrid deterministic/Monte Carlo transport codes in shielding calculations of a spent fuel storage cask

  • Lai, Po-Chen (Institute of Nuclear Engineering and Science, National Tsing Hua University) ;
  • Huang, Yu-Shiang (Institute of Nuclear Engineering and Science, National Tsing Hua University) ;
  • Sheu, Rong-Jiun (Institute of Nuclear Engineering and Science, National Tsing Hua University)
  • Received : 2018.06.29
  • Accepted : 2019.06.19
  • Published : 2019.12.25

Abstract

This study systematically compared two hybrid deterministic/Monte Carlo transport codes, ADVANTG/MCNP and MAVRIC, in solving a difficult shielding problem for a real-world spent fuel storage cask. Both hybrid codes were developed based on the consistent adjoint driven importance sampling (CADIS) methodology but with different implementations. The dose rate distributions on the cask surface were of primary interest and their predicted results were compared with each other and with a straightforward MCNP calculation as a baseline case. Forward-Weighted CADIS was applied for optimization toward uniform statistical uncertainties for all tallies on the cask surface. Both ADVANTG/MCNP and MAVRIC achieved substantial improvements in overall computational efficiencies, especially for gamma-ray transport. Compared with the continuous-energy ADVANTG/MCNP calculations, the coarse-group MAVRIC calculations underestimated the neutron dose rates on the cask's side surface by an approximate factor of two and slightly overestimated the dose rates on the cask's top and side surfaces for fuel gamma and hardware gamma sources because of the impact of multigroup approximation. The fine-group MAVRIC calculations improved to a certain extent and the addition of continuous-energy treatment to the Monte Carlo code in the latest MAVRIC sequence greatly reduced these discrepancies. For the two continuous-energy calculations of ADVANTG/MCNP and MAVRIC, a remaining difference of approximately 30% between the neutron dose rates on the cask's side surface resulted from inconsistent use of thermal scattering treatment of hydrogen in concrete.

Keywords

References

  1. Taiwan Power Company, Safety Analysis Report for the ISFSI (Independent Spent Fuel Storage Installation) in Nuclear Power Plant 2, 2012.
  2. United States Nuclear Regulatory Commission, Criteria for Radioactive Materials in Effluents and Direct Radiation from an ISFSI or MRS, Report No. 10CFR72.104, 1998.
  3. J.C. Wagner, A. Haghighat, Automated variance reduction of Monte Carlo shielding calculations using the discrete ordinates adjoint function, Nucl. Sci. Eng. 128 (1998) 186-208. https://doi.org/10.13182/NSE98-2
  4. A. Haghighat, J.C. Wagner, Monte Carlo variance reduction with deterministic importance functions, Prog. Nucl. Energy 42 (2003) 25-53. https://doi.org/10.1016/S0149-1970(02)00002-1
  5. S.W. Mosher, A.M. Bevill, S.R. Johnson, A.M. Ibrahim, C.R. Daily, T.M. Evans, J.C. Wagner, J.O. Johnson, R.E. Grove, ADVANTG-an Automated Variance Reduction Parameter Generator, ORNL/TM 2013/416 Rev. 1, 2015.
  6. Oak Ridge National Laboratory, SCALE: a Modular Code System for Performing Standardized Computer Analyses for Licensing Evaluations, Version 6.1, 2011. ORNL/TM-2005/39.
  7. X-5 Monte Carlo Team, MCNP-Version 5, Vol. I: Overview and Theory, LA-UR-03-1987, 2003.
  8. H. Thiele, F.M. Borst, Shielding benchmark calculations with SCALE/MAVRIC and comparison with measurements for the German cask CASTOR HAW 20/28 CG, Nucl. Technol. 168 (2009) 867-870. https://doi.org/10.13182/NT09-A9320
  9. J.C. Wagner, D.E. Peplow, S.W. Mosher, T.M. Evans, Review of hybrid (deterministic/Monte Carlo) radiation transport methods, codes, and applications at Oak Ridge National Laboratory, Prog. Nucl. Sci. Technol. 2 (2011) 808-814. https://doi.org/10.15669/pnst.2.808
  10. M. Matijevic, R. Jecmenica, D. Grgic, Spent fuel pool dose rate calculations using point kernel and hybrid deterministic-stochastic shielding methods, J. Energy 65-1 (2016) 151-161.
  11. P.K. Paul, Dose rate evaluation for the ES-3100 package with HEU content using MCNP, ADVANTG, Monaco, and MAVRIC, Nucl. Technol. 205 (2019) 847-866. https://doi.org/10.1080/00295450.2018.1533319
  12. NAC International Inc, MAGNASTOR (Modular Advanced Generation Nuclear All-Purpose STORage) Safety Analysis Report, 2009 docket no. 72e1031.
  13. T.M. Evans, A.S. Stafford, R.N. Slaybaugh, K.T. Clarno, Denovo: a new threedimensional parallel discrete ordinates code in SCALE, Nucl. Technol. 171 (2010) 171-200. https://doi.org/10.13182/NT171-171
  14. J.C. Wagner, D.E. Peplow, S.W. Mosher, FW-CADIS method for global and semi-global variance reduction of Monte Carlo radiation transport calculations, Nucl. Sci. Eng. 176 (2014) 37-57. https://doi.org/10.13182/NSE12-33
  15. M.B. Emmett, J.C. Wagner, Monaco: a new 3D Monte Carlo shielding code for SCALE, Trans. Am. Nucl. Soc. 91 (2004) 701-703.
  16. B.T. Rearden, L.M. Petrie, D.E. Peplow, K.B. Bekar, D. Wiarda, C. Celik, C.M. Perfetti, A.M. Ibrahim, S.W.D. Hart, M.E. Dunn, W.J. Marshall, Monte Carlo capabilities of the SCALE code system, Ann. Nucl. Energy 82 (2015) 130-141. https://doi.org/10.1016/j.anucene.2014.08.019

Cited by

  1. Extension of Monte Carlo code MCS to spent fuel cask shielding analysis vol.44, pp.10, 2019, https://doi.org/10.1002/er.5023
  2. Neutron dose rate analysis of the new CONSTOR® storage cask for the RBMK-1500 spent nuclear fuel vol.53, pp.6, 2019, https://doi.org/10.1016/j.net.2020.11.022