TY - GEN
T1 - Multi-ring Subgroup Method in Characterising Highly Self-shielded Gadolinia Burnable Poison Pins for the UK EPR Nuclear Fuel Assembly
AU - Li, Jinfeng
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8/17
Y1 - 2020/8/17
N2 - Precisely modelling burnup behavior of Gadolinia burnable poison pins in a nuclear reactor is tricky, as it is a very strong absorber of thermal neutrons. The highly self-shielded burnable poison depletes largely from outermost zones inwards, presenting strong flux gradients around the pin. Classic modelling methods are based on equivalence theory, tracking pin-averaged cross sections, and collapsing all radial rings down. However, the subdivision of the whole pin into multiple radial zones is ineffective, as each zone is still represented by the same cross sections in 172 groups. To capture the self-shielding effect, a subgroup method is employed in this work to accurately account for the ring effect in Gadolinia-bearing pins. Deterministic code (WIMS) is used for producing homogenised cross sections for Gadolinia-zoning assemblies, obtaining lattice power distributions, the results of which are benchmarked against a Monte Carlo code (Serpent) for model verifications.
AB - Precisely modelling burnup behavior of Gadolinia burnable poison pins in a nuclear reactor is tricky, as it is a very strong absorber of thermal neutrons. The highly self-shielded burnable poison depletes largely from outermost zones inwards, presenting strong flux gradients around the pin. Classic modelling methods are based on equivalence theory, tracking pin-averaged cross sections, and collapsing all radial rings down. However, the subdivision of the whole pin into multiple radial zones is ineffective, as each zone is still represented by the same cross sections in 172 groups. To capture the self-shielding effect, a subgroup method is employed in this work to accurately account for the ring effect in Gadolinia-bearing pins. Deterministic code (WIMS) is used for producing homogenised cross sections for Gadolinia-zoning assemblies, obtaining lattice power distributions, the results of which are benchmarked against a Monte Carlo code (Serpent) for model verifications.
KW - burnable poison
KW - computational neutronics
KW - gadolinia
KW - nuclear energy
KW - nuclear fuel modelling
KW - self-shielding
UR - https://www.scopus.com/pages/publications/85093358719
U2 - 10.1109/iCCECE49321.2020.9231157
DO - 10.1109/iCCECE49321.2020.9231157
M3 - Conference contribution
AN - SCOPUS:85093358719
T3 - Proceedings - 2020 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2020
SP - 196
EP - 200
BT - Proceedings - 2020 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2020
A2 - Miraz, Mahdi H.
A2 - Excell, Peter S.
A2 - Ware, Andrew
A2 - Soomro, Safeeullah
A2 - Ali, Maaruf
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Computing, Electronics and Communications Engineering, iCCECE 2020
Y2 - 17 August 2020 through 18 August 2020
ER -