The Influence Mechanism of Neutron Kinetics of the Accelerator-Driven Subcritical Reactor Based on the Fast/Thermal Neutron Spectra by Monte Carlo Homogenization Method

Nianbiao Deng, Chao Xie, Cheng Hou, Zhulun Li, Jinsen Xie () and Tao Yu ()
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Nianbiao Deng: School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China
Chao Xie: School of Nuclear Science and Technology, University of South China, Hengyang 421001, China
Cheng Hou: China Institute of Atomic Energy, Beijing 102413, China
Zhulun Li: School of Nuclear Science and Engineering, North China Electric Power University, Beijing 102206, China
Jinsen Xie: School of Nuclear Science and Technology, University of South China, Hengyang 421001, China
Tao Yu: School of Nuclear Science and Technology, University of South China, Hengyang 421001, China

Energies, 2023, vol. 16, issue 8, 1-15

Abstract: For the sake of understanding the mechanism of deep subcriticality and high heterogeneity of neutron fluence rate in time–space on the neutron kinetics of the Accelerator-driven Subcritical Reactor Subcritical Reactor (ADSR) under varied beam transients and neutron spectra. A Monte Carlo homogenization approach for the neutron time–space kinetics of the ADSR is proposed in this study, and the influence mechanism on the kinetic parameters of the ADSR under varied neutron spectra, subcriticality, and beam transients is examined. The results show that the Monte Carlo homogenization for the α eigenvalue mode is more adaptable to the subcriticality characteristics under varied subcriticality; under beam transients, the relative differences in the kinetic parameters of the different modes of the ADSR with fast/thermal spectra increase with the depth of subcriticality, and the differences in neutron generation time for varied modes are larger than those of effective fraction of delayed neutron. Thus, it is recommended to use a more adaptable Monte Carlo homogenization method for the time–space kinetics of ADSR, and the effects of the high heterogeneity of neutron fluence rate and deep subcriticality in time–space on the neutron generation time should be considered.

Keywords: Monte Carlo homogenization method; ADS Subcritical Reactor; neutron kinetics; deep subcriticality; heterogeneity of neutron fluence rate in time–space (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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