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  • 标题:Neutronic feasibility study of ( Th - 233 U)-Zr H 1.65 fuel in a modelled TRIGA research reactor
  • 本地全文:下载
  • 作者:Fadi El Banni ; Fadi El Banni ; Ouadie Kabach
  • 期刊名称:Journal of King Saud University - Science
  • 印刷版ISSN:1018-3647
  • 出版年度:2022
  • 卷号:34
  • 期号:2
  • 页码:1-10
  • DOI:10.1016/j.jksus.2021.101769
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents a comparative analysis when transitioning from fuel meat based on uranium zirconium hydride (U-ZrH1.65) to one based on thorium-uranium-233 zirconium hydride ((Th-233U)-ZrH1.65) as an alternative option for TRIGA reactors. The aim of this study was to investigate the neutronic characteristics of (Th-233U)-ZrH1.65fuels with two different Th-233U weight contents (i.e., 8.5 wt% and 12 wt%) and various U-233 enrichment levels. Using MCNP6.2 computer code based on the Monte Carlo method, a three-dimensional (3D) hypothetical TRIGA model was developed to investigate various neutronic parameters, such as the effects of U-233 enrichment and different (Th-233U)weight contents on the effective multiplication factor, burnup behavior, spent fuel composition, neutron flux, and fission product poison concentration. Since fuel temperature coefficients of reactivity and effective delayed neutron fractions play important roles in the reactor’s kinetics, these were also investigated, and the results were compared to the model withU-ZrH1.65fuel. The obtained results revealed that the presence of Th-232 in the fuels did not drastically reduce the fuel temperature coefficients due to the zirconium hydride within the fuels providing most of the feedback in a TRIGA reactor. In contrast, the presence of U-233 in the (Th-233U)-ZrH1.65fuels did reduce the effective delayed neutron fraction. Despite this, the lower transuranic generation in cores fueled by(Th-233U)-ZrH1.65make this fuel advantageous in terms of achieving longer cycle lengths and less-hazardous nuclear waste for disposal.
  • 关键词:Neutronic analysis;TRIGA reactor;Fuel;Burnup characteristics;MCNP6.2
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