Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Evaluation of the CNESTEN's TRIGA Mark II research reactor physical parameters with TRIPOLI-4® and MCNP

  • H. Ghninou (CEA, DES, IRESNE, DER, SPESI, LP2E) ;
  • A. Gruel (CEA, DES, IRESNE, DER, SPESI, LP2E) ;
  • A. Lyoussi (CEA, DES, IRESNE, DER, SPESI, LP2E) ;
  • C. Reynard-Carette (Aix Marseille University) ;
  • C. El Younoussi (National Center for Energy Sciences and Nuclear Technology, CNESTEN) ;
  • B. El Bakkari (National Center for Energy Sciences and Nuclear Technology, CNESTEN) ;
  • Y. Boulaich (National Center for Energy Sciences and Nuclear Technology, CNESTEN)
  • Received : 2022.11.21
  • Accepted : 2023.07.23
  • Published : 2023.12.25
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Abstract

This paper focuses on the development of a new computational model of the CNESTEN's TRIGA Mark II research reactor using the 3D continuous energy Monte-Carlo code TRIPOLI-4 (T4). This new model was developed to assess neutronic simulations and determine quantities of interest such as kinetic parameters of the reactor, control rods worth, power peaking factors and neutron flux distributions. This model is also a key tool used to accurately design new experiments in the TRIGA reactor, to analyze these experiments and to carry out sensitivity and uncertainty studies. The geometry and materials data, as part of the MCNP reference model, were used to build the T4 model. In this regard, the differences between the two models are mainly due to mathematical approaches of both codes. Indeed, the study presented in this article is divided into two parts: the first part deals with the development and the validation of the T4 model. The results obtained with the T4 model were compared to the existing MCNP reference model and to the experimental results from the Final Safety Analysis Report (FSAR). Different core configurations were investigated via simulations to test the computational model reliability in predicting the physical parameters of the reactor. As a fairly good agreement among the results was deduced, it seems reasonable to assume that the T4 model can accurately reproduce the MCNP calculated values. The second part of this study is devoted to the sensitivity and uncertainty (S/U) studies that were carried out to quantify the nuclear data uncertainty in the multiplication factor keff. For that purpose, the T4 model was used to calculate the sensitivity profiles of the keff to the nuclear data. The integrated-sensitivities were compared to the results obtained from the previous works that were carried out with MCNP and SCALE-6.2 simulation tools and differences of less than 5% were obtained for most of these quantities except for the C-graphite sensitivities. Moreover, the nuclear data uncertainties in the keff were derived using the COMAC-V2.1 covariance matrices library and the calculated sensitivities. The results have shown that the total nuclear data uncertainty in the keff is around 585 pcm using the COMAC-V2.1. This study also demonstrates that the contribution of zirconium isotopes to the nuclear data uncertainty in the keff is not negligible and should be taken into account when performing S/U analysis.

Keywords

Acknowledgement

The authors would like to thank RIZZO Axel and BELLANGER-VILLARD Veronique of the Physics Studies Laboratory (LEPh), The French Alternative Energies and Atomic Energy Commission (CEA), Saint-Paul-lez-Durance, France, for providing the COMAC-V2.1 nuclear covariance matrices database that used to carry on the uncertainty quantification in the keff.

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