Abstract
The article presents advanced application of computational code HELIOS 1.10 and several application problems of this computer code caused by mathematical solutions of reactor theory physical methods in the program source. The first part of the article presents the HELIOS engineering application on the transmutation fuel cycle modelling where the VVER-440 and SUPERPHENIX fuel assemblies were modelled and compared. The French fast reactor SUPERPHENIX was chosen for the transmutation purposes because this fast reactor is compatible in principle with the Generation IV strategy and Slovakia uses the Russian nuclear reactor VVER-440. The code HELIOS is used mostly for the preparation of few group cross-sections for the use in 3D full core simulation codes. It is necessary to provide its testing and continual improving. The second part of the article refers to one way of sensitivity analysis connected with spatial discretization of the model cells. It shows a very high influence of the spatial discretization on the final results. The maximum effort was aimed at spatial discretization effect and its influence on infinite multiplication factor (kinf) results. Multiplication factor (kinf) reflects the multiplication ability of the relevant SUPERPHENIX and VVER-440 fuel assemblies situated hypothetically into the infinite lattice with no neutron leakage. All kinds of calculations were performed by a spectral code HELIOS 1.10. This study also exposes the HELIOS modelling and simulating borders.
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Acknowledgements
The thanks for this project realization belong to the engineering and research organization VUJE, Inc. that sponsored this project. One of the authors (V. Necas) expresses acknowledgments to the Slovak Grant Agency for Science for support through the grant No. VEGA 1/0685/09.
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Zajac, R., Darilek, P., Necas, V. (2011). Modelling and Spatial Discretization in Depletion Calculations of the Fast Reactor Cell with HELIOS 1.10. In: Murín, J., Kompiš, V., Kutiš, V. (eds) Computational Modelling and Advanced Simulations. Computational Methods in Applied Sciences, vol 24. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0317-9_13
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DOI: https://doi.org/10.1007/978-94-007-0317-9_13
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