METHODS OF XS DATA PREPARATION FOR GEOMETRY WITH FUEL DUMMY

3D deterministic core calculation represents important category of the nuclear fuel cycle and safe Nuclear Power Plant operation. The appropriate solution was not published yet. Data preparation process for non-fuel elements of the core represents the challenge for scientists. This report briefly introduce the problem of the data preparation process and gives the information about new input format for macrocode PARCS (PMAXS). The best homogenization process approach is to prepare data in infinite lattice cell for fuel assemblies, which are placed next to the another fuel assembly. Data for fuel assembly located next to the non-fuel region are better with preparation in the real geometry with the real boundary conditions. Results of the neutron spectra study show that the PMAXS file format is well prepared for the 2 group calculation, but it is not well prepared for the multigroup calculations, however the XSEC file format still gave reasonable results.

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Fingerprinting commercial nuclear reactor forensics using the ORIGEN-S simulation code

International Journal of Modern Physics Conference Series ◽

10.1142/s2010194518601266 ◽

2018 ◽

Vol 48 ◽

pp. 1860126

Author(s):

Iyabo Usman ◽

David Vermillion ◽

Howard Hall ◽

Steve Skutnik

Keyword(s):

Fuel Assembly ◽

Nuclear Power ◽

Nuclear Reactor ◽

Fuel Cycle ◽

Reference Database ◽

Cycle Period ◽

Isotopic Ratios ◽

Spent Fuel ◽

Concentration Data ◽

Simulation Code

The ability to determine the origin of a specific spent-fuel sample from a commercial nuclear reactor was studied using the Origen-S simulation code by calculating the plutonium and uranium isotopic concentration data for a range of nuclear power reactors. This range of reactors is based on a typical Westinghouse PWR fuel assembly with a fuel type of W17 X 17, having individual operating histories. Isotopic ratios of plutonium in nuclear reactors during the fuel-cycle period provide information on how the plutonium grows into the fuel as a function of burnup, as well as its attractiveness to proliferators. Using the results from the calculation of uranium and plutonium isotopic ratios, the origin of each spent-fuel assembly for a particular reactor can be predicted and documented for a future nuclear forensics reference database.

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Effect of the burnable absorber arrangement on the VVER-1200 fuel assembly neutronic performance

Nuclear Energy and Technology ◽

10.3897/nucet.7.73490 ◽

2021 ◽

Vol 7 (3) ◽

pp. 215-221

Author(s):

Ruslan A. Vnukov ◽

Valery V. Kolesov ◽

Irina A. Zhavoronkova ◽

Yaroslav A. Kotov ◽

Md Masum Rana Pramanik

Keyword(s):

Neutron Flux ◽

Fuel Assembly ◽

Flux Density ◽

Fuel Cycle ◽

Life Time ◽

Uranium Content ◽

Gadolinium Oxide ◽

Neutron Flux Density ◽

Fuel Elements ◽

Neutronic Performance

Optimizing the use of fuel in a power reactor is a task of current concern. However, little attention has been given to investigating the dependences among the enrichment used, the content of gadolinium oxide in fuel elements, and the life time in combination with assessing the efficiency of using Gd fuel elements with different Gd2O3 contents. The paper considers fuel assembly (FA) versions for VVER-1200 reactors having different enrichments for fuel elements, including those with Gd, and different contents of gadolinium oxide in fuel. A comparative analysis is presented for assemblies with homogeneous Gd2O3 arrangements in each fuel element and with profiled Gd2O3 arrangements. In the latter case, profiling depends on the neutron flux density in the layer which includes Gd fuel elements. This suggests that the arrangement of gadolinium oxide proportionally to the neutron flux density will improve the FA neutronic performance. The results were obtained using SERPENT (a continuous-energy multi-purpose three-dimensional Monte Carlo particle transport code). The assemblies with the used parameters for a 12-month fuel cycle have shown the method under consideration to be inefficient for a period of over 300 eff. days. With increased enrichment and content of gadolinium oxide, the use of profiled versions has turned out to be more rational for longer periods (up to 900 eff. days). Therefore, this phenomenon is relevant for the reactor life, whereas it proves to be insignificant for the fuel life. A complex relationship is noted between the gadolinium and uranium content in an assembly and the effective multiplication factor for the profiled and standard assemblies. This relationship requires further detailed consideration.

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2. The Salzburg Conference on Nuclear Power and its Fuel Cycle

Natural Resources Forum ◽

10.1111/j.1477-8947.1978.tb00205.x ◽

1978 ◽

Vol 2 (2) ◽

pp. 196-199

Author(s):

R. KRYMM

Keyword(s):

Nuclear Power ◽

Fuel Cycle

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Prediction of Technological Failures in Nuclear Power Plant Operation

Power Technology and Engineering ◽

10.1007/s10749-015-0536-z ◽

2015 ◽

Vol 48 (5) ◽

pp. 371-374

Author(s):

A. A. Salnykov

Keyword(s):

Power Plant ◽

Nuclear Power Plant ◽

Nuclear Power ◽

Plant Operation ◽

Power Plant Operation

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Nuclear Power in Latin America: An Overview of Its Present Status

Journal of Interamerican Studies and World Affairs ◽

10.2307/165784 ◽

1983 ◽

Vol 25 (3) ◽

pp. 377-415 ◽

Cited By ~ 1

Author(s):

Margarete K. Luddemann

Keyword(s):

Developing Countries ◽

Latin America ◽

Nuclear Power ◽

Nuclear Energy ◽

Fuel Cycle ◽

Field Studies ◽

Energy Agency ◽

Self Sufficiency ◽

Policy Concern ◽

Alternative Sources

The pivotal role energy plays in national economics not only converts the access to sources of supply into a vivid issue of foreign policy concern, but also causes an understandable preoccupation with investment capabilities and self-sufficiency. A report prepared by the International Atomic Energy Agency (IAEA) in 1974 predicted a bright future for nuclear energy in the i developing countries and encouraged use of this form of energy after numerous field studies.A nation that commits itself to nuclear energy by purchasing nuclear power-generating technology but not fuel cycle facilities incurs the risk of becoming dependent upon the supplier country because a quick switch to alternative sources of supply is difficult in cases of curtailment of fuel.

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Automated and Adaptive Geometry Preparation for AR/VR-Applications

10.1115/detc2021-66731 ◽

2021 ◽

Author(s):

Maximilian Peter Dammann ◽

Wolfgang Steger ◽

Ralph Stelzer

Keyword(s):

Software Tool ◽

Product Structure ◽

Preparation Process ◽

Data Preparation ◽

Batch Mode ◽

Computing Power ◽

Time Savings ◽

Automatic Preparation ◽

Target Platform ◽

Selection Of

Abstract Product visualization in AR/VR applications requires a largely manual process of data preparation. Previous publications focus on error-free triangulation or transformation of product structure data and display attributes for AR/VR applications. This paper focuses on the preparation of the required geometry data. In this context, a significant reduction in effort can be achieved through automation. The steps of geometry preparation are identified and examined with respect to their automation potential. In addition, possible couplings of sub-steps are discussed. Based on these explanations, a structure for the geometry preparation process is proposed. With this structured preparation process it becomes possible to consider the available computing power of the target platform during the geometry preparation. The number of objects to be rendered, the tessellation quality and the level of detail can be controlled by the automated choice of transformation parameters. We present a software tool in which partial steps of the automatic preparation are already implemented. After an analysis of the product structure of a CAD file, the transformation is executed for each component. Functions implemented so far allow, for example, the selection of assemblies and parts based on filter options, the transformation of geometries in batch mode, the removal of certain details and the creation of UV maps. Flexibility, transformation quality and time savings are described and discussed.

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Automated and adaptive geometry preparation for ar/vr-applications

Journal of Computing and Information Science in Engineering ◽

10.1115/1.4053327 ◽

2021 ◽

pp. 1-26

Author(s):

Maximilian Peter Dammann ◽

Wolfgang Steger ◽

Ralph Stelzer

Keyword(s):

Performance Optimization ◽

Software Tool ◽

Product Structure ◽

Preparation Process ◽

Data Preparation ◽

Batch Mode ◽

Computing Power ◽

Automatic Preparation ◽

Target Platform ◽

Selection Of

Abstract Product visualization in AR/VR applications requires a largely manual process of data preparation. Previous publications focus on error-free triangulation or transformation of product structure data and display attributes for AR/VR applications. This paper focuses on the preparation of the required geometry data. In this context, a significant reduction in effort can be achieved through automation. The steps of geometry preparation are identified and examined concerning their automation potential. In addition, possible couplings of sub-steps are discussed. Based on these explanations, a structure for the geometry preparation process is proposed. With this structured preparation process, it becomes possible to consider the available computing power of the target platform during the geometry preparation. The number of objects to be rendered, the tessellation quality, and the level of detail can be controlled by the automated choice of transformation parameters. Through this approach, tedious preparation tasks and iterative performance optimization can be avoided in the future, which also simplifies the integration of AR/VR applications into product development and use. A software tool is presented in which partial steps of the automatic preparation are already implemented. After an analysis of the product structure of a CAD file, the transformation is executed for each component. Functions implemented so far allow, for example, the selection of assemblies and parts based on filter options, the transformation of geometries in batch mode, the removal of certain details, and the creation of UV maps. Flexibility, transformation quality, and timesavings are described and discussed.

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