Benchmark Problem Suite for Reactor Physics Study of LWR Next Generation Fuels
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概要
- 論文の詳細を見る
This paper proposes a benchmark problem suite for studying the physics of next-generation fuels of light water reactors. The target discharge burnup of the next-generation fuel was set to 70 GWd/t considering the increasing trend in discharge burnup of light water reactor fuels. The UO2 and MOX fuels are included in the benchmark specifications. The benchmark problem consists of three different geometries: fuel pin cell, PWR fuel assembly and BWR fuel assembly. In the pin cell problem, detailed nuclear characteristics such as burnup dependence of nuclide-wise reactivity were included in the required calculation results to facilitate the study of reactor physics. In the assembly benchmark problems, important parameters for in-core fuel management such as local peaking factors and reactivity coefficients were included in the required results. The benchmark problems provide comprehensive test problems for next-generation light water reactor fuels with extended high burnup. Furthermore, since the pin cell, the PWR assembly and the BWR assembly problems are independent, analyses of the entire benchmark suite is not necessary: e.g., the set of pin cell and PWR fuel assembly problems will be suitable for those in charge of PWR in-core fuel management, and the set of pin cell and BWR fuel assembly problems for those in charge of BWR in-core fuel management.
- 社団法人 日本原子力学会の論文
- 2002-08-25
著者
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Ito Takuya
Nuclear Fuel Industries Ltd.
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Saji Etsuro
Secretariat Of The Nuclear Safety Commission
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YAMAMOTO Akio
Nuclear Fuel Industries, Ltd.
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IKEHARA Tadashi
Global Nuclear Fuel-Japan Co. Ltd.
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Ikehara T
Global Nuclear Fuel-japan Co. Ltd.
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Yamamoto Akio
Nuclear Fuel Industries Ltd.
関連論文
- Effect of Subchannel Void Fraction Distribution on Lattice Physics Parameters for Boiling Water Reactor Fuel Bundles
- Benchmark Problem Suite for Reactor Physics Study of LWR Next Generation Fuels
- Sensitivity Analysis for Multiplication Factor Change of LWR Cell Caused by the Differences between JENDL-3.2 and JENDL-3.3
- Application of the Distributed Genetic Algorithm for In-Core Fuel Optimization Problems under Parallel Computational Environment
- Effect of Radial Peaking Factor Limitation on Discharge Burnup