An Improved Inverse Analysis Model for Fuel Loading Pattern Optimization
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概要
- 論文の詳細を見る
An improved inverse analysis model for fuel loading pattern (LP) optimization is proposed to reproduce a desired in-core power distribution from available fuel assemblies based on the inverse analysis of diffusion equations. In the present approach, the inverse analysis is simplified as a fixed-source problem rather than an eigenvalue problem in a previous work. By using the one-to-one correspondence between the power distribution and reactivity distribution, a target reactivity distribution is solved from a desired power distribution through the inverse analysis. The reactivity of available assemblies is evaluated using a modified effective fast-group model with a higher order correction of leakage effect. A candidate LP is determined by individually matching the reactivity of available assemblies to the target in-core reactivity distribution using a stable matching algorithm. The process of predicting the reactivity of available assemblies and matching them to the target reactivity distribution is repeated until the convergence condition is satisfied. Validation of the model has been confirmed with a reference PWR core. The model is expected to be applicable to a problem of multicycle loading pattern optimization.
- 社団法人 日本原子力学会の論文
- 2009-12-01
著者
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YAMAMOTO Akio
Department of Applied Chemistry, Graduate School of Science and Engineering, Waseda University
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YAMANE Yoshihiro
Department of Life Science, Faculty of Science, Himeji Institute of Technology
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Yamane Yoshihiro
Department Of Materials Physics And Energy Engineering Nagoya University
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TRAN Hoai
Department of Materials, Physics and Energy Engineering, Nagoya University
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Tran Hoai
Department Of Materials Physics And Energy Engineering Nagoya University
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Yamamoto Akio
Department Of Materials Physics And Energy Engineering Nagoya University
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Yamamoto Akio
Department Of Applied Chemistry Graduate School Of Science And Engineering And Advanced Research Cen
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