INSIGHT: An Integrated Scoping Analysis Tool for In-core Fuel Management of PWR.

• YAMAMOTO Akio

  Software Engineering Division, Nuclear Fuel Industries, Ltd.

• NODA Hidefumi

  Software Engineering Division, Nuclear Fuel Industries, Ltd.

• ITO Nobuaki

  Atomic Systems Group, Japan Research Institute

• MARUYAMA Taiji

  Atomic Systems Group, Japan Research Institute

書誌事項

タイトル別名

• INSIGHT An Integrated Scoping Analysis

抄録

<BR>An integrated software tool for scoping analysis of in-core fuel management, INSIGHT, has been developed to automate the scoping analysis and to improve the fuel cycle cost using advanced optimization techniques. INSIGHT is an interactive software tool executed on UNIX based workstations that is equipped with an X-window system. INSIGHT incorporates the GALLOP loading pattern (LP) optimization module that utilizes hybrid genetic algorithms, the PATMAKER interactive LP design module, the MCA multicycle analysis module, an integrated database, and other utilities. Two benchmark problems were analyzed to confirm the key capabilities of INSIGHT: LP optimization and multicycle analysis. The first was the single cycle LP optimization problem that included various constraints. The second one was the multicycle LP optimization problem that includes the assembly burnup limitation at rod cluster control (RCC) positions. The results for these problems showed the feasibility of INSIGHT for the practical scoping analysis, whose work almost consists of LP generation and multicycle analysis.

収録刊行物

• Ｊｏｕｒｎａｌ　ｏｆ　Ｎｕｃｌｅａｒ　Ｓｃｉｅｎｃｅ　ａｎｄ　Ｔｅｃｈｎｏｌｏｇｙ（日本原子力学会英文論文誌）

  Ｊｏｕｒｎａｌ　ｏｆ　Ｎｕｃｌｅａｒ　Ｓｃｉｅｎｃｅ　ａｎｄ　Ｔｅｃｈｎｏｌｏｇｙ（日本原子力学会英文論文誌） 34 (8), 847-855, 1997

  一般社団法人 日本原子力学会

キーワード

• PWR type reactors
• reactor cores
• fuel management
• reactor fueling
• optimization
• interactive software
• genetic algorithms
• multicycle analysis
• scoping analysis
• INSIGHT
• feasibility

詳細情報

• CRID: 1390001204095020032
• NII論文ID: 10002077870
• NII書誌ID: AA00703720
• DOI: 10.3327/jnst.34.847
• COI: 1:CAS:528:DyaK2sXmsVahtLo%3D
• ISSN: 18811248
• ISSN: 00223131
• NDL書誌ID: 4277732
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4277732
• 本文言語コード: en
• データソース種別:
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