Critical power experimental analysis using subchannel analysis code (unknown parameter estimation in spacer model)

Toru Mitsutake, Shinichi Morooka, Yasushi Yamamoto, Jiro Kimura

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

In order to predict the critical power of a BWR rod bundle by calculation, we have developed a fuel rod spacer effect model for quantitative estimation of the spacer effect on film flow on a fuel rod surface. Unknown parameters introduced in the spacer effect model are determined, based on critical power test data conducted at the Toshiba 4×4 bundle test loop. In this parameter estimation procedure, a boiling transition (BT) rod position effect is included, using critical power test data in which BT is expected to occur at different rod positions. The spacer model developed in the present program has been implemented in the film flow model subchannel analysis code CRIP version 2, and the calculated critical power is compared with the 4×4 bundle test data. The results of measurement and analysis show good agreement.

Original languageEnglish
Pages (from-to)2715-2720
Number of pages6
JournalNippon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B
Volume59
Issue number565
Publication statusPublished - 1993 Sep
Externally publishedYes

Fingerprint

Parameter estimation
spacers
rods
bundles
Boiling liquids
boiling

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

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title = "Critical power experimental analysis using subchannel analysis code (unknown parameter estimation in spacer model)",
abstract = "In order to predict the critical power of a BWR rod bundle by calculation, we have developed a fuel rod spacer effect model for quantitative estimation of the spacer effect on film flow on a fuel rod surface. Unknown parameters introduced in the spacer effect model are determined, based on critical power test data conducted at the Toshiba 4×4 bundle test loop. In this parameter estimation procedure, a boiling transition (BT) rod position effect is included, using critical power test data in which BT is expected to occur at different rod positions. The spacer model developed in the present program has been implemented in the film flow model subchannel analysis code CRIP version 2, and the calculated critical power is compared with the 4×4 bundle test data. The results of measurement and analysis show good agreement.",
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AU - Mitsutake, Toru

AU - Morooka, Shinichi

AU - Yamamoto, Yasushi

AU - Kimura, Jiro

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N2 - In order to predict the critical power of a BWR rod bundle by calculation, we have developed a fuel rod spacer effect model for quantitative estimation of the spacer effect on film flow on a fuel rod surface. Unknown parameters introduced in the spacer effect model are determined, based on critical power test data conducted at the Toshiba 4×4 bundle test loop. In this parameter estimation procedure, a boiling transition (BT) rod position effect is included, using critical power test data in which BT is expected to occur at different rod positions. The spacer model developed in the present program has been implemented in the film flow model subchannel analysis code CRIP version 2, and the calculated critical power is compared with the 4×4 bundle test data. The results of measurement and analysis show good agreement.

AB - In order to predict the critical power of a BWR rod bundle by calculation, we have developed a fuel rod spacer effect model for quantitative estimation of the spacer effect on film flow on a fuel rod surface. Unknown parameters introduced in the spacer effect model are determined, based on critical power test data conducted at the Toshiba 4×4 bundle test loop. In this parameter estimation procedure, a boiling transition (BT) rod position effect is included, using critical power test data in which BT is expected to occur at different rod positions. The spacer model developed in the present program has been implemented in the film flow model subchannel analysis code CRIP version 2, and the calculated critical power is compared with the 4×4 bundle test data. The results of measurement and analysis show good agreement.

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