Feasibility study of decay heat uncertainty reduction using nuclear data adjustment method with experimental data

Kawamoto, Yosuke; Chiba, Go

Feasibility study of decay heat uncertainty reduction using nuclear data adjustment method with experimental data

Kawamoto, Yosuke; Chiba, Go

Journal of nuclear science and technology, 2017, 54(2), 213-222

Permalink : https://hdl.handle.net/2115/68242

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アクセス権	open access
URI	https://hdl.handle.net/2115/68242
タイトル	Feasibility study of decay heat uncertainty reduction using nuclear data adjustment method with experimental data
著者	著者名 Kawamoto, Yosuke
著者	e-Rad_Researcher 50421524 著者名 Chiba, Go
言語	英語
キーワード	Nuclear data adjustment method
	decay heat uncertainty
	post-irradiation examination data
	fission pulse decay heat data
	generalized perturbation theory
発行日	2017-02
出版者	Taylor & Francis
収録物名	Journal of nuclear science and technology
巻(号)	54(2)
ページ	213-222
抄録	The accurate prediction of the decay heat is essential, especially for nuclear power plant safety purposes. However, it is known that the decay heat predicted by nuclear fuel burn-up calculations is uncertain because of uncertainty of nuclear data employed in the calculations. If the decay heat uncertainty can be reduced, the safety margin of the predicted decay heat can also be reduced, and feasible design ranges of various types of equipments related to the decay heat can be extended. In the present study, we use the nuclear data adjustment method for the decay heat uncertainty reduction with several types of the experimental data. As a result, we clarify that the decay heat uncertainty with short- and long-term cooling periods can be reduced by this method with appropriate experimental data.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
権利情報	This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of nuclear science and technology on Feb 2017, available online: http://www.tandfonline.com/10.1080/00223131.2016.1238785.
PISSN	0022-3131
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1080/00223131.2016.1238785