Propagation of U235-238, Pu239 and STL Nuclear Data Uncertainties for PWR core analysis


Autoria(s): Cabellos de Francisco, Oscar Luis; Castro González, Emilio; Ahnert Iglesias, Carolina; Holgado, C.
Data(s)

2013

Resumo

An uncertainty propagation methodology based on Monte Carlo method is applied to PWR nuclear design analysis to assess the impact of nuclear data uncertainties in 235,238 U, 239 Pu and Scattering Thermal Library for Hydrogen in water. This uncertainty analysis is compared with the design and acceptance criteria to assure the adequacy of bounding estimates in safety margins.

Formato

application/pdf

Identificador

http://oa.upm.es/26199/

Idioma(s)

eng

Publicador

E.T.S.I. Industriales (UPM)

Relação

http://oa.upm.es/26199/1/INVE_MEM_2013_162821.pdf

http://www.oecd-nea.org/dbdata/meetings/nov2013/

info:eu-repo/semantics/altIdentifier/doi/null

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/restrictedAccess

Fonte

Proceedings JEFF Measurement, Evaluation, Processing and Benchmarking | JEFF Measurement, Evaluation, Processing and Benchmarking 2013 | 25/11/2013 - 29/11/2013 | Issy-les-Moulineaux, France

Palavras-Chave #Energía Nuclear
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

NonPeerReviewed