Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Uncertainty and sensitivity analysis of a PWR LOCA sequence using parametric and non-parametric methods
Año:2019
Áreas de investigación
  • Ingenierías
Datos
Descripción
The Best Estimate Plus Uncertainty (BEPU) approach is being used worldwide for nuclear power plants licensing. This method relies on the use of best estimate models to simulate the accident, evaluating the uncertainties involved. To assess these uncertainties, several methodologies have been developed, such as the non-parametric Wilks/Wald method, parametric methods that reconstruct a distribution from the data, or the binomial approach which interprets the results as two states. Additionally, sensitivity analyses can be performed to obtain the correlation of the output-inputs. Finally, a variability analysis of the most influential parameters made to find a combination of parameters that can lead to damage is also useful. In this paper, all previous techniques are described and applied, by performing a large Monte-Carlo set of simulations of a loss of coolant accident in a pressurized water reactor assessing two figures of merit. The comparison of the different methods show that the most conservative is the Wilks/Wald method; the least conservative is the parametric approach, and in between, the binomial one. The impact of the sample size is also studied for all methods, showing different behaviors for the different approaches
Internacional
Si
JCR del ISI
Si
Título de la revista
Reliability Engineering and System Safety
ISSN
09518320
Factor de impacto JCR
Información de impacto
Volumen
DOI
10.1016/j.ress.2019.106607
Número de revista
Desde la página
106607
Hasta la página
106607
Mes
SIN MES
Ranking
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Participantes
  • Autor: Eneko Zugazagoitia Hernando (UPM)
  • Autor: Mikel Kevin Fernandez Cosials (UPM)
  • Autor: Jose Cesar Queral Salazar (UPM)
  • Autor: Jose Javier Gomez Magan (UPM)
  • Autor: Luis Felipe Duran Vinuesa (UPM)
  • Autor: José María Posada (Almaraz-Trillo AIE, Madrid, Spain)
  • Autor: Jorge Sanchez Torrijos (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Energía y Combustibles
  • Departamento: Ingeniería Energética
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