Uncertainty and Sensitivity of Neutron Kinetic Parameters in the Dynamic Response of a PWR Rod Ejection Accident Coupled Simulation
| Autor: | Mesado Melia, Carles, Soler Martínez, María Desamparados, Barrachina Celda, Teresa María, Miró Herrero, Rafael, García-Díaz, J. Carlos, Macián-Juan, R, Verdú Martín, Gumersindo Jesús |
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| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Engineering
Uncertainty and sensitivity analysis Article Subject ESTADISTICA E INVESTIGACION OPERATIVA Perturbation (astronomy) Partial rank correlation coefficient INGENIERIA NUCLEAR Kinetic energy Statistical Confidence DAKOTA law.invention law Control theory Nuclear power plant Neutron Sensitivity analyses Simulation RELAP-PARCS business.industry Nonparametric statistics Software package Neutronic parameters Cross sections Nuclear Energy and Engineering lcsh:Electrical engineering. Electronics. Nuclear engineering business lcsh:TK1-9971 |
| Zdroj: | Science and Technology of Nuclear Installations, Vol 2012 (2012) RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| ISSN: | 1687-6075 |
| DOI: | 10.1155/2012/625878 |
| Popis: | In nuclear safety analysis, it is very important to be able to simulate the different transients that can occur in a nuclear power plant with a very high accuracy. Although the best estimate codes can simulate the transients and provide realistic system responses, the use of nonexactmodels, together with assumptions and estimations, is a source of uncertainties whichmust be properly evaluated. This paper describes a Rod Ejection Accident (REA) simulated using the coupled code RELAP5/PARCSv2.7 with a perturbation on the cross-sectional sets in order to determine the uncertainties in the macroscopic neutronic information. The procedure to performthe uncertainty and sensitivity (U&S) analysis is a sampling-based method which is easy to implement and allows different procedures for the sensitivity analyses despite its high computational time. DAKOTA-Jaguar software package is the selected toolkit for the U&S analysis presented in this paper. The size of the sampling is determined by applying the Wilks¿ formula for double tolerance limits with a 95% of uncertainty and with 95% of statistical confidence for the output variables. Each sample has a corresponding set of perturbations that will modify the cross-sectional sets used by PARCS. Finally, the intervals of tolerance of the output variables will be obtained by the use of nonparametric statistical methods. This work has been partially supported by the Spanish Ministerio de Educacion y Ciencia under Project ENE2008-02669, the Generalitat Valenciana under Project ACOMP/2009/058, and the Universitat Politecnica de Valencia under Project PAID-05-09-4285. |
| Databáze: | OpenAIRE |
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