Statistical characterization of NPP transients: Application to PWR LBLOCA
| Autor: | Jorge Sánchez-Torrijos, José María Posada, Cesar Queral, Victor Sanchez-Espinoza, Javier Magan, Eneko Zugazagoitia, Kevin Fernández-Cosials |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Sequence
020209 energy Monotonic function 02 engineering and technology Variance (accounting) 01 natural sciences 010305 fluids & plasmas Nuclear Energy and Engineering Scatter plot 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Figure of merit Statistical dispersion Sensitivity (control systems) Algorithm Uncertainty analysis Mathematics |
| Zdroj: | Annals of Nuclear Energy. 144:107505 |
| ISSN: | 0306-4549 |
| DOI: | 10.1016/j.anucene.2020.107505 |
| Popis: | Uncertainty and sensitivity analyses are a necessary step for best estimate calculations for licensing. In this sense, a complete statistical characterization of a sequence would be a useful tool for these assessments as it can detect behaviors and correlation of the Figures of Merit (FoM) and the input space. For this reason, the present paper presents a statistical characterization of a LBLOCA in a PWR by means of an uncertainty analysis and a sensitivity analysis using the TRACE code. Due to this characterization it is found that parameters such as the number of bursted or ballooned rods have a remarkable dispersion and that variance of most of FoMs is explained by a monotonic behavior; which is also confirmed through scatter plots and cob-webs. Finally, it is found that nearly all input parameters are correlated to at least one FoM, highlighting the importance of correctly selecting the input space. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect