Variance Decomposition Sensitivity Analysis of a Passive Residual Heat Removal System Model

Y. Yu (1) , Tao Liu (1) , Jiejuan Tong (1) , Jun Zhao (1) , Francesco Di Maio (2) , Enrico Zio (2, 3, 4) , Aling Zhang (1)

1 Institute of Nuclear and New Energy Technology
2 Dipartimento di Energia [Milano]
3 SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec
4 LGI - Laboratoire Génie Industriel - EA 2606

Passive systems are central in the safety design of new generation nuclear power plants (NPPs). In this paper, the variance decomposition method is adopted to identify key parameters which influence the uncertain behavior of the passive Residual Heat Removal system (RHRs) in the High Temperature Gas-Cooled Reactor (HTGR).

Mots clés: High Temperature Gas-Cooled Reactor; Pebble Bed Modular (HTR-PM).; Pebble Bed Modular (HTR-PM); Uncertainty and Sensitivity Analysis; Variance Decomposition; Passive Safety System; Residual Heat Removal system (RHRs)

Domaines: Autre

Y. Yu, Tao Liu, Jiejuan Tong, Jun Zhao, Francesco Di Maio, et al.. Variance Decomposition Sensitivity Analysis of a Passive Residual Heat Removal System Model. Sixth International Conference on Sensitivity Analysis of Model Output, SAMO2010, 2010, pp.7772 - 7773. ⟨hal-00721059⟩