1. Variance Decomposition Sensitivity Analysis of a Passive Residual Heat Removal System Model
- Author
-
Zio Enrico, DI Maio Francesco, Zhao Jun, Zhang Aling, Liu Tao, Yu Yu, Tong Jiejuan, Institute of Nuclear and New Energy Technology, Tsinghua University [Beijing] (THU), Dipartimento di Energia [Milano] (DENG), Politecnico di Milano [Milan] (POLIMI), Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec (SSEC), Ecole Centrale Paris-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-CentraleSupélec-EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF), Laboratoire Génie Industriel - EA 2606 (LGI), and CentraleSupélec
- Subjects
[SPI.OTHER]Engineering Sciences [physics]/Other ,Engineering ,Passive systems ,Safety design ,Residual Heat Removal system (RHRs) ,020209 energy ,Nuclear engineering ,02 engineering and technology ,Residual ,7. Clean energy ,01 natural sciences ,010305 fluids & plasmas ,System model ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,Sensitivity (control systems) ,Passive Safety System ,Pebble Bed Modular (HTR-PM) ,Uncertainty and Sensitivity Analysis ,Waste management ,business.industry ,Variance Decomposition ,Nuclear power ,High Temperature Gas-Cooled Reactor – Pebble Bed Modular (HTR-PM) ,High Temperature Gas-Cooled Reactor ,13. Climate action ,Variance decomposition of forecast errors ,business - Abstract
International audience; 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).
- Published
- 2010