Article (Scientific journals)
Modelling of Passive Heat Removal Systems: A Review with Reference to the Framatome KERENA BWR Reactor: Part I
Moonesi Shabestary, Amirhossein; Viereckl, Frances; Zhang, Yu et al.
2019In Energies
Peer reviewed
 

Files


Full Text
energies-13-00035-v2-1.pdf
Publisher postprint (6.98 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
passive heat removal systems; condensation; containment cooling condensers
Abstract :
[en] Passive safety systems are an important feature of currently designed and constructed nuclear power plants. They operate independent of external power supply and manual interventionsand are solely driven by thermal gradients and gravitational force. This brings up new needs forperformance and reliably assessment. This paper provides a review on fundamental approaches to model and analyze the performance of passive heat removal systems exemplified for the passive heat removal chain of the KERENA boiling water reactor concept developed by Framatome. We discuss modelling concepts for one-dimensional system codes such as ATHLET, RELAP and TRACE and furthermore for computational fluid dynamics codes. Part I deals with numerical and experimental methods for modelling of condensation inside the emergency condensers and on the containment cooling condenser while part II deals with boiling and two-phase flow instabilities.
Disciplines :
Mechanical engineering
Author, co-author :
Moonesi Shabestary, Amirhossein
Viereckl, Frances
Zhang, Yu
Manthey, Rene
Lucas, Dirk
Schuster, Christoph
Leyer, Stephan ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Hurtado, Antonio
Hampel, Uwe
External co-authors :
yes
Language :
English
Title :
Modelling of Passive Heat Removal Systems: A Review with Reference to the Framatome KERENA BWR Reactor: Part I
Publication date :
19 December 2019
Journal title :
Energies
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 27 January 2020

Statistics


Number of views
74 (10 by Unilu)
Number of downloads
294 (2 by Unilu)

Scopus citations®
 
9
Scopus citations®
without self-citations
4
OpenCitations
 
8
WoS citations
 
6

Bibliography


Similar publications



Contact ORBilu