High fidelity and reduced order solutions to an SMR-level progression problem with the Kraken computational framework
Year of publication
2020
Authors
Valtavirta, Ville; Lauranto, Unna; Hovi, Ville; Peltonen, Jussi; Rintala, Antti; Tuominen, Riku; Leppänen, Jaakko
Abstract
<p>Kraken is a new computational reactor analysis framework under development at VTT Technical Research Center of Finland Ltd. The framework builds heavily on the new generation of Finnish simulation codes such as the Serpent Monte Carlo code, the Ants nodal neutronics solver and the FINIX fuel behavior module. This paper describes the application of Kraken to its first realistic full core problem, a small modular reactor (SMR) core in its fresh state in order to evaluate control rod worths, shutdown margins and reactivity coefficients for the core.</p>
Show moreOrganizations and authors
Publication type
Publication format
Article
Parent publication type
Conference
Article type
Other article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A4 Article in conference proceedingsPublication channel information
Journal/Series
Volume
247
Pages
1017-1024
ISSN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
License of the publisher’s version
CC BY
Self-archived
No
Other information
Fields of science
Materials engineering
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object]
Language
English
International co-publication
No
Co-publication with a company
No
DOI
10.1051/epjconf/202124706014
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes