High fidelity and reduced order solutions to an SMR-level progression problem with the Kraken computational framework

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationPHYSOR 2020
Subtitle of host publicationTransition to Scalable Nuclear Energy
Number of pages8
Publication statusPublished - 2020
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Physics of Reactors, PHYSOR 2020: Cancelled - Cambridge, United Kingdom
Duration: 29 Mar 20202 Apr 2020
https://www.physor2020.com/

Conference

ConferenceInternational Conference on Physics of Reactors, PHYSOR 2020
CountryUnited Kingdom
CityCambridge
Period29/03/202/04/20
OtherCancelled
Internet address

Fingerprint Dive into the research topics of 'High fidelity and reduced order solutions to an SMR-level progression problem with the Kraken computational framework'. Together they form a unique fingerprint.

Cite this