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

Ville Valtavirta; Unna Lauranto; Ville Hovi; Jussi Peltonen; Antti Rintala; Riku Tuominen; Jaakko Leppänen

doi:10.1051/epjconf/202124706014

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

Ville Valtavirta, Unna Lauranto, Ville Hovi, Jussi Peltonen, Antti Rintala, Riku Tuominen, Jaakko Leppänen

Research output: Contribution to journal › Article in a proceedings journal › Scientific › peer-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 language	English
Pages (from-to)	1017-1024
Number of pages	8
Journal	EPJ Web of Conferences
Volume	247
DOIs	https://doi.org/10.1051/epjconf/202124706014
Publication status	Published - 2020
MoE publication type	A4 Article in a conference publication
Event	International Conference on Physics of Reactors, PHYSOR 2020: Transition to a Scalable Nuclear Future - Cambridge, United Kingdom Duration: 28 Mar 2020 → 2 Apr 2020

Keywords

Kraken
Reactivity coefficient
Reactivity worth
Shutdown margin
SMR

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10.1051/epjconf/202124706014Licence: CC BY

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

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.",

keywords = "Kraken, Reactivity coefficient, Reactivity worth, Shutdown margin, SMR",

author = "Ville Valtavirta and Unna Lauranto and Ville Hovi and Jussi Peltonen and Antti Rintala and Riku Tuominen and Jaakko Lepp{\"a}nen",

note = "Funding Information: This work has received funding from the LONKERO project under the Finnish National Research Programme on Nuclear Power Plant Safety, SAFIR2022. Publisher Copyright: {\textcopyright} The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).; International Conference on Physics of Reactors, PHYSOR 2020 : Transition to a Scalable Nuclear Future ; Conference date: 28-03-2020 Through 02-04-2020",

year = "2020",

doi = "10.1051/epjconf/202124706014",

language = "English",

volume = "247",

pages = "1017--1024",

journal = "EPJ Web of Conferences",

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High fidelity and reduced order solutions to an SMR-level progression problem with the Kraken computational framework. / Valtavirta, Ville; Lauranto, Unna; Hovi, Ville ; Peltonen, Jussi ; Rintala, Antti ; Tuominen, Riku ; Leppänen, Jaakko.

In: EPJ Web of Conferences, Vol. 247, 2020, p. 1017-1024.

Research output: Contribution to journal › Article in a proceedings journal › Scientific › peer-review

TY - JOUR

T1 - High fidelity and reduced order solutions to an SMR-level progression problem with the Kraken computational framework

AU - Valtavirta, Ville

AU - Lauranto, Unna

AU - Hovi, Ville

AU - Peltonen, Jussi

AU - Rintala, Antti

AU - Tuominen, Riku

AU - Leppänen, Jaakko

N1 - Funding Information: This work has received funding from the LONKERO project under the Finnish National Research Programme on Nuclear Power Plant Safety, SAFIR2022. Publisher Copyright: © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Kraken

KW - Reactivity coefficient

KW - Reactivity worth

KW - Shutdown margin

KW - SMR

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DO - 10.1051/epjconf/202124706014

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VL - 247

SP - 1017

EP - 1024

JO - EPJ Web of Conferences

JF - EPJ Web of Conferences

SN - 2101-6275

T2 - International Conference on Physics of Reactors, PHYSOR 2020

Y2 - 28 March 2020 through 2 April 2020

ER -

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

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Keywords

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