FAST REACTOR MULTIPHYSICS AND UNCERTAINTY PROPAGATION WITHIN WIMS

For liquid metal-cooled fast reactors (LMFRs), improved predictive modelling is desirable to facilitate reactor licensing and operation and move towards a best estimate plus uncertainty (BEPU) approach. A key source of uncertainty in fast reactor calculations arises from the underlying nuclear data....

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Main Authors: Lindley Ben, Tollit Brendan, Smith Peter, Charles Alan, Mason Robert, Ware Tim, Perry Ray, Lavarenne Jean, Davies Una, Gregg Robert
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:EPJ Web of Conferences
Subjects:
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_06002.pdf
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author Lindley Ben
Tollit Brendan
Smith Peter
Charles Alan
Mason Robert
Ware Tim
Perry Ray
Lavarenne Jean
Davies Una
Gregg Robert
author_facet Lindley Ben
Tollit Brendan
Smith Peter
Charles Alan
Mason Robert
Ware Tim
Perry Ray
Lavarenne Jean
Davies Una
Gregg Robert
author_sort Lindley Ben
collection DOAJ
description For liquid metal-cooled fast reactors (LMFRs), improved predictive modelling is desirable to facilitate reactor licensing and operation and move towards a best estimate plus uncertainty (BEPU) approach. A key source of uncertainty in fast reactor calculations arises from the underlying nuclear data. Addressing the propagation of such uncertainties through multiphysics calculations schemes is therefore of importance, and is being addressed through international projects such as the Sodium-cooled Fast Reactor Uncertainty Analysis in Modelling (SFR-UAM) benchmark. In this paper, a methodology for propagation of nuclear data uncertainties within WIMS is presented. Uncertainties on key reactor physics parameters are calculated for selected SFR-UAM benchmark exercises, with good agreement with previous results. A methodology for coupled neutronic-thermal-hydraulic calculations within WIMS is developed, where thermal feedback is introduced to the neutronic solution through coupling with the ARTHUR subchannel code within WIMS and applied to steady-state analysis of the Horizon 2020 ESFR-SMART project reference core. Finally, integration of reactor physics and fuel performance calculations is demonstrated through linking of the WIMS reactor physics code to the TRAFIC fast reactor fuel performance code, through a Fortran-C-Python (FCP) interface. Given the 3D multiphysics calculation methodology, thermal-hydraulic and fuel performance uncertainties can ultimately be sampled alongside the nuclear data uncertainties. Together, these developments are therefore an important step towards enabling propagation of uncertainties through high fidelity, multiphysics SFR calculations and hence facilitate BEPU methodologies.
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spelling doaj.art-a41b159550b04ffdbbb484b55bf958ac2022-12-21T21:32:39ZengEDP SciencesEPJ Web of Conferences2100-014X2021-01-012470600210.1051/epjconf/202124706002epjconf_physor2020_06002FAST REACTOR MULTIPHYSICS AND UNCERTAINTY PROPAGATION WITHIN WIMSLindley Ben0Tollit Brendan1Smith Peter2Charles Alan3Mason Robert4Ware Tim5Perry Ray6Lavarenne Jean7Davies Una8Gregg Robert9Wood Kings Point House, Queen Mother SquareWood Kings Point House, Queen Mother SquareWood Kings Point House, Queen Mother SquareWood Kings Point House, Queen Mother SquareWood Kings Point House, Queen Mother SquareWood Kings Point House, Queen Mother SquareWood Kings Point House, Queen Mother SquareWood Kings Point House, Queen Mother SquareUniversity of Cambridge Cambridge University Engineering DepartmentNational Nuclear Laboratory Preston LaboratoryFor liquid metal-cooled fast reactors (LMFRs), improved predictive modelling is desirable to facilitate reactor licensing and operation and move towards a best estimate plus uncertainty (BEPU) approach. A key source of uncertainty in fast reactor calculations arises from the underlying nuclear data. Addressing the propagation of such uncertainties through multiphysics calculations schemes is therefore of importance, and is being addressed through international projects such as the Sodium-cooled Fast Reactor Uncertainty Analysis in Modelling (SFR-UAM) benchmark. In this paper, a methodology for propagation of nuclear data uncertainties within WIMS is presented. Uncertainties on key reactor physics parameters are calculated for selected SFR-UAM benchmark exercises, with good agreement with previous results. A methodology for coupled neutronic-thermal-hydraulic calculations within WIMS is developed, where thermal feedback is introduced to the neutronic solution through coupling with the ARTHUR subchannel code within WIMS and applied to steady-state analysis of the Horizon 2020 ESFR-SMART project reference core. Finally, integration of reactor physics and fuel performance calculations is demonstrated through linking of the WIMS reactor physics code to the TRAFIC fast reactor fuel performance code, through a Fortran-C-Python (FCP) interface. Given the 3D multiphysics calculation methodology, thermal-hydraulic and fuel performance uncertainties can ultimately be sampled alongside the nuclear data uncertainties. Together, these developments are therefore an important step towards enabling propagation of uncertainties through high fidelity, multiphysics SFR calculations and hence facilitate BEPU methodologies.https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_06002.pdfwimstraficsfr-uamesfr-smart
spellingShingle Lindley Ben
Tollit Brendan
Smith Peter
Charles Alan
Mason Robert
Ware Tim
Perry Ray
Lavarenne Jean
Davies Una
Gregg Robert
FAST REACTOR MULTIPHYSICS AND UNCERTAINTY PROPAGATION WITHIN WIMS
EPJ Web of Conferences
wims
trafic
sfr-uam
esfr-smart
title FAST REACTOR MULTIPHYSICS AND UNCERTAINTY PROPAGATION WITHIN WIMS
title_full FAST REACTOR MULTIPHYSICS AND UNCERTAINTY PROPAGATION WITHIN WIMS
title_fullStr FAST REACTOR MULTIPHYSICS AND UNCERTAINTY PROPAGATION WITHIN WIMS
title_full_unstemmed FAST REACTOR MULTIPHYSICS AND UNCERTAINTY PROPAGATION WITHIN WIMS
title_short FAST REACTOR MULTIPHYSICS AND UNCERTAINTY PROPAGATION WITHIN WIMS
title_sort fast reactor multiphysics and uncertainty propagation within wims
topic wims
trafic
sfr-uam
esfr-smart
url https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_06002.pdf
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