Generation of fission yield covariances to correct discrepancies in the nuclear data libraries

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Generation of fission yield covariances to correct discrepancies in the nuclear data libraries. / Fiorito, Luca; Stankovskiy, Alexey; Van den Eynde, Gert; Diez, Carlos Javier; Cabellos, Oscar; Labeau, Pierre-Etienne.

In: Annals of nuclear energy, Vol. 88, 01.02.2016, p. 12-23.

Research output: Contribution to journalArticlepeer-review

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@article{632b4c14db1d49c6b29873a46e790a98,
title = "Generation of fission yield covariances to correct discrepancies in the nuclear data libraries",
abstract = "Fission yield uncertainties and correlations should be considered in the uncertainty quantification of burnup responses — e.g. isotopic inventory, effective neutron multiplication factor keff . Although nuclear data libraries generally provide independent fission yield uncertainties along with the best estimates, currently they lack complete covariance matrices. In addition, several inconsistencies were detected amongst the current fission yield evaluated uncertainties, which could impact on uncertainty quantification (UQ) studies. As a part of this work, we introduced fission yield correlations to sort out the datainconsistency found in the JEFF-3.1.1 fission yield library. Such correlations are produced using an iterative generalised least square (GLS) updating technique, with conservation equations acting as fitting models. The process revises the fission yield estimates and covariances according to reliable evaluations,when available, or conservation criteria. We chose to work with the PWR fuel rod model of the REBUS international program to test the new covariances, since experimental uncertainties on several concentrations are available. We propagated the original and updated fission yield covariances using a sampling approach and we quantified the uncertainty of keff and nuclide densities in the chosen burnup problem. The response uncertainty for keff and nuclide densities showed a sharp drop when using the new set of fission yield covariance matrices.",
keywords = "fission yield, correlation, Burnup, ALEPH, sampling",
author = "Luca Fiorito and Alexey Stankovskiy and {Van den Eynde}, Gert and Diez, {Carlos Javier} and Oscar Cabellos and Pierre-Etienne Labeau",
note = "Score=10",
year = "2016",
month = feb,
day = "1",
doi = "10.1016/j.anucene.2015.10.027",
language = "English",
volume = "88",
pages = "12--23",
journal = "Annals of nuclear energy",
issn = "0306-4549",
publisher = "Elsevier",

}

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TY - JOUR

T1 - Generation of fission yield covariances to correct discrepancies in the nuclear data libraries

AU - Fiorito, Luca

AU - Stankovskiy, Alexey

AU - Van den Eynde, Gert

AU - Diez, Carlos Javier

AU - Cabellos, Oscar

AU - Labeau, Pierre-Etienne

N1 - Score=10

PY - 2016/2/1

Y1 - 2016/2/1

N2 - Fission yield uncertainties and correlations should be considered in the uncertainty quantification of burnup responses — e.g. isotopic inventory, effective neutron multiplication factor keff . Although nuclear data libraries generally provide independent fission yield uncertainties along with the best estimates, currently they lack complete covariance matrices. In addition, several inconsistencies were detected amongst the current fission yield evaluated uncertainties, which could impact on uncertainty quantification (UQ) studies. As a part of this work, we introduced fission yield correlations to sort out the datainconsistency found in the JEFF-3.1.1 fission yield library. Such correlations are produced using an iterative generalised least square (GLS) updating technique, with conservation equations acting as fitting models. The process revises the fission yield estimates and covariances according to reliable evaluations,when available, or conservation criteria. We chose to work with the PWR fuel rod model of the REBUS international program to test the new covariances, since experimental uncertainties on several concentrations are available. We propagated the original and updated fission yield covariances using a sampling approach and we quantified the uncertainty of keff and nuclide densities in the chosen burnup problem. The response uncertainty for keff and nuclide densities showed a sharp drop when using the new set of fission yield covariance matrices.

AB - Fission yield uncertainties and correlations should be considered in the uncertainty quantification of burnup responses — e.g. isotopic inventory, effective neutron multiplication factor keff . Although nuclear data libraries generally provide independent fission yield uncertainties along with the best estimates, currently they lack complete covariance matrices. In addition, several inconsistencies were detected amongst the current fission yield evaluated uncertainties, which could impact on uncertainty quantification (UQ) studies. As a part of this work, we introduced fission yield correlations to sort out the datainconsistency found in the JEFF-3.1.1 fission yield library. Such correlations are produced using an iterative generalised least square (GLS) updating technique, with conservation equations acting as fitting models. The process revises the fission yield estimates and covariances according to reliable evaluations,when available, or conservation criteria. We chose to work with the PWR fuel rod model of the REBUS international program to test the new covariances, since experimental uncertainties on several concentrations are available. We propagated the original and updated fission yield covariances using a sampling approach and we quantified the uncertainty of keff and nuclide densities in the chosen burnup problem. The response uncertainty for keff and nuclide densities showed a sharp drop when using the new set of fission yield covariance matrices.

KW - fission yield

KW - correlation

KW - Burnup

KW - ALEPH

KW - sampling

UR - http://ecm.sckcen.be/OTCS/llisapi.dll?func=ll&objId=19668628&objaction=overview&tab=2

U2 - 10.1016/j.anucene.2015.10.027

DO - 10.1016/j.anucene.2015.10.027

M3 - Article

VL - 88

SP - 12

EP - 23

JO - Annals of nuclear energy

JF - Annals of nuclear energy

SN - 0306-4549

ER -

ID: 706283