Impact of nuclear data evaluations on data assimilation for an LFR

The Lead-cooled Fast Reactor is one of the three technologies selected by the Sustainable Nuclear Energy Technology Platform that can meet future European energy needs. The main drawbacks for the industrial deployment of LFR are the lack of operational experience and the impact of uncertainties. In...

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Main Authors: Romojaro Pablo, Álvarez-Velarde Francisco
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2020/15/epjconf_nd2019_13007.pdf
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author Romojaro Pablo
Álvarez-Velarde Francisco
author_facet Romojaro Pablo
Álvarez-Velarde Francisco
author_sort Romojaro Pablo
collection DOAJ
description The Lead-cooled Fast Reactor is one of the three technologies selected by the Sustainable Nuclear Energy Technology Platform that can meet future European energy needs. The main drawbacks for the industrial deployment of LFR are the lack of operational experience and the impact of uncertainties. In nuclear reactor design the uncertainties mainly come from material properties, fabrication tolerances, operation conditions, simulation tools and nuclear data. The uncertainty in nuclear data is one of the most important sources of uncertainty in reactor physics simulations. Furthermore, it is known that the uncertainties in reactor criti-cality safety parameters are severely dependent on the nuclear data library used to estimate them. However, the impact of using different evaluations while performing data assimilation to constraint the uncertainties in the criticality parameters has not been properly assessed yet. In this work, a data assimilation for the main isotopes contributing to the uncertainty in keff of the ALFRED lead-cooled fast reactor has been performed with the SUMMON system using JEFF-3.3, ENDF/B-VIII.0 and JENDL-4.0u2 state-of-the-art nuclear data libraries, together with critical mass experiments from the International Criticality Safety Benchmark Evaluation Project that are representative of ALFRED, in order to assess the impact of using different evaluations for data assimilation.
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spelling doaj.art-baf6e308259b4066b68b730b1da1011a2022-12-21T22:10:09ZengEDP SciencesEPJ Web of Conferences2100-014X2020-01-012391300710.1051/epjconf/202023913007epjconf_nd2019_13007Impact of nuclear data evaluations on data assimilation for an LFRRomojaro Pablo0Álvarez-Velarde Francisco1Centro de investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Energy DepartmentCentro de investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Energy DepartmentThe Lead-cooled Fast Reactor is one of the three technologies selected by the Sustainable Nuclear Energy Technology Platform that can meet future European energy needs. The main drawbacks for the industrial deployment of LFR are the lack of operational experience and the impact of uncertainties. In nuclear reactor design the uncertainties mainly come from material properties, fabrication tolerances, operation conditions, simulation tools and nuclear data. The uncertainty in nuclear data is one of the most important sources of uncertainty in reactor physics simulations. Furthermore, it is known that the uncertainties in reactor criti-cality safety parameters are severely dependent on the nuclear data library used to estimate them. However, the impact of using different evaluations while performing data assimilation to constraint the uncertainties in the criticality parameters has not been properly assessed yet. In this work, a data assimilation for the main isotopes contributing to the uncertainty in keff of the ALFRED lead-cooled fast reactor has been performed with the SUMMON system using JEFF-3.3, ENDF/B-VIII.0 and JENDL-4.0u2 state-of-the-art nuclear data libraries, together with critical mass experiments from the International Criticality Safety Benchmark Evaluation Project that are representative of ALFRED, in order to assess the impact of using different evaluations for data assimilation.https://www.epj-conferences.org/articles/epjconf/pdf/2020/15/epjconf_nd2019_13007.pdf
spellingShingle Romojaro Pablo
Álvarez-Velarde Francisco
Impact of nuclear data evaluations on data assimilation for an LFR
EPJ Web of Conferences
title Impact of nuclear data evaluations on data assimilation for an LFR
title_full Impact of nuclear data evaluations on data assimilation for an LFR
title_fullStr Impact of nuclear data evaluations on data assimilation for an LFR
title_full_unstemmed Impact of nuclear data evaluations on data assimilation for an LFR
title_short Impact of nuclear data evaluations on data assimilation for an LFR
title_sort impact of nuclear data evaluations on data assimilation for an lfr
url https://www.epj-conferences.org/articles/epjconf/pdf/2020/15/epjconf_nd2019_13007.pdf
work_keys_str_mv AT romojaropablo impactofnucleardataevaluationsondataassimilationforanlfr
AT alvarezvelardefrancisco impactofnucleardataevaluationsondataassimilationforanlfr