Nuclear data uncertainty propagation on a sodium fast reactor

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Nuclear data uncertainty propagation on a sodium fast reactor. / Griseri, Matteo; Stankovskiy, Alexey; Van den Eynde, Gert; Fiorito, Luca.

In: Nuclear Engineering and Design, Vol. 324, 09.11.2017, p. 122-130.

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@article{34ba99ff435b423cacc445db364f63fb,
title = "Nuclear data uncertainty propagation on a sodium fast reactor",
abstract = "Uncertainties on criticality parameters and reactivity effects in a SFR (Sodium Fast Reactor) were calculated and characterized. An SFR model loaded with ≈ 10% MAs (Minor Actinides) was chosen as test case of a burner reactor, its core geometry was implemented in MCNP-5 according to benchmarking specifications. Monte Carlo random sampling on the ENDF/B-VII.1 neutron-induced nuclear data was performed using the SANDY code developed at the Belgian nuclear research center SCK•CEN. SANDY was proved to be a successful tool for uncertainty quantification in the model case of a MA burner SFR. The results show that despite the high content in MAs, the contribution of U-238 data is still dominant in most instances, especially the inelastic scattering cross section data. Minor actinides together with Pu make up to 33% of the total calculated keff uncertainty, which amounts to ± 1345 pcm of reactivity. Relative uncertainty greater than ± 3.47% was estimated for βeff with significant contribution from the prompt multiplicity data of U-238 and Pu-239. Relative uncertainty on the Doppler reactivity worth was found to be at least ± 12.6%. Coolant voiding in different core zones yields reactivity worth with relative uncertainties whose lower bounds range from ± 6.37% to ± 22.47% depending on the voiding conditions, with important contributions due to the Na-23 nuclear data uncertainty.",
keywords = "neutronics, SFR, uncertainty, monte carlo, minor actinides",
author = "Matteo Griseri and Alexey Stankovskiy and {Van den Eynde}, Gert and Luca Fiorito",
note = "Score=10",
year = "2017",
month = nov,
day = "9",
doi = "10.1016/j.nucengdes.2017.08.018",
language = "English",
volume = "324",
pages = "122--130",
journal = "Nuclear Engineering and Design",
issn = "0029-5493",
publisher = "Elsevier",

}

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TY - JOUR

T1 - Nuclear data uncertainty propagation on a sodium fast reactor

AU - Griseri, Matteo

AU - Stankovskiy, Alexey

AU - Van den Eynde, Gert

AU - Fiorito, Luca

N1 - Score=10

PY - 2017/11/9

Y1 - 2017/11/9

N2 - Uncertainties on criticality parameters and reactivity effects in a SFR (Sodium Fast Reactor) were calculated and characterized. An SFR model loaded with ≈ 10% MAs (Minor Actinides) was chosen as test case of a burner reactor, its core geometry was implemented in MCNP-5 according to benchmarking specifications. Monte Carlo random sampling on the ENDF/B-VII.1 neutron-induced nuclear data was performed using the SANDY code developed at the Belgian nuclear research center SCK•CEN. SANDY was proved to be a successful tool for uncertainty quantification in the model case of a MA burner SFR. The results show that despite the high content in MAs, the contribution of U-238 data is still dominant in most instances, especially the inelastic scattering cross section data. Minor actinides together with Pu make up to 33% of the total calculated keff uncertainty, which amounts to ± 1345 pcm of reactivity. Relative uncertainty greater than ± 3.47% was estimated for βeff with significant contribution from the prompt multiplicity data of U-238 and Pu-239. Relative uncertainty on the Doppler reactivity worth was found to be at least ± 12.6%. Coolant voiding in different core zones yields reactivity worth with relative uncertainties whose lower bounds range from ± 6.37% to ± 22.47% depending on the voiding conditions, with important contributions due to the Na-23 nuclear data uncertainty.

AB - Uncertainties on criticality parameters and reactivity effects in a SFR (Sodium Fast Reactor) were calculated and characterized. An SFR model loaded with ≈ 10% MAs (Minor Actinides) was chosen as test case of a burner reactor, its core geometry was implemented in MCNP-5 according to benchmarking specifications. Monte Carlo random sampling on the ENDF/B-VII.1 neutron-induced nuclear data was performed using the SANDY code developed at the Belgian nuclear research center SCK•CEN. SANDY was proved to be a successful tool for uncertainty quantification in the model case of a MA burner SFR. The results show that despite the high content in MAs, the contribution of U-238 data is still dominant in most instances, especially the inelastic scattering cross section data. Minor actinides together with Pu make up to 33% of the total calculated keff uncertainty, which amounts to ± 1345 pcm of reactivity. Relative uncertainty greater than ± 3.47% was estimated for βeff with significant contribution from the prompt multiplicity data of U-238 and Pu-239. Relative uncertainty on the Doppler reactivity worth was found to be at least ± 12.6%. Coolant voiding in different core zones yields reactivity worth with relative uncertainties whose lower bounds range from ± 6.37% to ± 22.47% depending on the voiding conditions, with important contributions due to the Na-23 nuclear data uncertainty.

KW - neutronics

KW - SFR

KW - uncertainty

KW - monte carlo

KW - minor actinides

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/26685773

U2 - 10.1016/j.nucengdes.2017.08.018

DO - 10.1016/j.nucengdes.2017.08.018

M3 - Article

VL - 324

SP - 122

EP - 130

JO - Nuclear Engineering and Design

JF - Nuclear Engineering and Design

SN - 0029-5493

ER -

ID: 3255761