Nuclear data uncertainty propagation to the Doppler coefficient of MYRRHA

Luca Fiorito; Matteo Zanetti; Federico Grimaldi; Pablo Romojaro; Gert Van den Eynde

Nuclear data uncertainty propagation to the Doppler coefficient of MYRRHA

Luca Fiorito, Matteo Zanetti, Federico Grimaldi, Pablo Romojaro, Gert Van den Eynde

Research output

Abstract

This work investigates the impact of nuclear data on the uncertainty of the Doppler reactivity feedback effect for the MYRRHA fast reactor. Covariance matrices from the JEFF-3.3 and ENDF/B-VIII.0 nuclear data libraries were propagated using a stochastic sampling approach implemented with the SANDY code and the Monte Carlo particle transport code Serpent 2. This technique allowed us to derive an uncertainty bound for the Doppler coefficient that is only marginally affected by the statistical error of the Monte Carlo calculation.

Original language	English
Number of pages	10
State	Unpublished - 13 Aug 2023
Event	2023 - M&C: International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering - Sheraton Fallsview Hotel, Niagara Falls Duration: 13 Aug 2023 → 17 Aug 2023

Conference

Conference	2023 - M&C
Abbreviated title	M&C2023
Country/Territory	Canada
City	Niagara Falls
Period	2023-08-13 → 2023-08-17

Access to Document

Nuclear data uncertainty propagation to the Doppler coefficient of MYRRHA.pdfFinal published version, 954 KBLicense: Other

Cite this

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title = "Nuclear data uncertainty propagation to the Doppler coefficient of MYRRHA",

abstract = "This work investigates the impact of nuclear data on the uncertainty of the Doppler reactivity feedback effect for the MYRRHA fast reactor. Covariance matrices from the JEFF-3.3 and ENDF/B-VIII.0 nuclear data libraries were propagated using a stochastic sampling approach implemented with the SANDY code and the Monte Carlo particle transport code Serpent 2. This technique allowed us to derive an uncertainty bound for the Doppler coefficient that is only marginally affected by the statistical error of the Monte Carlo calculation.",

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author = "Luca Fiorito and Matteo Zanetti and Federico Grimaldi and Pablo Romojaro and {Van den Eynde}, Gert",

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T1 - Nuclear data uncertainty propagation to the Doppler coefficient of MYRRHA

AU - Fiorito, Luca

AU - Zanetti, Matteo

AU - Grimaldi, Federico

AU - Romojaro, Pablo

AU - Van den Eynde, Gert

N1 - Score=1

PY - 2023/8/13

Y1 - 2023/8/13

N2 - This work investigates the impact of nuclear data on the uncertainty of the Doppler reactivity feedback effect for the MYRRHA fast reactor. Covariance matrices from the JEFF-3.3 and ENDF/B-VIII.0 nuclear data libraries were propagated using a stochastic sampling approach implemented with the SANDY code and the Monte Carlo particle transport code Serpent 2. This technique allowed us to derive an uncertainty bound for the Doppler coefficient that is only marginally affected by the statistical error of the Monte Carlo calculation.

AB - This work investigates the impact of nuclear data on the uncertainty of the Doppler reactivity feedback effect for the MYRRHA fast reactor. Covariance matrices from the JEFF-3.3 and ENDF/B-VIII.0 nuclear data libraries were propagated using a stochastic sampling approach implemented with the SANDY code and the Monte Carlo particle transport code Serpent 2. This technique allowed us to derive an uncertainty bound for the Doppler coefficient that is only marginally affected by the statistical error of the Monte Carlo calculation.

KW - Fast reactor

KW - Doppler

KW - Nuclear data

KW - Uncertainty

KW - SANDY

UR - https://ecm.sckcen.be/OTCS/llisapi.dll/open/55459713

M3 - Paper

T2 - 2023 - M&C

Y2 - 13 August 2023 through 17 August 2023

ER -