Issue |
EPJ Nuclear Sci. Technol.
Volume 4, 2018
Special Issue on 4th International Workshop on Nuclear Data Covariances, October 2–6, 2017, Aix en Provence, France – CW2017
|
|
---|---|---|
Article Number | 42 | |
Number of page(s) | 7 | |
Section | Applied Covariances | |
DOI | https://doi.org/10.1051/epjn/2018023 | |
Published online | 14 November 2018 |
https://doi.org/10.1051/epjn/2018023
Regular Article
Sensitivity and uncertainty analysis of βeff for MYRRHA using a Monte Carlo technique
1
Institute for Advanced Nuclear Systems, Belgian Nuclear Research Centre (SCK∙CEN),
Boeretang 200,
2400
Mol,
Belgium
2
J-PARC Center, Japan Atomic Energy Agency (JAEA),
2-4, Shirakata, Tokai-mura,
Naka-gun, Ibaraki
319-1195,
Japan
3
Data Bank, OECD Nuclear Energy Agency (NEA),
46, Quai Alphonse Le Gallo
92100
Boulogne-Billancourt,
France
* e-mail: iwamoto.hiroki@jaea.go.jp
Received:
3
October
2017
Received in final form:
26
January
2018
Accepted:
14
May
2018
Published online: 14 November 2018
This paper presents a nuclear data sensitivity and uncertainty analysis of the effective delayed neutron fraction βeff for critical and subcritical cores of the MYRRHA reactor using the continuous-energy Monte Carlo N-Particle transport code MCNP. The βeff sensitivities are calculated by the modified k-ratio method proposed by Chiba. Comparing the βeff sensitivities obtained with different scaling factors a introduced by Chiba shows that a value of a = 20 is the most suitable for the uncertainty quantification of βeff. Using the calculated βeff sensitivities and the JENDL-4.0u covariance data, the βeff uncertainties for the critical and subcritical cores are determined to be 2.2 ± 0.2% and 2.0 ± 0.2%, respectively, which are dominated by delayed neutron yield of 239Pu and 238U.
© H. Iwamoto et al., published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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