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Neutron-induced nuclear data for the MYRRHA fast spectrum facility

Authors :
Romojaro Pablo
Žerovnik Gašper
Álvarez-Velarde Francisco
Stankovskiy Alexey
Kodeli Ivan
Fiorito Luca
Díez Carlos Javier
Cabellos Óscar
García-Herranz Nuria
Heyse Jan
Paradela Carlos
Schillebeeckx Peter
Eynde Gert Van den
Source :
EPJ Web of Conferences, Vol 146, p 09007 (2017)
Publication Year :
2017
Publisher :
EDP Sciences, 2017.

Abstract

The MYRRHA (Multi-purpose hYbrid Research Reactor for High-tech Applications) concept is a flexible experimental lead-bismuth cooled and mixed-oxide (MOX) fueled fast spectrum facility designed to operate both in sub-critical (accelerator driven) and critical modes. One of the key issues for the safe operation of the reactor is the uncertainty assessment during the design works. The main objective of the European project CHANDA (solving CHAllenges in Nuclear DAta) Work Package 10 is to improve MYRRHA relevant nuclear data in order to reduce the reactor parameter uncertainties derived from them. In order to achieve this goal, several tasks have been undertaken. First, a sensitivity study of MYRRHA integral parameters, such as energy dependent cross sections, fission spectra and neutron multiplicities, to nuclear data has been conducted resulting in a list of MYRRHA relevant quantities (nuclides and reactions). On the second task, an analysis of the existing experimental data and evaluations for the quantities included in the list has been carried out. In this framework, the impact on the multiplication factor of quantities from different nuclear data libraries for different nuclides, reactions and energy regions has been investigated on the MYRRHA MOX critical core model. As the next step, new experiments and evaluations will be performed in order to improve existing nuclear data libraries.

Subjects

Subjects :
Physics
QC1-999

Details

Language :
English
ISSN :
2100014X
Volume :
146
Database :
Directory of Open Access Journals
Journal :
EPJ Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.238c86e815c41f1b540073853fd3226
Document Type :
article
Full Text :
https://doi.org/10.1051/epjconf/201714609007