Issue |
EPJ Nuclear Sci. Technol.
Volume 6, 2020
Euratom Research and Training in 2019: challenges, achievements and future perspectives
|
|
---|---|---|
Article Number | 30 | |
Number of page(s) | 8 | |
Section | Part 1: Safety research and training of reactor systems | |
DOI | https://doi.org/10.1051/epjn/2019024 | |
Published online | 05 May 2020 |
https://doi.org/10.1051/epjn/2019024
Review Article
Nuclear data research supported by EURATOM: CHANDA, ERINDA and EUFRAT
1
Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Avda. Complutense, 40, 28040 Madrid, Spain
2
Helmholtz-Zentrum Dresden − Rossendorf (HZDR), Bautzner Landstr. 400, 01328 Dresden, Germany
3
Joint Research Centre (JRC), Retieseweg 111, 2440 Geel, Belgium
* e-mail: enrique.gonzalez@ciemat.es
Received:
12
March
2019
Accepted:
4
June
2019
Published online: 5 May 2020
Nuclear data and associated tools are critical elements of the nuclear energy industry and research, playing an essential role in the simulation of nuclear systems, safety and performance calculations and interpretation of the reactor instrumentation. Nuclear data improvement requires a combination of much different know-hows that are distributed over many small- and medium-sized institutions along Europe. The Euratom programs have facilitated the setup of pan European collaborations getting together the required experience inside the projects CHANDA, ERINDA and the JRC action EUFRAT. The paper describes the holistic and inclusive approach of these projects that have also worked together to coordinate the European nuclear data research capabilities to improve the facilities, detectors, models and evaluation, validation and simulation tools. It also shows examples of success histories and summary of results of these projects and of their impact on the EU nuclear safety and industry, together with an outlook to the future.
© E.M. Gonzalez et al., published by EDP Sciences, 2020
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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