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Reimagining nuclear materials for the future of medicine
Nuclear medicine has come a long way since Henri Becquerel first observed the penetrating energy of radioactive materials in 1896. Today, technetium-99m alone is used in more than 40 million diagnostic procedures every year—from cardiovascular imaging and bone scans to cancer detection—making it the undisputed workhorse of nuclear medicine. That single statistic tells you something important: An enormous portion of modern diagnostic medicine rests on a surprisingly narrow foundation, one built around a small number of aging research reactors that were never originally designed for continuous isotope production.
K. Zwijsen, D. Dovizio, P. A. Breijder, F. Alcaro, , F. Roelofs (NRG)
Proceedings | 2018 International Congress on Advances in Nuclear Power Plants (ICAPP 2018) | Charlotte, NC, April 8-11, 2018 | Pages 935-944
CIRCE is a test facility designed and realized by the Italian agency ENEA to support the heavy liquid metal technology for nuclear fission plants. Within the H2020 projects MYRTE and SESAME, various experiments will be performed in this facility, using two different heat exchangers, resembling nominal operation and accident scenarios of a Liquid Metal Fast Reactor (LMFR). Simultaneously, within these projects different thermal-hydraulics models of CIRCE are created to gain experience in the modelling of such a facility and to help future development of LMFRs. At NRG, both an STH and CFD model of CIRCE in two different configurations, are created. These two models are to be coupled eventually. The present paper describes these two models. Results obtained with these models are, where possible, compared with experimental results, both for steady-state and transient conditions. For the steady-state, generally good agreement is found. The transient simulation performed recovers some of the main features of the experiment, however excessive cooling is found. The cause is currently under investigation, which is complicated due to the lack of experimental data.