A HELIOS-Based Dynamic Salt Clean-Up Study for iMAGINE
| Autor: | Bruno Merk, Anna Detkina, Dzianis Litskevich, Omid Noori-Kalkhoran, Gregory Cartland-Glover |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Applied Sciences, Vol 12, Iss 17, p 8748 (2022) |
| Druh dokumentu: | article |
| ISSN: | 12178748 2076-3417 |
| DOI: | 10.3390/app12178748 |
| Popis: | Nuclear technologies have the potential to play a unique role in delivering low carbon energy for a future net-zero society. However, for long-term success, nuclear technologies will need to deliver innovative solutions as proposed in iMAGINE. One of the key challenges for the envisaged highly integrated nuclear energy system is the need for a demand-driven salt clean-up system. The work described provides an insight into the interplay between a potential salt clean-up system and the reactor operation in a dynamic approach. The results provided will help to optimise the parameters for the salt clean-up process by delivering a dynamically calculated priority list, identifying the elements with great influence on reactor operation. The integrated model is used to investigate the ideal time for the initiation of the clean-up as well as the effect of different throughputs through the clean-up system on criticality as well as on the concentration of the elements in the reactor salt. Finally, a staggered approach is proposed with the idea to phase in the chemical clean-up processes step by step to keep the reactor critical. The results provide an essential step for the progress of iMAGINE as well as a basis for the interdisciplinary work required to bring iMAGINE into real operation. |
| Databáze: | Directory of Open Access Journals |
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