A HELIOS-Based Dynamic Salt Clean-Up Study for iMAGINE

Merk, Bruno, Detkina, Anna, Litskevich, Dzianis ORCID: 0000-0002-3207-3058, Noori-Kalkhoran, Omid and Cartland-Glover, Gregory
(2022) A HELIOS-Based Dynamic Salt Clean-Up Study for iMAGINE. APPLIED SCIENCES-BASEL, 12 (17). p. 8748.

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<jats:p>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.</jats:p>

Item Type: Article
Uncontrolled Keywords: nuclear, nuclear energy, nuclear reactors, reactor physics, modelling and simulation, molten salt reactors, nuclear chemistry, fission products, salt clean-up
Divisions: Faculty of Science and Engineering > School of Engineering
Depositing User: Symplectic Admin
Date Deposited: 08 Sep 2022 16:26
Last Modified: 15 Mar 2024 05:53
DOI: 10.3390/app12178748
Open Access URL: https://www.mdpi.com/2076-3417/12/17/8748
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3163906