Optimisation of AGR-Like FHR Fuel Assembly Using Multi-Objective Particle Swarm Algorithm

Utilising molten salt as coolant instead of carbon dioxide in traditional advanced gas-cooled reactors (AGRs) can potentially increase their core power density, simplify the safety case and shorten time needed for development fluoride-salt-cooled high-temperature reactor (FHR). However, change has a strong impact on system behaviour. Therefore, new type fuel assembly is required. design affected by wide range parameters. Systematic search through all potential configurations prohibitively computationally expensive. In this work, multi objective particle swarm optimisation (MOPSO) algorithm utilised to identify most attractive candidate hybrid AGR-like FHR assembly. The first step targets basic parameters such radius enrichment pins, number arrangement. MOPSO based concept Pareto dominance, which used determine flight direction simulated particles. outcome process provides insight families possible solutions, described front.