LAPSE:2023.18670
Published Article
LAPSE:2023.18670
A New Uncertainty-Based Control Scheme of the Small Modular Dual Fluid Reactor and Its Optimization
Chunyu Liu, Run Luo, Rafael Macián-Juan
March 8, 2023
The small modular dual fluid reactor is a novel variant of the Generation IV molten salt reactor and liquid metal fast reactor. In the primary circuit, molten salt or liquid eutectic metal (U-Pu-Cr) is employed as fuel, and liquid lead works as the coolant in the secondary circuit. To design the control system of such an advanced reactor, the uncertainties of the employed computer model and the physicochemical properties of the materials must be considered. In this paper, a one-dimensional model of a core is established based on the equivalent parameters achieved via the coupled three-dimensional model, taking into account delayed neutron precursor drifting, and a power control system is developed. The performance of the designed controllers is assessed, taking into account the model and property uncertainties. The achieved results show that the designed control system is able to maintain the stability of the system and regulate the power as expected. Among the considered uncertain parameters, the reactivity coefficients of fuel temperature have the largest influence on the performance of the control system. The most optimized configuration of the control system is delivered based on the characteristics of uncertainty propagation by using the particle swarm optimization method.
Keywords
delayed neutron precursor drifting, load regulation, Particle Swarm Optimization, small module dual fluid reactor, uncertainty and sensitivity analysis, uncertainty-based optimization
Suggested Citation
Liu C, Luo R, Macián-Juan R. A New Uncertainty-Based Control Scheme of the Small Modular Dual Fluid Reactor and Its Optimization. (2023). LAPSE:2023.18670
Author Affiliations
Liu C: Chair of Nuclear Technology, Department of Mechanical Engineering, Technical University of Munich (TUM), 85748 Garching, Germany [ORCID]
Luo R: Chair of Nuclear Technology, Department of Mechanical Engineering, Technical University of Munich (TUM), 85748 Garching, Germany; School of Resource & Environment and Safety Engineering, University of South China, Hengyang 421001, China [ORCID]
Macián-Juan R: Chair of Nuclear Technology, Department of Mechanical Engineering, Technical University of Munich (TUM), 85748 Garching, Germany
Journal Name
Energies
Volume
14
Issue
20
First Page
6708
Year
2021
Publication Date
2021-10-15
Published Version
ISSN
1996-1073
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PII: en14206708, Publication Type: Journal Article
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doi:10.3390/en14206708
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