A New Uncertainty-Based Control Scheme of the Small Modular Dual Fluid Reactor and Its Optimization

Chunyu Liu, Run Luo and Rafael Macián-Juan
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Chunyu Liu: Chair of Nuclear Technology, Department of Mechanical Engineering, Technical University of Munich (TUM), 85748 Garching, Germany
Run Luo: Chair of Nuclear Technology, Department of Mechanical Engineering, Technical University of Munich (TUM), 85748 Garching, Germany
Rafael Macián-Juan: Chair of Nuclear Technology, Department of Mechanical Engineering, Technical University of Munich (TUM), 85748 Garching, Germany

Energies, 2021, vol. 14, issue 20, 1-22

Abstract: 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: small module dual fluid reactor; delayed neutron precursor drifting; load regulation; uncertainty-based optimization; particle swarm optimization; uncertainty and sensitivity analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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