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

被引:1
作者
Liu, Chunyu [1 ]
Luo, Run [1 ,2 ]
Macian-Juan, Rafael [1 ]
机构
[1] Tech Univ Munich TUM, Dept Mech Engn, Chair Nucl Technol, D-85748 Garching, Germany
[2] Univ South China, Sch Resource & Environm & Safety Engn, Hengyang 421001, Peoples R China
关键词
small module dual fluid reactor; delayed neutron precursor drifting; load regulation; uncertainty-based optimization; particle swarm optimization; uncertainty and sensitivity analysis; DESIGN;
D O I
10.3390/en14206708
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页数:22
相关论文
共 30 条
  • [1] [Anonymous], 2020, HEAT TRANSF MOD US G
  • [2] [Anonymous], 2020, CFD MOD US GUID
  • [3] [Anonymous], 2020, Introduction to COMSOL Multiphysics
  • [4] Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review
    Bonyadi, Mohammad Reza
    Michalewicz, Zbigniew
    [J]. EVOLUTIONARY COMPUTATION, 2017, 25 (01) : 1 - 54
  • [5] Chen S., 2009, CONSTRAINED PARTICLE
  • [6] Fazio C., 2015, Handbook on Lead-Bismuth Eutectic Alloy and Lead Properties, Materials Compatibility, Thermal-Hydraulics and Technologies-2015 Edition, Tech. rep.
  • [7] Glaeser Horst, 2008, Science and Technology of Nuclear Installations, DOI 10.1155/2008/798901
  • [8] Glaeser H., 2008, METHODENENTW ICKLUNG, V1, P86
  • [9] TALL-3D open and blind benchmark on natural circulation instability
    Grishchenko, D.
    Papukchiev, A.
    Liu, C.
    Geffray, C.
    Polidori, M.
    Koop, K.
    Jeltsov, M.
    Kudinov, P.
    [J]. NUCLEAR ENGINEERING AND DESIGN, 2020, 358
  • [10] Survey of sampling-based methods for uncertainty and sensitivity analysis
    Helton, J. C.
    Johnson, J. D.
    Sallaberry, C. J.
    Storlie, C. B.
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2006, 91 (10-11) : 1175 - 1209