Thermal hydraulic analysis of a deformed SFR fuel assembly using CFD

Li, YaoDi; Huang, Mei; Cheng, YanTing; Wang, Boxue; Meng, Xiangyuan

doi:10.1016/j.anucene.2022.109520

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…However, this model is based on the existing fuel resources and lacks the utilization and analysis of new fuels. In addition, the COREX fuel proportioning model based on decision tree algorithm rule extraction is also a widely used model at present [7][8][9], and its specific research object is the COREX-3000-2# boiler. When learning the sample data, the decision tree C4 5 rule extraction mechanism is introduced, and the quantitative relationship between fuel proportioning and output coke ratio [10][11] is analyzed based on knowledge rules, which greatly improves the energy release of fuel [12][13].…”

Section: Introductionmentioning

confidence: 99%

Fuel Combination Optimization Model of Thermal Power Plant Based on New Particle Swarm Optimization Algorithm

Cui

2024

J. Phys.: Conf. Ser.

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Influenced by the unbalanced state of particle swarm in the process of fuel combustion in thermal power plants, the fuel cost in the thermal power generation stage is relatively high. Therefore, a new particle swarm optimization model for fuel combination in thermal power plants is proposed. Combined with the combustion properties of different fuels, from the point of view of particle swarm optimization, in the process of carrying out specific particle swarm optimization simulation, the original particle swarm optimization algorithm is improved adaptively. A new particle swarm optimization algorithm is constructed by coupling it with a multiphase turbulence model. The fuel combustion performance of the power plant is analyzed by using its coupling. The optimization model of fuel combination in the thermal power plant is constructed by maximizing the energy release of fuel as the core, and the state of the fluid-particle field is taken as the constraint condition. In the test results, the design of the fuel combination optimization model can fully improve the energy release degree of fuel and reduce fuel consumption under the same power generation demand, which has a positive effect on power generation cost control.

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