Development of a calculation model to simulate the effect of bowing of the VVER-1000 reactor fuel assembly on power distribution

Vosoughi, Javad; Vosoughi, Naser; Salehi, Ali

doi:10.1016/j.anucene.2022.109535

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…For thermal power plants, one of the most important cost inputs is the fuel cost in the power generation stage. However, due to the influence of the objective combustion state, there is a situation in which the energy release of some fuels is low [1][2][3], which greatly affects the effective utilization value of fuel and increases the operating cost of power enterprises to a certain extent. Therefore, more and more attention has been paid to the research based on the fuel combination of thermal power plants.…”

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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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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“…There are a number of simulation and experimental results which prove that local power distribution was changed dramatically along with the bow deformation of fuel rod, which would even influence critical heat flux (CHF). [19][20][21][22][23][24] On the other hand, it has a great influence on the flow and heat transfer characteristics of coolant in the subchannels as flow structure changes. Relevant literatures are relatively limited, and the research content has certain limitations.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation on effects of fuel rod with different shapes of bow deformation on the subcooled boiling of coolant in a fuel assembly

et al. 2023

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The Eulerian two‐phase boiling model of the subcooled boiling of coolant in a 3 × 3 fuel assembly is established and compared with the experimental data to verify its accuracy. The effects of four shapes of bow deformation on subcooled boiling flow and heat transfer characteristics are obtained by comparing and analyzing the distributions of thermal–hydraulic parameters, including the axial wall superheat, liquid phase temperature, axial void fraction, various heat fluxes, heat transfer coefficient, and turbulent kinetic energy. All shapes of bow deformation will lead to the redistribution of coolant among different subchannels, and the distributions of thermal–hydraulic parameters would be greatly affected. The bow deformation of fuel rod easily causes local boiling, which results in local high temperature of liquid phase and bubble accumulation, and a decrease in the area of high liquid phase heat transfer coefficient on the surface of bowing fuel rod. Additionally, the non‐uniform distribution of turbulent kinetic energy caused by bow deformation in different axial sections not only affects the heat transfer performance of coolant, but also causes the increment in pressure drop, which has negative effects on the safe operation of the nuclear reactor. This paper can provide data and theoretical support for engineering design.

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“…In a few cases, the fuel rods are hard to insert into FAs, which will seriously endanger the safety of boiling water reactors and pressurized water reactors [4]. The deformation inspection of all FAs is crucial for safely operating nuclear power plant reactors [5][6][7][8][9]. Now, the orthogonal visual inspection system is established in the nuclear power plant to obtain videos of the FAs hoisting process during the * Author to whom any correspondence should be addressed.…”

Section: Introductionmentioning

confidence: 99%

A panoramic image stitching method for nuclear fuel assemblies

Yang,

Cheng,

Chen

et al. 2023

Meas. Sci. Technol.

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The fuel assembly (FA) is the core component of the nuclear reactor, and inaccurate inspection of FA bending and deformation can cause severe disasters in nuclear power plant reactors. It is an important task to restore a panoramic image of the FA from the video collected by the orthogonal visual inspection system. It can provide a more intuitive qualitative observation. Meanwhile, it is conducive to the estimation of deformation. This paper proposes a panoramic image stitching method for nuclear FA, which classifies video frames into grid images (GI) and non-grid images (NGI). It utilizes the speed of GI frames to estimate the speed of NGI frames. The horizontal offset and vertical offset between frames are estimated in two steps. The high-quality panoramic image can be obtained by image fusion. The experimental results indicate that the proposed method can achieve the panoramic image stitching of simulated samples and actual FAs with a deformation estimation accuracy of 0.3 mm. The proposed method has been verified and used in actual nuclear power plant reactor maintenance.

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Development of a calculation model to simulate the effect of bowing of the VVER-1000 reactor fuel assembly on power distribution

Cited by 6 publications

References 7 publications

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

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

Numerical investigation on effects of fuel rod with different shapes of bow deformation on the subcooled boiling of coolant in a fuel assembly

A panoramic image stitching method for nuclear fuel assemblies

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