Evaluation of mechanical cutting for disassembly of fast reactor fuel assemblies

Nishikawa, Hidetsugu; Takeuchi, Masayuki; Kitagaki, Toru; Inoue, A.; Sato, Isamu

doi:10.1080/00223131.2022.2087781

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…Among them, the real-time optimization model of DME/LPG fuel ratio with HCCI combustion control as the core is one of the more common application models. It not only designs the fuel composition finely (DME/LPG mixed fuel) [4][5][6] but also conducts targeted research on the mixture composition in the combustion environment (adding carbon dioxide into the intake air) and adjusts the engine parameters (changing the compression ratio). Thus, it can realize the optimization of fuel ratio under different working conditions and improve the combustion characteristics of fuel.…”

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%