Giovanni Laranjo de Stefani, Thiago Augusto dos Santos, Arthur Leal de Albuquerque, Roberto Junior Artuso Miranda, Marcelo Vilela da Silva, José Rafael Nicolao Carneiro, Maria Vitória de Aguiar Oliveira, Roberto Schirru
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引用次数: 0
摘要
这项工作提出了一种基于种子毯单元(SBU)概念的燃料组件设计,其特点是两个不同的区域:中心区域(种子)的铀板加强中子泄漏,周围区域(毯)由由钍和铀组成的混合氧化物燃料棒组成,最初由Radkowsky提出。这种配置充分利用了增强安全性、提高效率和更强的抗核扩散能力等优点。本研究中引入的一项创新是在单个燃料组件中集成了两种不同的几何形状:种子区域的板式元件有利于增加中子泄漏,而包层区域的圆柱形棒则可以最大限度地减少中子泄漏。这种混合几何结构旨在通过加强裂变材料的繁殖,同时控制中子损失,从而优化中子经济性。本研究的主要目的是通过粒子群优化(PSO)作为计算工具来确定最佳设计参数,研究一种新型多几何形状燃料组件(以钍基包层和金属铀种子为特征)的可行性和中子性能。目标是最大限度地在堆芯内增殖U-233,从而延长燃料循环寿命,减少对浓缩铀的依赖,最大限度地减少钚的产生,并降低乏燃料的放射性毒性和衰变热。利用SERPENT 2.1.30蒙特卡罗程序进行了中子模拟。为了将SERPENT与PSO算法结合起来,开发了一个基于python的接口来自动更新输入参数并在预定义的值范围内生成仿真文件。优化过程是成功的,在燃耗循环结束时,与参考配置相比,燃料组件的转换系数提高了25.40%。此外,优化后的组件在超过550个有效全功率日(efpd)的燃耗期内实现了2.08 kg U-233的生产。
Particle swarm optimization of a Small modular reactor fuel assembly design with composed of U-ZR plates and MOX pins, based on Radkowsky concept
This work proposes a fuel assembly design based on the Seed-Blanket Unit (SBU) concept, characterized by two distinct regions: Uranium plates in the central region (seed) to enhance neutron leakage and the surrounding region (blanket) consists of mixed oxide fuel rods composed of thorium and uranium, as originally proposed by Radkowsky. This configuration leverages the advantages of enhanced safety, improved efficiency, and greater resistance to nuclear proliferation. An innovation introduced in this study is the integration of two different geometries within a single fuel assembly: plate-type elements in the seed region—favoring increased neutron leakage—and cylindrical rods in the blanket region—minimizing neutron leakage. This hybrid geometry aims to optimize the neutron economy by enhancing fissile material breeding while controlling neutron losses. The main objective of this research is to investigate the viability and neutronic performance of a novel multigeometry fuel assembly—featuring a thorium-based blanket and a metallic uranium seed—by using Particle Swarm Optimization (PSO) as a computational tool to determine optimal design parameters. The goal is to maximize the in-core breeding of U-233, thereby extending fuel cycle longevity, reducing reliance on enriched uranium, minimizing plutonium generation, and lowering the radiotoxicity and decay heat of spent fuel. Neutronic simulations were carried out using the SERPENT 2.1.30 Monte Carlo code. To couple SERPENT with the PSO algorithm, a Python-based interface was developed to automatically update input parameters and generate simulation files within predefined value ranges. The optimization process was successful, yielding a fuel assembly with a 25.40 % higher conversion factor compared to a reference configuration at the end of the burnup cycle. Additionally, the optimized assembly achieved the production of 2.08 kg of U-233 over a burnup period exceeding 550 effective full-power days (EFPDs).
期刊介绍:
Progress in Nuclear Energy is an international review journal covering all aspects of nuclear science and engineering. In keeping with the maturity of nuclear power, articles on safety, siting and environmental problems are encouraged, as are those associated with economics and fuel management. However, basic physics and engineering will remain an important aspect of the editorial policy. Articles published are either of a review nature or present new material in more depth. They are aimed at researchers and technically-oriented managers working in the nuclear energy field.
Please note the following:
1) PNE seeks high quality research papers which are medium to long in length. Short research papers should be submitted to the journal Annals in Nuclear Energy.
2) PNE reserves the right to reject papers which are based solely on routine application of computer codes used to produce reactor designs or explain existing reactor phenomena. Such papers, although worthy, are best left as laboratory reports whereas Progress in Nuclear Energy seeks papers of originality, which are archival in nature, in the fields of mathematical and experimental nuclear technology, including fission, fusion (blanket physics, radiation damage), safety, materials aspects, economics, etc.
3) Review papers, which may occasionally be invited, are particularly sought by the journal in these fields.