Multi-objective optimal design of the nuclear reactor pressurizer

被引：0

作者：

Liu, Zheng ^{[1
]}

Wang, Jianjun ^{[1
]}

Tan, Sichao ^{[1
]}

Qiao, Shouxu ^{[1
]}

Ding, Hu ^{[2
]}

机构：

[1] Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin,150001, China

[2] Shanghai Marine Equipment Research Institute, Shanghai,200031, China

来源：

International Journal of Advanced Nuclear Reactor Design and Technology | 2019年 / 1卷

关键词：

Genetic algorithms - Nuclear energy - Nuclear fuels - Nuclear power plants - Nuclear reactors - Optimal systems;

D O I：

10.1016/j.jandt.2019.09.001

中图分类号：

学科分类号：

摘要：

The Pressurizer (PRZ) is an important device used to control the system pressure in nuclear power plants (NPP). The weight and volume of the PRZ are important factors affecting the weight and layout of nuclear power plants. Reducing the weight and volume of the PRZ while satisfying the demand has important theoretical and practical significance for the design and operation of NPP. In this work, an improved non-dominated sorting genetic algorithm, INSGAII, is proposed adopting several improvement strategies. Comparing to the NSGAII, the improved algorithm INSGAII has shown great performance. The INSGAII is devoted to the optimal design of the Pressurizer aiming at reducing its weight and volume. Mathematical modeling of the PRZ of the Qinshan nuclear power plant phase II was established. The weight and volume of the PRZ is optimized with the proposed algorithm INSGAII. The results show that the volume and weight of the optimized PRZ are reduced at least 6.11% and 15.06%, respectively, as compared to the prototype PRZ. © 2019 Xi'an Jiaotong University

引用

页码：1 / 9

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