{"title":"利用回溯搜索算法对压水堆堆芯装载模式进行多目标优化","authors":"","doi":"10.1016/j.anucene.2024.110843","DOIUrl":null,"url":null,"abstract":"<div><p>In this study, the core loading pattern of the initial core configuration of a typical Pressurized Water Reactor has been optimized through the Backtracking Search Algorithm (BSA). The multi-objective fitness function is based on a trade-off between minimization of the power peaking factor (ppf) and maximization of the cycle multiplication factor (k<sub>eff</sub>) simultaneously. Neutronic computations are performed using the PSU-LEOPARD (Pennsylvania State University-Lifetime Evaluating Operations Pertinent to the Analysis of Reactor Design) and MCRAC (Multiple Cycle Reactor Analysis Code) codes. The PSU-LEOPARD generated assembly data have been fed to MCRAC and it calculates normalized power profiles for all fuel assemblies with a specific loading pattern. The BSA generates best loading patterns by optimizing the multi-objective function. The implementation of the BSA scheme resulted in slight enhancements in the first cycle length (∼10.1 %). The BSA demonstrates rapid convergence, high efficiency and robustness for the core loading pattern optimization problem.</p></div>","PeriodicalId":8006,"journal":{"name":"Annals of Nuclear Energy","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-objective optimization of a PWR core loading pattern by backtracking search algorithm\",\"authors\":\"\",\"doi\":\"10.1016/j.anucene.2024.110843\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this study, the core loading pattern of the initial core configuration of a typical Pressurized Water Reactor has been optimized through the Backtracking Search Algorithm (BSA). The multi-objective fitness function is based on a trade-off between minimization of the power peaking factor (ppf) and maximization of the cycle multiplication factor (k<sub>eff</sub>) simultaneously. Neutronic computations are performed using the PSU-LEOPARD (Pennsylvania State University-Lifetime Evaluating Operations Pertinent to the Analysis of Reactor Design) and MCRAC (Multiple Cycle Reactor Analysis Code) codes. The PSU-LEOPARD generated assembly data have been fed to MCRAC and it calculates normalized power profiles for all fuel assemblies with a specific loading pattern. The BSA generates best loading patterns by optimizing the multi-objective function. The implementation of the BSA scheme resulted in slight enhancements in the first cycle length (∼10.1 %). The BSA demonstrates rapid convergence, high efficiency and robustness for the core loading pattern optimization problem.</p></div>\",\"PeriodicalId\":8006,\"journal\":{\"name\":\"Annals of Nuclear Energy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-08-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Nuclear Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0306454924005061\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NUCLEAR SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Nuclear Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306454924005061","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Multi-objective optimization of a PWR core loading pattern by backtracking search algorithm
In this study, the core loading pattern of the initial core configuration of a typical Pressurized Water Reactor has been optimized through the Backtracking Search Algorithm (BSA). The multi-objective fitness function is based on a trade-off between minimization of the power peaking factor (ppf) and maximization of the cycle multiplication factor (keff) simultaneously. Neutronic computations are performed using the PSU-LEOPARD (Pennsylvania State University-Lifetime Evaluating Operations Pertinent to the Analysis of Reactor Design) and MCRAC (Multiple Cycle Reactor Analysis Code) codes. The PSU-LEOPARD generated assembly data have been fed to MCRAC and it calculates normalized power profiles for all fuel assemblies with a specific loading pattern. The BSA generates best loading patterns by optimizing the multi-objective function. The implementation of the BSA scheme resulted in slight enhancements in the first cycle length (∼10.1 %). The BSA demonstrates rapid convergence, high efficiency and robustness for the core loading pattern optimization problem.
期刊介绍:
Annals of Nuclear Energy provides an international medium for the communication of original research, ideas and developments in all areas of the field of nuclear energy science and technology. Its scope embraces nuclear fuel reserves, fuel cycles and cost, materials, processing, system and component technology (fission only), design and optimization, direct conversion of nuclear energy sources, environmental control, reactor physics, heat transfer and fluid dynamics, structural analysis, fuel management, future developments, nuclear fuel and safety, nuclear aerosol, neutron physics, computer technology (both software and hardware), risk assessment, radioactive waste disposal and reactor thermal hydraulics. Papers submitted to Annals need to demonstrate a clear link to nuclear power generation/nuclear engineering. Papers which deal with pure nuclear physics, pure health physics, imaging, or attenuation and shielding properties of concretes and various geological materials are not within the scope of the journal. Also, papers that deal with policy or economics are not within the scope of the journal.