Wojciech Żurkowski, P. Sawicki, W. Kubiński, P. Darnowski
{"title":"Application of genetic algorithms in optimization of SFR nuclear reactor design","authors":"Wojciech Żurkowski, P. Sawicki, W. Kubiński, P. Darnowski","doi":"10.2478/nuka-2021-0021","DOIUrl":null,"url":null,"abstract":"Abstract This work presents a demonstrational application of genetic algorithms (GAs) to solve sample optimization problems in the generation IV nuclear reactor core design. The new software was developed implementing novel GAs, and it was applied to show their capabilities by presenting an example solution of two selected problems to check whether GAs can be used successfully in reactor engineering as an optimization tool. The 3600 MWth oxide core, which was based on the OECD/NEA sodium-cooled fast reactor (SFR) benchmark, was used a reference design [1]. The first problem was the optimization of the fuel isotopic inventory in terms of minimizing the volume share of long-lived actinides, while maximizing the effective neutron multiplication factor. The second task was the optimization of the boron shield distribution around the reactor core to minimize the sodium void reactivity effect (SVRE). Neutron transport and fuel depletion simulations were performed using Monte Carlo neutron transport code SERPENT2. The simulation resulted in an optimized fuel mixture composition for the selected parameters, which demonstrates the functionality of the algorithm. The results show the efficiency and universality of GAs in multidimensional optimization problems in nuclear engineering.","PeriodicalId":19467,"journal":{"name":"Nukleonika","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nukleonika","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.2478/nuka-2021-0021","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, INORGANIC & NUCLEAR","Score":null,"Total":0}
引用次数: 2
Abstract
Abstract This work presents a demonstrational application of genetic algorithms (GAs) to solve sample optimization problems in the generation IV nuclear reactor core design. The new software was developed implementing novel GAs, and it was applied to show their capabilities by presenting an example solution of two selected problems to check whether GAs can be used successfully in reactor engineering as an optimization tool. The 3600 MWth oxide core, which was based on the OECD/NEA sodium-cooled fast reactor (SFR) benchmark, was used a reference design [1]. The first problem was the optimization of the fuel isotopic inventory in terms of minimizing the volume share of long-lived actinides, while maximizing the effective neutron multiplication factor. The second task was the optimization of the boron shield distribution around the reactor core to minimize the sodium void reactivity effect (SVRE). Neutron transport and fuel depletion simulations were performed using Monte Carlo neutron transport code SERPENT2. The simulation resulted in an optimized fuel mixture composition for the selected parameters, which demonstrates the functionality of the algorithm. The results show the efficiency and universality of GAs in multidimensional optimization problems in nuclear engineering.
期刊介绍:
"Nukleonika" is an international peer-reviewed, scientific journal publishing original top quality papers on fundamental, experimental, applied and theoretical aspects of nuclear sciences.
The fields of research include:
radiochemistry, radiation measurements, application of radionuclides in various branches of science and technology, chemistry of f-block elements, radiation chemistry, radiation physics, activation analysis, nuclear medicine, radiobiology, radiation safety, nuclear industrial electronics, environmental protection, radioactive wastes, nuclear technologies in material and process engineering, radioisotope diagnostic methods of engineering objects, nuclear physics, nuclear reactors and nuclear power, reactor physics, nuclear safety, fuel cycle, reactor calculations, nuclear chemical engineering, nuclear fusion, plasma physics etc.