Application of genetic algorithms in optimization of SFR nuclear reactor design

• Autorzy: Żurkowski Wojciech , Sawicki Piotr , Kubiński Wojciech , Darnowski Piotr

Identyfikatory

DOI

10.2478/nuka-2021-0021

• Konferencja: International Conference on Development and Applications of Nuclear Technologies NUTECH-2020 (04–07.10.2020; Warsaw, Poland)
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

genetic algorithms; nuclear reactor; optimization; sodium-cooled fast reactor

• Wydawca: Institute of Nuclear Chemistry and Technology
• Czasopismo: Nukleonika
• Rocznik: 2021
• Tom: Vol. 66, No. 4
• Strony: 139--145
• Opis fizyczny: Bibligr. 24 poz., rys.

Twórcy

autor

Żurkowski Wojciech

• Warsaw University of Technology Faculty of Physics Koszykowa 75 Str., 00-665, Warsaw, Poland

autor

Sawicki Piotr

• Warsaw University of Technology Faculty of Physics Koszykowa 75 Str., 00-665, Warsaw, Poland

autor

Kubiński Wojciech

• National Centre for Nuclear Research Andrzeja Sołtana 7 Str., 05-400 Otwock-Świerk, Poland

• https://orcid.org/0000-0002-5805-367X

autor

Darnowski Piotr

• Warsaw University of Technology Institute of Heat Engineering Nowowiejska 21/25 Str., 00-665, Warsaw, Poland

• https://orcid.org/0000-0003-1602-5379

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).