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Optimization of the loading pattern of the PWR core using genetic algorithms and multi-purpose fitness function Cover

Optimization of the loading pattern of the PWR core using genetic algorithms and multi-purpose fitness function

Nukleonika
Volume 66 (2021): Issue 4 (December 2021)
By: Wojciech Kubiński,  Piotr Darnowski and  Kamil Chęć  
Open Access
|Nov 2021

Figures & Tables

Fig. 1

Chromosome representing 1/4 of the optimized core.

Fig. 2

The BEAVRS core loading pattern for Cycle 1 (based on [12]).

Fig. 3

Relative change of FF over generations for cases 1 and 2.

Fig. 4

BEAVRS core configuration (a), and optimal configurations obtained for Case 1 (b) and Case 2 (c).

Fig. 5

Radial power distribution (normalized to average) at the BOC and the EOC for the BEAVRS core (a, d), Case 1 core (b, e) and Case 2 core (c, f).

The maximal Pxy values for the BEAVRS core, Case 1 and Case 2 for BOC and EOC

BEAVRSCase 1Case 2
Pxymax BOC1.331.261.34
Pxymax EOC1.211.261.17

Characteristics of the obtained configurations and the BEAVRS core

Average enrichment (%)No. of BA rodsInitial keffPPFmaxCycle length (days)
BEAVRS2.3612681.081.88333.6
Case 12.7613921.131.82451.7
Case 22.7813561.131.89512.5
DOI: https://doi.org/10.2478/nuka-2021-0022 | Journal eISSN: 1508-5791 | Journal ISSN: 0029-5922
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Language: English
Page range: 147 - 151
Submitted on: Jan 18, 2021
|
Accepted on: Feb 7, 2021
|
Published on: Nov 25, 2021
Published by: Institute of Nuclear Chemistry and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Genetic algorithms,
Fuel loading,
Loading optimization,
PWR,
Nuclear reactor technology
Related subjects:
Chemistry,
Nuclear chemistry,
Physics,
Astronomy and astrophysics,
Physics, other

© 2021 Wojciech Kubiński, Piotr Darnowski, Kamil Chęć, published by Institute of Nuclear Chemistry and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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