Genetic Algorithm Application for Burnable Poison Placement in PWRs with Optimized UO2/Gd2O3 Fuel Pin Configurations
| Autor: | Kostadin Ivanov, Samuel H. Levine, Moussa Mahgerefteh, Serkan Yilmaz |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Nuclear and High Energy Physics
Materials science Nuclear fuel 020209 energy Nuclear engineering Uranium dioxide 02 engineering and technology Nuclear reactor Condensed Matter Physics Residual law.invention Reduction (complexity) chemistry.chemical_compound 020303 mechanical engineering & transports 0203 mechanical engineering Nuclear Energy and Engineering Nuclear reactor core chemistry Filter (video) law Genetic algorithm 0202 electrical engineering electronic engineering information engineering Nuclear chemistry |
| Zdroj: | Nuclear Technology. 156:180-190 |
| ISSN: | 1943-7471 0029-5450 |
| DOI: | 10.13182/nt06-a3784 |
| Popis: | In this paper, an efficient genetic algorithm has placed burnable poisons (BPs) into all of the fresh fuel positions in the core employing the optimized BP configurations and techniques developed in two previous papers. Of importance was the previous development of a K inf filter, which greatly reduced the computational time. The K inf filter eliminated many of the invalid genotypes/phenotypes before making a precise core depletion analysis. An extensive BP library was generated by the CASMO-4/ TABLES-3 codes. The process was automated with a user-friendly program developed for this purpose. The BPs were vendor UO 2 /Gd 2 O 3 fuel assembly designs used in a reference Three Mile Island Unit 1 core. The optimized UO2/Gd 2 O 3 fuel pin configurations have small residual binding at end of cycle (EOC), and BP loading optimization results with 97.2 ppm soluble boron at EOC while it was 94.4 ppm with the available vendor designs. The result was that optimized UO 2 /Gd 2 O 3 fuel pin configurations were developed with unique self-shielding properties and residual binding that also provided a 6.89% reduction in the total required Gd amount, providing extra savings in fuel cost. |
| Databáze: | OpenAIRE |
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