PWR fuel management optimization using neural networks

Sadighi, M ; Sharif University of Technology | 2002

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  1. Type of Document: Article
  2. DOI: 10.1016/S0306-4549(01)00024-X
  3. Publisher: 2002
  4. Abstract:
  5. This paper presents a new method to solve the problem of finding the best configuration of fuel assemblies in a pressurized water reactor (PWR) core. Finding the optimum solution requires a huge amount of calculations in classical methods. It has been shown that the application of continuous Hopfield neural network accompanied by simulated annealing method to this problem not only reduces the amount of calculations, but also guarantees finding the best solution. In this study flattening of neutron flux inside the reactor core of Bushehr NPP is considered as the objective function. The result is the optimum configuration which is in agreement with the pattern proposed by the designer. © 2001 Elsevier Science Ltd. All rights reserved
  6. Keywords:
  7. Neural networks ; Simulated annealing ; Optimization ; Nuclear fuels
  8. Source: Annals of Nuclear Energy ; Volume 29, Issue 1 , 2002 , Pages 41-51 ; 03064549 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S030645490100024X