Improvement of the accuracy of a 3-dimensional simulator of a BWR using a neural network

Y. Kobayashi, E. Aiyoshi

研究成果: Conference contribution

抄録

Boiling water reactors (BWRs) represent a large fraction of the world's installed nuclear power capacity. The core model of a BWR is very complex because it has many fuel assemblies and strong axial heterogeneities such as coolant voiding, partial control rod insertion, and non-uniform fuel assembly design. In order to operate a BWR safely, it is necessary to supervise the performance of the reactor core during the operation cycle. Therefore, the operation of the reactor core in a BWR is supervised using a 3-dimensional on-line simulator. In order to raise the calculation accuracy of this 3-dimensional simulator, the calculation power distribution is corrected using the neutron flux distribution obtained by the in-core instrumentation. In this paper, a model that uses a neural network was developed in order to raise the calculation accuracy of this 3-dimensional simulator further. In order to apply a neural network to the complicated reactor core of a BWR, the learning algorithm needs to be improved. Therefore, a technique using the Quasi-Newton method for renewal of the connection weights of the Back-Propagation (BP) method was developed. Using this algorithm, the convergent ability of neural network learning was improved in the strongly nonlinear problems. When this algorithm was applied to a BWR, the calculation accuracy of a 3-dimensional simulator was improved considerably.

元の言語English
ホスト出版物のタイトルIEEE International Symposium on Industrial Electronics
出版者Institute of Electrical and Electronics Engineers Inc.
ページ294-298
ページ数5
1
ISBN(印刷物)0780373693, 9780780373693
出版物ステータスPublished - 2002
イベント2002 IEEE International Symposium on Industrial Electronics, ISIE 2002 - L'Aquila, Italy
継続期間: 2002 7 82002 7 11

Other

Other2002 IEEE International Symposium on Industrial Electronics, ISIE 2002
Italy
L'Aquila
期間02/7/802/7/11

Fingerprint

Boiling water reactors
Simulators
Neural networks
Reactor cores
Control rods
Neutron flux
Newton-Raphson method
Backpropagation
Nuclear energy
Coolants
Learning algorithms

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

これを引用

Kobayashi, Y., & Aiyoshi, E. (2002). Improvement of the accuracy of a 3-dimensional simulator of a BWR using a neural network. : IEEE International Symposium on Industrial Electronics (巻 1, pp. 294-298). [1026081] Institute of Electrical and Electronics Engineers Inc..

Improvement of the accuracy of a 3-dimensional simulator of a BWR using a neural network. / Kobayashi, Y.; Aiyoshi, E.

IEEE International Symposium on Industrial Electronics. 巻 1 Institute of Electrical and Electronics Engineers Inc., 2002. p. 294-298 1026081.

研究成果: Conference contribution

Kobayashi, Y & Aiyoshi, E 2002, Improvement of the accuracy of a 3-dimensional simulator of a BWR using a neural network. : IEEE International Symposium on Industrial Electronics. 巻. 1, 1026081, Institute of Electrical and Electronics Engineers Inc., pp. 294-298, 2002 IEEE International Symposium on Industrial Electronics, ISIE 2002, L'Aquila, Italy, 02/7/8.
Kobayashi Y, Aiyoshi E. Improvement of the accuracy of a 3-dimensional simulator of a BWR using a neural network. : IEEE International Symposium on Industrial Electronics. 巻 1. Institute of Electrical and Electronics Engineers Inc. 2002. p. 294-298. 1026081
Kobayashi, Y. ; Aiyoshi, E. / Improvement of the accuracy of a 3-dimensional simulator of a BWR using a neural network. IEEE International Symposium on Industrial Electronics. 巻 1 Institute of Electrical and Electronics Engineers Inc., 2002. pp. 294-298
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