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Volume 35 Issue S2
Feb.  2025
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Liu Zhihong, Zhao Jing, SHi Xiuan, Zhang Ming, Gao Wei, Cai Dechang, Peng Lianghui. Improvement of Characteristic Statistic Algorithm Reloading Optimization Program CSA for Actual Engineering Requirements[J]. Nuclear Power Engineering, 2014, 35(S2): 19-22. doi: 10.13832/j.jnpe.2014.S2.0019
Citation: Liu Zhihong, Zhao Jing, SHi Xiuan, Zhang Ming, Gao Wei, Cai Dechang, Peng Lianghui. Improvement of Characteristic Statistic Algorithm Reloading Optimization Program CSA for Actual Engineering Requirements[J]. Nuclear Power Engineering, 2014, 35(S2): 19-22. doi: 10.13832/j.jnpe.2014.S2.0019

Improvement of Characteristic Statistic Algorithm Reloading Optimization Program CSA for Actual Engineering Requirements

doi: 10.13832/j.jnpe.2014.S2.0019
  • Received Date: 2014-10-27
  • Rev Recd Date: 2015-01-11
  • Available Online: 2025-02-15
  • In order to use the characteristic statistic algorithm fuel management optimization program CSA in the actual nuclear power plant reloading design, the improvement of some special requirements in the practical engineering problems is needed. This paper introduces how to improve the original CSA optimization program for Ling’ao nuclear power plant and the validation results of improved program in the actual nuclear power plant reloading design problems. The problems include a core without burnable poison, a core with burnable poison, and an equilibrium-cycle core reloading design. The final results proved that after the corresponding improvement, the CSA program can be used to do reloading optimization for the actual reactors in the nuclear power plants.

     

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