Scholarlink

Background <p>Transient xenon processes in the core of VVER-1000 and -1200 water-water power reactors can lead to the occurrence of axial power oscillations. Online forecast of oscillation convergence represents an urgent and currently unresolved task of nuclear power plant operation.</p> Aim <p>To develop and theoretically justify an improved method for the online forecast of xenon oscillations.</p> Materials and methods <p>The data from experiments conducted at the Novovoronezh NPP power unit and computational simulation using the modified Imitator Reaktora software were used.</p> Results and discussion <p>The developed method forecasts axial oscillations with an error of no more than 18%. In addition to the acceptable level of deviations, the reliability of the online forecast is significantly increased by taking into account damping of axial oscillations. The analytical and computational justification of the method is presented; results of comparison between the forecast with experimental data are provided.</p> Conclusion <p>An improved method for the online forecast of oscillations taking into account convergence is integrated into the Imitator Reaktora software for use at nuclear power plants.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Online convergence forecast for axial xenon oscillations of the power density in VVER-1000 and -1200 reactors

  • 期刊论文

  • 发表日期：

    2025年1月1日

查看全文
  • V. R. Kripak,
  • G. A. Tiunov,
  • P. E. Filimonov

摘要

Background

Transient xenon processes in the core of VVER-1000 and -1200 water-water power reactors can lead to the occurrence of axial power oscillations. Online forecast of oscillation convergence represents an urgent and currently unresolved task of nuclear power plant operation.

Aim

To develop and theoretically justify an improved method for the online forecast of xenon oscillations.

Materials and methods

The data from experiments conducted at the Novovoronezh NPP power unit and computational simulation using the modified Imitator Reaktora software were used.

Results and discussion

The developed method forecasts axial oscillations with an error of no more than 18%. In addition to the acceptable level of deviations, the reliability of the online forecast is significantly increased by taking into account damping of axial oscillations. The analytical and computational justification of the method is presented; results of comparison between the forecast with experimental data are provided.

Conclusion

An improved method for the online forecast of oscillations taking into account convergence is integrated into the Imitator Reaktora software for use at nuclear power plants.