压水堆堆芯运行期间衰变功率的缓发释放计算方法

Calculation Method for Delayed Release of Decay Power in Operating Pressurized Water Reactor Core

  • 摘要: 衰变功率是堆芯运行功率的重要组成部分,约占总功率的6%,在分钟时间尺度的变功率过程中会显著影响堆芯状态。然而,现有技术仅对停堆后的衰变热采用缓发释放模型,对于运行过程中的衰变功率主要采用瞬发释放假设。为解决该问题,本文基于西安交通大学自主研发的压水堆堆芯物理分析程序NECP-Bamboo,提出了压水堆堆芯运行期间衰变功率的缓发释放计算方法。首先研制了自主化的衰变热参数库,再在组件计算程序中重构不含衰变热的裂变能量释放截面,生成主要裂变核素的衰变热计算参数并制作成少群常数库,最后在堆芯计算程序中在线计算衰变热先驱核含量及其衰变热释放量。经验证,自主研制的衰变热参数库与ANS标准库的计算结果吻合,最大相对偏差小于0.7%;在10 min量级尺度的功率调节过程中,瞬发释放模型对堆芯平均中子通量密度的最大相对偏差达到−8.2%,组件尺度三维功率分布最大相对偏差为10.15%。本文提出的缓发释放计算方法能够更准确地反映堆芯中子通量密度与功率分布的实际变化,具备对堆芯动态控制过程的精细化表征能力,尤其对局部剧烈波动的场景具有更优的功率跟踪能力。

     

    Abstract: The accurate modelling of decay power release characteristics during pressurized water reactor (PWR) core operation represents a critical challenge for nuclear safety analysis and power regulation. Decay power constitutes a substantial element of core operating power, accounting for approximately 6% of the total power output and exhibiting an average half-life of approximately 10 minutes, which introduces significant time-dependent behavior during transient operations. Current reactor physics analysis methodologies predominantly neglect this temporal characteristic during operational periods, employing prompt release assumptions that merge decay energy release with instantaneous fission energy, while reserving delayed release models exclusively for post-shutdown scenarios. This limitation becomes particularly problematic during minute-level timescale power transients where decay power dynamics substantially influence core neutron flux distribution and power profiles. To address this technological gap, a comprehensive computational methodology for delayed release calculation of decay power during PWR core operation was developed in this paper. This methodology was integrated into NECP-Bamboo, a core physics analysis software independently developed by Xi’an Jiaotong University, primarily through modifications to the component calculation module Bamboo-Lattice and the core calculation module Bamboo-Core. The library of autonomous decay heat parameters was established through systematic processing of nuclear data, which results in the identification of eight key fission product nuclides (SFP group: 110Ag, 134Cs, 136Cs, 147Pm, 148Pmm, 154Eu, 156Eu, 160Tb) for individual treatment, while the remaining fission products were grouped into ten representative decay heat precursor categories. Within the Bamboo-Lattice module, the fission energy release cross-sections were reconstructed in such a manner as to exclude decay heat contributions, thereby generating modified few-group constants that serve to separate prompt fission energy from delayed decay components. The Bamboo-Core module subsequently implemented online calculation of decay heat precursor concentrations and their corresponding energy release through coupling with neutron diffusion equations and burnup calculations. Validation against the ANSI/ANS-5.1-2005 standard library demonstrates excellent agreement, with maximum relative deviations maintained below 0.7% across various burnup conditions. Two representative AP1000 power reduction cases reveal significant impacts of the delayed release model. During rapid 10 minute power adjustments, the conventional prompt release assumption introduces maximum relative deviations of −8.2% in core-average neutron flux and 10.15% in assembly-scale three-dimensional power distribution. The developed method demonstrates superior accuracy in capturing transient core behavior, particularly during localized intense power fluctuations where decay heat dynamics dominate short-term responses. This enhanced modeling capability provides critical support for minute-level reactor control strategies, load-following operations, and safety margin assessments. Future improvements will focus on expanding the precursor database for long-cycle accuracy and incorporating experimental validation data to quantify model uncertainties. The methodology establishes a foundation for next-generation reactor physics analysis with enhanced temporal resolution for dynamic operational scenarios.

     

/

返回文章
返回