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Quantifying the effects of depletion parameters on the PWR spent fuel reactivity based on nuclide sensitivity coefficients

机译:基于核素敏感性系数,对耗尽参数对压水堆乏燃料反应性的影响进行量化

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This study employs nuclide sensitivity coefficients to investigate the spent fuel reactivity of pressurized water reactors (PWRs) in terms of differences in predicted inventories under various depletion conditions. Considering a representative PWR spent fuel, the study began by selecting the top 20 nuclides of large macroscopic neutron absorption cross sections, which are expected to have a substantial effect on reactivity. The sensitivity coefficients (Delta k(infinity)/Delta N-i) of each nuclide were first evaluated at various burnups and cooling times using MCNPX. These coefficients were used to facilitate a detailed analysis of the spent fuel reactivity and to identify which nuclides cause the effect in a quantitative manner. The approach was demonstrated by analyzing the effects on spent fuel reactivity of several depletion parameters, including the initial enrichment, specific power, operating history, boron concentration, fuel temperature, moderator temperature, control rod effect, and axial burnup profile. The results were generally in good agreement with those obtained from direct MCNPX criticality calculations. Two major advantages of this approach are: (1) the changes in spent fuel reactivity with various depletion parameters can be closely related to composition changes; and (2) it provides a quantitative estimate of the contribution of each nuclide to the reactivity effect based on the predicted inventory differences. (C) 2015 Elsevier Ltd. All rights reserved.
机译:这项研究使用核素敏感性系数来研究压水堆(PWR)的乏燃料反应性,其依据是各种消耗条件下预计库存的差异。考虑到代表性的压水堆乏燃料,该研究首先选择了宏观中子吸收截面大的前20个核素,这些核素预计会对反应性产生重大影响。首先使用MCNPX在各种燃耗和冷却时间下评估每种核素的灵敏度系数(Δk(无穷大)/ΔN-i)。这些系数用于促进对乏燃料反应性的详细分析,并以定量的方式确定引起核反应的核素。通过分析几个消耗参数对乏燃料反应性的影响来证明该方法,这些参数包括初始浓缩,比功率,运行历史,硼浓度,燃料温度,调节剂温度,控制棒效应和轴向燃尽曲线。结果通常与从直接MCNPX临界度计算获得的结果吻合良好。这种方法的两个主要优点是:(1)乏燃料反应性随各种耗竭参数的变化可能与成分变化密切相关; (2)根据预测的库存差异,对每种核素对反应活性的贡献进行定量估计。 (C)2015 Elsevier Ltd.保留所有权利。

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