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An enhanced adaptation method for core monitoring systems

机译:一种增强核心监测系统的适应方法

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Current core monitoring systems for PWRs are based on online 3D calculations simulating the main physical phenomena. These calculations are affected by inaccuracies due to several causes: uncertainties in the knowledge of the reactor operating point (e.g. control bank positions, inlet water temperature), deviations between the design specifications and the built reactor, etc. These inaccuracies cause deviations between the predicted and measured neutron flux distribution, which can be reduced with an adaptation of the neutronic model to the measurements. As so, an adaptation method was conceived by Framatome. This paper presents the latest enhancements, which make the predictions of the model more reliable. With this adaptation, the computed flux is in good agreement with the incore detectors' response. The method is based on an equivalence procedure which allows determining an adaptation parameter, called pseudo-buckling, acting on the data of the model. Comparisons with experimental data have been performed and show the good method's efficiency. (C) 2021 Elsevier Ltd. All rights reserved.
机译:PWR的当前核心监测系统基于模拟主要物理现象的在线3D计算。这些计算因若干原因而受到不准确的影响:反应堆操作点(例如控制体位,入口水温),设计规格与内置反应器之间的偏差等的不确定性。这些不准确性导致预测之间的偏差和测量的中子磁通量分布,可以通过将中性模型改编为测量来减少。因此,通过粉碎机构思适应方法。本文介绍了最新的增强功能,这使得模型更可靠的模型。通过这种适配,计算的通量与进口探测器的响应很好。该方法基于等效过程,其允许确定调整参数,称为伪屈曲,作用于模型的数据。已经进行了实验数据的比较并显示了良好的方法的效率。 (c)2021 elestvier有限公司保留所有权利。

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