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首页> 外文期刊>Annals of nuclear energy >Quantification and mechanism analysis of the k_()inf) uncertainty propagated from nuclear data for the TRISO particle fuel pebble
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Quantification and mechanism analysis of the k_()inf) uncertainty propagated from nuclear data for the TRISO particle fuel pebble

机译：从TRISO颗粒燃料卵石的核数据传播的k _（）inf）不确定性的量化和机理分析

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摘要

To give a more clear picture of uncertainty propagation and quantification in the pebble bed high temperature reactor (HTR), an explicit fuel pebble model with regular lattice model of TRISO particles was built in the SCALE 6.2.1 code system to quantify the uncertainty of the infinite multiplication factor propagated from nuclear data. Based on this lattice model, a "step-by-step comparison scheme" was designed to fully understand the mechanism of the contributions of nuclear data to the total uncertainty of the infinite multiplication factor. Then the contribution difference arose from uranium loading, enrichment, temperature, material composition, position in a realistic reactor and covariance library was quantified. Some valuable observations were further drawn from the mechanism analysis. Numerical results show that the average number of neutrons emitted per fission event of U-235 is the most significant contributors to the total uncertainty. Same as the light water reactor, increasing temperature leads to a decreasing multiplication factor but an increasing uncertainty. Especially that (PU)-P-239 will play a more and more important role to total uncertainty, and also the contribution of Xe-135 is also not negligible, when the depletion is considered. For the realistic reactor core, the position of fuel pebble in the core not only has a significant effect on the multiplication factor and spectrum, but also on the uncertainty propagation. Finally, the difference derives from libraries is also not to be ignored. (C) 2018 Elsevier Ltd. All rights reserved.
机译：为了更清楚地了解卵石床高温反应器（HTR）中的不确定性传播和量化，在SCALE 6.2.1代码系统中建立了带有TRISO颗粒规则晶格模型的显式燃料卵石模型，以量化不确定性。从核数据传播的无限倍数因子。基于此晶格模型，设计了“逐步比较方案”，以充分理解核数据对无穷倍增因子的总不确定性的贡献机理。然后，由铀负载，富集，温度，材料组成，实际反应堆中的位置和协方差库引起的贡献差异被量化。从机理分析中可以进一步得出一些有价值的发现。数值结果表明，U-235每次裂变事件发射的中子平均数量是总不确定度的最重要因素。与轻水反应堆相同，温度升高导致乘法因子降低，但不确定性增大。尤其是（PU）-P-239在总不确定性中将扮演越来越重要的角色，考虑到损耗，Xe-135的贡献也不可忽略。对于实际的反应堆堆芯，燃料小石在堆芯中的位置不仅对倍增系数和频谱有很大影响，而且对不确定性的传播也有很大的影响。最后，来自库的差异也不容忽视。 （C）2018 Elsevier Ltd.保留所有权利。

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  • 来源
    《Annals of nuclear energy》 |2019年第5期|248-256|共9页
  • 作者

    Hao Chen; Cheng Youying; Teng Qichen;

  • 作者单位

    Harbin Engn Univ, Coll Nucl Sci & Technol, Fundamental Sci Nucl Safety & Simulat Technol Lab, Harbin, Heilongjiang, Peoples R China|Univ Michigan, Dept Nucl Engn & Radiol Sci, Ann Arbor, MI 48109 USA;

    Harbin Engn Univ, Coll Nucl Sci & Technol, Fundamental Sci Nucl Safety & Simulat Technol Lab, Harbin, Heilongjiang, Peoples R China;

    Harbin Engn Univ, Coll Nucl Sci & Technol, Fundamental Sci Nucl Safety & Simulat Technol Lab, Harbin, Heilongjiang, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Pebble bed HTR; TRISO particle fuel pebble; Eigenvalue; Uncertainty; Nuclear data;

    机译：卵石床HTR;TRISO颗粒燃料卵石;特征值;不确定度;核数据;

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