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Effects of random pebble distribution on the multiplication factor in HTR pebble bed reactors

机译:随机卵石分布对HTR卵石床反应器中增殖因子的影响

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摘要

In pebble bed reactors the pebbles have a random distribution within the core. The usual approach in modeling the bed is homogenizing the entire bed. To quantify the errors arising in such a model, this article investigates the effect on k_(eff) of three phenomena in random pebble distributions: non-uniform packing density, neutron streaming in between the pebbles, and variations in Dancoff factor. For a 100 cm high cylinder with reflective top and bottom boundary conditions 25 pebble beds were generated. Of each bed three core models were made: a homogeneous model, a zones model including density fluctuations, and an exact model with all pebbles modeled individually. The same was done for a model of the PROTEUS facility. k_(eff) calculations were performed with three codes: Monte Carlo, diffusion, and finite element transport. By comparing k_(eff) of the homogenized and zones model the effect of including density fluctuations in the pebble bed was found to increase k_(eff) by 71 pcm for the infinite cylinder and 649 pcm for PROTEUS. The large value for PROTEUS is due to the low packing fraction near the top of the pebble bed, causing a significant lower packing fraction for the bulk of the pebble bed in the homogenized model. The effect of neutron streaming was calculated by comparing the zones model with the exact model, and was found to decrease k_(eff) by 606 pcm for the infinite cylinder, and by 1240 pcm for PROTEUS. This was compared with the effect of using a streaming correction factor on the diffusion coefficient in the zones model, which resulted in △_(streaming) values of 340 and 1085 pcm. From this we conclude neutron streaming is an important effect in pebble bed reactors, and is not accurately described by the correction factor on the diffusion coefficient. Changing the Dancoff factor in the outer part of the pebble bed to compensate for the lower probability of neutrons to enter other fuel pebbles caused no significant changes in k_(eff), showing that variations in Dancoff factor in pebble bed reactors can be ignored.
机译:在卵石床反应器中,卵石在堆芯内具有随机分布。床层建模的常用方法是使整个床层均匀。为了量化在这种模型中产生的误差,本文研究了随机卵石分布中三种现象对k_(eff)的影响:非均匀堆积密度,卵石之间的中子流以及Dancoff因子的变化。对于具有反射性顶部和底部边界条件的100 cm高的圆柱体,生成了25个卵石床。在每张床中,制作了三个核心模型:均质模型,包括密度波动的区域模型,以及所有卵石分别建模的精确模型。对PROTEUS设备的模型也进行了同样的操作。 k_(eff)计算使用以下三个代码执行:蒙特卡洛,扩散和有限元传输。通过比较均质化模型和区域模型的k_(eff),发现在卵石床中包括密度波动的影响对于无限大的圆柱体和对于PROTEUS而言,将k_(eff)增加71 pcm,增加649 pcm。 PROTEUS的较大值是由于在卵石床顶部附近的填充率较低,导致在均质化模型中大部分卵石床的填充率明显较低。通过将区域模型与精确模型进行比较,计算出中子流的影响,发现无限圆柱体的k_(eff)降低606 pcm,PROTEUS降低k_(eff)1240 pcm。将此结果与在区域模型中使用流校正因子对扩散系数的效果进行了比较,得出的△_(流)值为340和1085 pcm。据此我们得出结论,中子流在卵石床反应堆中是重要的作用,并且不能通过扩散系数的校正因子来准确描述。改变卵石床外部的Dancoff因子以补偿中子进入​​其他燃料卵石的可能性降低,不会引起k_(eff)的显着变化,这表明卵石床反应堆中Dancoff因子的变化可以忽略。

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  • 来源
    《Annals of nuclear energy》 |2010年第8期|P.1056-1066|共11页
  • 作者单位

    Department of Physics of Nuclear Reactors at the Delft University of Technology, Mekelweg 15, Delft, The Netherlands;

    rnDepartment of Physics of Nuclear Reactors at the Delft University of Technology, Mekelweg 15, Delft, The Netherlands;

    rnDepartment of Physics of Nuclear Reactors at the Delft University of Technology, Mekelweg 15, Delft, The Netherlands;

    rnDepartment of Physics of Nuclear Reactors at the Delft University of Technology, Mekelweg 15, Delft, The Netherlands;

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

    HTR; pebble bed; neutron streaming; PROTEUS;

    机译:HTR;卵石床中子流;蛋白质;

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