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Physics-based three-dimensional multi-directional reloading algorithm for deep burn HTR prismatic block systems.

机译:深度燃烧HTR棱镜块系统基于物理的三维多方向重新加载算法。

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摘要

To assure nuclear power sustainability, ongoing efforts on advanced closed-fuel cycle options and adapted open cycles have led to investigations of various strategies involving utilization of Transuranic (TRU) nuclides in nuclear reactors. Due to favorable performance characteristics, multiple studies are focused on transmutation options using High Temperature Gas-cooled Reactors (HTGRs). Prismatic HTGRs allow for 3-Dimensional (3D) fuel shuffling and prior shuffling algorithms were based on experimental block movement and/or manual block shuffle patterns. In this dissertation, a physics based 3D multi-directional reloading algorithm for prismatic deep burn very high temperature reactors (DB-VHTRs) was developed and tested to meet DB-VHTR operation constraints utilizing a high fidelity neutronics model developed for this dissertation. The high fidelity automated neutronics model allows design flexibility and metric tracking in spatial and temporal dimensions. Reduction of TRUs in DB-VHTRs utilizing full vectors of TRUs from light water reactor spent nuclear fuel has been demonstrated for both a single and two-fuel composition cores. Performance of the beginning-of-life and end-of-life (EOL) domains for multi-dimensional permutations were evaluated. Utilizing a two-fuel assembly permutation within the two-fuel system domain for a Single-Fuel vector, the developed shuffling algorithm for this dissertation has successfully been tested to meet performance objectives and operation constraints.
机译:为了确保核电的可持续性,对先进的封闭燃料循环方案和适应性开放循环的持续努力导致对涉及在核反应堆中利用超铀(TRU)核素的各种策略进行了研究。由于良好的性能特点,多项研究集中在使用高温气冷堆(HTGR)的trans变方案上。棱柱形HTGR允许进行3维(3D)燃料改组,并且先前的改组算法基于实验块移动和/或手动块改组模式。本文针对棱镜深烧超高温反应堆(DB-VHTRs),开发了一种基于物理的3D多方向重载算法,并利用为该论文开发的高保真中子学模型满足DB-VHTR的运行约束条件进行了测试。高保真自动化中子学模型可以在空间和时间维度上实现设计灵活性和度量跟踪。对于单燃料和两种燃料的堆芯,已经证明了利用轻水反应堆乏核燃料中TRU的全部向量来减少DB-VHTR中的TRU。评估了多维排列的生命起点和生命终点(EOL)域的性能。利用单燃料矢量在双燃料系统域内的双燃料组合排列,针对该论文开发的改组算法已经成功进行了测试,以满足性能目标和操作约束。

著录项

  • 作者

    Lewis, Tom Goslee, III.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Engineering Nuclear.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 141 p.
  • 总页数 141
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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