...
首页> 外文期刊>Journal of nuclear engineering and radiation science >SMR Fuel Cycle Optimization Using LWROpt
【24h】

SMR Fuel Cycle Optimization Using LWROpt

机译:使用 LWROpt 优化 SMR 燃料循环

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This article describes the light water reactor optimizer (LWROpt), a fuel cycle optimization code originally developed for BWRs, which has been adapted to perform core fuel reload and/or operational control rod management for pressurized water reactors (PWRs) and small modular reactors (SMRs), as well. Additionally, the eighth-core symmetric shuffle option is introduced to help expedite large-scale optimizations. These new features of the optimizer are tested by performing optimizations starting from a base case of an SMR core model that was developed manually and unrodded. The new fuel inventory (NFI) and loading pattern (LP) search in LWROpt was able to eliminate all of the constraint violations present in the initial base solution. However, independent control rod pattern (CRP) searches for the best several LPs found were not successful in generating CRPs without any constraint violations. This indicates that fully decoupling the fuel loading from the CRP optimization can increase the computational tractability of these calculations but at the expense of effectiveness. To improve on the individual search results, a coupled fuel loading (NFI and LP) and CRP search was performed, which produced a better overall result but still with some small constraint violations, emphasizing the fact that optimizing the fuel loading arrangement in a small high-leakage unborated core while concurrently determining its operational rod patterns for a 4-year operational cycle is no easy feat even to an experienced core designer; thus, this process can be greatly aided by employing automated combinatorial optimization tools.
机译:本文介绍了轻水反应堆优化器 (LWROpt),这是一种最初为 BWR 开发的燃料循环优化代码,它已适用于执行压水反应堆 (PWR) 和小型模块化反应堆 (SMR) 的核心燃料重新加载和/或运行控制棒管理。此外,还引入了第八核对称随机播放选项,以帮助加快大规模优化。优化器的这些新功能是通过从手动开发的 SMR 核心模型的基本情况开始执行优化来测试的。LWROpt 中的新燃料库存 (NFI) 和装载模式 (LP) 搜索能够消除初始基础解决方案中存在的所有约束冲突。然而,独立控制杆模式 (CRP) 搜索找到的最佳几个 LP 并未成功生成没有任何约束冲突的 CRP。这表明,将燃料负载与 CRP 优化完全解耦可以提高这些计算的计算可处理性,但会以牺牲有效性为代价。为了改进单个搜索结果,进行了耦合燃料装载(NFI 和 LP)和 CRP 搜索,产生了更好的整体结果,但仍存在一些小的约束违规,强调优化小型高泄漏无硒化堆芯中的燃料装载布置,同时确定其 4 年运行周期的运行杆模式,即使对于经验丰富的岩心设计人员来说也不是一件容易的事;因此,通过采用自动组合优化工具可以极大地帮助这一过程。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号