BOA CIPS/CILC分析中硼反馈在中子模型中的应用

Jesse S. Fisher, Gary Mangham, Christopher Briggs, Guoqiang Wang, Baocheng Zhang
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引用次数: 1

摘要

本文综述了某型压水堆(PWR)发生的渣油诱发功率漂移(CIPS)现象的多物理场评估代码系统的开发。CIPS是反应堆堆芯轴向功率分布的意外变化,是由大功率燃料组件中沉积的硼化合物引起的。与之前的耦合代码相比,该方法具有更强的鲁棒性,可以在基于BOA生成的CIPS结果的中子模型中解释节点水平上的硼沉积。本文用Python脚本包装器描述了围绕多物理场代码系统ANC9/FUELDUTYDRV/VIPRE-W/BOA的更新链接。然后,多物理场代码系统可以评估由于硼沉积在原油中的堆芯功率分布的变化,以便与测量的工厂循环通量痕量数据进行比较。植物通量跟踪数据为减少CIPS分析中的BOA保守性和将多物理场基准化到植物特定源项和工厂操作提供了额外的丰富信息。代码系统与应用结果的联系将成为未来开发的基础,以改善工厂的CIPS/原油诱导局部腐蚀(CILC)风险,通过更高的负载堆芯或提高燃料经济性,实现更积极的燃料管理的潜在好处。
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Application of Boron Feedback From BOA CIPS/CILC Analysis on Neutronic Models
This paper summarizes the development of a multi-physics code system for evaluation of Crud Induced Power Shift (CIPS) phenomenon experienced in some Pressurized Water Reactors (PWR). CIPS is an unexpected change in reactor core axial power distribution, caused by boron compounds in crud deposited in the high-power fuel assemblies undergoing subcooled boiling. The approach includes a more robust method compared to previous attempts at coupling codes to account for boron deposition at the nodal level within the neutronic model based on the BOA generated CIPS results. This paper describes the updated linkage with a Python script wrapper around the multi-physics code system ANC9/FUELDUTYDRV/VIPRE-W/BOA. The multi-physics code system can then evaluate changes in core power distributions due to boron deposited in the crud for comparison to measured plant cycle flux trace data. The plant flux trace data provides additional wealth of information for reducing BOA conservatism in the CIPS analysis and benchmarking the multi-physics to the plant-specific source term and plant operation. The linkage of the code system along with the application results will be the base for future development to improve CIPS/Crud Induced Localized Corrosion (CILC) risk for a plant, allowing for the potential benefits of more aggressive fuel management via higher duty cores or improved fuel economics.
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