乏燃料干式贮存库缩尺模型热量缩比实验和模拟修正研究
Study on heat scaling experiment and simulation correction of a scaled-down model of spent fuel dry storage vaults
摘要:
乏燃料干式贮存库复杂的内部结构使理论推导的热量缩比实验与实际存在偏差,模型实验的结果与原尺寸贮存库存在一定差异。本文主要研究目的是修正乏燃料干式贮存库的热量缩比误差,提升贮存库模型实验的合理性与准确性。首先,搭建了1∶4缩比的贮存库模型,进行了贮存库功率变化实验与室外温度变化实验,确定了贮存库常规运行下的基础特性;其次,对原尺寸贮存库进行了数值模拟,通过对比模拟与实验结果,确定了最佳热量缩比区间;最后,对乏燃料干式贮存库模型实验的理论热量缩比公式进行了修正。结果表明:乏燃料干式贮存库缩比前、后关键参数(内筒温度、环隙气温)高度一致的最佳缩比功率区间为360~390 W;贮存库最佳热量缩比范围为1∶16.41~1∶17.78,修正后的理论热量缩比公式的修正系数范围为0.64~0.69。
Abstract:
The complex internal structure of spent fuel dry storage vaults causes deviations between theoretically derived heat scaling experiments and actual conditions, and the results of model experiments are somewhat different from those of full-scale storage vaults. The main purpose of this study is to correct the heat scaling errors of spent fuel dry storage vaults and to improve the rationality and accuracy of storage vault model experiments. Firstly, a 1∶4 scale model of the storage vaults is built, and the experiments on storage vault power variation and outdoor temperature variation are conducted to determine the basic characteristics of the storage vault under normal operation. Secondly, a numerical simulation is conducted on the full-scale storage vault, and by comparing the simulation result with experimental result, the optimal heat scaling range is determined. Finally, the theoretical heat scaling formula for the experimental model of the spent fuel dry storage vault is revised. The results indicate that the optimal scaling power range, where the key parameters (inner cylinder temperature and annular gap air temperature) of the spent fuel dry storage vault before and after scaling are highly consistent, is 360 W to 390 W. The optimal heat scaling range for the storage vault is 1∶16.41 to 1∶17.78, and the correction factor range for the revised theoretical heat scaling formula is 0.64 to 0.69.
Keywords:spent fuel; dry storage vault; scaled-down model; similarity theory; heat; scaling; experiment; simulation correction


