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采用自主开发的加速器驱动次临界堆芯稳态分析程序LAVENDER,对加速器驱动次临界系统(ADS)的冷却剂种类、堆芯次临界度、燃料组件几何尺寸以及堆芯热功率进行敏感性分析。计算结果表明,针对加速器质子束流、次锕系核素(MA)嬗变率或热工安全裕量等单一堆芯性能参数进行优化时,往往导致其他堆芯性能参数的恶化。因此在ADS堆芯设计时,应做出折中选择以平衡不同设计目标参数。
A self-developed accelerator-driven sub-critical core steady-state analysis program, LAVENDER, was used to conduct sensitivity analysis of accelerator type subcritical systems (ADS) coolant types, core sub-criticality, fuel assembly geometry and core thermal power. The calculation results show that the optimization of single core performance parameters such as accelerator proton beam flux, transmutation of actinide (MA), or thermal safety margin often leads to the deterioration of other core performance parameters. Therefore, in the ADS core design, should make a compromise choice to balance different design goals parameters.