基于遗传算法的闭式非能动安全壳热量导出系统排热能力优化

Optimization of Heat Removal Capacity for Passive Containment Cooling System with Closed-loop Configuration Based on Genetic Algorithm

以闭式非能动安全壳热量导出系统(PCCS)概念方案为研究对象,基于一维两相均相流模型建立了评价该系统排热能力的物理模型,并开发了相应的计算程序;开发了基于遗传算法的优化设计程序;利用所开发的优化设计程序,对闭式PCCS概念方案的排热能力进行优化,给出了系统几何参数和运行参数的优化方向。结果表明:在所研究参数范围内,适当增加内部和外部换热器传热管径可增加系统排热能力;最佳外/内部换热器传热管数比为1.58。

A conceptual design of passive containment cooling system(PCCS)with closed-loop configuration was investigated.A set of models were set up and corresponding codes(PCCS-CL)were developed for the prediction of the heat removal capacity of proposed PCCS based on one-dimensional homogeneous two-phase flow model.The genetic algorithm was selected to develop the code for optimization of PCCS.The optimization code was used to conduct the design optimization of PCCS in terms of heat removal capacity along with the PCCS-CL codes.The way to select the geometrical and operational parameters for PCCS was clarified.The results show that the heat removal capacity of PCCS can be enhanced by increasing the diameters of tubes of both internal and external heat exchangers.The optimized number ratio of tube for external heat exchanger and internal heat exchanger is 1.58.