闭式安全壳非能动热量导出系统的多目标优化

Multi-Objective Design Optimization for A Conceptual Passive Containment Cooling System with Closed-Loop Configuration

基于一维两相均相流模型,开发了某概念性闭式安全壳非能动热量导出系统的稳态性能分析程序。基于遗传算法和非支配解概念,通过排序算法、拥挤距离以及最优解保留等策略,设计开发了基于遗传算法的非支配解多目标优化算法。利用所开发的多目标优化设计程序,对闭式非能动安全壳热量导出系统概念方案进行了多目标优化,结果表明,内外部换热器传热管径以及内部换热器传热管长是影响系统排热能力的关键参数,适当减小传热管管径、增加传热管管长有助于提高系统排热能力,本文所给出的优化方案可为工程设计提供参考。

In this research, a set of models were were developed for the prediction of the performance cooling system （PCCS） based on one-dimensional set up and corresponding codes （PCCS-CL） of proposed conceptual passive containment homogeneous two phase flow model. An improved non-dominated genetic algorithm （1NGA） was developed with the sorting algorithm, improved crowding-distance and optimum retention strategy. The multi-objective design optimization for the proposed PCCS was conducted by using developed codes of INGA. The sensitive study on key parameters show that the diameter of heat transfer tube both for in-containment heat exchanger and ex-containment heat exchanger plays a critical role for the heat removal capacity of PCCS. For the range of parameters in this paper, either reducing the inside diameter or increasing the length of heat transfer tube is helpful for improving the heat removal capacity of the system. The optimized scheme given in this study might provide references for the engineering design of PCCS.