In order to improve the comprehensive heat transfer performance of the primary heat exchanger in lead-cooled fast reactors,the present study established a thermal-hydraulic model for a spiral-coil primary heat exchanger using liquid lead and supercritical carbon dioxide(S-CO2)as working fluids.A design code was developed in MATLAB language,and a multi-objective optimization design was conducted on the heat transfer area and comprehensive performance evaluation factor of the primary heat exchanger by employing the Non-dominated Sorting Genetic Algorithm-Ⅱ(NSGA-Ⅱ).The results showed that the optimization design method proposed in this paper can effectively reduce the heat transfer area of the heat exchanger and improve its comprehensive performance.In the design of the primary heat exchanger,priority should be given to the outer diameter of tubes,the number of spiral tube layers and the number of spiral tubes in the first layer,so as to reduce the heat exchange area and improve the comprehensive heat exchange performance.
Lead-cooled fast reactorHeat exchangerGene algorithmOptimization design
维普
万方数据
