Optimization of Liquid LBE-helium Heat Exchanger in ADS

The multi-parameter optimization of the liquid LBE-helium heat exchanger in ADS was conducted by genetic algorithm with entransy dissipation number and total cost as objective functions. The results show that the effectiveness of heat exchanger increases by 10.5% and 3.8%, and the total cost-reduces by 5.9% and 27.0% respectively with two optimization methods. Nevertheless, the optimization processes trade off increasing heat transfer area and decreasing heat transfer effectiveness respectively against achieving optimization targets. By comprehensively considering heat exchanger performance and cost-benefit, the optimization method with entransy dissipation number as the objective function is found to be more advantageous.