Multi-objective optimal design of evaporative condenser using zeotropic working fluid
Applying evaporative condenser to zeotropic organic Rankine cycle can effectively improve the thermal economy of the system.After establishing the Kriging surrogate model of evaporative condenser,by taking the R601a component mass fraction,air flow rate and spray water flow rate flow as decision variables,and the heat exchange area and exergy efficiency as objective functions,analysis of influencing factors of the objective function was conducted,and multi-objective optimization was carried out using non-dominated sorting genetic algorithm and TOPSIS decision method.The results showed that in the analysis of influencing factors,the influence of air flow rate on the objective function was greater than that of spray water flow rate,and when the mass fraction of R601a was about 0.7,the heat exchange area had a minimum value and the exergy efficiency had a maximum value.In Pareto front,the mass fraction of R601a component had the best value range for the design of evaporative condenser,while the value range of air flow rate and spray water flow rate was wide,covering almost the whole range of variation.The scheme with low cost,small occupied space and high effective utilization of available energy was:R601a component mass fraction of 0.725,air flow rate of 81.017kg/s,spray water flow rate of 58.302kg/s,corresponding heat exchange area of 316.883m2,and exergy efficiency of 0.428.