基于MODA算法的有机朗肯循环多目标优化

Multi-objective Optimization for Organic Rankine Cycles Using MODA Algorithm

针对中高温烟气驱动的有机朗肯循环发电系统进行多目标优化设计,以热效率和单位输出功率的系统总投资成本(PER)为多目标函数,选取蒸发温度和冷凝温度为决策变量,引入多目标蜻蜓算法(MODA)对工质苯的最佳循环参数进行寻优,采用一维向心透平效率模型取代固定透平等熵效率,并对工质进行敏感性分析。结果表明:透平效率随蒸发温度增加单调减少,随冷凝温度增加单调增加;在帕累托前沿中,随着热效率的增加,变透平效率寻优结果中PER迅速增加,定透平效率寻优结果中PER增加相对较平缓;热源温度越高,定透平效率寻优结果和变透平效率寻优结果差异越大。

Multi-objective optimization design is carried out on the organic Rankine cycle power generation system driven by high temperature flue gas.Thermal efficiency and system total cost per unit net power output are selected as multi-objective functions and evaporation temperature and condensation temperature are chose as decision variable.Multi-objective Dragonfly algorithm(MODA) is introduced to carry out the search of optimal cycle parameters about benzene.The one dimensional turbine efficiency model is adopted to replace the constant isentropic efficiency of turbine and the sensitive analysis of working fluid is conducted.The results revel that turbine efficiency decreases monotonically with the increase of evaporation temperature and the decrease of condensation temperature.In Pareto frontier,with the increase of thermal efficiency,the increase of PER in optimization result with variable turbine efficiency is rapid,while the increase of PER in optimization result with constant turbine efficiency is relative gentle.The higher heat source temperature is,the bigger difference between optimization results with variable turbine efficiency and that with constant turbine efficiency is.