基于粒子群算法的跨临界有机朗肯循环性能优化及工质筛选  

Optimization Design and Working Fluid Selection for Transcritical Organic Rankine Cycle Based on Particle Swarm Optimization

作　　者：席奂[1] 王娟丽[1] 李明佳[1] 程泽东[1] 何雅玲[1] 

机构地区：[1]西安交通大学能源与动力工程学院,热流科学与工程教育部重点实验室,陕西西安710049

出　　处：《工程热物理学报》2015年第3期461-467,共7页Journal of Engineering Thermophysics

基　　金：国家重点基础研究发展计划(973计划)(No.2013CB228304);国家自然科学基金项目(No.51176155)

摘　　要：本文针对跨临界有机朗肯循环进行了热力计算,并根据工质的热物性与环保性能以及对应循环的热力学性能等因素,经过一系列筛选过程最终优选出了10种综合性能较好的跨临界有机朗肯循环工质。热力计算结果表明,部分有机工质对应的跨临界朗肯循环的效率随膨胀机进口温度或蒸发压力的变化存在最优值。基于此,本文进一步采用粒子群算法(Particle Swarm Optimization,PSO)对所选有机工质的跨临界朗肯循环性能进行了优化分析。优化结果表明,在所筛选的10种跨临界有机朗肯循环工质中非制冷剂工质propylene的综合性能最好,propane次之;而制冷剂工质中R143a的综合性能较好。In this work,thermodynamic calculations for the transcritical organic Rankine cycle(ORC) were performed,and 10 optimal working fluids were recommended for the transcritical ORC,based on the thermophysical properties,environmental protection performance of the working fluids and the thermodynamic performance of the whole cycle.According to the thermodynamic calculation results and the variation trends of the transcritical ORC exergy efficiency with the expander inlet temperature and the evaporate pressure,it is revealed that there exist optimal values.Thus,an optimization analysis was further performed for the transcritical ORC with the above recommended10 working fluids,using the Particle Swarm Optimization(PSO) as the optimizer.The optimization results show that the propylene possesses the best overall performance in the no-refrigerant working fluids,which is followed by the propane,while the R134 a is standout for its remarkable performance among the refrigerant working fluids.

关 键 词：跨临界有机朗肯循环 工质筛选 粒子群算法 性能优化 火用效率 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TK123[自动化与计算机技术—控制科学与工程]