摘要
本文建立了150℃地热水驱动的有机朗肯循环(ORC)系统热经济性能分析模型,对7种氢氟烯烃类(HFOs)工质和3种含HFOs的混合工质开展优化分析。以系统净现值(NPV)为优化目标,采用遗传算法对蒸发温度、过热度、蒸发/冷凝过程夹点温差和冷源出口温度等五个系统参数进行优化,分析各参数对系统热经济性能的影响。并将HFOs工质的热经济性能与R134a、R600a和R245fa进行对比。结果表明,R515A和R1234ze(E)的热经济性能最优,且均优于三种对比工质;其中,R515A的系统净输出功最大,R1234ze(E)的NPV最大,而R452B和R1234yf的热经济性能较差。
A thermo-economic analysis of organic Rankine cycle(ORC)system driven by the150℃geothermal water was carried out in this study.7 kinds of HFOs and 3 kinds of mixture containing HFOs were selected as working fluids.The Genetic Algorithm was used to optimize five system parameters as evaporation temperature,superheat degree,pinch point temperature difference in heat exchanger and heat sink outlet temperature,aiming at maximizing the system net present value(NPV).Effects of system parameters were analyzed and the thermo-economy of HFOs were compared with three common working fluids as R134 a,R600 a and R245 fa.Results show that the thermo-economy of R515 A and R1234 ze(E)is better than that of three compared working fluids.R515 A achieves the largest net output power and R1234 ze(E)achieves the largest NPV.The thermo-economy of R452 B and R1234 yf is much worse.
作者
胡硕倬
李健
葛众
段远源
杨震
HU Shuo-Zhuo;LI Jian;GE Zhong;DUAN Yuan-Yuan;YANG Zhen(Key Laboratory of Tlicrnicil Science and Power Engineering of MOE.Tsinghua University,Beijing 100084,China;School of Architecture and Urban Planning,Yunnan University,Kunming 650500,China)
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2020年第4期816-821,共6页
Journal of Engineering Thermophysics
基金
国家自然科学基金资助项目(No.51736005)
北京市自然科学基金资助项目(No.3194053)。
