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A study of working fluids for Organic Rankine Cycles (ORCs) operating across and below ambient temperature to utilize Liquefied Natural Gas (LNG) cold energy

机译:对有机朗肯循环(ORC)的工作流体的研究,该工作流体在高于和低于环境温度的条件下运行,以利用液化天然气(LNG)冷能

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Liquefied Natural Gas (LNG) contains significant amounts of cold exergy, which is normally wasted during regasification at receiving terminals. This paper addresses working fluid screening for Organic Rankine Cycles (ORCs) utilizing LNG cold energy. Due to the cryogenic temperature of LNG, the condensation temperature of an ORC should be far below ambient temperature, and the working fluid should be totally different from conventional ORCs operating above ambient temperature. However, the working fluids also depend on the cycle configuration and the natural gas target pressure. In this study, a simulation-based optimization framework is proposed to compare the performance of 22 candidate working fluids. The Particle Swarm Optimization (PSO) algorithm is adopted to optimize 5 and 7 dimensional search spaces for the combined systems operated across and below ambient temperature. Promising working fluids for ORCs considering the effect of natural gas target pressure are suggested based on the optimization results. The most energy efficient working fluids are R125, R143a, 8290 and R1270 for ORCs operated below ambient temperature without waste heat utilization. For ORCs operated across ambient temperature utilizing flue gas waste heat from a natural gas fired power plant, R170, R134a and R290 perform better than other working fluids. (C) 2018 Elsevier Ltd. All rights reserved.
机译:液化天然气(LNG)含有大量的冷本能,通常在接收终端进行再气化时会被浪费掉。本文介绍了利用LNG冷能对有机朗肯循环(ORC)进行工作液筛选的方法。由于液化天然气的低温,ORC的冷凝温度应远低于环境温度,并且工作流体应与高于环境温度的常规ORC完全不同。但是,工作流体还取决于循环配置和天然气目标压力。在这项研究中,提出了一种基于仿真的优化框架来比较22种候选工作流体的性能。采用粒子群优化(PSO)算法为在环境温度以下及以下运行的组合系统优化5维和7维搜索空间。在优化结果的基础上,提出了考虑天然气目标压力影响的ORCs有希望的工作流体。能源效率最高的工作流体是R125,R143a,8290和R1270,适用于在低于环境温度的条件下运行而又不利用废热的ORC。对于利用天然气发电厂的烟气余热在室温下运行的ORC,R170,R134a和R290的性能要优于其他工作流体。 (C)2018 Elsevier Ltd.保留所有权利。

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