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Exergy Optimization of a Novel Combination of a Liquid Air Energy Storage System and a Parabolic Trough Solar Collector Power Plant

机译:液体空气储能系统和抛物面槽太阳能集热器发电厂的新型组合的优化优化

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摘要

In this paper, a parabolic trough solar collector (PTSC) plant is combined with a liquid air energy storage (LAES) system. The genetic algorithm (GA) is used to optimize the proposed system for different air storage mass flow rates. The roundtrip exergy ratio is considered as the objective function and pressures of six points and mass flow rates of five points are considered as design parameters. The effects of some environmental and key parameters such as different radiation intensities, ambient temperatures, output pressures of the second compressor, and mass flow rates of the collectors fluid on the exergy ratio are investigated. The results revealed that the system could produce 17526.15 kJ/s (17.5MW) power in high demands time and 2233.48 kJ/s (2.2MW) power in low demands time and the system shows that a value of 15.13% round trip exergy ratio is achievable. Furthermore, the exergy ratio decreased by 5.1% when the air storage mass flow rate increased from 10 to 15 kg/s. Furthermore, the exergy ratio decreases by increasing the collectors inside fluid mass flow rate or by decreasing radiation intensity.
机译:在本文中,抛物线槽太阳能收集器(PTSC)植物与液体空气储能(Laes)系统相结合。遗传算法(GA)用于优化所提出的系统,用于不同的空气储存质量流量。往返Deergy率被认为是目标函数,并且六点压力和五点质量流量的压力被认为是设计参数。研究了一些环境和关键参数,例如不同的辐射强度,环境温度,第二压缩机的输出压力,以及收集器流体对漏胀比的质量流量。结果表明,该系统可以在高要求时间内生产17526.15克/秒(17.5mW)功率,低需求时间和2233.48 kJ / s(2.2mW)功率,系统表明,往返往复运动的值为15.13%可实现的。此外,当空气储存质量流量从10%增加到15kg / s时,电气比率降低了5.1%。此外,通过增加流体质量流速或通过降低辐射强度,通过增加收集器来降低漏胀比。

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