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Thermodynamic analysis and parametric optimization of a novel S-CO_2 power cycle for the waste heat recovery of internal combustion engines

机译:新型S-CO_2功率循环的热力学分析和参数优化,用于内燃机的废热回收

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摘要

With the aim to recover the exhaust heat of internal combustion engine efficiently, a novel supercritical CO_2 (S-CO_2) power cycle is proposed on the basis of recompression cycle configuration. The corresponding thermodynamic models are established to analyze the energetic and exergetic performances of the system. The effects of turbine inlet temperatures and system pressures are investigated. Thereafter, in order to output the maximum net work, genetic algorithm (GA) is employed to optimize these key parameters. Under design conditions, the calculated results indicate that the thermal efficiency and the exergy efficiency of the system can reach up to 35.86% and 67.90% respectively. Furthermore, as the inlet temperature of high pressure turbine increases, cycle efficiency increases while output work decreases. However, for the effect of inlet temperature of low pressure turbine, cycle efficiency and output work increase with the increase of temperature. As for the intermediate pressure of this system, there exist pressures to get the maximum net work and cycle efficiency. Based on GA optimization, an optimal combination of system parameters is obtained. The corresponding maximum cycle power is 39.49 kW, and the recovery efficiency of waste heat can reach up to 74.83%.
机译:利用有效地回收内燃机的排气热,基于再压缩循环构造提出了一种新的超临界CO_2(S-CO_2)功率循环。建立了相应的热力学模型,以分析系统的能量和前进性能。研究了涡轮机入口温度和系统压力的影响。此后,为了输出最大网络工作,采用遗传算法(GA)来优化这些关键参数。在设计条件下,计算结果表明,该系统的热效率和漏极效率可分别达到35.86%和67.90%。此外,随着高压涡轮机的入口温度增加,循环效率随着输出工作减小而增加。然而,对于高压涡轮机的入口温度的影响,循环效率和输出工作随着温度的增加而增加。至于该系统的中压,存在压力以获得最大的净工作和循环效率。基于GA优化,获得了系统参数的最佳组合。相应的最大循环功率为39.49千瓦,废热的回收效率可达74.83%。

著录项

  • 来源
    《Energy》 |2020年第15期|118484.1-118484.14|共14页
  • 作者单位

    School of Energy Science and Engineering Central South University Changsha 410083 Hunan China;

    School of Energy Science and Engineering Central South University Changsha 410083 Hunan China;

    CTG (China Three Gorges Corporation) Science and Technology Research Institute China;

    School of Energy Science and Engineering Central South University Changsha 410083 Hunan China;

    Key Laboratory of Efficient Utilization 0/ Low and Medium Grade Energy (Tianjin University) MOE Tianjin 300072 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Supercritical carbon dioxide; Brayton cycle; Waster heat recovery; Thermodynamic analysis; GA optimization;

    机译:超临界二氧化碳;布雷顿循环;加热回收;热力学分析;GA优化;

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