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Preliminary conceptual design and thermo-economic analysis of a combined cooling, heating and power system based on supercritical carbon dioxide cycle

机译:基于超临界二氧化碳循环的初步概念设计与热经济分析

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摘要

Application of the supercritical carbon dioxide (SCO_2) cycle to advanced nuclear reactors have confirmed a number of benefits. However, abundant low-level cooling heat is wasted in the gas cooler. A combined cooling, heating and power (CCHP) system, which integrates a SCO_2 cycle with an Organic Rankine cycle (ORC) and an ejector refrigeration cycle (ERC), is proposed to realize the energy cascade utilization for nuclear power. The thermodynamic and exergoeconomic models of the novel CCHP system are established for system simulations under steady-state conditions. Parametric analysis results show that the decrease of ORC turbine back pressure or the increase of SCO_2 turbine inlet temperature and ERC evaporation temperature contribute to both design thermodynamic and exergoeconomic performance. In addition, there exist optimal values of the SCO_2 compressor pressure ratio and the bottoming cycle turbine inlet pressure to minimize the total product unit cost and maximize the exergetic efficiency. Furthermore, multi-objective optimization by means of a genetic algorithm is carried out to obtain the optimal design performance. The CCHP system can gain an improvement by 9.17% for the exergetic efficiency and a decrement by 5.05% for the total product unit cost compared with the stand-alone SCO_2 system under the optimal condition.
机译:超临界二氧化碳(SCO_2)循环在高级核反应堆中的应用已经证实了许多益处。然而,气体冷却器中浪费了丰富的低水平冷却热量。提出了一种结合冷却,加热和功率(CCHP)系统,其与有机朗肯循环(ORC)和喷射器制冷循环(ERC)集成了SCO_2循环,以实现核电的能量级联利用。在稳态条件下建立了新型CCHP系统的热力学和Exergo经济模型,用于系统模拟。参数分析结果表明,兽人涡轮机背压的降低或SCO_2涡轮机入口温度和ERC蒸发温度的增加有助于设计热力学和exergo经济性能。另外,存在SCO_2压缩机压力比和底部循环涡轮机入口压力的最佳值,以使总产品单元成本最小化并最大化前进的效率。此外,通过遗传算法进行多目标优化以获得最佳设计性能。与最佳条件下的独立SCO_2系统相比,CCHP系统可以提高9.17%的exerget效率,并且总产品单位成本减少5.05%。

著录项

  • 来源
    《Energy》 |2020年第jul15期|117842.1-117842.14|共14页
  • 作者单位

    Institute of Turbomachinery School of Energy and Power Engineering Xi'an Jiaotong University Xi'an 710049 China;

    School of Mechanical and Power Engineering Zhengzhou University China;

    Institute of Turbomachinery School of Energy and Power Engineering Xi'an Jiaotong University Xi'an 710049 China;

    Institute of Turbomachinery School of Energy and Power Engineering Xi'an Jiaotong University Xi'an 710049 China;

    Institute of Turbomachinery School of Energy and Power Engineering Xi'an Jiaotong University Xi'an 710049 China;

    Institute of Turbomachinery School of Energy and Power Engineering Xi'an Jiaotong University Xi'an 710049 China;

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

    SCO_2; CCHP system; Parametric analysis; Optimization;

    机译:sco_2;CCHP系统;参数分析;优化;

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