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Multi-objective optimization, design and performance analysis of an advanced trigenerative micro compressed air energy storage system

机译：先进的三代微型压缩空气储能系统的多目标优化，设计和性能分析

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摘要

This paper proposes an advanced trigenerative micro compressed air energy storage (CAES) system, which acts as combined cooling, heating and power system by recovering cooling, heating and power energy during or after expansion. The proposed CAES system can be integrated with grid and placed close to users' side. Based on the users' demand, the proposed CAES system can produce different kinds of energy by adjusting the turbine inlet temperature in different seasons. The mathematical model of the proposed system including energy analysis and economic analysis has been set up. A multi-objective optimization by the aid of Non-dominated sorting Genetic Algorithm-II(NSGA-II) is employed to determine the design parameters of the proposed system considering the round trip efficiency and the annual total cost saving. A case application reveals the effectiveness of the above method. At the final optimal point, the round trip efficiency and the annual total cost saving are 0.762 and 147,820.0 $/year, respectively. Then, the design parameters of the proposed system are as follow: the capacity of each compressor is 256.0 kW, the capacity of turbine is 830.0 kW, and the volume of compressed air reservoir is 502.0 m(3). In addition, a sensitivity analysis is performed mainly to assess the influence of key parameters variation on the proposed CAES system performance. This research will provide a guiding principle for design and practical application of trigenerative CAES system to mitigate the power shortage and improve economy for users.
机译：本文提出了一种先进的三代微压缩空气储能（CAES）系统，该系统通过在膨胀过程中或膨胀后回收冷却，热能和电能来作为冷却，加热和动力的组合系统。拟议的CAES系统可以与网格集成，并放置在靠近用户方的位置。根据用户需求，所建议的CAES系统可以通过在不同季节调节涡轮机入口温度来产生不同种类的能量。建立了所提出系统的数学模型，包括能量分析和经济分析。考虑到往返效率和每年节省的总成本，利用非支配排序遗传算法-II（NSGA-II）进行多目标优化来确定所提出系统的设计参数。一个案例的应用揭示了上述方法的有效性。在最后的最佳点，往返效率和每年节省的总成本分别为0.762和147,820.0美元/年。然后，提出的系统的设计参数如下：每个压缩机的容量为256.0 kW，涡轮机的容量为830.0 kW，压缩空气储罐的容量为502.0 m（3）。此外，进行敏感性分析主要是评估关键参数变化对拟议CAES系统性能的影响。该研究将为三代CAES系统的设计和实际应用提供指导思想，以减轻用电不足，提高用户经济性。

著录项

  • 来源
    《Energy Conversion & Management》 |2019年第4期|323-333|共11页
  • 作者

    Jiang Runhua; Yin Huibin; Peng Kewen; Xu Yongjun;

  • 作者单位

    Dongguan Univ Technol, Sch Chem Engn & Energy Technol, Guangdong Prov Key Lab Distributed Energy Syst, Dongguan 523808, Peoples R China;

    Dongguan Univ Technol, Sch Chem Engn & Energy Technol, Guangdong Prov Key Lab Distributed Energy Syst, Dongguan 523808, Peoples R China;

    Dongguan Univ Technol, Sch Chem Engn & Energy Technol, Guangdong Prov Key Lab Distributed Energy Syst, Dongguan 523808, Peoples R China;

    Dongguan Univ Technol, Sch Chem Engn & Energy Technol, Guangdong Prov Key Lab Distributed Energy Syst, Dongguan 523808, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Micro compressed air energy storage; Trigenerative; Turbine inlet temperature; Multi-objective optimization and design; Sensitivity analysis;

    机译：微型压缩空气储能;蓄热;汽轮机进口温度;多目标优化设计;灵敏度分析;

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