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Finite-time thermodynamics modeling and analysis on compressed air energy storage systems with thermal storage

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  • Guo, Huan
  • Xu, Yujie
  • Zhang, Xinjing
  • Zhu, Yilin
  • Chen, Haisheng

Abstract

The charging and discharging processes of compressed air energy storage (CAES) systems are operated separately, and their characteristics depend on time strongly. In addition, CAES systems typically consist of certain scales of thermal storage and air storage units. The size of these units has a significant effect on system performance. As time and size factors are usually involved and analyzed through finite-time thermodynamics, it can be applied for analyzing and optimizing CAES systems properly. In this paper, the finite-time thermodynamics models for CAES systems with thermal storage (TS-CAES) including single-stage and multi-stage configurations are first established. Equations of TS-CAES system efficiency are innovatively derived, with time and size items being clearly expressed and decoupled. Moreover, the well-built unbalanced factors among compressor/expander stages are used for investigating the coupling relationship. The system efficiencies with charging/discharging time, heat exchange area, unbalanced factors and other key parameters are calculated. The finite-time thermodynamic boundary of TS-CAES system is obtained. It is found that the effect of finite time and finite size on the system efficiency is in a certain range, and the optimal heat transfer conductance under a certain finite storage/release time is attained. System efficiency decreases obviously with the increase of pressure/expansion ratio unbalance. The equilibrium of the pressure loss coefficient rather than the absolute value of the pressure loss can achieve higher efficiency. Positive matching of pressure ratio/expansion ratio and compressor efficiency/expander efficiency can result in obvious positive effects.

Suggested Citation

  • Guo, Huan & Xu, Yujie & Zhang, Xinjing & Zhu, Yilin & Chen, Haisheng, 2021. "Finite-time thermodynamics modeling and analysis on compressed air energy storage systems with thermal storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    • Handle: RePEc:eee:rensus:v:138:y:2021:i:c:s1364032120309400
    DOI: 10.1016/j.rser.2020.110656
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    References listed on IDEAS

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    1. Li, Yaowang & Miao, Shihong & Luo, Xing & Yin, Binxin & Han, Ji & Wang, Jihong, 2020. "Dynamic modelling and techno-economic analysis of adiabatic compressed air energy storage for emergency back-up power in supporting microgrid," Applied Energy, Elsevier, vol. 261(C).
    2. Khaliq, Abdul & Kumar, Rajesh, 2005. "Finite-time heat-transfer analysis and ecological optimization of an endoreversible and regenerative gas-turbine power-cycle," Applied Energy, Elsevier, vol. 81(1), pages 73-84, May.
    3. Haisheng Chen & Xinjing Zhang & Jinchao Liu & Chunqing Tan, 2013. "Compressed Air Energy Storage," Chapters, in: Ahmed F. Zobaa (ed.), Energy Storage - Technologies and Applications, IntechOpen.
    4. Li, Ya-Qi & He, Ya-Ling & Wang, Zhi-Feng & Xu, Chao & Wang, Weiwei, 2012. "Exergy analysis of two phase change materials storage system for solar thermal power with finite-time thermodynamics," Renewable Energy, Elsevier, vol. 39(1), pages 447-454.
    5. Tierney, Michael, 2020. "Minimum exergy destruction from endoreversible and finite-time thermodynamics machines and their concomitant indirect energy," Energy, Elsevier, vol. 197(C).
    6. Guo, Huan & Xu, Yujie & Zhang, Xinjing & Zhou, Xuezhi & Chen, Haisheng, 2020. "Transmission characteristics of exergy for novel compressed air energy storage systems-from compression and expansion sections to the whole system," Energy, Elsevier, vol. 193(C).
    7. Venkataramani, Gayathri & Parankusam, Prasanna & Ramalingam, Velraj & Wang, Jihong, 2016. "A review on compressed air energy storage – A pathway for smart grid and polygeneration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 895-907.
    8. Ngouateu Wouagfack, Paiguy Armand & Tchinda, Réné, 2013. "Finite-time thermodynamics optimization of absorption refrigeration systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 524-536.
    9. Arabkoohsar, Ahmad & Rahrabi, Hamid Reza & Alsagri, Ali Sulaiman & Alrobaian, Abdulrahman A., 2020. "Impact of Off-design operation on the effectiveness of a low-temperature compressed air energy storage system," Energy, Elsevier, vol. 197(C).
    10. Tong, Zheming & Cheng, Zhewu & Tong, Shuiguang, 2021. "A review on the development of compressed air energy storage in China: Technical and economic challenges to commercialization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
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    Cited by:

    1. Guo, Huan & Xu, Yujie & Kang, Haoyuan & Guo, Wenbing & Liu, Yu & Zhang, Xinjing & Zhou, Xuezhi & Chen, Haisheng, 2023. "From theory to practice: Evaluating the thermodynamic design landscape of compressed air energy storage systems," Applied Energy, Elsevier, vol. 352(C).
    2. Guo, Huan & Xu, Yujie & Zhu, Yilin & Zhou, Xuezhi & Chen, Haisheng, 2022. "Thermal-mechanical coefficient analysis of adiabatic compressor and expander in compressed air energy storage systems," Energy, Elsevier, vol. 244(PB).
    3. Yang, Wenhao & Feng, Huijun & Chen, Lingen & Ge, Yanlin, 2023. "Power and efficiency optimizations of a simple irreversible supercritical organic Rankine cycle," Energy, Elsevier, vol. 278(C).
    4. Guo, Huan & Xu, Yujie & Huang, Lujing & Sun, Jianting & Chen, Haisheng, 2023. "Optimization strategy using corresponding-point methodology (CPM) concerning finite time and heat conduction rate for CAES systems," Energy, Elsevier, vol. 266(C).

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