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The Effect of Dynamic Cold Storage Packed Bed on Liquid Air Energy Storage in an Experiment Scale

Author

Listed:
  • Yong Bian

    (School of Energy & Environment, Southeast University, Nanjing 210096, China
    These authors contributed equally to this work and should be regarded as co-first authors.)

  • Chen Wang

    (School of Energy & Environment, Southeast University, Nanjing 210096, China
    These authors contributed equally to this work and should be regarded as co-first authors.)

  • Yajun Wang

    (Shenzhen Energy Nanjing Holding Co., Ltd., Nanjing 210000, China)

  • Run Qin

    (Shenzhen Energy Nanjing Holding Co., Ltd., Nanjing 210000, China)

  • Shunyi Song

    (Shenzhen Energy Nanjing Holding Co., Ltd., Nanjing 210000, China)

  • Wenhao Qu

    (Shenzhen Energy Nanjing Holding Co., Ltd., Nanjing 210000, China)

  • Lu Xue

    (Xinglu Air Separation Ltd., Suzhou 215131, China)

  • Xiaosong Zhang

    (School of Energy & Environment, Southeast University, Nanjing 210096, China)

Abstract

Liquid air energy storage (LAES) is one of the most promising large-scale energy storage technologies for the decarburization of networks. When electricity is needed, the liquid air is utilized to generate electricity through expansion, while the cold energy from liquid air evaporation is stored and recovered in the air liquefaction process. The packed bed filled with rocks/pebbles for cold storage is more suitable for real-world application in the near future compared to the fluids for cold storage. A standalone LAES system with packed bed energy storage is proposed in our previous work. However, the utilization of pressurized air for heat transfer fluid in the cold storage packed bed (CSPB) is confusing, and the effect of the CSPB on the system level should be further discussed. To address these issues, the dynamic performance of the CSPB is analyzed with the physical properties of the selected cold storage materials characterized. The system simulation is conducted in an experiment scale with and without considering the exergy loss of the CSPB for comparison. The simulation results show that the proposed LAES system has an ideal round trip efficiency (RTE) of 39.38–52.91%. With the consideration of exergy destruction of the CSPB, the RTE decreases by 19.91%. Furthermore, increasing the cold storage pressure reasonably is beneficial to the exergy efficiency of the CSPB, whether it is non-supercritical (0.1 MPa–3 MPa) or supercritical (4 MPa–9 MPa) air. These findings will give guidance and prediction to the experiments of the LAES and finally promote the development of the industrial application.

Suggested Citation

  • Yong Bian & Chen Wang & Yajun Wang & Run Qin & Shunyi Song & Wenhao Qu & Lu Xue & Xiaosong Zhang, 2021. "The Effect of Dynamic Cold Storage Packed Bed on Liquid Air Energy Storage in an Experiment Scale," Energies, MDPI, vol. 15(1), pages 1-20, December.
    • Handle: RePEc:gam:jeners:v:15:y:2021:i:1:p:36-:d:708059
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    References listed on IDEAS

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    1. Rodrigues, E.M.G. & Godina, R. & Santos, S.F. & Bizuayehu, A.W. & Contreras, J. & Catalão, J.P.S., 2014. "Energy storage systems supporting increased penetration of renewables in islanded systems," Energy, Elsevier, vol. 75(C), pages 265-280.
    2. Denholm, Paul & Hand, Maureen, 2011. "Grid flexibility and storage required to achieve very high penetration of variable renewable electricity," Energy Policy, Elsevier, vol. 39(3), pages 1817-1830, March.
    3. Gao, Yuanzhi & Hu, Guohao & Zhang, Yuzhuo & Zhang, Xiaosong, 2022. "An experimental study of a hybrid photovoltaic thermal system based on ethanol phase change self-circulation technology: Energy and exergy analysis," Energy, Elsevier, vol. 238(PA).
    4. Xinguo Sun & Jasim M. Mahdi & Hayder I. Mohammed & Hasan Sh. Majdi & Wang Zixiong & Pouyan Talebizadehsardari, 2021. "Solidification Enhancement in a Triple-Tube Latent Heat Energy Storage System Using Twisted Fins," Energies, MDPI, vol. 14(21), pages 1-23, November.
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