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Transient natural gas liquefaction and its application to CCC-ES (energy storage with cryogenic carbon capture™)

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  • Fazlollahi, Farhad
  • Bown, Alex
  • Ebrahimzadeh, Edris
  • Baxter, Larry L.

Abstract

This paper presents steady-state and transient models and optimization of natural gas liquefaction using Aspen HYSYS. Steady-state exergy and heat exchanger efficiency analyses summarize the performance of several potential systems. Transient analyses of the optimal steady-state model produced most of the results discussed here. These results pertain to LNG (liquefied natural gas) generally and to an energy storage process associated with CCC (cryogenic carbon capture™) in which the LNG process plays a prominent role specifically. The energy storage CCC process influences the time constants and magnitudes of the flow rate characteristics. These flowrate variations affect all units, especially compressors and heat exchangers. The proposed process controls temperatures, pressures and other operating parameters. K-value- and U-value-techniques guide flowrate and heat exchanger stream variations. Transient responses to both ramping and step-changes in flow rates indicate process responses, including summary effects represented in transient efficiency graphs.

Suggested Citation

  • Fazlollahi, Farhad & Bown, Alex & Ebrahimzadeh, Edris & Baxter, Larry L., 2016. "Transient natural gas liquefaction and its application to CCC-ES (energy storage with cryogenic carbon capture™)," Energy, Elsevier, vol. 103(C), pages 369-384.
  • Handle: RePEc:eee:energy:v:103:y:2016:i:c:p:369-384
    DOI: 10.1016/j.energy.2016.02.109
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    Citations

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    Cited by:

    1. Safdarnejad, Seyed Mostafa & Hedengren, John D. & Powell, Kody M., 2018. "Performance comparison of low temperature and chemical absorption carbon capture processes in response to dynamic electricity demand and price profiles," Applied Energy, Elsevier, vol. 228(C), pages 577-592.
    2. Hossein Asgharian & Florin Iov & Samuel Simon Araya & Thomas Helmer Pedersen & Mads Pagh Nielsen & Ehsan Baniasadi & Vincenzo Liso, 2023. "A Review on Process Modeling and Simulation of Cryogenic Carbon Capture for Post-Combustion Treatment," Energies, MDPI, vol. 16(4), pages 1-35, February.
    3. Yang, Shanju & Fu, Bao & Hou, Yu & Chen, Shuangtao & Li, Zhiguo & Wang, Shaojin, 2019. "Transient cooling and operational performance of the cryogenic part in reverse Brayton air refrigerator," Energy, Elsevier, vol. 167(C), pages 921-938.
    4. Li, Yong & Xie, Gongnan & Sunden, Bengt & Lu, Yuanwei & Wu, Yuting & Qin, Jiang, 2018. "Performance study on a single-screw compressor for a portable natural gas liquefaction process," Energy, Elsevier, vol. 148(C), pages 1032-1045.
    5. Song, Chunfeng & Liu, Qingling & Ji, Na & Deng, Shuai & Zhao, Jun & Li, Yang & Kitamura, Yutaka, 2017. "Reducing the energy consumption of membrane-cryogenic hybrid CO2 capture by process optimization," Energy, Elsevier, vol. 124(C), pages 29-39.
    6. Safdarnejad, Seyed Mostafa & Hedengren, John D. & Baxter, Larry L., 2016. "Dynamic optimization of a hybrid system of energy-storing cryogenic carbon capture and a baseline power generation unit," Applied Energy, Elsevier, vol. 172(C), pages 66-79.
    7. Wen, Chuang & Li, Bo & Ding, Hongbing & Akrami, Mohammad & Zhang, Haoran & Yang, Yan, 2022. "Thermodynamics analysis of CO2 condensation in supersonic flows for the potential of clean offshore natural gas processing," Applied Energy, Elsevier, vol. 310(C).
    8. Song, Chunfeng & Liu, Qingling & Deng, Shuai & Li, Hailong & Kitamura, Yutaka, 2019. "Cryogenic-based CO2 capture technologies: State-of-the-art developments and current challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 265-278.

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