IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i11p2955-d1671566.html
   My bibliography  Save this article

Dynamic Modeling and Performance Analysis of Liquid Carbon Dioxide Energy Storage System

Author

Listed:
  • Aolei Chen

    (College of Electrical Engineering, Xinjiang University, Urumqi 830017, China)

  • Xinyuan Nan

    (College of Electrical Engineering, Xinjiang University, Urumqi 830017, China)

  • Xin Cai

    (College of Electrical Engineering, Xinjiang University, Urumqi 830017, China)

Abstract

With the large-scale grid connection of renewable energy and the surge of peak power system demand, liquid carbon dioxide energy storage technology has become a research hotspot due to its high energy density and environmental friendliness. However, most of the existing research focuses on the steady-state performance of the system, and the parameter coupling and transient response characteristics under dynamic operating conditions are not yet clear. To this end, this paper constructs a dynamic simulation model of a 10 MW-class liquid carbon dioxide energy storage (LCES) based on the Simulink platform, focuses on the coupling effects of the compressor inlet temperature, pressure, and mass flow rate and the expander inlet mass flow rate on the system parameters, and reveals the dynamic correlation between the system work and the state of charge value of the tank under the variable power working condition. The results show that the system’s round-trip efficiency (RTE) is 65.3% under design conditions, and the energy density reaches 34.79 kW·h·m −3 . Perturbation analysis shows that when the compressor inlet temperature rises from 283.15 K to 303.15 K, the power consumption fluctuates in the range of 96.84% to 102.99% under design conditions. The inlet pressure perturbation (0.5~1.5 bar) will cause the power consumption of the compressor to change by 80.2%. In variable power operation, the state of charge value of the high-pressure liquid tank level in the energy storage stage rises from 0 to 84.89%, and the state of charge value of the high-pressure liquid tank level in the energy release stage decreases from 84.89% to 31.48%. The dynamic model proposed in this paper can accurately capture the transient response characteristics of the system and provide theoretical support for the optimization design and engineering application of LCES.

Suggested Citation

  • Aolei Chen & Xinyuan Nan & Xin Cai, 2025. "Dynamic Modeling and Performance Analysis of Liquid Carbon Dioxide Energy Storage System," Energies, MDPI, vol. 18(11), pages 1-22, June.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2955-:d:1671566
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/11/2955/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/11/2955/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kim, Y.M. & Favrat, D., 2010. "Energy and exergy analysis of a micro-compressed air energy storage and air cycle heating and cooling system," Energy, Elsevier, vol. 35(1), pages 213-220.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Jin-Long & Wang, Jian-Hua, 2015. "Thermodynamic analysis of a novel tri-generation system based on compressed air energy storage and pneumatic motor," Energy, Elsevier, vol. 91(C), pages 420-429.
    2. Jannelli, E. & Minutillo, M. & Lubrano Lavadera, A. & Falcucci, G., 2014. "A small-scale CAES (compressed air energy storage) system for stand-alone renewable energy power plant for a radio base station: A sizing-design methodology," Energy, Elsevier, vol. 78(C), pages 313-322.
    3. Li, Yongliang & Wang, Xiang & Li, Dacheng & Ding, Yulong, 2012. "A trigeneration system based on compressed air and thermal energy storage," Applied Energy, Elsevier, vol. 99(C), pages 316-323.
    4. Zhang, Yufei & Zhang, Wenlong & Li, Ruixiong & Wang, Huanran & He, Xin & Li, Xiangdong & Du, Junyu & Zhang, Xuanhao, 2024. "Thermodynamic and economic analysis of a novel compressed air energy storage system coupled with solar energy and liquid piston energy storage and release," Energy, Elsevier, vol. 311(C).
    5. Facci, Andrea L. & Sánchez, David & Jannelli, Elio & Ubertini, Stefano, 2015. "Trigenerative micro compressed air energy storage: Concept and thermodynamic assessment," Applied Energy, Elsevier, vol. 158(C), pages 243-254.
    6. Briola, Stefano & Di Marco, Paolo & Gabbrielli, Roberto & Riccardi, Juri, 2016. "A novel mathematical model for the performance assessment of diabatic compressed air energy storage systems including the turbomachinery characteristic curves," Applied Energy, Elsevier, vol. 178(C), pages 758-772.
    7. Zhou, Qian & Du, Dongmei & Lu, Chang & He, Qing & Liu, Wenyi, 2019. "A review of thermal energy storage in compressed air energy storage system," Energy, Elsevier, vol. 188(C).
    8. Shkolnikov, E.I. & Zhuk, A.Z. & Vlaskin, M.S., 2011. "Aluminum as energy carrier: Feasibility analysis and current technologies overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4611-4623.
    9. Bi, Xianyun & Liu, Pei & Li, Zheng, 2016. "Thermo-dynamic analysis and simulation of a combined air and hydro energy storage (CAHES) system," Energy, Elsevier, vol. 116(P2), pages 1385-1396.
    10. Erren Yao & Huanran Wang & Long Liu & Guang Xi, 2014. "A Novel Constant-Pressure Pumped Hydro Combined with Compressed Air Energy Storage System," Energies, MDPI, vol. 8(1), pages 1-18, December.
    11. Cheung, Brian C. & Carriveau, Rupp & Ting, David S.-K., 2014. "Parameters affecting scalable underwater compressed air energy storage," Applied Energy, Elsevier, vol. 134(C), pages 239-247.
    12. Stefano Ubertini & Andrea Luigi Facci & Luca Andreassi, 2017. "Hybrid Hydrogen and Mechanical Distributed Energy Storage," Energies, MDPI, vol. 10(12), pages 1-16, December.
    13. Ebrahimi, Mehdi & Carriveau, Rupp & Ting, David S.-K. & McGillis, Andrew, 2019. "Conventional and advanced exergy analysis of a grid connected underwater compressed air energy storage facility," Applied Energy, Elsevier, vol. 242(C), pages 1198-1208.
    14. Beatrice Castellani & Andrea Presciutti & Mirko Filipponi & Andrea Nicolini & Federico Rossi, 2015. "Experimental Investigation on the Effect of Phase Change Materials on Compressed Air Expansion in CAES Plants," Sustainability, MDPI, vol. 7(8), pages 1-14, July.
    15. Szabó, Gábor L. & Kalmár, Ferenc, 2019. "Investigation of energy and exergy performances of radiant cooling systems in buildings – A design approach," Energy, Elsevier, vol. 185(C), pages 449-462.
    16. Hu, Xiao & Zhang, Heng & Chen, Dongwen & Li, Yong & Wang, Li & Zhang, Feng & Cheng, Haozhong, 2020. "Multi-objective planning for integrated energy systems considering both exergy efficiency and economy," Energy, Elsevier, vol. 197(C).
    17. Ruixiong Li & Huanran Wang & Erren Yao & Shuyu Zhang, 2016. "Thermo-Economic Comparison and Parametric Optimizations among Two Compressed Air Energy Storage System Based on Kalina Cycle and ORC," Energies, MDPI, vol. 10(1), pages 1-19, December.
    18. Georgios E. Arnaoutakis & Gudrun Kocher-Oberlehner & Dimitris Al. Katsaprakakis, 2023. "Criteria-Based Model of Hybrid Photovoltaic–Wind Energy System with Micro-Compressed Air Energy Storage," Mathematics, MDPI, vol. 11(2), pages 1-15, January.
    19. Sanjib Kumar Mitra & Srinivas Bhaskar Karanki & Marcus King & Decai Li & Mark Dooner & Oleh Kiselychnyk & Jihong Wang, 2021. "Application of Modern Non-Linear Control Techniques for the Integration of Compressed Air Energy Storage with Medium and Low Voltage Grid," Energies, MDPI, vol. 14(14), pages 1-18, July.
    20. Zhang, Han & Wang, Liang & Lin, Xipeng & Chen, Haisheng, 2020. "Combined cooling, heating, and power generation performance of pumped thermal electricity storage system based on Brayton cycle," Applied Energy, Elsevier, vol. 278(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2955-:d:1671566. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.