IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v257y2026ics0960148125024589.html

Strategy for the design and operation regulation of compressed gas energy storage system based on a comprehensive comparison between four different systems: Thermodynamic analysis and machine learning

Author

Listed:
  • Li, Yupeng
  • Gao, Jianmin
  • Xie, Min
  • Zhang, Yu
  • Dong, Heming
  • Du, Qian
  • Zhang, Songsong

Abstract

This paper optimized the flow distribution of heat-exchanging CO2 in adsorption based compressed CO2 energy storage system (A-CCES). A comparative analysis among compressed air energy storage system (CAES), liquid compressed CO2 energy storage system (L-CCES) and A-CCES under similar design conditions was carried out. The round-trip efficiency (RTE) of A-CCES is 17.56% higher than that of CAES reaching 88.26%, and energy storage density (ESD) is 2.4 times that of CAES reaching 6.28 kWh/m3. Based on the results of sensitive analysis, a machine learning study was conducted to quantify the impact weights of each parameter on system performance and to analyze the coupling effects of dual-parameter variations on system performance. Increasing hot storage tank (HT) temperature and isentropic efficiency of turbine simultaneously can achieve an effect for improving RTE of more than twice for increasing individual parameters. For improving ESD, enhancing HT temperature and HPT pressure simultaneously can achieve an enhancement effect of more than twice for increasing individual parameters. To balance both RTE and ESD, HT temperatures and HPT pressure need to be increased, at the maximum level of isentropic efficiency for turbomachinery.

Suggested Citation

  • Li, Yupeng & Gao, Jianmin & Xie, Min & Zhang, Yu & Dong, Heming & Du, Qian & Zhang, Songsong, 2026. "Strategy for the design and operation regulation of compressed gas energy storage system based on a comprehensive comparison between four different systems: Thermodynamic analysis and machine learning," Renewable Energy, Elsevier, vol. 257(C).
  • Handle: RePEc:eee:renene:v:257:y:2026:i:c:s0960148125024589
    DOI: 10.1016/j.renene.2025.124794
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125024589
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.124794?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Zhou, Jianzhao & Chu, Yin Ting & Ren, Jingzheng & Shen, Weifeng & He, Chang, 2023. "Integrating machine learning and mathematical programming for efficient optimization of operating conditions in organic Rankine cycle (ORC) based combined systems," Energy, Elsevier, vol. 281(C).
    2. Liu, Junwei & Zhang, Yilun & Yin, Suzhen & Zhang, Yao & Luo, Xiaoling & Liu, Zhan, 2024. "Economic and exergy transmission analysis of the gas-liquid type compressed CO2 energy storage system," Renewable Energy, Elsevier, vol. 230(C).
    3. Zhang, Tianhang & Qin, Shusong & Wei, Guohua & Xie, Min & Peng, Yirui & Tang, Zhipei & Sun, Qiaoqun & Du, Qian & Feng, Dongdong & Gao, Jianmin & Li, Ximei & Zhang, Yu, 2023. "Thermodynamic analysis of a novel trans-critical compressed carbon dioxide energy storage system based on 13X zeolite temperature swing adsorption," Energy, Elsevier, vol. 282(C).
    4. Peng, Yirui & Zhu, Ju & Wang, Jia & Zhang, Shuqi & Du, Qian & Dong, Heming & Zhang, Yu & Gao, Jianmin & Xie, Min, 2024. "Design and development of an advanced gas storage device and control method for a novel compressed CO2 energy storage system," Renewable Energy, Elsevier, vol. 237(PA).
    5. Guo, Chaobin & Pan, Lehua & Zhang, Keni & Oldenburg, Curtis M. & Li, Cai & Li, Yi, 2016. "Comparison of compressed air energy storage process in aquifers and caverns based on the Huntorf CAES plant," Applied Energy, Elsevier, vol. 181(C), pages 342-356.
    6. Luo, Haizhi & Wang, Chenglong & Li, Cangbai & Meng, Xiangzhao & Yang, Xiaohu & Tan, Qian, 2024. "Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China," Applied Energy, Elsevier, vol. 360(C).
    7. Fu, Xintao & Yan, Xuewen & Liu, Zhan, 2023. "Coupling thermodynamics and economics of liquid CO2 energy storage system with refrigerant additives," Energy, Elsevier, vol. 284(C).
    8. Tang, Junrong & Li, Qibin & Werle, Sebastian & Wang, Shukun & Yu, Haoshui, 2024. "Development and comprehensive thermo-economic analysis of a novel compressed CO2 energy storage system integrated with high-temperature thermal energy storage," Energy, Elsevier, vol. 303(C).
    9. 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).
    10. Wang, Ronghe & Song, Panpan & Wei, Mingshan & Tian, Ran & Sun, Xiaoxia & Zhuge, Weilin & Zhang, Yangjun, 2025. "Performance evaluation of liquid CO2 battery for SOFC energy system load management," Applied Energy, Elsevier, vol. 377(PB).
    11. Sun, Lei & Liu, Tianyuan & Wang, Ding & Huang, Chengming & Xie, Yonghui, 2022. "Deep learning method based on graph neural network for performance prediction of supercritical CO2 power systems," Applied Energy, Elsevier, vol. 324(C).
    12. Sadighi Dizaji, Hamed & Jafarmadar, Samad & Hashemian, Mehran, 2015. "The effect of flow, thermodynamic and geometrical characteristics on exergy loss in shell and coiled tube heat exchangers," Energy, Elsevier, vol. 91(C), pages 678-684.
    13. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    14. Huang, Qingxi & Feng, Biao & Liu, Shengchun & Ma, Cuiping & Li, Hailong & Sun, Qie, 2023. "Dynamic operating characteristics of a compressed CO2 energy storage system," Applied Energy, Elsevier, vol. 341(C).
    15. Kong, Yigang & Kong, Zhigang & Liu, Zhiqi & Wei, Congmei & Zhang, Jingfang & An, Gaocheng, 2017. "Pumped storage power stations in China: The past, the present, and the future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 720-731.
    16. Liang, Yaran & Li, Peng & Su, Wen & Li, Wei & Xu, Wei, 2024. "Development of green data center by configuring photovoltaic power generation and compressed air energy storage systems," Energy, Elsevier, vol. 292(C).
    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, Xu & Wang, Ke & He, Qing, 2025. "Compressed carbon dioxide energy storage: a comprehensive review of principles, research progress and prospects," Energy, Elsevier, vol. 324(C).
    2. Deng, Tianyu & Wu, Chuang & Zhang, Weiguo & Luo, Kui, 2025. "Thermo-economic performance assessment of a liquid CO2 energy storage system with different sensible heat storage materials," Energy, Elsevier, vol. 326(C).
    3. Shen, Xiajie & Kong, Deyu & Chen, Kaijie & Zhang, Yuan & Wang, Zihan & Dai, Tianle & Xu, Cheng, 2025. "Towards efficient storage and lower pressure swing: thermodynamic analysis on the application of adsorbents in a gaseous storage compressed carbon dioxide energy storage system," Energy, Elsevier, vol. 341(C).
    4. Cao, Jingchuan & Gao, Jianmin & Du, Qian & Li, Jinshi & Zhang, Tianhang & Gao, Hanyang & Dong, Heming & Zhang, Yu & Li, Ximei, 2025. "Flexibility improvement in thermal power units by coupling with adsorption-based compressed CO2 energy storage system: A comprehensive analysis," Energy, Elsevier, vol. 334(C).
    5. Li, Yi & Yu, Hao & Tang, Dong & Li, Yi & Zhang, Guijin & Liu, Yaning, 2022. "A comparison of compressed carbon dioxide energy storage and compressed air energy storage in aquifers using numerical methods," Renewable Energy, Elsevier, vol. 187(C), pages 1130-1153.
    6. King, Marcus & Jain, Anjali & Bhakar, Rohit & Mathur, Jyotirmay & Wang, Jihong, 2021. "Overview of current compressed air energy storage projects and analysis of the potential underground storage capacity in India and the UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    7. Zhang, Weifeng & Ding, Jialu & Yin, Suzhen & Zhang, Fangyuan & Zhang, Yao & Liu, Zhan, 2024. "Thermo-economic optimization of an artificial cavern compressed air energy storage with CO2 pressure stabilizing unit," Energy, Elsevier, vol. 294(C).
    8. Li, Yi & Xue, Ping & Li, Yi & Liu, Yaning & Wang, Jingrui & Yin, Wenjie, 2025. "Modeling underground performance of compressed air energy storage in a practical flat aquifer: Insights on the permeability effects," Energy, Elsevier, vol. 322(C).
    9. Fuquan Zhao & Fanlong Bai & Xinglong Liu & Zongwei Liu, 2022. "A Review on Renewable Energy Transition under China’s Carbon Neutrality Target," Sustainability, MDPI, vol. 14(22), pages 1-27, November.
    10. Yang, Lichao & Cai, Zuansi & Li, Cai & He, Qingcheng & Ma, Yan & Guo, Chaobin, 2020. "Numerical investigation of cycle performance in compressed air energy storage in aquifers," Applied Energy, Elsevier, vol. 269(C).
    11. Lou, Juwei & Wang, Jiangfeng & Luo, Fang & Chen, Weidong & Chen, Liangqi & Islam, M.R. & Chua, K.J., 2025. "Enhanced performance evaluation and operational regulation of a novel combined cooling and power system using machine learning," Energy, Elsevier, vol. 333(C).
    12. Zhang, Yuan & Shen, Xiajie & Tian, Zhen & Kan, Ankang & Yang, Chao & Gao, Wenzhong & Yang, Ke, 2025. "Comparative study of operating modes on a gaseous two-stage compressed carbon dioxide energy storage system through energy and exergy analysis based on dynamic simulation," Energy, Elsevier, vol. 316(C).
    13. Rusin, Krzysztof & Ochmann, Jakub & Bartela, Łukasz & Rulik, Sebastian & Stanek, Bartosz & Jurczyk, Michał & Waniczek, Sebastian, 2022. "Influence of geometrical dimensions and particle diameter on exergy performance of packed-bed thermal energy storage," Energy, Elsevier, vol. 260(C).
    14. Tongu, Daiki & Obara, Shin'ya, 2024. "Formation temperature range expansion and energy storage properties of CO2 hydrates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    15. Bennett, Jeffrey A. & Simpson, Juliet G. & Qin, Chao & Fittro, Roger & Koenig, Gary M. & Clarens, Andres F. & Loth, Eric, 2021. "Techno-economic analysis of offshore isothermal compressed air energy storage in saline aquifers co-located with wind power," Applied Energy, Elsevier, vol. 303(C).
    16. Bin Zhang & Junbo Yang & Sule Tian & Qingxi Huang & Wei Wang & Qie Sun & Xiaohan Ren, 2023. "Techno-Economic Evaluation of a Compressed CO 2 Energy Storage System for Load Shifting Based on Dynamic Modelling," Energies, MDPI, vol. 16(23), pages 1-15, December.
    17. Li, Yi & Liu, Yaning & Li, Yi & Hu, Bin & Gai, Peng, 2023. "Potential influences of leakage through a high permeability path on shallow aquifers in compressed air energy storage in aquifers," Renewable Energy, Elsevier, vol. 209(C), pages 661-676.
    18. Wang, Tongtao & Yang, Chunhe & Wang, Huimeng & Ding, Shuanglong & Daemen, J.J.K., 2018. "Debrining prediction of a salt cavern used for compressed air energy storage," Energy, Elsevier, vol. 147(C), pages 464-476.
    19. Dewevre, Florent & Lacroix, Clément & Loubar, Khaled & Poncet, Sébastien, 2024. "Carbon dioxide energy storage systems: Current researches and perspectives," Renewable Energy, Elsevier, vol. 224(C).
    20. Xu, Yingjun & Xia, Caichu & Zhou, Shuwei & Xu, Chen, 2025. "Thermodynamic response of underground caverns for compressed air energy storage considering different operational modes of the energy storage system," Energy, Elsevier, vol. 331(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:renene:v:257:y:2026:i:c:s0960148125024589. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.