IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v302y2024ics0360544224015135.html
   My bibliography  Save this article

Volume-of-fluid-based method for three-dimensional shape prediction during the construction of horizontal salt caverns energy storage

Author

Listed:
  • Liu, Jia
  • Zhu, Song
  • Wanyan, Qiqi
  • Li, Kang
  • Xu, Wenjie
  • Zhuang, Duanyang
  • Zhan, Liangtong
  • Chen, Yunmin
  • Li, Jinlong

Abstract

Construction prediction is the key for the shape control of energy storage salt caverns, which benefits with the storage capacity and long-term operational safety. However, the conventional grid discretization methods using elastic grid could not accurately tracking the three-dimensional boundary movements of salt cavern. This paper introduced a novel construction prediction model of salt cavern using a Volume-of-fluid based method. The tracking of the salt caverns’ dissolving boundary is successfully reconstructed and tracked by the fluid volume fractions (0-1) in structural grids. The model was validated by indoor experiment and field data. In the simulation of indoor experiment, the lateral expansion, which was difficult to reproduce in previous models, is successfully simulated. The volume of the simulation chamber is 392.8 ml with an error of 1.9 %. During the simulation of Volgograd horizontal cavern construction, the simulated cavern shape is close to the sonar detection, with an average error in radius about 3.6 %. And the brine-discharge concentration is consistent with the site monitoring, with an average error about 4.5 %. These results validate the capability of the proposed method in three-dimensional dynamic boundary tracking and shape prediction of salt cavern.

Suggested Citation

  • Liu, Jia & Zhu, Song & Wanyan, Qiqi & Li, Kang & Xu, Wenjie & Zhuang, Duanyang & Zhan, Liangtong & Chen, Yunmin & Li, Jinlong, 2024. "Volume-of-fluid-based method for three-dimensional shape prediction during the construction of horizontal salt caverns energy storage," Energy, Elsevier, vol. 302(C).
  • Handle: RePEc:eee:energy:v:302:y:2024:i:c:s0360544224015135
    DOI: 10.1016/j.energy.2024.131740
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224015135
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.131740?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Wei & Jiang, Deyi & Chen, Jie & Daemen, J.J.K. & Tang, Kang & Wu, Fei, 2018. "Comprehensive feasibility study of two-well-horizontal caverns for natural gas storage in thinly-bedded salt rocks in China," Energy, Elsevier, vol. 143(C), pages 1006-1019.
    2. Li, Jinlong & Wang, ZhuoTeng & Zhang, Shuai & Shi, Xilin & Xu, Wenjie & Zhuang, Duanyang & Liu, Jia & Li, Qingdong & Chen, Yunmin, 2022. "Machine-learning-based capacity prediction and construction parameter optimization for energy storage salt caverns," Energy, Elsevier, vol. 254(PA).
    3. Yang, Chunhe & Wang, Tongtao & Li, Yinping & Yang, Haijun & Li, Jianjun & Qu, Dan’an & Xu, Baocai & Yang, Yun & Daemen, J.J.K., 2015. "Feasibility analysis of using abandoned salt caverns for large-scale underground energy storage in China," Applied Energy, Elsevier, vol. 137(C), pages 467-481.
    4. Li, Jinlong & Tang, Yao & Shi, Xilin & Xu, Wenjie & Yang, Chunhe, 2019. "Modeling the construction of energy storage salt caverns in bedded salt," Applied Energy, Elsevier, vol. 255(C).
    5. Liu, Wei & Zhang, Zhixin & Chen, Jie & Fan, Jinyang & Jiang, Deyi & Jjk, Daemen & Li, Yinping, 2019. "Physical simulation of construction and control of two butted-well horizontal cavern energy storage using large molded rock salt specimens," Energy, Elsevier, vol. 185(C), pages 682-694.
    6. Li, Jinlong & Shi, Xilin & Zhang, Shuai, 2020. "Construction modeling and parameter optimization of multi-step horizontal energy storage salt caverns," Energy, Elsevier, vol. 203(C).
    7. Ling, Daosheng & Zhu, Song & Zheng, Jianjing & Xu, Zijun & Zhao, Yunsong & Chen, Liuping & Shi, Xilin & Li, Jinlong, 2023. "A simulation method for the dissolution construction of salt cavern energy storage with the interface angle considered," Energy, Elsevier, vol. 263(PB).
    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. Huiyong Song & Song Zhu & Jinlong Li & Zhuoteng Wang & Qingdong Li & Zexu Ning, 2023. "Design Criteria for the Construction of Energy Storage Salt Cavern Considering Economic Benefits and Resource Utilization," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    2. Li, Jinlong & Zhang, Ning & Xu, Wenjie & Naumov, Dmitri & Fischer, Thomas & Chen, Yunmin & Zhuang, Duanyang & Nagel, Thomas, 2022. "The influence of cavern length on deformation and barrier integrity around horizontal energy storage salt caverns," Energy, Elsevier, vol. 244(PB).
    3. Zhang, Xiong & Liu, Wei & Jiang, Deyi & Qiao, Weibiao & Liu, Enbin & Zhang, Nan & Fan, Jinyang, 2021. "Investigation on the influences of interlayer contents on stability and usability of energy storage caverns in bedded rock salt," Energy, Elsevier, vol. 231(C).
    4. Li, Jinlong & Shi, Xilin & Zhang, Shuai, 2020. "Construction modeling and parameter optimization of multi-step horizontal energy storage salt caverns," Energy, Elsevier, vol. 203(C).
    5. Ling, Daosheng & Zhu, Song & Zheng, Jianjing & Xu, Zijun & Zhao, Yunsong & Chen, Liuping & Shi, Xilin & Li, Jinlong, 2023. "A simulation method for the dissolution construction of salt cavern energy storage with the interface angle considered," Energy, Elsevier, vol. 263(PB).
    6. Li, Jinlong & Wang, ZhuoTeng & Zhang, Shuai & Shi, Xilin & Xu, Wenjie & Zhuang, Duanyang & Liu, Jia & Li, Qingdong & Chen, Yunmin, 2022. "Machine-learning-based capacity prediction and construction parameter optimization for energy storage salt caverns," Energy, Elsevier, vol. 254(PA).
    7. Liu, Wei & Zhang, Zhixin & Chen, Jie & Jiang, Deyi & Wu, Fei & Fan, Jinyang & Li, Yinping, 2020. "Feasibility evaluation of large-scale underground hydrogen storage in bedded salt rocks of China: A case study in Jiangsu province," Energy, Elsevier, vol. 198(C).
    8. Lyu, Cheng & Dai, Hangyu & Ma, Chao & Zhou, Ping & Zhao, Chengxing & Xu, Deng & Zhang, Liangquan & Liang, Chao, 2024. "Prediction model for three-dimensional surface subsidence of salt cavern storage with different shapes," Energy, Elsevier, vol. 297(C).
    9. Wang, Junbao & Wang, Xiaopeng & Zhang, Qiang & Song, Zhanping & Zhang, Yuwei, 2021. "Dynamic prediction model for surface settlement of horizontal salt rock energy storage," Energy, Elsevier, vol. 235(C).
    10. Habibi, Rahim & Zare, Shokrollah & Asgari, Amin & Singh, Mrityunjay & Mahmoodpour, Saeed, 2023. "Coupled thermo-hydro-mechanical-chemical processes in salt formations for storage applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    11. Liang, Xiaopeng & Ma, Hongling & Cai, Rui & Zhao, Kai & Zeng, Zhen & Li, Hang & Yang, Chunhe, 2023. "Feasibility analysis of natural gas storage in the voids of sediment within salt cavern——A case study in China," Energy, Elsevier, vol. 285(C).
    12. Li, Hang & Ma, Hongling & Liu, Jiang & Zhu, Shijie & Zhao, Kai & Zheng, Zhuyan & Zeng, Zhen & Yang, Chunhe, 2023. "Large-scale CAES in bedded rock salt: A case study in Jiangsu Province, China," Energy, Elsevier, vol. 281(C).
    13. Jinlong, Li & Wenjie, Xu & Jianjing, Zheng & Wei, Liu & Xilin, Shi & Chunhe, Yang, 2020. "Modeling the mining of energy storage salt caverns using a structural dynamic mesh," Energy, Elsevier, vol. 193(C).
    14. Liao, Youqiang & Wang, Tongtao & Ren, Zhongxin & Wang, Duocai & Sun, Wei & Sun, Peng & Li, Jingcui & Zou, Xianjian, 2024. "Multi-well combined solution mining for salt cavern energy storages and its displacement optimization," Energy, Elsevier, vol. 288(C).
    15. Zhang, Xiong & Liu, Wei & Chen, Jie & Jiang, Deyi & Fan, Jinyang & Daemen, J.J.K. & Qiao, Weibiao, 2022. "Large-scale CO2 disposal/storage in bedded rock salt caverns of China: An evaluation of safety and suitability," Energy, Elsevier, vol. 249(C).
    16. Nan Zhang & Wei Liu & Yun Zhang & Pengfei Shan & Xilin Shi, 2020. "Microscopic Pore Structure of Surrounding Rock for Underground Strategic Petroleum Reserve (SPR) Caverns in Bedded Rock Salt," Energies, MDPI, vol. 13(7), pages 1-22, March.
    17. Jian Wang & Peng Li & Weizheng Bai & Jun Lu & Xinghui Fu & Yaping Fu & Xilin Shi, 2024. "Mechanical Behavior of Sediment-Type High-Impurity Salt Cavern Gas Storage during Long-Term Operation," Energies, MDPI, vol. 17(16), pages 1-14, August.
    18. Wei, Xinxing & Shi, Xilin & Li, Yinping & Li, Peng & Ban, Shengnan & Zhao, Kai & Ma, Hongling & Liu, Hejuan & Yang, Chunhe, 2023. "A comprehensive feasibility evaluation of salt cavern oil energy storage system in China," Applied Energy, Elsevier, vol. 351(C).
    19. Liu, Wei & Zhang, Zhixin & Chen, Jie & Fan, Jinyang & Jiang, Deyi & Jjk, Daemen & Li, Yinping, 2019. "Physical simulation of construction and control of two butted-well horizontal cavern energy storage using large molded rock salt specimens," Energy, Elsevier, vol. 185(C), pages 682-694.
    20. Xue, Tianfu & Shi, Xilin & Wang, Guibin & Liu, Xin & Wei, Xinxing & Ding, Shuanglong & Fu, Xinghui, 2024. "Study on repairing technical parameters of irregular gas storage salt caverns," Energy, Elsevier, vol. 293(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:eee:energy:v:302:y:2024:i:c:s0360544224015135. 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/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.