IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i20p5035-d1495778.html

Research on the Dynamic Leaking and Diffusion Law of Hydrogen-Blended Natural Gas under the Soil–Atmosphere Coupled Model

Author

Listed:
  • Shuai Ren

    (PipeChina Southwest Pipeline Company, Chengdu 610094, China)

  • Jingyi Huang

    (College of Safety Science and Engineering, Chongqing University of Science & Technology, Chongqing 401331, China)

  • Jiuqing Ban

    (Research Institute of Natural Gas Technology, PetroChina Southwest Oil and Gas Field Company, Chengdu 610213, China)

  • Jiyong Long

    (Branch Company in Northeast of Sichuan Province, PetroChina Southwest Oil and Gas Field Company, Chengdu 610000, China)

  • Xin Wang

    (College of Safety Science and Engineering, Chongqing University of Science & Technology, Chongqing 401331, China)

  • Gang Liu

    (College of Safety Science and Engineering, Chongqing University of Science & Technology, Chongqing 401331, China)

Abstract

With the breakthrough in mixing hydrogen into natural gas pipelines for urban use, the widespread application of hydrogen-blended natural gas (HBNG) in energy delivery is imminent. However, this development also introduces significant safety concerns due to notable disparities in the physical and chemical properties between methane and hydrogen, heightening the risks associated with gas leaks. Current models that simulate the diffusion of leaked HBNG from buried pipelines into the atmosphere often employ fixed average leakage rates, which do not accurately represent the dynamic nature of gas leakage and diffusion. This study uses computational fluid dynamics (CFD) 2024R1 software to build a three-dimensional simulation model under a soil–atmosphere coupling model for HBNG leakage and diffusion. The findings reveal that, in the soil–atmosphere coupling model, the gas diffusion range under a fixed leakage rate is smaller than that under a dynamic leakage rate. Under the same influencing factors in calm wind conditions, the gas primarily diffuses in the vertical direction, whereas under the same influencing factors in windy conditions, the gas mainly diffuses in the horizontal direction.

Suggested Citation

  • Shuai Ren & Jingyi Huang & Jiuqing Ban & Jiyong Long & Xin Wang & Gang Liu, 2024. "Research on the Dynamic Leaking and Diffusion Law of Hydrogen-Blended Natural Gas under the Soil–Atmosphere Coupled Model," Energies, MDPI, vol. 17(20), pages 1-21, October.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:20:p:5035-:d:1495778
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/20/5035/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/20/5035/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Su, Yue & Li, Jingfa & Yu, Bo & Zhao, Yanlin, 2022. "Numerical investigation on the leakage and diffusion characteristics of hydrogen-blended natural gas in a domestic kitchen," Renewable Energy, Elsevier, vol. 189(C), pages 899-916.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sergey Yakush & Sergey Rashkovskiy & Maxim Alexeev & Oleg Semenov, 2025. "Features of Hydrogen-Enriched Methane–Air Flames Propagating in Hele-Shaw Channels," Energies, MDPI, vol. 18(2), pages 1-20, January.

    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, Jie & Xie, Yingchun & Xu, Zhen & Qin, Jin & Wang, Hao & Yuan, Haoxun & Zhu, Jinchi & Li, Xiaoshan, 2026. "Hydrogen diffusion characteristics and ventilation verification in a marine engine room," Renewable Energy, Elsevier, vol. 256(PD).
    2. Yang, Luming & Li, Jianwei & Liang, Haiqiang & Liang, Guoqi & Tian, Zhonghao & Shen, Jun, 2026. "Risk quantification assessment for fuel cell buses based on component leakage space risk analysis," Renewable Energy, Elsevier, vol. 256(PB).
    3. Wu, Liwen & Qiao, Liang & Fan, Junming & Wen, Jiongming & Zhang, Yi & Jar, Ben, 2025. "Investigation on leakage characteristics and consequences of hydrogen-blended gas pipelines based on CFD with the full multicomponent diffusion model," Renewable Energy, Elsevier, vol. 252(C).
    4. Li, Junjie & Xie, Zonghao & Shi, Jihao & Wang, Kaikai & Chang, Yuanjiang & Chen, Guoming & Usmani, Asif Sohail, 2025. "Domain adaptation based high-fidelity prediction for hydrogen-blended natural gas leakage and dispersion," Renewable Energy, Elsevier, vol. 252(C).
    5. Bi, Yubo & Wu, Qiulan & Wang, Shilu & Shi, Jihao & Cong, Haiyong & Ye, Lili & Gao, Wei & Bi, Mingshu, 2023. "Hydrogen leakage location prediction at hydrogen refueling stations based on deep learning," Energy, Elsevier, vol. 284(C).
    6. Lyu, Shan & Huang, Xiaomei & Peng, Shini & Sun, Mengxiao & Qi, Qi & Aimaieraili, Dulikunjiang, 2024. "A novel method for analyzing the leakage and diffusion of hydrogen: First arrival time distribution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    7. Yue Su & Jingfa Li & Wangyi Guo & Yanlin Zhao & Jianli Li & Jie Zhao & Yusheng Wang, 2022. "Prediction of Mixing Uniformity of Hydrogen Injection inNatural Gas Pipeline Based on a Deep Learning Model," Energies, MDPI, vol. 15(22), pages 1-19, November.
    8. Shu, Zhiyong & Lei, Gang & Liang, Wenqing & Zheng, Xiaohong & Qian, Hua, 2024. "Diffusion evolution behaviour of flammable clouds by liquid hydrogen spills in confined space with force ventilation: A numerical investigation," Renewable Energy, Elsevier, vol. 231(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:gam:jeners:v:17:y:2024:i:20:p:5035-:d:1495778. 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.