IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v277y2023ics0360544223010757.html
   My bibliography  Save this article

Study on gas wave ejector with a novel wave rotor applied in natural gas extraction

Author

Listed:
  • Zhao, Yiming
  • Hu, Dapeng
  • Yu, Yang
  • Li, Haoran

Abstract

A gas wave ejector (GWE) is an efficient energy conversion technology. This study innovatively proposes a new type of curved diverging channel (Sp-ch channel) and performs a relevant comparative fluid and thermodynamic analysis. The flow losses of the incident high-pressure gas and the medium-pressure gas in the pressure port can be significantly reduced by the bending angles of the Sp-ch channel. The structure of the Sp-ch channel allows the medium-pressure gas to complete a certain degree of dynamic-static pressure conversion in the channels, improving the static pressure ratio of the gas discharged from the rotor. Compared to the traditional rotor, the Sp-ch rotor exhibits a minimum increase of 57% in ejection rate and 5% in efficiency under the comparative conditions in this study. This study established a GWE testing platform in a coalbed methane well site and conducted its first application test, which preliminarily shows the application advantages of a GWE. Under the testing conditions in this study, the maximum ejection rate of GWE reaches to 35.1%, allowing for a maximum recovery production of approximately 8832 Nm3/d from the discontinued low-pressure wells. Moreover, except for overcoming mechanical friction, the GWE operates with almost no power consumption.

Suggested Citation

  • Zhao, Yiming & Hu, Dapeng & Yu, Yang & Li, Haoran, 2023. "Study on gas wave ejector with a novel wave rotor applied in natural gas extraction," Energy, Elsevier, vol. 277(C).
    • Handle: RePEc:eee:energy:v:277:y:2023:i:c:s0360544223010757
    DOI: 10.1016/j.energy.2023.127681
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223010757
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.127681?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. Hong, Bingyuan & Li, Xiaoping & Li, Yu & Chen, Shilin & Tan, Yao & Fan, Di & Song, Shangfei & Zhu, Baikang & Gong, Jing, 2022. "An improved hydraulic model of gathering pipeline network integrating pressure-exchange ejector," Energy, Elsevier, vol. 260(C).
    2. Tang, Yongzhi & Liu, Zhongliang & Li, Yanxia & Huang, Zhifeng & Chua, Kian Jon, 2021. "Study on fundamental link between mixing efficiency and entrainment performance of a steam ejector," Energy, Elsevier, vol. 215(PB).
    3. Lei, Y. & Zhou, D.S. & Zhang, H.G., 2010. "Investigation on performance of a compression-ignition engine with pressure-wave supercharger," Energy, Elsevier, vol. 35(1), pages 85-93.
    4. Tüchler, Stefan & Copeland, Colin D., 2020. "Experimental and numerical assessment of an optimised, non-axial wave rotor turbine," Applied Energy, Elsevier, vol. 268(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. Baek, Seungju & Lee, Hyeonjik & Lee, Kihyung, 2021. "Fuel efficiency and exhaust characteristics of turbocharged diesel engine equipped with an electric supercharger," Energy, Elsevier, vol. 214(C).
    2. Tüchler, Stefan & Copeland, Colin D., 2020. "Experimental and numerical assessment of an optimised, non-axial wave rotor turbine," Applied Energy, Elsevier, vol. 268(C).
    3. Li, Xiaoping & Yang, Qi & Xie, Xugang & Chen, Sihang & Pan, Chen & He, Zhouying & Gong, Jing & Hong, Bingyuan, 2023. "Spatiotemporal simulation of gas-liquid transport in the production process of continuous undulating pipelines," Energy, Elsevier, vol. 278(PA).
    4. Elena Arce, María & Saavedra, Ángeles & Míguez, José L. & Granada, Enrique, 2015. "The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 924-932.
    5. Ge, Jing & Chen, Hongjie & Jin, Yang & Li, Jun, 2023. "Conical-cylindrical mixer ejector design model for predicting optimal nozzle exit position," Energy, Elsevier, vol. 283(C).
    6. Yang, Yan & Karvounis, Nikolas & Walther, Jens Honore & Ding, Hongbing & Wen, Chuang, 2021. "Effect of area ratio of the primary nozzle on steam ejector performance considering nonequilibrium condensations," Energy, Elsevier, vol. 237(C).
    7. Yiming Zhao & Haoran Li & Dapeng Hu & Minghao Liu & Qing Feng, 2022. "Study on the Performance of Collaborative Production Mode for Gas Wave Ejector," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    8. Koo, Bonchan & Chang, Seungjoon & Kwon, Hweeung, 2023. "Digital twin for natural gas infrastructure operation and management via streaming dynamic mode decomposition with control," Energy, Elsevier, vol. 274(C).
    9. Raman, P. & Ram, N.K., 2013. "Performance analysis of an internal combustion engine operated on producer gas, in comparison with the performance of the natural gas and diesel engines," Energy, Elsevier, vol. 63(C), pages 317-333.
    10. Tang, Yongzhi & Yuan, Jiali & Liu, Zhongliang & Feng, Qing & Gong, Xiaolong & Lu, Lin & Chua, Kian Jon, 2022. "Study on evolution laws of two-phase choking flow and entrainment performance of steam ejector oriented towards MED-TVC desalination system," Energy, Elsevier, vol. 242(C).
    11. Shining Chan & Yeyu Chen & Fei Xing & Huoxing Liu, 2022. "Effect of Stagger Angle of Rotor Channels on the Wave Rotor," Energies, MDPI, vol. 15(24), pages 1-20, December.
    12. Wei Tian & Defeng Du & Juntong Li & Zhiqiang Han & Wenbin Yu, 2020. "Establishment of a Two-Stage Turbocharging System Model and Analysis on Influence Rules of Key Parameters," Energies, MDPI, vol. 13(8), pages 1-20, April.
    13. Baek, Seungju & Woo, Seungchul & Kim, Youngkun & Lee, Kihyung, 2019. "Prediction of turbocharged diesel engine performance equipped with an electric supercharger using 1D simulation," Energy, Elsevier, vol. 185(C), pages 213-228.
    14. Inhestern, Lukas Benjamin & Peitsch, Dieter & Paniagua, Guillermo, 2024. "Flow irreversibility and heat transfer effects on turbine efficiency," Applied Energy, Elsevier, vol. 353(PA).

    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:277:y:2023:i:c:s0360544223010757. 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.