IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v237y2021ics0360544221016753.html
   My bibliography  Save this article

Numerical analysis of the aerothermodynamic behavior of a Hyperloop in choked flow

Author

Listed:
  • Sui, Yang
  • Niu, Jiqiang
  • Yu, Qiujun
  • Yuan, Yanping
  • Cao, Xiaoling
  • Yang, Xiaofeng

Abstract

The Hyperloop is a form of ultra-high-speed transportation system subject to complex fluid dynamic regimes, such as choked flow. This study investigates the aerothermodynamic behavior of the Hyperloop in a choked flow structure using computational fluid dynamics (CFD). A vehicular movement model of the Hyperloop was constructed to simulate the relative motion of the pod and tube. The CFD algorithm has been previously verified via experiment data and numerical simulation. The flow structure around the Hyperloop pod and the causes of the significant temperature and pressure differences were studied. A series of complex phenomena occur in the choked region, including choked flow, shock waves, and expansion waves. The blockage ratio and pod velocity increase, widening the temperature and pressure differences across the Hyperloop tube and increasing the total temperature and pressure in the tube. The initial pressure of the tube promotes the formation of the aerodynamic environment, but has no significant effect on the temperature. Aerodynamic drag is a key performance characteristic of the Hyperloop, and the influence of three aerodynamic parameters (blockage ratio, Hyperloop pod velocity and initial tube pressure) is positively correlated with drag. With the decrease in initial tube pressure, the decrease in aerodynamic drag decelerates. Engineers could control aerodynamic drag using a low initial tube pressure and minimizing the blockage ratio, which helps improve the Hyperloop's velocity and performance.

Suggested Citation

  • Sui, Yang & Niu, Jiqiang & Yu, Qiujun & Yuan, Yanping & Cao, Xiaoling & Yang, Xiaofeng, 2021. "Numerical analysis of the aerothermodynamic behavior of a Hyperloop in choked flow," Energy, Elsevier, vol. 237(C).
    • Handle: RePEc:eee:energy:v:237:y:2021:i:c:s0360544221016753
    DOI: 10.1016/j.energy.2021.121427
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221016753
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.121427?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. Feng, Xuesong & Mao, Baohua & Feng, Xujie & Feng, Jia, 2011. "Study on the maximum operation speeds of metro trains for energy saving as well as transport efficiency improvement," Energy, Elsevier, vol. 36(11), pages 6577-6582.
    2. Shooshtari, S.H. Rajaee & Shahsavand, A., 2017. "Maximization of energy recovery inside supersonic separator in the presence of condensation and normal shock wave," Energy, Elsevier, vol. 120(C), pages 153-163.
    3. Jae-Sung Oh & Taehak Kang & Seokgyun Ham & Kwan-Sup Lee & Yong-Jun Jang & Hong-Sun Ryou & Jaiyoung Ryu, 2019. "Numerical Analysis of Aerodynamic Characteristics of Hyperloop System," Energies, MDPI, vol. 12(3), pages 1-17, February.
    4. Lamberts, Olivier & Chatelain, Philippe & Bourgeois, Nicolas & Bartosiewicz, Yann, 2018. "The compound-choking theory as an explanation of the entrainment limitation in supersonic ejectors," Energy, Elsevier, vol. 158(C), pages 524-536.
    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. Huang, Yeran & Yang, Lixing & Tang, Tao & Gao, Ziyou & Cao, Fang, 2017. "Joint train scheduling optimization with service quality and energy efficiency in urban rail transit networks," Energy, Elsevier, vol. 138(C), pages 1124-1147.
    2. Jerzy Kisilowski & Rafał Kowalik, 2020. "Displacements of the Levitation Systems in the Vehicle Hyperloop," Energies, MDPI, vol. 13(24), pages 1-25, December.
    3. Ding, Hongbing & Zhang, Yu & Sun, Chunqian & Yang, Yan & Wen, Chuang, 2022. "Numerical simulation of supersonic condensation flows using Eulerian-Lagrangian and Eulerian wall film models," Energy, Elsevier, vol. 258(C).
    4. Wang, Jinghui & Rakha, Hesham A., 2017. "Electric train energy consumption modeling," Applied Energy, Elsevier, vol. 193(C), pages 346-355.
    5. Mohammed Abdulla & Khalid A. Juhany, 2022. "A Rapid Solver for the Prediction of Flow-Field of High-Speed Vehicle Moving in a Tube," Energies, MDPI, vol. 15(16), pages 1-15, August.
    6. Lambros Mitropoulos & Annie Kortsari & Alexandros Koliatos & Georgia Ayfantopoulou, 2021. "The Hyperloop System and Stakeholders: A Review and Future Directions," Sustainability, MDPI, vol. 13(15), pages 1-28, July.
    7. Metsue, Antoine & Debroeyer, Romain & Poncet, Sébastien & Bartosiewicz, Yann, 2022. "An improved thermodynamic model for supersonic real-gas ejectors using the compound-choking theory," Energy, Elsevier, vol. 238(PB).
    8. Liu, Yang & Cao, Xuewen & Guo, Dan & Cao, Hengguang & Bian, Jiang, 2023. "Influence of shock wave/boundary layer interaction on condensation flow and energy recovery in supersonic nozzle," Energy, Elsevier, vol. 263(PA).
    9. Ning, Jingjie & Zhou, Yonghua & Long, Fengchu & Tao, Xin, 2018. "A synergistic energy-efficient planning approach for urban rail transit operations," Energy, Elsevier, vol. 151(C), pages 854-863.
    10. Lee, Chung-Yee & Lee, Hau L. & Zhang, Jiheng, 2015. "The impact of slow ocean steaming on delivery reliability and fuel consumption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 176-190.
    11. Jinho Lee & Wonhee You & Jungyoul Lim & Kwan-Sup Lee & Jae-Yong Lim, 2021. "Development of the Reduced-Scale Vehicle Model for the Dynamic Characteristic Analysis of the Hyperloop," Energies, MDPI, vol. 14(13), pages 1-13, June.
    12. Scarpellini, S. & Valero, A. & Llera, E. & Aranda, A., 2013. "Multicriteria analysis for the assessment of energy innovations in the transport sector," Energy, Elsevier, vol. 57(C), pages 160-168.
    13. Zhiwei Zhou & Chao Xia & Xizhuang Shan & Zhigang Yang, 2022. "Numerical Study on the Aerodynamics of the Evacuated Tube Transportation System from Subsonic to Supersonic," Energies, MDPI, vol. 15(9), pages 1-19, April.
    14. Bian, Jiang & Cao, Xuewen & Teng, Lin & Sun, Yuan & Gao, Song, 2019. "Effects of inlet parameters on the supersonic condensation and swirling characteristics of binary natural gas mixture," Energy, Elsevier, vol. 188(C).
    15. Seung Il Baek & Jaiyoung Ryu & Joon Ahn, 2021. "Large Eddy Simulation of Film Cooling with Forward Expansion Hole: Comparative Study with LES and RANS Simulations," Energies, MDPI, vol. 14(8), pages 1-19, April.
    16. Kang, Liujiang & Sun, Huijun & Wu, Jianjun & Gao, Ziyou, 2020. "Last train station-skipping, transfer-accessible and energy-efficient scheduling in subway networks," Energy, Elsevier, vol. 206(C).
    17. Ll Macia & R. Castilla & P. J. Gamez-Montero & S. Camacho & E. Codina, 2019. "Numerical Simulation of a Supersonic Ejector for Vacuum Generation with Explicit and Implicit Solver in Openfoam," Energies, MDPI, vol. 12(18), pages 1-17, September.
    18. Aditya Bose & Vimal K. Viswanathan, 2021. "Mitigating the Piston Effect in High-Speed Hyperloop Transportation: A Study on the Use of Aerofoils," Energies, MDPI, vol. 14(2), pages 1-18, January.
    19. Barone, Giovanni & Buonomano, Annamaria & Forzano, Cesare & Palombo, Adolfo, 2020. "Enhancing trains envelope – heating, ventilation, and air conditioning systems: A new dynamic simulation approach for energy, economic, environmental impact and thermal comfort analyses," Energy, Elsevier, vol. 204(C).
    20. Wang, Kai & Wang, Lei & Gao, Rui, 2023. "An extended mechanism model of gaseous ejectors," Energy, Elsevier, vol. 264(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:237:y:2021:i:c:s0360544221016753. 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.