IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v268y2023ics0360544222034508.html
   My bibliography  Save this article

Investigation of non-ideal gas flows around a circular cylinder

Author

Listed:
  • Matar, Camille
  • Cinnella, Paola
  • Gloerfelt, Xavier
  • Reinker, Felix
  • aus der Wiesche, Stefan

Abstract

The aerodynamic performance of a cylinder Pitot probe for velocity measurements in compressible non-ideal gas flows, such as those encountered in Organic Rankine Cycle (ORC) turbines, is investigated by means of Computational Fluid Dynamics. Numerical simulations are performed at subsonic and transonic conditions, and freestream Reynolds numbers are in the cylinder critical regime. The working fluid is the organic vapour Novec™ 649. Air flow simulations at similar inlet conditions are reported for comparison. Steady and unsteady RANS solutions are computed with the Spalart–Allmaras turbulence model. The results are assessed against experimental measurements collected in a wind tunnel. URANS is in good agreement with experimental data for all considered conditions, and delivers reasonably accurate estimations of the cylinder back pressure. Using a dense gas leads to a lower minimum pressure coefficient compared to air, alongside a reduced maximum Mach number due to the non-ideal speed of sound behaviour. In the experimentally studied range of compressibility factors and Mach numbers, discrepancies observed with respect to air flow are mostly an effect of the different isentropic exponents. In the transonic regime, shock waves causing boundary layer separation are weakened in the dense gas, but back pressure is also decreased, contributing to rising form drag.

Suggested Citation

  • Matar, Camille & Cinnella, Paola & Gloerfelt, Xavier & Reinker, Felix & aus der Wiesche, Stefan, 2023. "Investigation of non-ideal gas flows around a circular cylinder," Energy, Elsevier, vol. 268(C).
    • Handle: RePEc:eee:energy:v:268:y:2023:i:c:s0360544222034508
    DOI: 10.1016/j.energy.2022.126563
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222034508
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.126563?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. Otero R, Gustavo J. & Smit, Stephan H.H.J. & Pecnik, Rene, 2021. "Three-dimensional unsteady stator-rotor interactions in high-expansion organic Rankine cycle turbines," Energy, Elsevier, vol. 217(C).
    2. Cammi, Giorgia & Conti, Camilla Cecilia & Spinelli, Andrea & Guardone, Alberto, 2021. "Experimental characterization of nozzle flow expansions of siloxane MM for ORC turbines applications," Energy, Elsevier, vol. 218(C).
    3. Razaaly, Nassim & Persico, Giacomo & Congedo, Pietro Marco, 2019. "Impact of geometric, operational, and model uncertainties on the non-ideal flow through a supersonic ORC turbine cascade," Energy, Elsevier, vol. 169(C), pages 213-227.
    4. Jean-Christophe Hoarau & Paola Cinnella & Xavier Gloerfelt, 2021. "Large Eddy Simulations of Strongly Non-Ideal Compressible Flows through a Transonic Cascade," Energies, MDPI, vol. 14(3), pages 1-20, February.
    5. Anand, Nitish & Colonna, Piero & Pini, Matteo, 2020. "Design guidelines for supersonic stators operating with fluids made of complex molecules," Energy, Elsevier, vol. 203(C).
    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. Tang, Bo & Zhang, Longbin & Liu, Siyu & Bai, Xiaochun & Chen, Guoqing & Shang, Zhiyu, 2024. "Calculation of noise field in main transformer room of indoor substation based on thermal-acoustic coupling," Energy, Elsevier, vol. 297(C).

    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. Li, Jinxing & Liu, Tianyuan & Zhu, Guangya & Li, Yunzhu & Xie, Yonghui, 2023. "Uncertainty quantification and aerodynamic robust optimization of turbomachinery based on graph learning methods," Energy, Elsevier, vol. 273(C).
    2. Lan, Song & Li, Qingshan & Guo, Xin & Wang, Shukun & Chen, Rui, 2023. "Fuel saving potential analysis of bifunctional vehicular waste heat recovery system using thermoelectric generator and organic Rankine cycle," Energy, Elsevier, vol. 263(PB).
    3. Choi, Seungyeong & Bang, Minho & Park, Hee Seung & Heo, Jeonghun & Cho, Myung Hwan & Cho, Hyung Hee, 2024. "Machine learning-assisted effective thermal management of rotor-stator systems," Energy, Elsevier, vol. 299(C).
    4. Zou, Aihong & Chassaing, Jean-Camille & Persky, Rodney & Gu, YuanTong & Sauret, Emilie, 2019. "Uncertainty Quantification in high-density fluid radial-inflow turbines for renewable low-grade temperature cycles," Applied Energy, Elsevier, vol. 241(C), pages 313-330.
    5. McKeand, Austin M. & Gorguluarslan, Recep M. & Choi, Seung-Kyum, 2021. "Stochastic analysis and validation under aleatory and epistemic uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    6. Serafino, Aldo & Obert, Benoit & Cinnella, Paola, 2023. "Multi-fidelity robust design optimization of an ORC turbine for high temperature waste heat recovery," Energy, Elsevier, vol. 269(C).
    7. Wang, Xiaojing & Zou, Zhengping, 2019. "Uncertainty analysis of impact of geometric variations on turbine blade performance," Energy, Elsevier, vol. 176(C), pages 67-80.
    8. Andrea Zini & Luca Socci & Guglielmo Vaccaro & Andrea Rocchetti & Lorenzo Talluri, 2024. "Working Fluid Selection for High-Temperature Heat Pumps: A Comprehensive Evaluation," Energies, MDPI, vol. 17(7), pages 1-24, March.

    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:268:y:2023:i:c:s0360544222034508. 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.