IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v162y2018icp1205-1222.html
   My bibliography  Save this article

New method for mapping radial turbines exposed to pulsating flows

Author

Listed:
  • Liu, Zheng
  • Copeland, Colin

Abstract

In this paper, a new method for mapping radial turbines will be demonstrated and shown to be superior to the standard approach typical to gas-stand laboratories. This is especially true in situations where the turbine is exposed to unsteady flow as is the case in the turbocharger. In order to generate realistic pulsating flows in a laboratory environment, a pulsation generator, including a cylinder head of three cylinders, was designed in the University of Bath.

Suggested Citation

  • Liu, Zheng & Copeland, Colin, 2018. "New method for mapping radial turbines exposed to pulsating flows," Energy, Elsevier, vol. 162(C), pages 1205-1222.
    • Handle: RePEc:eee:energy:v:162:y:2018:i:c:p:1205-1222
    DOI: 10.1016/j.energy.2018.08.107
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218316438
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.08.107?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. Galindo, J. & Fajardo, P. & Navarro, R. & García-Cuevas, L.M., 2013. "Characterization of a radial turbocharger turbine in pulsating flow by means of CFD and its application to engine modeling," Applied Energy, Elsevier, vol. 103(C), pages 116-127.
    2. Zhu, Sipeng & Deng, Kangyao & Liu, Sheng, 2015. "Modeling and extrapolating mass flow characteristics of a radial turbocharger turbine," Energy, Elsevier, vol. 87(C), pages 628-637.
    3. Da Lio, Luca & Manente, Giovanni & Lazzaretto, Andrea, 2017. "A mean-line model to predict the design efficiency of radial inflow turbines in organic Rankine cycle (ORC) systems," Applied Energy, Elsevier, vol. 205(C), pages 187-209.
    4. Fang, Xiande & Dai, Qiumin & Yin, Yanxin & Xu, Yu, 2010. "A compact and accurate empirical model for turbine mass flow characteristics," Energy, Elsevier, vol. 35(12), pages 4819-4823.
    5. Kiyarash Rahbar & Saad Mahmoud & Raya K. Al-Dadah, 2016. "Mean-line modeling and CFD analysis of a miniature radial turbine for distributed power generation systems," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 11(2), pages 157-168.
    6. Serrano, José Ramón & Olmeda, Pablo & Tiseira, Andrés & García-Cuevas, Luis Miguel & Lefebvre, Alain, 2013. "Theoretical and experimental study of mechanical losses in automotive turbochargers," Energy, Elsevier, vol. 55(C), pages 888-898.
    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. Vijayakumar, R. & Akehurst, S. & Liu, Z. & Reyes-Belmonte, M.A. & Brace, C.J. & Liu, D. & Copeland, C., 2019. "Design and testing a bespoke cylinder head pulsating flow generator for a turbocharger gas stand," Energy, Elsevier, vol. 189(C).
    2. Xue, Yingxian & Yang, Mingyang & Pan, Lei & Deng, Kangyao & Wu, Xintao & Wang, Cuicui, 2021. "Gasdynamic behaviours of a radial turbine with pulsating incoming flow," Energy, Elsevier, vol. 218(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. Tregenza, Owen & Olshina, Noam & Hield, Peter & Manzie, Chris & Hulston, Chris, 2022. "A comparison of turbine mass flow models based on pragmatic identification data sets for turbogenerator model development," Energy, Elsevier, vol. 247(C).
    2. Kim, Jeong Ho & Kim, Tong Seop, 2019. "A new approach to generate turbine map data in the sub-idle operation regime of gas turbines," Energy, Elsevier, vol. 173(C), pages 772-784.
    3. Sakellaridis, Nikolaos F. & Raptotasios, Spyridon I. & Antonopoulos, Antonis K. & Mavropoulos, Georgios C. & Hountalas, Dimitrios T., 2015. "Development and validation of a new turbocharger simulation methodology for marine two stroke diesel engine modelling and diagnostic applications," Energy, Elsevier, vol. 91(C), pages 952-966.
    4. Salameh, Georges & Chesse, Pascal & Chalet, David, 2019. "Mass flow extrapolation model for automotive turbine and confrontation to experiments," Energy, Elsevier, vol. 167(C), pages 325-336.
    5. Deligant, Michael & Sauret, Emilie & Danel, Quentin & Bakir, Farid, 2020. "Performance assessment of a standard radial turbine as turbo expander for an adapted solar concentration ORC," Renewable Energy, Elsevier, vol. 147(P3), pages 2833-2841.
    6. Serrano, José Ramón & Navarro, Roberto & García-Cuevas, Luis Miguel & Inhestern, Lukas Benjamin, 2018. "Turbocharger turbine rotor tip leakage loss and mass flow model valid up to extreme off-design conditions with high blade to jet speed ratio," Energy, Elsevier, vol. 147(C), pages 1299-1310.
    7. Tang, Yuanyuan & Zhang, Jundong & Gan, Huibing & Jia, Baozhu & Xia, Yu, 2017. "Development of a real-time two-stroke marine diesel engine model with in-cylinder pressure prediction capability," Applied Energy, Elsevier, vol. 194(C), pages 55-70.
    8. Famiglietti, Antonio & Lecuona, Antonio & Ibarra, Mercedes & Roa, Javier, 2021. "Turbo-assisted direct solar air heater for medium temperature industrial processes using Linear Fresnel Collectors. Assessment on daily and yearly basis," Energy, Elsevier, vol. 223(C).
    9. José Galindo & Andrés Tiseira & Roberto Navarro & Lukas Benjamin Inhestern & Juan David Echavarría, 2022. "Numerical Analysis of the Effects of Different Rotor Tip Gaps in a Radial Turbine Operating at High Pressure Ratios Reaching Choked Flow," Energies, MDPI, vol. 15(24), pages 1-30, December.
    10. Serrano, José Ramón & Arnau, Francisco José & García-Cuevas, Luis Miguel & Gutiérrez, Fabio Alberto, 2022. "Thermo-economic analysis of an oxygen production plant powered by an innovative energy recovery system," Energy, Elsevier, vol. 255(C).
    11. Kadhim, Hakim T. & Rona, Aldo, 2018. "Off-design performance of a liquefied natural gas plant with an axial turbine of novel endwall design," Applied Energy, Elsevier, vol. 222(C), pages 830-839.
    12. Ma, Zetai & Xie, Wenping & Xiang, Hanchun & Zhang, Kun & Yang, Mingyang & Deng, Kangyao, 2023. "Thermodynamic analysis of power recovery of marine diesel engine under high exhaust backpressure by additional electrically driven compressor," Energy, Elsevier, vol. 266(C).
    13. Zhao, Rongchao & Li, Weihua & Zhuge, Weilin & Zhang, Yangjun & Yin, Yong & Wu, Yonghui, 2018. "Characterization of two-stage turbine system under steady and pulsating flow conditions," Energy, Elsevier, vol. 148(C), pages 407-423.
    14. Hagen, Brede A.L. & Agromayor, Roberto & Nekså, Petter, 2021. "Equation-oriented methods for design optimization and performance analysis of radial inflow turbines," Energy, Elsevier, vol. 237(C).
    15. Serrano, José Ramón & Olmeda, Pablo & Tiseira, Andrés & García-Cuevas, Luis Miguel & Lefebvre, Alain, 2013. "Theoretical and experimental study of mechanical losses in automotive turbochargers," Energy, Elsevier, vol. 55(C), pages 888-898.
    16. Danieli, Piero & Rech, Sergio & Lazzaretto, Andrea, 2019. "Supercritical CO2 and air Brayton-Joule versus ORC systems for heat recovery from glass furnaces: Performance and economic evaluation," Energy, Elsevier, vol. 168(C), pages 295-309.
    17. Marcin Jankowski & Aleksandra Borsukiewicz, 2020. "A Novel Exergy Indicator for Maximizing Energy Utilization in Low-Temperature ORC," Energies, MDPI, vol. 13(7), pages 1-20, April.
    18. Zhu, Sipeng & Deng, Kangyao & Liu, Sheng, 2015. "Modeling and extrapolating mass flow characteristics of a radial turbocharger turbine," Energy, Elsevier, vol. 87(C), pages 628-637.
    19. Afrouzi, Hamid Hassanzadeh & Ahmadian, Majid & Moshfegh, Abouzar & Toghraie, Davood & Javadzadegan, Ashkan, 2019. "Statistical analysis of pulsating non-Newtonian flow in a corrugated channel using Lattice-Boltzmann method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    20. Serrano, José Ramón & Olmeda, Pablo & Arnau, Francisco J. & Dombrovsky, Artem & Smith, Les, 2015. "Turbocharger heat transfer and mechanical losses influence in predicting engines performance by using one-dimensional simulation codes," Energy, Elsevier, vol. 86(C), pages 204-218.

    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:162:y:2018:i:c:p:1205-1222. 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.