IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i14p3775-d1703180.html
   My bibliography  Save this article

Turbine Performance of Variable Geometry Turbocharger Applied to Small Gasoline Engine Considering Heat Transfer Effect

Author

Listed:
  • Jeong-Eui Yun

    (Department Mechanical Engineering, Kangwon National University, Samcheok-si 25913, Gangwon-do, Republic of Korea)

  • Joon-Young Shin

    (Department of Mechanical Vehicle Engineering, Kangwon National University, Samcheok-si 25913, Gangwon-do, Republic of Korea)

  • Cartur Harsito

    (Department of Mechanical Computer Industrial Management Engineering, Kangwon National University, Samcheok-si 25913, Gangwon-do, Republic of Korea)

  • Gi-Yong Kim

    (R&D Center, Keyyang Precision Co., Ltd., Gimcheon-si 39537, Geyeongsangbuk-do, Republic of Korea)

  • Hyung-Jun Kim

    (R&D Center, Keyyang Precision Co., Ltd., Gimcheon-si 39537, Geyeongsangbuk-do, Republic of Korea)

Abstract

The performance of the turbine in a variable geometry turbocharger (VGT) may be affected by changes in the vane operating angle and heat transfer loss during operation. However, existing studies have been conducted under the assumption of an adiabatic process. In this study, we investigated the effect of heat transfer between all working fluids and a VGT structure when using computational fluid dynamics to evaluate turbine performance. Through this study, we confirmed that when heat transfer was considered, the turbine efficiency decreased by approximately 2–6%, depending on the vane position angle change, compared to when heat transfer was not considered. In addition, the total entropy production ratio, which represented the flow loss in the turbine during operation, increased by approximately 0.2–0.5% when heat transfer was considered. In conclusion, the findings confirmed that the heat transfer phenomenon directly affected the efficiency and flow loss during the turbine performance evaluation process.

Suggested Citation

  • Jeong-Eui Yun & Joon-Young Shin & Cartur Harsito & Gi-Yong Kim & Hyung-Jun Kim, 2025. "Turbine Performance of Variable Geometry Turbocharger Applied to Small Gasoline Engine Considering Heat Transfer Effect," Energies, MDPI, vol. 18(14), pages 1-17, July.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:14:p:3775-:d:1703180
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/14/3775/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/14/3775/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Serrano, José Ramón & Piqueras, Pedro & De la Morena, Joaquín & Gómez-Vilanova, Alejandro & Guilain, Stéphane, 2021. "Methodological analysis of variable geometry turbine technology impact on the performance of highly downsized spark-ignition engines," Energy, Elsevier, vol. 215(PB).
    2. Zhou, Ling & Hang, Jianwei & Bai, Ling & Krzemianowski, Zbigniew & El-Emam, Mahmoud A. & Yasser, Eman & Agarwal, Ramesh, 2022. "Application of entropy production theory for energy losses and other investigation in pumps and turbines: A review," Applied Energy, Elsevier, vol. 318(C).
    3. Wang, Zhiqi & Xie, Baoqi & Xia, Xiaoxia & Luo, Lan & Yang, Huya & Li, Xin, 2023. "Entropy production analysis of a radial inflow turbine with variable inlet guide vane for ORC application," Energy, Elsevier, vol. 265(C).
    4. Feneley, Adam J. & Pesiridis, Apostolos & Andwari, Amin Mahmoudzadeh, 2017. "Variable Geometry Turbocharger Technologies for Exhaust Energy Recovery and Boosting‐A Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 959-975.
    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. Li, Zhenggui & Xu, Lixin & Wang, Dong & Li, Deyou & Li, Wangxu, 2023. "Simulation analysis of energy characteristics of flow field in the transition process of pump condition outage of pump-turbine," Renewable Energy, Elsevier, vol. 219(P1).
    2. Galindo, José & Serrano, José Ramón & De la Morena, Joaquín & Gómez-Vilanova, Alejandro, 2022. "Physical-based variable geometry turbines predictive control to enhance new hybrid powertrains’ transient response," Energy, Elsevier, vol. 261(PB).
    3. Tianding Han & Qifei Li & Licheng Feng & Xiangyu Chen & Feng Zhou & Zhenggui Li, 2024. "Impact of Outlet Pressure on Internal Flow Characteristics and Energy Loss in Pump-Turbine System Under Pump Operation Conditions," Energies, MDPI, vol. 18(1), pages 1-25, December.
    4. Wan, Dehai & Wang, Jianjun, 2025. "Numerical study of energy losses in the energy conversion process of a cold model flue gas turbine based on entropy production method," Energy, Elsevier, vol. 314(C).
    5. Serrano, José Ramón & Piqueras, Pedro & De la Morena, Joaquín & Gómez-Vilanova, Alejandro & Guilain, Stéphane, 2021. "Methodological analysis of variable geometry turbine technology impact on the performance of highly downsized spark-ignition engines," Energy, Elsevier, vol. 215(PB).
    6. Pan, Qiang & Wu, Yuehu & Zhang, Desheng & Shi, Weidong & van Esch, B.P.M., 2024. "Coordination of energy loss and fish friendliness for a low-head tubular-pump blade based on a multi-objective optimization model," Renewable Energy, Elsevier, vol. 237(PB).
    7. Chen, Xiaoping & Zhang, Zhiguo & Huang, Jianmin & Zhou, Xiaojie & Zhu, Zuchao, 2024. "Numerical investigation on energy change field in a centrifugal pump as turbine under different flow rates," Renewable Energy, Elsevier, vol. 230(C).
    8. Wang, Zhe & Cao, Menglong & Tang, Haobo & Ji, Yulong & Han, Fenghui, 2024. "A global heat flow topology for revealing the synergistic effects of heat transfer and thermal power conversion in large scale systems: Methodology and case study," Energy, Elsevier, vol. 290(C).
    9. Salvo, Orlando de & Vaz de Almeida, Flávio G., 2019. "Influence of technologies on energy efficiency results of official Brazilian tests of vehicle energy consumption," Applied Energy, Elsevier, vol. 241(C), pages 98-112.
    10. Yang, Gang & Shen, Xi & Shi, Lei & Zhang, Desheng & Zhao, Xutao & (Bart) van Esch, B.P.M., 2023. "Numerical investigation of hump characteristic improvement in a large vertical centrifugal pump with special emphasis on energy loss mechanism," Energy, Elsevier, vol. 273(C).
    11. Wenyu Gu & Wanhua Su, 2023. "Study on the Effects of Exhaust Gas Recirculation and Fuel Injection Strategy on Transient Process Performance of Diesel Engines," Sustainability, MDPI, vol. 15(16), pages 1-21, August.
    12. Jin, Faye & Luo, Yongyao & Zhao, Qiang & Cao, Jiali & Wang, Zhengwei, 2023. "Energy loss analysis of transition simulation for a prototype reversible pump turbine during load rejection process," Energy, Elsevier, vol. 284(C).
    13. Anna Minasyan & Jordan Bradshaw & Apostolos Pesyridis, 2018. "Design and Performance Evaluation of an Axial Inflow Turbocharger Turbine," Energies, MDPI, vol. 11(2), pages 1-26, January.
    14. Li, Wei & Yang, Qiaoyue & Yang, Yi & Ji, Leilei & Shi, Weidong & Agarwal, Ramesh, 2024. "Optimization of pump transient energy characteristics based on response surface optimization model and computational fluid dynamics," Applied Energy, Elsevier, vol. 362(C).
    15. Yangyang Wei & Yuhui Shi & Weidong Shi & Bo Pan, 2022. "Numerical Analysis and Experimental Study of Unsteady Flow Characteristics in an Ultra-Low Specific Speed Centrifugal Pump," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    16. Chen, Guisheng & Sun, Min & Li, Junda & Wang, Jiguang & Shen, Yinggang & Liang, Daping & Xiao, Renxin, 2024. "Study on high-altitude ceiling strategy of compression ignition aviation piston engines based on BP-NSGA II algorithm optimization," Energy, Elsevier, vol. 294(C).
    17. Jiao, Weixuan & Chen, Hongjun & Cheng, Li & Zhang, Bowen & Gu, Yangdong, 2023. "Energy loss and pressure fluctuation characteristics of coastal two-way channel pumping stations under the ultra-low head condition," Energy, Elsevier, vol. 278(PA).
    18. Tang, Qinghong & Yu, An & Wang, Yongshuai & Tang, Yibo & Wang, Yifu, 2023. "Numerical analysis of vorticity transport and energy dissipation of inner-blade vortex in Francis turbine," Renewable Energy, Elsevier, vol. 203(C), pages 634-648.
    19. Chen, Weisheng & Li, Yaojun & Liu, Zhuqing & Hong, Yiping, 2023. "Understanding of energy conversion and losses in a centrifugal pump impeller," Energy, Elsevier, vol. 263(PB).
    20. Bo Hu & Jiaxi Li & Shuang Li & Jie Yang, 2019. "A Hybrid End-to-End Control Strategy Combining Dueling Deep Q-network and PID for Transient Boost Control of a Diesel Engine with Variable Geometry Turbocharger and Cooled EGR," Energies, MDPI, vol. 12(19), pages 1-15, September.

    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:18:y:2025:i:14:p:3775-:d:1703180. 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.