IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i17p6240-d898971.html
   My bibliography  Save this article

Preliminary Design and Blade Optimization of a Two-Stage Radial Outflow Turbine for a CO 2 Power Cycle

Author

Listed:
  • Jun-Seong Kim

    (Division of Marine System Engineering, Korea Maritime and Ocean University, 727 Taejong-ro, Yeongdo-gu, Busan 49112, Korea)

  • You-Taek Kim

    (Division of Marine System Engineering, Korea Maritime and Ocean University, 727 Taejong-ro, Yeongdo-gu, Busan 49112, Korea)

  • Do-Yeop Kim

    (Division of Marine System Engineering, Korea Maritime and Ocean University, 727 Taejong-ro, Yeongdo-gu, Busan 49112, Korea)

Abstract

Recently, the CO 2 power cycle has attracted attention because of tightening environmental regulations. The turbine is a factor that greatly affects the efficiency of the cycle. The radial outflow turbine is a turbomachine with the various advantages of an axial flow turbine and a radial inflow turbine, but the design theory for the turbine is uncertain. In this study, a preliminary design algorithm for a radial outflow turbine with a multi-stage configuration is presented. To verify the preliminary design algorithm, a preliminary design for a two-stage radial outflow turbine for a CO 2 power cycle was carried out, and a computational fluid dynamic analysis was performed. Consequently, values close to the target performance were obtained, but blade optimization was performed to obtain more satisfactory results. The final geometry of the radial outflow turbine was obtained through optimization considering the blade exit angle related to the deviation angle, blade maximum thickness-true chord ratio, and incidence angle. In the final geometry, the error rates of power ( W ˙ ), efficiency ( η t s ), and pressure ratio ( P R t s ) between target performance and computational fluid dynamic results were improved to 5.0%, 4.8%, and 1.8%, respectively. The performance and flow characteristics of the initial and final geometries were analyzed.

Suggested Citation

  • Jun-Seong Kim & You-Taek Kim & Do-Yeop Kim, 2022. "Preliminary Design and Blade Optimization of a Two-Stage Radial Outflow Turbine for a CO 2 Power Cycle," Energies, MDPI, vol. 15(17), pages 1-22, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6240-:d:898971
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/17/6240/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/17/6240/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Song, Yanping & Sun, Xiaojing & Huang, Diangui, 2017. "Preliminary design and performance analysis of a centrifugal turbine for Organic Rankine Cycle (ORC) applications," Energy, Elsevier, vol. 140(P1), pages 1239-1251.
    2. Al Jubori, Ayad M. & Al-Dadah, Raya K. & Mahmoud, Saad & Daabo, Ahmed, 2017. "Modelling and parametric analysis of small-scale axial and radial-outflow turbines for Organic Rankine Cycle applications," Applied Energy, Elsevier, vol. 190(C), pages 981-996.
    3. Jun-Seong Kim & Do-Yeop Kim, 2020. "Preliminary Design and Off-Design Analysis of a Radial Outflow Turbine for Organic Rankine Cycles," Energies, MDPI, vol. 13(8), pages 1-18, April.
    4. Uusitalo, Antti & Turunen-Saaresti, Teemu & Grönman, Aki, 2021. "Design and loss analysis of radial turbines for supercritical CO2 Brayton cycles," Energy, Elsevier, vol. 230(C).
    5. Persico, Giacomo & Romei, Alessandro & Dossena, Vincenzo & Gaetani, Paolo, 2018. "Impact of shape-optimization on the unsteady aerodynamics and performance of a centrifugal turbine for ORC applications," Energy, Elsevier, vol. 165(PA), pages 2-11.
    6. Sauret, Emilie & Gu, Yuantong, 2014. "Three-dimensional off-design numerical analysis of an organic Rankine cycle radial-inflow turbine," Applied Energy, Elsevier, vol. 135(C), pages 202-211.
    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. Jun-Seong Kim & Do-Yeop Kim, 2020. "Preliminary Design and Off-Design Analysis of a Radial Outflow Turbine for Organic Rankine Cycles," Energies, MDPI, vol. 13(8), pages 1-18, April.
    2. Peng Song & Jinju Sun & Shengyuan Wang & Xuesong Wang, 2022. "Multipoint Design Optimization of a Radial-Outflow Turbine for Kalina Cycle System Considering Flexible Operating Conditions and Variable Ammonia-Water Mass Fraction," Energies, MDPI, vol. 15(22), pages 1-19, November.
    3. 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).
    4. Yao, Yubo & Fang, Song & Zhu, Shaolong & Xu, Zhuoren & Zhang, Hanwei & Gan, Haoran & Iqbal, Qasir & Qiu, Limin & Wang, Kai, 2024. "Optimal design and tip leakage flow characteristics analysis of radial inflow turbine used in organic Rankine and vapor compression refrigeration system," Energy, Elsevier, vol. 301(C).
    5. Peng Li & Zhonghe Han & Xiaoqiang Jia & Zhongkai Mei & Xu Han, 2018. "Analysis of the Effects of Blade Installation Angle and Blade Number on Radial-Inflow Turbine Stator Flow Performance," Energies, MDPI, vol. 11(9), pages 1-15, August.
    6. Fuhaid Alshammari & Apostolos Pesyridis & Mohamed Elashmawy, 2020. "Generation of 3D Turbine Blades for Automotive Organic Rankine Cycles: Mathematical and Computational Perspectives," Mathematics, MDPI, vol. 9(1), pages 1-30, December.
    7. Ningjian Peng & Enhua Wang & Hongguang Zhang, 2021. "Preliminary Design of an Axial-Flow Turbine for Small-Scale Supercritical Organic Rankine Cycle," Energies, MDPI, vol. 14(17), pages 1-20, August.
    8. 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.
    9. 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.
    10. Song, Yanping & Sun, Xiaojing & Huang, Diangui, 2017. "Preliminary design and performance analysis of a centrifugal turbine for Organic Rankine Cycle (ORC) applications," Energy, Elsevier, vol. 140(P1), pages 1239-1251.
    11. Adams, Benjamin M. & Kuehn, Thomas H. & Bielicki, Jeffrey M. & Randolph, Jimmy B. & Saar, Martin O., 2015. "A comparison of electric power output of CO2 Plume Geothermal (CPG) and brine geothermal systems for varying reservoir conditions," Applied Energy, Elsevier, vol. 140(C), pages 365-377.
    12. He, Jintao & Shi, Lingfeng & Tian, Hua & Wang, Xuan & Zhang, Yonghao & Zhang, Meiyan & Yao, Yu & Cai, Jinwen & Shu, Gequn, 2022. "Control strategy for a CO2-based combined cooling and power generation system based on heat source and cold sink fluctuations," Energy, Elsevier, vol. 257(C).
    13. He, Yang & MengWang, & Chen, Haisheng & Xu, Yujie & Deng, Jianqiang, 2021. "Thermodynamic research on compressed air energy storage system with turbines under sliding pressure operation," Energy, Elsevier, vol. 222(C).
    14. 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.
    15. Zhou, Jian & Zhang, Wei, 2023. "Coal consumption prediction in thermal power units: A feature construction and selection method," Energy, Elsevier, vol. 273(C).
    16. Wang, Zhiqi & Xie, Baoqi & Xia, Xiaoxia & Yang, Huya & Zuo, Qingsong & Liu, Zhipeng, 2022. "Energy loss of radial inflow turbine for organic Rankine cycle using mixture based on entropy production method," Energy, Elsevier, vol. 245(C).
    17. Zhang, Chengbin & Wu, Zhe & Wang, Jiadian & Ding, Ce & Gao, Tieyu & Chen, Yongping, 2023. "Thermodynamic performance of a radial-inflow turbine for ocean thermal energy conversion using ammonia," Renewable Energy, Elsevier, vol. 202(C), pages 907-920.
    18. Schifflechner, Christopher & de Reus, Jasper & Schuster, Sebastian & Corpancho Villasana, Andreas & Brillert, Dieter & Saar, Martin O. & Spliethoff, Hartmut, 2024. "Paving the way for CO2-Plume Geothermal (CPG) systems: A perspective on the CO2 surface equipment," Energy, Elsevier, vol. 305(C).
    19. Wang, Yuqi & Du, Qiuwan & Li, Yunzhu & Zhang, Di & Xie, Yonghui, 2022. "Field reconstruction and off-design performance prediction of turbomachinery in energy systems based on deep learning techniques," Energy, Elsevier, vol. 238(PB).
    20. Witanowski, Ł. & Klonowicz, P. & Lampart, P. & Suchocki, T. & Jędrzejewski, Ł. & Zaniewski, D. & Klimaszewski, P., 2020. "Optimization of an axial turbine for a small scale ORC waste heat recovery system," Energy, Elsevier, vol. 205(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:gam:jeners:v:15:y:2022:i:17:p:6240-:d:898971. 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.