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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
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    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
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