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Analysis of Radial Inflow Turbine Losses Operating with Supercritical Carbon Dioxide

Author

Listed:
  • Antti Uusitalo

    (School of Energy Systems, LUT University, 53850 Lappeenranta, Finland)

  • Aki Grönman

    (School of Energy Systems, LUT University, 53850 Lappeenranta, Finland)

Abstract
The losses of supercritical CO 2 radial turbines with design power scales of about 1 MW were investigated by using computational fluid dynamic simulations. The simulation results were compared with loss predictions from enthalpy loss correlations. The aim of the study was to investigate how the expansion losses are divided between the stator and rotor as well as to compare the loss predictions obtained with the different methods for turbine designs with varying specific speeds. It was observed that a reasonably good agreement between the 1D loss correlations and computational fluid dynamics results can be obtained by using a suitable set of loss correlations. The use of different passage loss models led to high deviations in the predicted rotor losses, especially with turbine designs having the highest or lowest specific speeds. The best agreement in respect to CFD results with the average deviation of less than 10% was found when using the CETI passage loss model. In addition, the other investigated passage loss models provided relatively good agreement for some of the analyzed turbine designs, but the deviations were higher when considering the full specific speed range that was investigated. The stator loss analysis revealed that despite some differences in the predicted losses between the methods, a similar trend in the development of the losses was observed as the turbine specific speed was changed.

Suggested Citation

  • Antti Uusitalo & Aki Grönman, 2021. "Analysis of Radial Inflow Turbine Losses Operating with Supercritical Carbon Dioxide," Energies, MDPI, vol. 14(12), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3561-:d:575315
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    References listed on IDEAS

    as
    1. 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).
    2. Son, Seongmin & Jeong, Yongju & Cho, Seong Kuk & Lee, Jeong Ik, 2020. "Development of supercritical CO2 turbomachinery off-design model using 1D mean-line method and Deep Neural Network," Applied Energy, Elsevier, vol. 263(C).
    3. Uusitalo, Antti & Ameli, Alireza & Turunen-Saaresti, Teemu, 2019. "Thermodynamic and turbomachinery design analysis of supercritical Brayton cycles for exhaust gas heat recovery," Energy, Elsevier, vol. 167(C), pages 60-79.
    4. Sarkar, Jahar, 2009. "Second law analysis of supercritical CO2 recompression Brayton cycle," Energy, Elsevier, vol. 34(9), pages 1172-1178.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    2. 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).
    3. Moradi, Ramin & Cioccolanti, Luca & Del Zotto, Luca & Renzi, Massimiliano, 2023. "Comparative sensitivity analysis of micro-scale gas turbine and supercritical CO2 systems with bottoming organic Rankine cycles fed by the biomass gasification for decentralized trigeneration," Energy, Elsevier, vol. 266(C).
    4. 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).

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