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Assessment of subsonic turbine cascade flow field and numerical viscous loss using the power-loss method

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  • Wei, Wei
  • Li, Xuesong
  • Ren, Xiaodong
  • Gu, Chunwei
  • Liu, Qinglong

Abstract

Accurate evaluation of flow field loss is a critical step in optimizing the design of high-efficiency fluid machinery. However, local loss evaluation methods may underestimate flow loss due to the influence of numerical viscosity. This study employs the local power-loss method to perform a comparative analysis of subsonic turbine cascade flow fields simulated using RANS and LES approaches with five different discretization schemes of convection terms. The study investigates in detail the impact of numerical viscosity on cumulated power loss in the flow field and differences in vortex shedding simulations downstream of the cascade trailing edge. It demonstrates that the power-loss method effectively captures the impact of numerical viscosity and, for the first time, quantitatively separates the contributions of numerical and physical viscosity to total loss. The LES data of turbulent wakes reveals the influence of numerical viscosity on wake turbulence decay and microstructures. This study provides technical insights for optimizing thermodynamic processes of energy plants, reducing different types of flow losses, and selecting and developing new convective discretization schemes.

Suggested Citation

  • Wei, Wei & Li, Xuesong & Ren, Xiaodong & Gu, Chunwei & Liu, Qinglong, 2025. "Assessment of subsonic turbine cascade flow field and numerical viscous loss using the power-loss method," Energy, Elsevier, vol. 335(C).
  • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225040034
    DOI: 10.1016/j.energy.2025.138361
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    References listed on IDEAS

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    1. Yu, An & Tang, Yibo & Tang, Qinghong & Cai, Jianguo & Zhao, Lei & Ge, Xinfeng, 2022. "Energy analysis of Francis turbine for various mass flow rate conditions based on entropy production theory," Renewable Energy, Elsevier, vol. 183(C), pages 447-458.
    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. Qin, Yonglin & Li, Deyou & Wang, Hongjie & Liu, Zhansheng & Wei, Xianzhu & Wang, Xiaohang, 2022. "Multi-objective optimization design on high pressure side of a pump-turbine runner with high efficiency," Renewable Energy, Elsevier, vol. 190(C), pages 103-120.
    4. Sciacovelli, A. & Verda, V. & Sciubba, E., 2015. "Entropy generation analysis as a design tool—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1167-1181.
    5. Qi, Bing & Zhang, Desheng & Geng, Linlin & Zhao, Ruijie & van Esch, Bart P.M., 2022. "Numerical and experimental investigations on inflow loss in the energy recovery turbines with back-curved and front-curved impeller based on the entropy generation theory," Energy, Elsevier, vol. 239(PE).
    6. 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).
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