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Clocking effect of vaned diffuser on hydraulic performance of high-power pump by using the numerical flow loss visualization method

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  • Gu, Yandong
  • Pei, Ji
  • Yuan, Shouqi
  • Wang, Wenjie
  • Zhang, Fan
  • Wang, Peng
  • Appiah, Desmond
  • Liu, Yong

Abstract

The high-power mechanical pumps used in thermal power plants consume a considerable amount of electrical energy. Thus it is of great importance to improve the efficiency from every potential feature of such pumps. In this study, the clocking position of the pump, defined as the circumferential position of the vaned diffuser relative to the circular casing, is investigated to improve the hydraulic performance. Thereafter, the flow loss visualization method is employed to depict the loss caused by clocking positions with the help of entropy production theory based on computational fluid dynamics (CFD). The numerical results are then validated by experiments. At the design condition, the numerical maximum difference in the hydraulic efficiency is 2.61% while the head of each scheme meets the design requirement. The clocking position influences the total pressure loss coefficient more in the circular casing than other components, and the largest difference in the circular casing is 1.91%. Furthermore, the proven visualization method reveals that the clocking position introduces additional flow losses in the circular casing of the worst scheme, and even increases the loss in the vaned diffuser. This study can also provide a new perspective to investigate the optimal assembly strategy for other hydraulic machinery.

Suggested Citation

  • Gu, Yandong & Pei, Ji & Yuan, Shouqi & Wang, Wenjie & Zhang, Fan & Wang, Peng & Appiah, Desmond & Liu, Yong, 2019. "Clocking effect of vaned diffuser on hydraulic performance of high-power pump by using the numerical flow loss visualization method," Energy, Elsevier, vol. 170(C), pages 986-997.
    • Handle: RePEc:eee:energy:v:170:y:2019:i:c:p:986-997
    DOI: 10.1016/j.energy.2018.12.204
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    References listed on IDEAS

    as
    1. Wang, Zhiyuan & Qian, Zhongdong, 2017. "Effects of concentration and size of silt particles on the performance of a double-suction centrifugal pump," Energy, Elsevier, vol. 123(C), pages 36-46.
    2. Wang, Yi-Fei & Chen, Qun, 2015. "A direct optimal control strategy of variable speed pumps in heat exchanger networks and experimental validations," Energy, Elsevier, vol. 85(C), pages 609-619.
    3. Wang, Tao & Wang, Chuan & Kong, Fanyu & Gou, Qiuqin & Yang, Sunsheng, 2017. "Theoretical, experimental, and numerical study of special impeller used in turbine mode of centrifugal pump as turbine," Energy, Elsevier, vol. 130(C), pages 473-485.
    4. Josifovic, Aleksandar & Roberts, Jennifer J. & Corney, Jonathan & Davies, Bruce & Shipton, Zoe K., 2016. "Reducing the environmental impact of hydraulic fracturing through design optimisation of positive displacement pumps," Energy, Elsevier, vol. 115(P1), pages 1216-1233.
    5. Laskowski, Rafał & Smyk, Adam & Lewandowski, Janusz & Rusowicz, Artur & Grzebielec, Andrzej, 2016. "Selecting the cooling water mass flow rate for a power plant under variable load with entropy generation rate minimization," Energy, Elsevier, vol. 107(C), pages 725-733.
    6. Ma, Jiaze & Wang, Yufei & Feng, Xiao, 2017. "Energy recovery in cooling water system by hydro turbines," Energy, Elsevier, vol. 139(C), pages 329-340.
    7. Perdomo-Hurtado, Luis & Rincón Tabares, Juan Sebastián & Correa, Danahe Marmolejo & Perdomo, Felipe A., 2017. "Castor oil preheater selection based on entropy generation and exergy effectiveness criteria," Energy, Elsevier, vol. 120(C), pages 805-815.
    Full references (including those not matched with items on IDEAS)

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