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Optimization of the co-closing law of guide vanes and blades for bulb turbines based on CFD

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Abstract

The load rejection transient process of bulb turbine units is critical to safety of hydropower stations, and determining appropriate closing laws of guide vanes (GVs) and runner blades (RBs) for this process is of significance. In this study, we proposed a procedure to optimize the co-closing law of GVs and RBs by using computational fluid dynamics (CFD), combined with the design of experiment (DOE) method, approximation model, and genetic optimization algorithm. The sensitivity of closing law parameters on the histories of head, speed, and thrust was analyzed, and a two-stage GVs’ closing law associating with a linear RBs’ closing law was proposed. The results show that GVs dominate the transient characteristics by controlling the change of discharge. Speeding GVs’ first-stage closing speed while shortening first-stage closing time can not only significantly reduce the maximum rotational speed but also suppress the water hammer pressure; slowing GVs’ second-stage closing speed is conducive to controlling the maximum reverse axial force. RBs directly affect the runner force. Slowing RBs’ closing speed can further reduce the rotational speed and the maximum reverse axial force. The safety margin of each control parameter, flow patterns, and pressure pulsations of a practical hydropower station were all improved after optimization, demonstrating the effectiveness of this method.

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Acknowledgment

The numerical calculations in this paper have been done on the supercomputing system in the Supercomputing Center of Wuhan University.

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Correspondence to Yong-guang Cheng.

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Conflict of interest: The authors declare that they have no conflict of interest. Yong-guang Cheng is editorial board member for the Journal of Hydrodynamics and was not involved in the editorial review, or the decision to publish this article. All authors declare that there are no other competing interests.

Ethical approval: This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent: Not application.

Additional information

Project supported by the National Natural Science Foundation of China (Grant Nos. 51839008, 51909226).

Biography: Hui Liu (1999-), Male, Master Candidate, E-mail: liuh006@whu.edu.cn

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Liu, H., Lin, Yf., Cheng, Yg. et al. Optimization of the co-closing law of guide vanes and blades for bulb turbines based on CFD. J Hydrodyn (2024). https://doi.org/10.1007/s42241-024-0019-5

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  • DOI: https://doi.org/10.1007/s42241-024-0019-5

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