Experimental Investigation of Pressure Pulsation Characteristics on Guide Vane Surface of a Low-Specific-Speed Pump–Turbine in Turbine Mode

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Authors: Lei He, Lei He, Zhongxin Gao, Jianguang Zhang, Yanlin Yi
Cited by: 1
References: 29

Abstract

To investigate the hydraulic instability mechanisms of low-specific-speed pump–turbines operating in turbine mode, this study experimentally characterized the pressure distribution and pulsation evolution on the guide vanes of a model unit (ns = 28) using an embedded sensor technique. By overcoming the accessibility limitations of traditional measurement methods, this research reveals the distinct pressure response mechanisms on the guide vane Front Side (upstream-facing) and Back Side (runner-facing). The results demonstrate that the time-averaged pressure distribution is highly sensitive to the Guide Vane Opening (GVO). Specifically, pressure on the Front Side increases with GVO, dominated by the improvement of flow pattern and stagnation effect, whereas pressure on the Back Side decreases monotonically, governed by the Bernoulli effect. Increasing the GVO significantly improves pressure uniformity, reducing the surface pressure gradient by 55%. Regarding dynamic characteristics, pressure fluctuation intensity on the Back Side is significantly higher than that on the Front Side. Furthermore, fluctuations are notably amplified near the tongue, confirming that flow distortion induced by the tongue is a key factor driving circumferential non-uniformity. Spectral analysis identifies the Blade Passing Frequency (BPF) as the dominant frequency, verifying Rotor–Stator Interaction (RSI) as the primary excitation source, while the guide vane channel exhibits a significant low-pass filtering effect on high-order harmonics. These findings provide a solid theoretical foundation and data support for the optimal design and stability control of pump–turbine guide vanes.

Fields of Study & Subjects

Cavitation Phenomena in Pumps Turbomachinery Performance and Optimization Water Systems and Optimization

Publication details

Journal / source
Energies
Publisher
MDPI AG
Volume
19
Issue
3
Pages
666–666
Publication date
27 January 2026
Language
EN