4.7 Article

Numerical investigation of unsteady characteristics of a pump turbine under runaway condition

Journal

RENEWABLE ENERGY
Volume 169, Issue -, Pages 905-924

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2021.01.063

Keywords

Pump turbine; Unsteady characteristics; Pressure fluctuation; Vortex; Entropy generation

Funding

  1. Nation Natural Science Foundation of China [51779186]
  2. Nature Science Foundation of Hubei Province [2018CFA010]

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The runaway condition in pump turbines exhibits unsteady pressure fluctuations, and the motion and transmission of vortices play a significant role in affecting the internal flow characteristics and characteristic frequencies of the pump turbine.
The runaway condition is unsteady and is of significant importance in pump turbines. In this research, the shear-stress transport (SST) k-omega turbulence model is used to simulate the unsteady flow in the vaneless region and the runner of a prototype pump turbine. The characteristics of pressure fluctuations, vortex identification based on Q criterion and local entropy generation rate (LEGR) in the pump turbine under runaway condition are studied, and the relationships of these physical quantities in the vaneless region are determined. Internal flow research reveals the motion and transmission characteristics of vortices in the vaneless region and the runner. The results show that the vortices that move clockwise in the vaneless region are responsible for the flow separation, the increase of LEGR, and the generation of the characteristic frequency 1.4f(n) of these physical quantities (pressure fluctuations, Q criterion and LEGR). In runner, it is found that the characteristic frequency of pressure fluctuation is 3.6f(n), which satisfies a linear relationship with the characteristic frequency 1.4f(n) in the vaneless region. The vortices, moving in the vaneless and runner region, interact with the blades of runner and mainly contribute to the pressure fluctuation characteristic frequency in the runner. (C) 2021 Elsevier Ltd. All rights reserved.

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