Characteristic Curve Prediction of a Commercial Centrifugal Pump Operating as a Turbine Through Numerical Simulations

Authors

  • Diego Penagos Vásquez Faculty of Engineering, Department of Mechatronics and Electromechanics, Instituto Tecnológico Metropolitano, Robledo Campus, Calle 73 No. 76A-354, Vía al Volador, Medellín, Colombia
  • Jonathan Graciano Uribe Faculty of Engineering, Department of Mechatronics and Electromechanics, Instituto Tecnológico Metropolitano, Robledo Campus, Calle 73 No. 76A-354, Vía al Volador, Medellín, Colombia
  • Sebastián Vélez García Faculty of Engineering, Department of Mechatronics and Electromechanics, Instituto Tecnológico Metropolitano, Robledo Campus, Calle 73 No. 76A-354, Vía al Volador, Medellín, Colombia
  • Jorge Sierra del Rio Faculty of Engineering, Department of Engineering, Environmental Research Group – GIIAM, Institución Universitaria Pascual Bravo, Robledo Campus, Calle 73 No. 73A-226, Vía al Volador, Medellín, Colombia

Keywords:

Specific speed, Hydraulic profile, Centrifugal pump, Radial flow, Pump as Turbine, CFD

Abstract

In this work, we seek to predict the characteristic curve of a commercial centrifugal radial flow pump operating as a turbine, applying a novel methodology based on the state of the art. Initially, the characteristic curve in pump mode is validated through numerical simulations. The results obtained are approximate to the points awarded by the manufacturer, with an error of less than 7% at the best efficiency point. Subsequently, the characteristic curve is generated in turbine mode, obtaining an error of less than 10% respect to mathematical model. Then, velocity and pressure contours are evaluated to validate the fluid dynamic behavior. Finally, the site operating conditions for electricity generation are obtained. With this, it is proposing a methodology for the selection of these turbomachines, applying an economic technology for zones that do not have access to the electrical energy, since it was not found a method that is being applied for its correct election in the hydroelectric generation at low scale.

Published

2021-07-20