Development of a test rig to characterise the roughness found in hydraulic turbines

The project "Characterization of Roughness in Hydraulic Turbines" aims to develop a methodology to identify and quantify efficiency losses caused by roughness in hydraulic turbines. Over time, turbine surfaces deteriorate due to processes such as erosion, corrosion, and cavitation, which affect performance and efficiency. Since turbines operate for decades, understanding the impact of this roughness is crucial to improving their lifespan and sustainability.

The project focuses on characterizing the specific roughness patterns found in turbines, which are more complex than standard models in technical literature. By combining experimental techniques such as Particle Image Velocimetry (PIV) and high-precision torque measurements with models developed using Machine Learning, the project aims to link roughness to its impact on fluid flow and losses.
This interdisciplinary work, involving fluid mechanics and mechanical elements, will produce models to predict the effects of roughness, enabling hydropower companies to optimize turbine performance. The project has significant implications for improving the sustainability of hydropower by reducing energy losses, lowering maintenance costs, and extending turbine lifespan.

Partners include major industry players such as Vattenfall, Hydro Quebec, and the Swedish Hydropower Centre.