open access publication

Article, 2024

Fatigue damage analysis of a Kaplan turbine model operating at off-design and transient conditions

Structural Health Monitoring, ISSN 1475-9217, Volume 23, 3, Pages 1687-1700, 10.1177/14759217231191417

Contributors

Roig R. 0000-0001-9186-2279 [1] Sanchez-Botello X. 0000-0002-2501-5263 [1] de la Torre O. [2] Ayneto X. [1] Hogstrom C.-M. [3] Mulu B. [3] Escaler X. 0000-0002-9374-7749 (Corresponding author) [1]

Affiliations

  1. [1] Universitat Politècnica de Catalunya
  2. [NORA names: Spain; Europe, EU; OECD];
  3. [2] Floating Power Plant A/S
  4. [NORA names: Other Companies; Private Research; Denmark; Europe, EU; Nordic; OECD];
  5. [3] Vattenfall AB
  6. [NORA names: Sweden; Europe, EU; Nordic; OECD]

Abstract

The current renewable energy market forces hydraulic turbines to operate for longer periods of time at off-design and transient conditions. Their life expectancy is then decreased due to the wear provoked by flow instabilities and stochastic flow excitations. This study presents an experimental investigation into the fatigue damage induced on the runner blades of a Kaplan turbine model when working at speed-no-load (SNL), part load (PL) and during ramps of load. The unit was equipped with on-board sensors on the blades and the shaft as well as with off-board sensors installed on the supporting structure and the draft tube cone. The results reveal that operation at SNL induces more fatigue damage on the runner blades than at PL. The damage is then mainly induced by stochastic flow excitations at SNL and by the rotating mode of the rotating vortex rope (RVR) at PL. The ramps of load, when crossing each operating condition, cause levels of damage similar to those found in stationary operation. Finally, it was proved that the blade fatigue damage can be estimated from on-board shaft measurements at any condition. However, the blade fatigue damage can only be estimated using off-board measurements when the RVR is fully developed at PL.

Keywords

Fatigue damage, Kaplan turbine model, Rainflow counting algorithm, off-design operation, on-board measurements, transient operation

Funders

  • Horizon 2020 Framework Programme

Data Provider: Elsevier