Experimental evaluation of bending moments at the tower of an onshore wind turbine

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Pacheco, J (Author) Other; Pimenta, F (Author) FEUP; Cunha, Á (Author) Other; Magalhães, F. (Author) FEUP

Conference proceedings International

Title: Proceedings of the International Conference on Structural Dynamic , EURODYN

Pages: 2206-2218

11th International Conference on Structural Dynamics, EURODYN 2020

23 November 2020 through 26 November 2020

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00T-CZY

DOI: 10.47964/1120.9179.19890

Abstract (EN): The main goal of the WindFarmSHM research project is the development, validation and optimization of a monitoring strategy to be applied at the level of the wind farm, which should be able to evaluate the structural condition of a set of wind turbines and their consumed fatigue life. The accomplishment of this goal implies the development of an experimental campaign, the construction of numerical models and the implementation of new data processing methodologies. The experimental campaign is being performed at Tocha wind farm (an onshore wind farm located in Portugal) and includes the monitoring of three wind turbines, loaded by winds with different turbulence intensities motivated by the neighboring wind turbines, during a period of about 2 years. The instrumentation includes strain gauges, clinometers and accelerometers distributed in the tower and rotor. As a first step in the development of tools to assess the fatigue condition of wind turbine towers, this work describes the data processing needed to obtain an accurate experimental estimation of the bending moments applied in the tower of the already fully instrumented wind turbine (WT1) and the validation of the obtained results using complementary monitoring components. The experimental results reported in this contribution are also being used for calibration of advanced numerical models developed in FAST, which are very relevant for a better understating of the experimental data.

Language: English

Type (Professor's evaluation): Scientific