Wind turbines are exposed to dynamic and complex loads that can affect their performance, reliability, and lifespan. Load monitoring provides measuring and analysis of these loads and use the insights to:
using input from sensors to perform individual pitch control to maximize output while keeping loads under control.
by extending the lifetime of components and planning maintenance activities based on the actual load history.
by avoiding overloading and documenting the structural integrity and fatigue life of the blades.
for new turbine models.
of your existing turbines models. The more insights you gain the more possibilities of using the same turbine type in a wider range of weather conditions and geographical locations.
We offer a comprehensive load monitoring system that uses fiber optics technology to measure the loads on each individual blade.
With SENACT® Load, you get:
Autonomous Bending Moment Calibration (ABMC) is a software module that enables accurate and efficient calibration of blade load sensors.
Blade load monitoring requires calibration, which is the process of converting the measured strain into bending moments. Calibration typically requires onsite personnel, and it can take several hours or days per turbine to complete. It is therefore a time-consuming and costly process. Calibration is also sensitive to weather conditions (e.g., wind speed and temperature) and it needs to be repeated periodically, as the blade properties change over time due to fatigue.
ABMC solves these challenges by automating and optimizing the calibration process. It can be activated remotely or can be automated, and it can be configured for different types of calibration depending on the wind speed and the quality target.
ABMC uses a model-based approach to calibrate the sensors repeatedly. It always compares the new calibration with the previous one and can be activated if it is better or within a certain deviation threshold. This leads to improved calibration accuracy and therefore improved load data.
ABMC uses a model-based approach to calibrate the sensors repeatedly. It always compares the new calibration with the previous one and can be activated if it is better or within a certain deviation threshold. This leads to improved calibration accuracy and therefore improved load data.