Sensonics fits tech to wind turbine blades10 October 2024
Condition monitoring specialist Sensonics has fitted sensing and data equipment to wind turbine blades used at the Crystal Rig ll Wind Farm near Dunbar in East Lothian.
The purpose of the installation is to develop a database of measured performance data across a range of blade conditions.
The wind farm has an installed capacity of 138 MW and is managed by Natural Power, part of the Fred Olsen Group.
Wind turbines are playing a role in the expansion of greener energy alternatives currently contributing around 30% of the UK’s total electricity generation. Like any rotating industrial applications and machinery, timely and efficient maintenance is critical for wind turbines. This includes understanding the dynamic behaviour and establishing a baseline performance to detect the early onset of failure of rotating parts. As with all condition monitoring, if machinery is left unchecked there will always be increased potential for more serious damage and disruption.
This UK government funded project investigating blade health monitoring at the Crystal Rig wind farm holds promise for the wind energy industry. By leveraging the latest sensor technology, real-world data collection at the University of Huddersfield, the project has the potential to improve how wind turbines are maintained. By visiting the wind farm, the project team were able to see the 2.3 MW Siemens turbines in action and discuss the monitoring strategy with the site personnel.
The project could open a range of possibilities for the future:
Early detection of blade issues: Catching blade deterioration early translates to reduced repair costs and improved turbine uptime which results in financial benefits for wind farm operators. Improved operational efficiency: Real-time blade health data allows for optimised maintenance schedules, minimising downtime and maximising energy production. Extended turbine life: Proactive blade maintenance can extend the lifespan of wind turbines, delaying expensive replacements and maximising return on investment. Non-intrusive monitoring: The focus on non-rotating parts for sensor placements simplifies installation and reduces maintenance complexity.
Ben Spencer
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