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Windtech International July August 2025 issue
 

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ping eologix 1Maximising Energy Production and Reducing Fatigue

Proper blade alignment in wind turbines is crucial for maximising energy production and reducing fatigue. This article explores a system that addresses pitch misalignment, enhancing turbine efficiency and longevity by ensuring each blade is pitched at the same angle. Pitch misalignment in wind turbines can significantly impact performance. When the blades are not uniformly pitched, it results in decreased aerodynamic efficiency and increased mechanical stress. Various factors can cause blade pitch to become misaligned, such as wear and tear on mechanical components, temperature variations, and human error during maintenance.

By Matthew Stead, Chief Product Officer and Co-Founder, eologix-ping, Australia

Wind turbines rely on precise blade alignment to function optimally. Continuous monitoring of blade pitch as part of a proactive approach to maintaining this alignment ensures that each blade is pitched correctly.

Monitoring Pitch Misalignment for Increasing Power Generation
Continuous monitoring of blade pitch addresses this issue by helping to ensure pitch angle uniformity. One of the primary benefits of continuous blade pitch monitoring is its ability to enhance power generation. Misaligned blades reduce the aerodynamic efficiency of the turbine, leading to lower power output.

By detecting pitch misalignment in real time, this approach helps to maximise the aerodynamic efficiency of the turbines. Proactive maintenance is crucial for optimising power output and overall performance of wind turbines.

Reducing Fatigue and Extending Lifespan
Reducing fatigue on wind turbine components is another significant advantage of maintaining proper blade alignment. Aerodynamic imbalance caused by pitch misalignment can lead to uneven loading on the blades and other structural components, accelerating wear and fatigue. By maintaining precise alignment, continuous monitoring helps to distribute loads more evenly, reducing stress and fatigue on the turbine. This not only prolongs the lifespan of the turbine components but also reduces maintenance costs and downtime. The even distribution of mechanical loads minimises the risk of component failure, leading to more reliable and cost-effective wind energy production.

Impact on Maintenance Practices
This approach represents a shift towards proactive maintenance in the wind energy industry. Traditional maintenance practices often involve reactive measures, addressing issues only after they have occurred. In contrast, the continuous monitoring capabilities allow early detection of potential misalignment issues. These systems provide information about the status of the system at any time, even in different operating states. This enables operators to take corrective actions before significant problems arise rather than after a pitch alignment measurement campaign. By preventing issues before they occur, this approach minimises downtime and maintenance costs, leading to more efficient and effective wind turbine operations.

Why Pitch Misalignment is Becoming More of an Issue
Pitch misalignment in wind turbines is an increasingly prominent issue because of several factors. Firstly, many turbines currently in operation were installed over a decade ago and are experiencing natural wear and tear. As these turbines age, their mechanical components, including the pitch control system, become more prone to misalignment.

Additionally, modern wind turbines are significantly larger than their predecessors, and the increased size means greater stresses on the blades and pitch mechanisms. Even small misalignments can have a larger impact on performance and stress in these larger systems. Advances in blade design have led to more complex aerodynamics, which, while optimising turbines for a wider range of wind conditions, also make pitch alignment more sensitive.

Environmental factors play a role as well. Wind turbines are exposed to harsh and varying conditions, such as temperature fluctuations, ice accumulation and strong winds. These conditions can cause mechanical components to shift or degrade over time, leading to misalignment.

Wind farm operators are working towards higher efficiency. The industry now demands maximised efficiency and minimised downtime, making any misalignment that reduces performance or increases maintenance costs a significant issue. Advances in monitoring technology and data analytics have made it easier to detect misalignment, highlighting its prevalence more clearly.

Case Study: Improving Efficiency in Wind Farms
A recent case study provided by eologix-ping highlighted the benefits of :ALIGN continuous blade pitch monitoring in a large wind farm. On the request of one of our customers, a pitch alignment monitoring system was installed on an Enercon E-82 E2 2MW in Germany to continuously measure the relative pitch angle deviations and thus causes of an aerodynamic imbalance. In the course of the measurement, significant relative pitch angle deviations were detected at the wind turbine (see Figure 1 calendar weeks 36 to 45). A subsequent independent on-site measurement of the pitch angle deviations by photogrammetry yielded a comparable result (see Table 1, left side). After the on-site measurement and correction of the pitch angle deviations in calendar week 46, the relative pitch angle deviations are significantly uniformly reduced and coincide well with the independent measurement (see Table 1, right side).

table 1 eologix ping

Technological Advancements in Blade Pitch Alignment Monitoring
The technology behind continuous blade pitch monitoring involves advanced sensors and data analytics. The sensors are mounted directly on the blades to measure the accelerations occurring there in all three spatial directions during operation of the wind turbine. The reference is acceleration due to gravity. Depending on the rotor position and blade angle, the sensors measure different proportions of gravity and these proportions are converted into position angles for each sensor. The measurements of the sensors are synchronised and performed several times a day in order to record several rotor revolutions and different operating states. The measured accelerations are used to calculate the rotational speed of the rotor and the alignment of its blades relative to each other via corresponding algorithms. This real-time monitoring is a significant advancement in wind turbine maintenance, providing operators with precise control over turbine performance.

Challenges and Future Directions
While the benefits of maintaining proper blade alignment are clear, there are challenges associated with the implementation of continuous monitoring systems. One challenge is the initial cost of installing the sensors and monitoring equipment. This is addressed by leasing monitoring systems and gaining benefits of increased energy production and reduced maintenance costs, which outweigh the investment. Additionally, the integration of these systems requires technical expertise and robust data management practices to handle the continuous stream of data generated. Modern monitoring systems with associated cloud application programming interfaces ensure this burden is minimised.

Future advancements in sensor technology and data analytics are likely to enhance the capabilities of continuous monitoring systems, making them even more effective in optimising wind turbine performance. Emerging technologies hold the promise of extending current systems beyond pitch alignment to include measurements of blade twist, mass imbalance, and blade modal frequencies. These additional metrics can provide comprehensive structural health condition monitoring.

By measuring blade twist, operators can ensure that the aerodynamic shape of the blade remains optimal throughout its operational life. Detecting mass imbalance early can prevent uneven loading on the turbine, reducing wear and tear on mechanical components. Monitoring blade modal frequencies allows detection of changes in the blade’s structural integrity, indicating potential damage or degradation.

These advancements enable a more holistic approach to turbine maintenance, ensuring not only that blades are aligned correctly but also that they are structurally sound and operating efficiently. The integration of these advanced monitoring capabilities will lead to even greater improvements in turbine performance and lifespan, further supporting the growth and sustainability of the wind energy sector.

Industry Adoption and Standards
As the wind energy industry continues to grow, the adoption of advanced maintenance practices, including continuous monitoring of blade pitch, is becoming increasingly common. Industry standards and best practices are being developed to guide the implementation and operation of these systems. Collaboration between wind energy companies, technology providers, and standards bodies such as IEC and ISO is essential to ensure the widespread adoption of effective monitoring practices. By working together, the industry can achieve significant improvements in the efficiency and reliability of wind energy production, contributing to a more sustainable energy future.

Conclusion
In summary, maintaining proper blade alignment is crucial for maximising the efficiency and longevity of wind turbines. Continuous monitoring of blade pitch provides a proactive solution to the challenge of pitch misalignment, ensuring that each blade is pitched correctly. By enhancing power generation, reducing fatigue and extending the lifespan of turbine components, this approach represents a significant advancement in wind turbine maintenance. As the wind energy industry continues to evolve, the adoption of innovative solutions like continuous monitoring will play a critical role in optimising wind energy production and supporting the transition to renewable energy sources.

Biography of the Author
Matthew Stead is Chief Product Officer and Co-Founder of eologix-ping. Matthew has a bachelor’s degree in engineering (first class honours) and a master’s degree in engineering science (acoustics).

 
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