2 min read

Fact or Fiction: Yaw Misalignment an Issue of the Past

Fact or Fiction: Yaw Misalignment an Issue of the Past

The race to roll out increasingly larger wind turbines among different OEMs has begun. For example, the new GE Haliade-X wind turbine has a rotor diameter of 220 m (107 m blades) and a turbine height of up to 260 m.

There are 2 clear motivations to develop larger wind turbines:

  1. Wind speeds generally increase with height — meaning there's more energy potential at higher altitudes
  2. The amount of energy that can be extracted by the turbine is directly proportional to blade length.

As the industry pushes to develop increasingly larger wind turbines, it might be assumed that many of the primary performance issues plaguing previous generations of wind turbines (e.g., static yaw misalignment) would have been addressed. However, to what extent are advancements in engineering and the increasingly sophisticated system monitoring (especially offshore), helping to improve performance and mitigate common turbine issues?  

WindESCo leverages high-speed SCADA data and advanced analytics to identify turbine issues negatively impacting annual energy production (AEP). Historically, static yaw misalignment, which occurs when a turbine is not properly pointed into the wind, has been a major source of underperformance.

Analysis of operating wind farms with a commercial operation date (COD) before 2015 discovered that approximately 56% of the wind turbines at any given wind plant were exhibiting yaw misalignment and were reducing site AEP by 0.6%.

Examining a similar capacity database of sites and turbines with CODs spanning 2016 through 2019 (including those sites under Long-Term Service Agreements), WindESCo often finds the percentage of turbines per site operating with static yaw misalignment greater than 56%.

At a European site, we found 83% of the wind turbines examined per site exhibiting static yaw misalignment, which negatively impacted site AEP by approximately 1.7%. After fixing this underperformance issue at the wind farm, the plant was able to gain over €71,000 back in lost revenue. 

WindESCo customers earn back lost revenue from wind farms

Therefore, wind turbine engineering and sensor-based monitoring may be increasing sophistication and complexity, but major sources of underperformance including static yaw misalignment remain.

AEP will naturally benefit from larger wind turbine blades and increased turbine heights, but there is significant AEP lost when owners, operators, asset managers and investors assume their newer assets are immune to these age-old underperformance issues.

To combat static yaw misalignment and other sources of wind turbine underperformance, WindESCo offers Find, Fix, Measure to find these issues while leveraging extensive subject-matter expertise to provide actionable recommendations to correct these issues.

To date, WindESCo has provided recommendations to correct static yaw misalignment on several GWs of wind capacity, allowing wind energy stakeholders to recover what would otherwise be lost AEP and revenue.


Interested in increasing the wind energy production for your existing wind sites? Contact us to recover your losses.

Energy Improvement Assessment: Side-by-side analysis

Energy Improvement Assessment: Side-by-side analysis

Previously, we've shown that nacelle power curves aren't reliable due to the interaction between the turbine performance and the nacelle transfer...

Read More
WindESCo Receives Approval from DNV for its Energy Improvement Analysis Method for Wind Turbines

WindESCo Receives Approval from DNV for its Energy Improvement Analysis Method for Wind Turbines

Approval validates the startup’s ability to reliably measure changes in wind turbine performance using state-of-the-art machine learning techniques

Read More