Case Study: Yaw Misalignment Company boosts turbine output with SparkCognition's yaw misalignment detection

Yaw Misalignment Company - Customer Case Study

Yaw Misalignment Company, a wind energy operator, faced the challenge of yaw misalignment, a condition that reduces turbine output and increases maintenance costs. To address this, they partnered with SparkCognition, which leveraged its Ensemble Energy platform and machine learning capabilities to provide a more efficient detection solution.

The solution implemented by SparkCognition used a machine learning model that required only two months of historical data to identify yaw misalignment, a significant improvement over traditional costly and time-consuming methods. The model accurately detected misalignment with 96% accuracy, allowing for swift remote corrections. This resulted in a confirmed increase in Annual Energy Production by up to 2% for the corrected turbines, boosting project revenue by $45,000 annually.