Unlocking data driven decisions for wind farms
Technology
Our technology was designed to transform noisy operational data into high quality actionable results to improve wind farms
In order to ensure high quality results, and handle the limitations of SCADA data, multiple data processing steps are required. We combine state-of-the-art Machine Learning, AI, statistical algorithms and wind turbine modelling with our wind farm O&M expertise to deliver a complete overview of how wind farms are operating and how we can improve their energy yield.
Features
Asset Production
Explain differences between Production and Budget
Root-cause of operational and power curve production losses
Turbine operation: Availability, Curtailments, Power Curve and Performance
Wind conditions: Wind resource, Air density, Turbulence Intensity, Wind sector, Wake effects
Turbine Performance
Reliable turbine performance monitoring
Monthly turbine performance monitoring based on corrected Power Curve and Prediction Models analysis
Separate real changes in performance from changes in the SCADA
Root-cause underperformance
Diagnosis
Detect and correct issues impacting turbine operation and performance
Yaw Static Misalignment, North deviation, Yaw Dynamic, Turbine Control, Wind sensor
Corrective action checklist and Expert support
Estimate gain in AEP after the correction
