Unlocking data driven optimisation for wind farms
Technology
Our technology was designed to transform noisy operational data into high quality actionable results to optimise wind farms
We tackle the SCADA data limitations by combining Machine Learning and Wind Turbine Modelling with our Wind Farm O&M expertise to deliver high quality results for a complete overview of how wind farms are operating and how they can be optimised.
Solution
Full-scale overview of wind farm operation to increase AEP
Innovative and Automated processing to convert existing data into reliable key parameters to monitor, diagnose and optimise wind farms with high quality and high precision.
Wind farm improvement plan of action presented on an expert-level Analysis Report.
Online Dashboard for results monitoring and corrective actions follow-up.
And it doesn’t stop there ! We provide the industry’s best Expert Support: we make Asset Management less time-consuming and we remain an Expert at your side !
Analysis Report
Online Dashboard
Expert Support
Features
Energy Yield
Root-cause differences between Production and Budget
Turbine operation: Availability, Curtailments, Power Curve and Performance ;
External conditions: Wind resource, Air density, Turbulence Intensity, Wind sector, Icing and Wake effects.
Separate Performance from Power Curve losses
Performance
Reliable wind-speed-corrected Performance monitoring
Monthly turbine performance monitoring based on Power Curve and Prediction Models
Turbine-specific ML-prediction models to correct wind speed and remove “false-positives”
Root-cause underperformance from multivariable analysis
Diagnosis
Detect and correct issues impacting turbine operation and performance
Yaw Static Misalignment, North deviation, Yaw Dynamic, Turbine Control, Faulty wind sensor
Estimation of potential gain in AEP
Issue specific correction checklist
