Reducing the Cost of Icing in Wind Farms
When
How advanced forecasting can reduce uncertainty, improve bidding accuracy, and lower imbalance costs
Icing remains one of the most significant challenges for wind farms operating in cold climates. While operators know that icing can reduce production and create costly imbalances, the real challenge lies in forecasting when icing will occur, how severe it will be, and most importantly, when turbines will recover and return to normal production.
In this webinar, AFRY's Helmi Uusitalo presented a science-based approach to cold-climate wind forecasting developed through AFRY DAPS. Combining atmospheric physics, turbine-specific modelling, SCADA analytics, and weather intelligence, AFRY DAPS delivers more accurate next-day production forecasts and helps operators make better operational and market decisions.
Whether you are involved in asset management, energy trading, forecasting, or wind farm operations, this webinar provides practical insights into how advanced modelling can reduce uncertainty and support more reliable wind power production in cold climates.
Key topics
- Why icing remains one of the biggest forecasting challenges for cold-climate wind farms
- The financial impact of inaccurate production forecasts
- How AFRY DAPS combines physics-based modelling, SCADA data, and weather forecasting
- Predicting ice release and turbine recovery with greater accuracy
- Real-world results from cold-climate wind farms
- Applications for bidding, asset management, and operational planning
