Conveners
Wind energy application: Wind energy application
- Hossein Tabari (RMI / UAntwerpen)
With offshore wind farms increasing in size and number, their interaction with regional wind and weather patterns plays an increasingly important role. Wind turbines extract energy from the boundary layer, resulting in downstream wakes with reduced wind speeds. When clustering many turbines together, wakes coalesce and can persist for tens of kilometers, affecting neighboring farms and...
Accurate day-ahead wind power forecasts are essential for wind farm operation strategies and grid capacity planning. This presentation demonstrates probabilistic day-ahead wind power forecasting using gradient boosting trees. We compare three probabilistic prediction methods - conformalised quantile regression, natural gradient boosting and conditional diffusion models - combined with...
Recent research has pointed out that wind farms can interact with the atmosphere at scales much larger than the turbine size. Although these large-scale effects are significant, they cannot be captured by the widely used engineering wake models. To bridge this gap, Allaerts & Meyers [1] developed an Atmospheric Perturbation Model (APM) that accounts for both turbine-scale and mesoscale effects...
AI-driven Weather Prediction Models (AIWPMs) are revolutionizing weather forecasting and surpassing traditional numerical weather models in both accuracy and computational efficiency. With weather conditions impacting numerous sectors, such as renewable energy generation, this has far-reaching implications. AIWPMs could enable improved forecasts for renewable energy generation, such as wind...
This study investigates the application of Encoder–Processor–Decoder architectures, which have been successfully employed in large machine learning–based weather forecasting models, for wind power prediction. Using the Anemoi framework from the European Centre for Medium-Range Weather Forecasts (ECMWF), we evaluate graph-based neural networks over a domain covering Belgium and the Belgian...
As offshore wind-farms grow in size, atmospheric gravity waves and blockage can affect their operation and performance [1]. Since conventional wake models cannot capture these effects on their own, they need to be coupled to other models that simulate the mesoscale interaction between wind farms and the atmosphere. However, this raises the computational cost of the wake model by several...
