AIRE’s toolbox
Supporting wind energy decision-making under real climate conditions
Blade Erosion Risk Atlas
Spatial mapping of erosion-related conditions across a predefined domain using mesoscale simulation data.
Developed by:
Expected in July
Wind farm development and optimization tool
Integrated wind farm modelling and control to optimise design and operation under erosion-related conditions such as rain and sand.
Developed by:
Available at: https://gitlab.windenergy.dtu.dk/aire/dtu-wpp-ctrl
Wind turbine AEP prediction tools – ATENEA
Estimation of AEP (Annual Energy Production) and AEP losses based on blade erosion progression due to rainfall and the wind turbine operating conditions.
Developed by:
Available at: https://windtools.cener.com/ATENEA/
Wind turbine AEP prediction tools – SALT
Prediction of annual energy production losses resulting from aerodynamic deterioration along different spanwise sections of wind turbine blades.
Developed by:
Available at: https://gitlab.windenergy.dtu.dk/lercat/salt
Curtailment strategy tool – Erosion-safe operating tool
Modelling of the probabilistic progression of leading edge erosion (LEE) in wind turbine blades and support for the design and optimisation of erosion-safe operation strategies, such as tip speed curtailment.
Developed by:
