The present invention relates to method for estimating energy production (107) from a wind turbine (101) with plurality of blades (102). The method comprises obtaining one or more infrared images (103) of each blade (102) of the wind turbine (101). Further, identifying one or more cross-sectional regions (302) of each of the blade (102) using the one or more infrared images (103) based on a boundary region (301), wherein the boundary region (301) is indicating a transition from a laminar air flow to a turbulent air flow. Furthermore, determining plurality of polar values indicative of an aerodynamic profile for each of the one or more cross-sectional regions (302) based on one or more panel method based techniques and the boundary region (301). Finally, estimating the energy production (107) for the wind turbine (101) based on one or more blade (102)-element momentum (BEM) based techniques using the plurality of polar values.

A method for operating a wind turbine is disclosed, wherein said wind turbine comprises a rotor having at least one rotor blade with a rotor blade surface and an icing detection device for detecting an icing condition for the rotor blade and/or for detecting the presence of icing on the rotor blade. Further, a controller configured for controlling a rotational speed of the rotor can be provided. The method comprises the steps of monitoring, via the controller and/or via the icing detection device, whether an icing condition for the rotor blade is present and/or if icing on the surface of the wind turbine is present, thus, that ice has been generated on the surface. If an icing condition is detected, or if it is detected that ice has generated on the surface of the rotor blade, the wind turbine is operated further according to a de-rated icing-mode having a reduced rotational speed, in particular while maintaining a generation of electrical energy by a generator of the wind turbine.

The present disclosure provides a defect-detectable fiber fabric, including a plurality of bunches of fibers and a plurality of braided threads configured to respectively fix together fibers of each bunch of fibers. The plurality of braided threads include first braided threads each having a color different from a color of any of the plurality of bunches of fibers, and a respective distance between every two adjacent first braided threads is configured to make wrinkle defects that could be formed in fabric layers detectable. After the curing and molding, the positions of the defects and the layer(s) where the defects are formed can be determined according to the states of the first braided threads.

The present disclosure provides a system and method for real-time anomaly data determination for turbine blades of a wind turbine. The system receives sensor data associated with a set of turbine blades of the wind turbine. The sensor data indicates one or more structural characteristics associated with each of the set of turbine blades and/or one or more operational characteristics associated with each of the set of turbine blades. The system determines profile data associated with each of the set of turbine blades based on the sensor data. The system determines anomaly data associated with at least one of the set of turbine blades based on the profile data associated with each of the set of turbine blades. The anomaly data indicates a deviation between at least two turbine blades of the set of turbine blades. The system outputs the anomaly data.