A wind flow sensing system for determining a turbulence of wind flow at a set of different altitudes above a terrain is provided. The wind flow sensing system comprises an input interface configured to receive a set of measurements of radial velocities at line-of-site points above the terrain for each of the altitudes for a set of time steps, and a processor configured to estimate velocity fields for each of the altitudes based on data assimilation of the velocity fields, estimate unbiased horizontal velocities at each of the altitudes and for each time step, determine an average of the unbiased horizontal velocities for a period of time including the set of time steps, and determine, at each of the altitudes, a turbulence based on the unbiased horizontal velocities for each time step and the average of the unbiased horizontal velocity.

The present invention relates to a method of determining the average wind speed in a vertical plane by use of a LiDAR sensor (2), comprising performing measurements (MES), constructing a measurement model (MOD M) and a wind model (MOD V), then using an adaptive Kalman filter (KAL) to determine the wind speed (v), and determining the average wind speed in the vertical plane being considered (RAWS).

The present invention relates to a method of determining an induction factor between the rotor plane (PR) and a measurement plane (PM), involving measuring the wind speed in at least two measurement planes (PM), determining the wind speed in rotor plane (PR) by use of a Kalman filter from the measurements, and a step of measuring the induction factor by use of an adaptive Kalman filter from the measurements and the wind speed in rotor plane (PR).

A wind flow sensing system for determining wind flow at a set of different altitudes above a terrain is provided, The wind flow sensing system comprises an input interface configured to receive a set of measurements of radial velocities at line-of-site points above the terrain for each of the altitudes, and a processor configured to estimate velocity fields for each of the altitudes based on data assimilation of the velocity fields above an approximation of the shape of the terrain with a set of one or multiple convex shapes to fit the measurements of radial velocities and estimate horizontal velocities at each of the altitudes as a horizontal projection of the corresponding radial velocities corrected with corresponding horizontal derivatives of vertical velocities of the estimated velocity fields. The wind flow sensing system further comprises an output interface configured to render the estimated horizontal velocities at each of the altitudes.

A method for detecting a shadow condition from a wind turbine and a system for detecting a shadow condition are provided. An atmospheric condition detected from an atmospheric condition detector is compared to a threshold. From the comparison a determination is made that the atmospheric condition is shadow producing. The shadow condition is detected using the determination.

A wind flow sensing system for determining a turbulence of wind flow at a set of different altitudes above a terrain is provided. The wind flow sensing system comprises an input interface configured to receive a set of measurements of radial velocities at line-of-site points above the terrain for each of the altitudes for a set of time steps, and a processor configured to estimate velocity fields for each of the altitudes based on data assimilation of the velocity fields, estimate unbiased horizontal velocities at each of the altitudes and for each time step, determine an average of the unbiased horizontal velocities for a period of time including the set of time steps, and determine, at each of the altitudes, a turbulence based on the unbiased horizontal velocities for each time step and the average of the unbiased horizontal velocity.

This invention relates to system for determining the wind yaw misalignment of a horizontal axis on-shore wind turbine comprising the wind turbine, a lidar, a topographical station, an external computing unit and a telecommunication network connecting them. Said wind turbine further comprises two target points made of reflective materials placed on the external surface of the nacelle on its side facing the ground, such that be detected by the topographic station. The lidar is configured to determine wind direction angle in respect to the north and wind speed, the topographic station is configured to determine the geographical position and orientation of the pair of target points. The lidar and the topographical station communicate the values determined to the external computing unit.

A wind flow sensing system for determining wind flow at a set of different altitudes above a terrain is provided, The wind flow sensing system comprises an input interface configured to receive a set of measurements of radial velocities at line-of-site points above the terrain for each of the altitudes, and a processor configured to estimate velocity fields for each of the altitudes based on data assimilation of the velocity fields above an approximation of the shape of the terrain with a set of one or multiple convex shapes to fit the measurements of radial velocities and estimate horizontal velocities at each of the altitudes as a horizontal projection of the corresponding radial velocities corrected with corresponding horizontal derivatives of vertical velocities of the estimated velocity fields. The wind flow sensing system further comprises an output interface configured to render the estimated horizontal velocities at each of the altitudes.

A fluidic structure configured to be mounted onto the hub of a fluidic turbine comprising a hub that rotates about a center axis, aligned to a main shaft that contributes torque to the main shaft of the turbine via the principle of lift and/or drag. The fluidic structure is mounted onto the hub of a primary turbine that contributes torque to the main shaft through increasing at least one of lift and drag, and the fluidic structure includes two or more curved fluidic elements that extend from an upstream tip that aligns to the center axis of rotation, to a downstream end at a radial position away from the center axis, and rotates about the center axis to contribute torque to the primary turbine; and a sensor positioned at or proximate to an upstream tip of the fluidic structure for determining environmental and turbine conditions and transmits information to a supervisory control and data acquisition system of the primary turbine.

A method of controlling a wind turbine having one or more blades comprising a LIDAR system is also provided, the method comprising determining a wind parameter based on LIDAR measurements, determining a control parameter of the wind turbine based on the wind parameter, and controlling the wind turbine in accordance with the wind parameter.