A dynamic adaptive mooring system for wave energy converters (WEC) is disclosed that has a mooring configuration that has a set of fixed mooring lines, and a set of movable mooring lines. When an incoming wave train interacts with the fixed WECs, a set of wave interference points that have higher wave amplitudes than the incoming wave train are formed downstream of the fixed WECs. The movable WECs are then positioned at the interface points to optimize wave energy transfer.

A condition monitoring system includes a monitoring terminal, an acceleration sensor, and a data processor. The data processor calculates a diagnostic parameter from data measured by the acceleration sensor, determines a degree of damage to a bearing or a gear included in a wind turbine generator based on the diagnostic parameter, and controls the monitoring terminal to show information indicating a degree of suppression of electric power generated by the wind turbine generator in accordance with the degree of damage to the bearing or the gear.

A measuring arrangement for detecting deformations, in particular bending of the outer surface, of a wind turbine structural element, includes: at least two measurement sites on the structural element spaced apart from one another toward a structural element extension, each having at least one acceleration sensor, that can be communication-connected—preferably via a wireless interface—to an evaluation device. The measuring arrangement—has at least two speed sensors, in particular angular speed sensors, on the structural element and spaced apart from one another toward a structural element extension, preferably the longitudinal extension, and/or the measuring arrangement has at least two position sensors, in particular magnetic field sensors, on the structural element and spaced apart from one another toward a structural element extension, preferably the longitudinal extension. The speed sensors and/or the position sensors can be communication-connected to the evaluation device—preferably via a wireless interface.

A method for wind turbine tower damping is disclosed, as well as an associated controller and wind turbine. The method comprises determining, using one or more sensor signals, dynamic state information for a tower of a wind turbine during power production, wherein the dynamic state information comprises a tower frequency. The method further comprises determining at least one control loop gain value using the tower frequency, and generating, using the at least one control loop gain value, one or more control signals for controlling a rotational speed of a rotor of the wind turbine.

A method of controlling at least one adaptable airflow regulating system, in particular spoiler and/or flap, of at least one rotor blade of a wind turbine having a wind turbine tower includes: determining a quantity related to a distance between the rotor blade and the wind turbine tower; controlling the airflow regulating system based on the quantity.

A method for damping vibration in a wind turbine including aerodynamic devices for influencing the airflow flowing from the leading edge of a rotor blade of the wind turbine to the trailing edge of the rotor blade, each aerodynamic device being movable by an actuator between a first protruded configuration and a second retracted configuration is provided. The method includes measuring vibrations in the wind turbine, if the measured vibrations are greater than a threshold within a predefined frequency band, moving a portion of the aerodynamic devices to the second retracted configuration and continuing to measure vibrations, if the measured vibrations are still greater than a threshold within a frequency band, reducing the pitch angle interval of the blade and continuing to measure vibrations, if the measured vibrations are still greater than a threshold within a frequency band, moving all the aerodynamic devices to the second retracted configuration.

Provided is a method of determining an inclination angle of a wind turbine tower at which a nacelle is mounted, the method including measuring plural acceleration values of an acceleration of the nacelle in a predetermined direction relative to the nacelle for plural yawing positions of the nacelle; deriving the inclination angle based on the plural acceleration values.

A dynamic adaptive mooring system for wave energy converters (WEC) is disclosed that has a mooring configuration that has a set of fixed mooring lines, and a set of movable mooring lines. When an incoming wave train interacts with the fixed WECs, a set of wave interference points that have higher wave amplitudes than the incoming wave train are formed downstream of the fixed WECs. The movable WECs are then positioned at the interface points to optimize wave energy transfer.

This document discloses a solution for analysing cavitation in a hydro turbine of a hydroelectric power plant. According to an aspect, a method comprises: measuring, by using at least one motion sensor coupled to a rotor of the hydro turbine, motion of the rotor during operation of the hydro turbine and thereby generating measurement data; acquiring, by at least one processor, the measurement data and one or more operational parameters of the hydro turbine employed during said measuring, the one or more operational parameters indicative of power supply of the hydro turbine; computing, by the at least one processor on the basis of the measurement data and the operational parameters, at least one metric indicative of an effect of the cavitation on the hydro turbine; comparing, by the at least one processor, the at least one metric with at least one threshold and determining, on the basis of the comparison, that the effect of the cavitation is too high; and outputting, by the at least one processor on the basis of said determining, information indicating unsuitability of the one or more operational parameters.

Systems, methods, and computer program products for determining an inclination of a wind turbine tower based on acceleration measurements by an accelerometer operatively coupled to a nacelle of the wind turbine. Acceleration data is collected from the accelerometer, which is configured to sense acceleration along an accelerometer axis while the nacelle is in each of a plurality of yaw positions. The nacelle is rotated in steps to each yaw position and stopped for a period of time. While the nacelle is stopped, acceleration data is collected, and a static level of acceleration determined along the accelerometer axis due to gravity. Once acceleration data has been collected at each of the positions, the minimum and maximum acceleration levels are identified. The inclination of the tower is then determined based on the minimum and maximum acceleration levels.