A condition monitoring device for a wind turbine power generating apparatus provided with an auxiliary motor power supply system including a power-supply-side line connected to a power supply and a plurality of auxiliary-motor-side lines diverging from the power-supply-side line and connected to a plurality of auxiliary motors, respectively, comprises: a current measurement device for measuring a current flowing through the power-supply-side line; and a control device for controlling the plurality of auxiliary motors. The control device is configured to, when a generator of the wind turbine power generating apparatus is in a standby state where power generation is stopped at a low wind speed, execute a single sequential operation mode in which each of the plurality of auxiliary motors is singly and sequentially operated. The current measurement device is configured to measure a current flowing through the power-supply-side line during execution of the single sequential operation mode by the control device.

A machine and process to compress ambient air using natural swell of ocean waves to store energy. The devise is a bi-directional air pump operated by ocean wave power of water buoyancy as well as earth gravity in a pressure vessel using a piston. The machine uses a large surface area as float connected by a rod to a small area as piston, housed in a pressure vessel to multiply compression of air. The compression of air is directly proportional to the respective surface areas of float to the piston attached with a rod inside the pressure vessel. An array of similar machines can be employed to multiply potential energy output.

A blade pitch controller for a wind turbine includes a nominal control system and a tower feedback loop. The tower feedback loop includes a filtering system. The filtering system is arranged to control wind turbine blade pitch so as to provide additional effective stiffness to the wind turbine in response to motion of the wind turbine which is above a filter frequency of the filtering system.

The present invention relates to a damper unit for damping oscillations of a tower structure when secured thereto, the damper unit comprising a damper unit structure adapted for attachment to the tower structure, a pendulum structure, a suspension arrangement for suspending the pendulum structure from the damper unit structure such that the pendulum structure is allowed to displace from a neutral position for the pendulum structure, the suspension arrangement comprising one or more wires for suspending the pendulum structure, a sensor adapted for measuring oscillations of the tower structure, and tuning means configured for adjusting the natural frequency of the suspended pendulum structure in response to measured oscillations of the tower structure. The present invention further relates to an associated method.

Embodiments according to the invention describe a method for monitoring the state of the powertrain or tower of a wind turbine (10), said method having the steps of: detecting data of a state monitoring system which is provided for a structure of the wind turbine (10), said structure being mechanically coupled to the powertrain or tower; processing the detected data of the state monitoring system which is provided for the structure of the wind turbine (10), said structure being mechanically coupled to the powertrain or tower; and determining the state of the powertrain or tower from the processed data of the state monitoring system which is provided for the structure of the wind turbine (10), said structure being mechanically coupled to the powertrain or tower.

A wave energy capture system deployed in water converts mechanical motion induced by waves in the water to electrical energy. A controller of the wave energy capture system receives input regarding real-time wave conditions in a vicinity of the wave energy capture system. The controller applies a control model to the received input to select a value of a control parameter for the wave energy capture system, where the control model includes a model that has been trained using machine learning to take wave condition data as input and to output control parameter values selected based on the wave condition data in order to increase an amount of energy captured by the wave energy capture system. The controller implements the selected value of the control parameter on the wave energy capture system.

An adjustable multi-functional bottom-hinged flap-type wave energy utilization device includes at least three wave energy conversion devices arranged in parallel and with adjustable spacing. Each wave energy conversion device includes a wave energy conversion component, a direction adjustment component for adjusting a wave-facing direction of the wave energy conversion component, and a height adjustment component for adjusting a height of the wave energy conversion component. The wave energy conversion component includes a mounting base plate, a transmission shaft arranged on the mounting base plate, a wave energy flap that can drive the transmission shaft to rotate, a generator connected to the transmission shaft, a hydraulic oil cylinder positioned on a back surface of the flap for pushing the flap to reset, and a wave monitor arranged on the mounting base plate for monitoring a draught and a wave direction angle of the flap.

A controller is provided for a floating wind turbine including a rotor with a number of rotor blades connected to a generator. The controller includes an active damping controller for calculating one or more outputs for damping both a first motion of the floating wind turbine in a first frequency range and a second motion of the floating wind turbine in a second frequency range based on an input of the first motion and an input of the second motion, The controller is arranged to calculate an output for controlling a blade pitch of one or more of the rotor blades and/or for controlling a torque of the generator based on an actual rotor speed, a target rotor speed, and the one or more outputs from the active damping controller such that both the first motion and the second motion will be damped.

In one or more embodiments, a wave energy converter comprises a floater that is buoyant in a body of water. The floater has a geometry such that the floater pitches in an angular motion about a transverse axis in response to an incoming wave in the body of water. The floater includes a tank that has a plurality of vertical columns. At least one of the vertical columns includes an air turbine. The tank stores a volume of fluid and a volume of air. The volume of fluid in the vertical columns is connected by at least one horizontal conduit. In response to the floater pitching due to the incoming wave, a motion of the volume of fluid between the plurality of vertical columns via the at least one horizontal conduit causes air to be released or admitted via the air turbine to generate electrical power.

The present disclosure relates to a method for operating a wind power installation, in particular for identifying unusual oscillation events, and an associated wind power installation and a wind farm. The method comprises the steps of: providing a parametrized limit for a value of an observed oscillation of a component of the wind power installation; determining a current limit from the parametrized limit taking account of at least one current ambient parameter, in particular an ambient parameter that is indicative for the current incident flow; determining a current value of the observed oscillation of the component; comparing the current value of the observed oscillation of the component with the current limit; and operating the wind power installation on the basis of the result of the comparison.