A wind turbine having one or more magnets for reducing friction between the turbine support and a turbine rotor. The reduction of friction between the turbine rotor and the turbine support allows for an increase in energy production and scale of the wind turbines. The magnet configuration employs a ring of cylindrically-shaped magnets at the bottom and opposed by a corresponding number of generally rectangular-shaped magnets. Bearing magnets are also employed for axial stabilization.

A modular system for a small-scale data center may be manufactured offsite and assembled within the housing of a wind turbine. The modular configuration allows for more rapid design, construction, and operation of the system for turnkey projects. The modular system employs optimized features to take advantage of wind turbine power and is structured for effective cooling. The modular data center system also has connectivity for maintenance oversight, remote management, communication between multiple modular wind turbine and data center systems, and power backup to ensure consistent operation as needed.

The present invention relates to a wind-water-light-magnetism-air five-energy integrated power generation device that comprises fan blades, a power generation device and a rotary shaft and further comprises a base, guide rail posts, fan blade rails and a tower. The barrel-shaped tower is concentrically and externally sleeved with the rotary shaft and is vertically fixed at the top of the base. The fan blade rails are disposed concentrically with the rotary shaft above the base, the guide rail posts are vertically fixed around the base two ends of the elongated fan blades are respectively fixed on the corresponding positions of the upper and lower guide rails, the top of the rotary shaft protrudes from the tower, and the protruding section of the rotary shaft is fixedly connected with the fan blades through two ends of a rod-shaped tower rod.

The present invention relates to a wind-water-light-magnetism-air five-energy integrated power generation device that comprises fan blades, a power generation device and a rotary shaft and further comprises a base, guide rail posts, fan blade rails and a tower. The barrel-shaped tower is concentrically and externally sleeved with the rotary shaft and is vertically fixed at the top of the base. The fan blade rails are disposed concentrically with the rotary shaft above the base, the guide rail posts are vertically fixed around the base two ends of the elongated fan blades are respectively fixed on the corresponding positions of the upper and lower guide rails, the top of the rotary shaft protrudes from the tower, and the protruding section of the rotary shaft is fixedly connected with the fan blades through two ends of a rod-shaped tower rod.

A wind turbine pitch drive system comprises an electric grid for supplying electrical power, a motor for driving a pitch actuator, an electronic converter for controlling the motor and a back-up energy storage unit for supplying electrical power. The electronic converter comprises a DC-link capacitor bank. The system furthermore comprises a switching device for selectively connecting the DC-capacitor bank link to the back-up energy storage unit, and a frequency generator for controlling the switching device. Also disclosed is a method for protecting a component of the electronic converter.

The invention is a method for controlling and/or monitoring a wind turbine 1 equipped with a LIDAR sensor 2. Control and/or monitoring provides an estimation of the wind speed at the rotor obtained an estimator and a LIDAR sensor 2. The estimator of the wind speed at the rotor is constructed from a representation of the wind, a model of the LIDAR sensor and a model of wind propagation.

It comprises a rotor and a stator that they both may be formed of a single piece or they may be formed of a number of sectors. The generator further comprises at least one active module unit as an independent unit from both the rotor and the stator. The active module unit includes at least one permanent magnet, a magnet support structure attached thereto, a first attaching mechanism to removably attach the magnet support structure to the rotor or the stator, at least one coil module comprising at least one coil winding and a magnetic core, and a second attaching mechanism to removably attach the coil module to the other of the rotor or the stator. The coil module is spaced apart from the permanent magnet a predetermined distance.

A roof system that includes a roof covering in the form of planting areas, a water storage, a wind turbine, a water turbine, a solar panel, and a water heater. The roof system includes a plurality of ceramic chambers each including a wind turbine and a recess for housing a planter area.

A method for operating a wind farm is provided. The wind farm includes at least two groups of wind turbines, each of the at least two groups of wind turbines includes at least one wind turbine of the wind farm, each of the wind turbines of the wind farm belonging to one of the at least two groups of wind turbines. The method includes determining a power setpoint for the wind farm, determining a group curtailment setpoint for each of at least two groups of wind turbines, determining a power production value of each of the at least two groups of wind turbines, determining for each of the at least two groups of wind turbines a power reference value using the respective group curtailment setpoint and the respective power production value, determine for each of the at least two groups of wind turbines a group power setpoint which is proportional to the respective power reference values, and operating the at least two groups of wind turbines in accordance with the respective group power setpoint. Furthermore, a wind farm is provided.

The present disclosure is directed to systems and methods for automatically calibrating a load sensor system of a wind turbine and determining health of same. In one embodiment, the method includes receiving a plurality of sensor signals generated by the plurality of load sensors from the load sensor system. The method also includes determining, via a computer model, a load estimation of the wind turbine based on the sensor signals, turbine geometry, and one or more additional input parameters (e.g. rotor azimuth angle, pitch angle, rotor position, etc.). Another step includes comparing the load estimation to a load measurement to determine one or more correlation coefficients. Thus, the method also includes calibrating the plurality of sensors in the load sensor system based on the correlation coefficients.