A wind turbine including a rotor, a nacelle, a generator, and a wind sensor is provided, wherein the wind sensor is arranged above a part of the generator that extends between the rotor and the nacelle. Furthermore, a wind farm including a plurality of interconnected wind turbines is described. Yet further, a method of assembling or modifying a wind turbine is described.

In one embodiment, a plant includes a combustor to burn fuel with oxygen from an inlet guide vane (IGV) to generate a gas for a gas turbine (GT), and a heat recovery steam generator to use an exhaust gas from GT to generate steam for a steam turbine (ST). An apparatus controls an IGV opening degree to a first degree and a GT output value to a value larger than a first value between GT start and ST start. The first value is an output value at which exhaust gas temperature can be kept at a first temperature that depends on ST metal temperature, when the IGV opening degree is the first degree. The apparatus increases the IGV opening degree from the first degree based on steam temperature or the GT output value, while the GT output value is controlled to the value larger than the first value.

The present invention provides a hydraulic turbine cavitation acoustic signal identification method based on big data machine learning. According to the method, time sequence clustering based on multiple operating conditions under the multi-output condition of the hydraulic turbine set is performed by utilizing an neural network, characteristic quantities of the hydraulic turbine set under a steady condition in a healthy state is screened; a random forest algorithm is introduced to perform feature screening of multiple measuring points under steady-state operation of the hydraulic turbine set, optimal feature measuring points and optimal feature subsets are extracted, finally a health state prediction model is constructed by using gated recurrent units; whether incipient cavitation is present in the equipment is judged. The present invention can effectively identify the occurrence of incipient cavitation in the hydraulic turbine set, reducing unnecessary shutdown of the equipment and prolonging the service life.

A wind turbine is disclosed which comprises a control system configured to execute at least one ice removal routine which comprises a heating stage of at least one of the blades (3), and a mechanical removal ice stage. A wind turbine removing ice method is also disclosed which comprises a stage wherein the presence of ice is detected on at least one of the blades and, once said presence of ice is detected, comprises a stage wherein at least one ice removal routine is activated which comprises, in turn, a heating stage of at least one of the blades and a mechanical removing ice stage on at least said blade.

A self-inspection method for a hydraulic control turning system of a generator rotor includes: establishing a length dimension relationship table among a plurality of hydraulic cylinders of the hydraulic control turning system; selecting a reference hydraulic cylinder, and acquiring a reference length dimension when the reference hydraulic cylinder is located at a target working position, the target working position is a position at which a turning pin corresponding to the reference hydraulic cylinder is inserted into an adapted hole; and performing a function inspection of a motion execution module in sequence by the plurality of the hydraulic cylinders, based on the reference length dimension and the length dimension relationship table.

A system and method are provided for controlling a wind turbine. Accordingly, a controller of the wind turbine determines a thermal gradient of the tower due to solar heating. The controller also determines a displacement of a reference point of the wind turbine from a nominal position resulting from a thermal expansion of a portion of the tower. The displacement includes a displacement magnitude and a displacement direction. The displacement direction is in a radial direction opposite of a maximal peak of the thermal gradient. Additionally, the controller determines a correction factor corresponding to the displacement and a setpoint for a component of the wind turbine based, at least in part, on the correction factor. Finally, an operating state of the wind turbine is established based, at least in part, on the setpoint.

A measuring device for wave energy conversion performance of a comb-typed permeable breakwater with arcuate walls is provided. The measuring device includes four parts: the comb-type permeable breakwater with arcuate walls, a wave height measuring instrument and pressure sensor fixing and adjusting apparatus, a wave height measuring instrument data collecting and processing apparatus and a pressure sensor data collecting and processing apparatus. The comb-typed permeable breakwater includes combined arc-shaped caissons, partition plates, a back plate, a fixing bottom plate and fixing screws. The wave height measuring instrument data collecting and processing apparatus processes data collected by a wave height measuring instrument and outputs for display. The pressure sensor data collecting and processing apparatus analyzes data collected by a pressure sensor and outputs for display. The measuring device has a stable structure, convenient operation and high experimental accuracy.

An inspection method according to the present disclosure includes a step of mounting an ultrasonic probe, a step of mounting a pulser receiver, a step of causing the ultrasonic probe to transmit ultrasonic waves, a step of causing the ultrasonic probe to receive a reflected wave of the ultrasonic waves reflected by the wind turbine blade, a step of causing the pulser receiver to acquire reflected-wave data, a step of causing the pulser receiver to wirelessly transmit the reflected-wave data, a step of causing at least one of antennas to receive the wirelessly transmitted reflected-wave data, and a step of causing an information processing device electrically connected to the at least two antennas to perform information processing on the reflected-wave data.

The disclosed hydroelectric power generation system includes a waterwheel rotated by falling water having multiple curved portions. Multiple circular members each having a cover are loaded in a corresponding one of the multiple curved portions, elevated with the cover in an open position to empty the circular member, filled with water upon reaching a top dead point thereof, and allowed to fall freely with the cover in a closed position. The cover of the circular members are automatically opened and closed. A track extends downwardly from a point at which the curved portion of the waterwheel is turned into a downwardly inclined position. The track guides the circular member to move by gravity along the track. A feed track allows the circular members to be supplied back to respective curved portions during rotation of the waterwheel. An output shaft of a gear train drives a generator.

The present invention relates to a self-powered remote control system for a smart valve, the system comprising: a smart valve for regulating the flow of a fluid in a pipe; a sensing module for sensing the flow rate, pressure, and temperature of the fluid in the pipe; a power generation module for generating power according to the flow of the fluid; a control module for controlling the lifting or lowering of the opening/closing plate of the smart valve according to the flow rate, pressure, or temperature state sensed by the sensing module; and an administrator terminal for transmitting and receiving control signals to and from the control module, wherein the power generation module comprises: a conical fluid guide member provided in a direction in which the fluid is supplied; and a rotating member rotated by the fluid guided through the fluid guide member, whereby the operation of the smart valve can be controlled by manipulating the administrator terminal at a remote location, so as to supply the fluid into the pipe or intercept the supply of the fluid into the pipe.