The present disclosure is directed to a system and method for micrositing a wind farm having a plurality of wind turbines. The method includes (a) determining, via a loads optimization function, one or more wind directions with or without turbine shadow for each of the wind turbines in the wind farm, (b) determining, via the loads optimization function, at least one additional wind parameter for each of the wind directions, (c) calculating, via simulation, loads for each of the wind turbines in the wind farm based on the identified wind directions with or without turbine shadow for each of the wind turbines in the wind farm and the at least one additional wind parameter for each of the wind directions, and (d) determining a site layout for the wind farm based on the calculated loads.

A method of controlling a plurality of wind turbines of a wind park includes: determining an axial induction zone of at least a wind turbine of the wind park; and modifying the axial induction zone for controlling wind farm blockage by adjusting at least one of the following operational variables: a yaw angle of a blade rotor of the wind turbine, a pitch offset angle of at least one blade of the blade rotor, a rotor speed of the blade rotor.

A method for controlling an inclination of a floating wind turbine platform to optimize power production, or to reduce loads on the turbine, tower, and platform, or both, includes receiving data associated with the inclination of the floating wind turbine platform and wind speed and direction data. An angle of difference between the turbine blade plane and the wind direction is determined, where the angle of difference has a vertical component. A platform ballast system is then caused to distribute ballast to reduce the vertical component to a target angle chosen to optimize power production, or reduce turbine, tower, and platform loads, or both.

Determination of Wind Turbine Configuration The present invention relates to a method and computer system for determining a configuration of a wind turbine of a given wind turbine type, the method comprising the steps of: storing in a database a plurality of combinations of physical and control parameters of the wind turbine that can be varied; determining a plurality of wind flow characteristics at a target location; applying a function which defines a relationship between a performance parameter, a fatigue life estimation, the combination of physical and control parameters and the plurality of wind flow characteristics, to at least some of the plurality of combinations in the database to determine values of the performance parameter and the fatigue life estimation for those combinations; and selecting one of the combinations of physical and control parameters as the configuration of the wind turbine for the target location on the basis of the performance parameter and fatigue life estimation values.

A wind detection apparatus detects wind vectors across a predetermined area at high resolution from a floating support. The apparatus includes a Doppler-based wind vector detection unit configured to detect wind direction, velocity, and turbulence, at selected intervals over the predetermined area. A stabilizer supports the wind vector detection unit and is configured to hold it level relative to a predetermined two-dimensional plane. A processor is provided for rendering the wind vector data into a combined representation of wind patterns across the predetermined area, and the processor continuously updates the rendered combined representation of wind patterns in tandem with the detection unit.

The present disclosure is directed to systems and methods for generating one or more farm-level power curves for a wind farm that can be used to validate an upgrade provided to the wind farm. The method includes operating the wind farm in a first operational mode. Another step includes collecting turbine-level operational data from one or more of the wind turbines in the wind farm during the first operational mode. The method also includes aggregating the turbine-level operational data into a representative farm-level time-series. Another step includes analyzing the operational data collected during the first second operational mode. Thus, the method also includes generating one or more farm-level power curves for the first operational mode based on the analyzed operational data.

A method for protecting a wind turbine from an extreme change in wind direction includes receiving a wind direction and/or a wind speed at the wind turbine. When a change in the wind direction or the wind speed exceeds a predetermined threshold, the method includes determining a margin to stall and/or zero lift of the at least one rotor blade of the wind turbine as a function of an angle of attack or change in the angle of attack at a blade span location of at least one rotor blade of the wind turbine. The method also includes implementing a corrective action for the wind turbine (without shutting down the wind turbine) when the margin to stall and/or zero lift exceeds a predetermined value so as to avoid stall and/or negative lift on the at least one rotor blade during operation of the wind turbine.

A method for operating a wind turbine includes determining at least one wind condition of the wind turbine for a plurality of time intervals. The method also includes determining a status of the wind turbine at the beginning of each of the plurality of time intervals. Further, the method includes determining at least one vibration parameter of the wind turbine for one or more preceding time intervals of the plurality of time intervals. Moreover, the method includes predicting whether a trip event is imminent based on the at least one wind condition, the status of the wind turbine at the beginning of each of the plurality of time intervals, and the vibration parameter. Thus, the method further includes implementing a control action for the wind turbine so as to prevent the trip event.

Systems and methods include a method for optimizing real-time energy use, including balancing steam and condensate. Real-time equipment readings are received from plural pieces of equipment at a facility. A steam and condensate balancing model is executed using the real-time equipment readings. The steam and condensate balancing model uses specialized optimizer engine code to balance steam output and condensate output. A set-point optimization model is executed with selection optimization turned off to identify optimum values for boilers, STGs, letdowns, and deaerators. The set-point optimization model is executed with selection optimization turned on to identify optimized settings for drivers of turbines and motors. Setting updates are provided to the plural pieces of equipment based on the executing.

Provided is an underwater floating-type ocean current power generation device whereby cyclical directional vibration of a floating body of the ocean current power generation device, caused by shadow moment, can be suppressed. An underwater floating type ocean current power generation device includes ocean current power generation device main bodies, each including a rotor of a power generator housed in a nacelle, and a structure. The rotor is configured to be driven by a rotary blade protruding outward from the nacelle. A twin drum floating body capable of floating underwater is constituted by the structure and the ocean current power generation device main bodies joined to the left and right of the structure. The underwater floating type ocean current power generation device is moored to an ocean floor by a mooring rope.