Disclosed is a method for analyzing wind turbine blade coating fatigue due to rain erosion. According to the method, a stochastic rain field model is established, and the coating fatigue life of the wind turbine blades is calculated based on a crack propagation theory. The present patent innovatively develops a stochastic rain field model considering the shape, size, impact angle, and impact speed of raindrops to simulate the raindrop impact process, analyzes the impact stress of raindrops on the blade coating by using a smooth particle hydrodynamics method and a finite element analysis method, calculates the impact stress of all raindrops in the random rainfall process by using a stress interpolation method, and carries out fatigue analysis for the blade coating based on the impact stress.

A method for feeding electric power into an electric supply network using a wind park having wind power installations is provided. An expected power is determined for a predetermined feed-in period, where the expected power indicates a power value or temporal profile of power expected to be available to the park as power from wind in the predetermined feed-in period. An expected accuracy is determined and is a measure of how accurately the power reaches the expected power in the feed-in period. To determine the expected power, at least one expected wind variable representative of the expected wind speed is determined using a weather forecast, and the expected wind variable is additionally determined or verified, proceeding from the weather forecast, using a correction rule based on local weather data and/or operating data of the park. The expected power is determined on the basis of the expected wind variable.

A method for forecasting power production of at least one wind turbine, the wind turbine forming part of a wind farm arranged at a site. Global weather forecast data is received at a central data centre. A site specific forecast is then generated at the central data centre, based on the global weather forecast data. The site specific forecast from the central data centre is sent to a local data centre, e.g. arranged at the site of the wind farm. Site specific data is received at the local data centre and comprises site specific weather data and/or site specific wind turbine data measured at the site. The site specific forecast is then updated at the local data centre, using the site specific data. Finally, a power production forecast of the at least one wind turbine is generated based on the updated site specific forecast.

The present disclosure relates to a wind park (10) comprising wind turbines arranged in a convex polygon comprising straight sides (3, 4, 5) connecting vertices of the polygon. A node wind turbine (1a, 1b, 1c) of a first type is located at each vertex of the polygon. One or more intermediate wind turbine (2a, 2b, 2c, 2d) of a second type is/are located along each side (3, 4, 5) of the polygon between two node wind turbines. The polygon forms an interior area (A) within the sides (3, 4, 5). The interior area (A) is free of turbines of the first and second type.

A method for operating a wind turbine is provided. The wind turbine has a tower with external tower loads acting thereon and has an aerodynamic rotor with rotor blades having adjustable pitch angles, which rotor generates rotor thrust. The method comprises the following steps: determining a speed of a tower head of the tower and/or of a nacelle of the wind turbine, determining an absolute wind speed in the region of the wind turbine, determining a pure wind power on the rotor on the basis of the absolute wind speed, determining an apparent wind power on the rotor on the basis of the speed of the tower head and/or of the nacelle, determining an aerodynamic tower vibration power on the basis of a difference between the apparent wind power and the pure wind power, and performing feedback control of the wind turbine using the aerodynamic tower vibration power.

A method for controlling the rebuilding of an electrical supply network, wherein the electrical supply network has a first network section and at least one further network section, at least one wind farm is connected to the first network section, the wind farm can be controlled via a wind farm control room, the first network section is coupled to the at least one further network section via at least one switching device in order to transmit electrical energy between the network sections, the at least one switching device is set up to disconnect the first network section from the at least one further network section in the event of a fault, a network control station is provided for the purpose of controlling the at least one switching device, wherein, in the event of a fault during which a network fault acting on the first network section occurs, the first network section is disconnected from the at least one further network section by the at least one switching device, the wind farm control room interchanges data with the network control station via a control room connection, wherein the control room connection is a failsafe communication connection between the wind farm control room and the network control station and can be operated independently of the electrical supply network, in particular can be operated even in the case of the fault in the first network section, and the wind farm receives data from the network control station via a wind farm connection, wherein the wind farm connection is a failsafe communication connection between the wind farm and the network control station and can be operated independently of the electrical supply network, in particular can be operated even in the case of the fault in the first network section, and further data which are not transmitted via the control room connection and are not transmitted via the wind farm connection are transmitted via a further data connection provided that the latter has not failed.

A method for protecting a wind turbine from extreme and fatigue loads associated with high wind speed events includes receiving, via a wind turbine condition estimator programmed in a turbine controller of the wind turbine, operating data indicative of current wind turbine operation. Further, the method includes determining, via the wind turbine condition estimator, a plurality of estimated wind turbine conditions at the wind turbine by solving a control algorithm having one or more equations using the operating data. The estimated wind turbine conditions include, at least, an estimated wind speed at the wind turbine and a loading proxy of the wind turbine. As such, the method includes implementing, via the turbine controller, a corrective action only when each of the estimated wind turbine conditions indicates that one or more loading conditions of the wind turbine exceeds a predetermined limit.

A mesoscale modeling system and method that enables meteorologists to adjust forecasts to account for known biases of weather forecasting models and outputs high-resolution images consistent with the adjusted forecasts. The mesoscale modeling system and method may also use a weather forecasting model to forecast future weather events based on one or more adjustments provided by the meteorologists.

A mesoscale data-based automatic wind turbine layout method and device. The method comprises: initially screening an input wind field region on the basis of input mesoscale wind map data by means of a wind speed limit value to obtain a first wind field region; re-screening the first wind field region on the basis of input terrain data by means of a slope limit value to obtain a second wind field region; and determining, by means of tabu search in which a target wind turbine count and the second wind field region are used as inputs, a wind turbine layout that optimizes an objective function, wherein the objective function is the sum of the annual energy production for wind turbine locations.

This invention relates to an arrangement to optimize the production of hydrogen, the arrangement comprising at least a solar energy unit (12) and a wave and/or tidal energy recovery system (2), which are arranged to produce renewable energy, a water purification unit (5) and an electrolysis unit (9), which is arranged to produce hydrogen from pure water produced by the water purification unit (5), and the electrolysis unit (9) and the water purification unit (5) are powered by the renewable energy produced by the solar energy unit (12) and the wave and/or tidal energy recovery system (2). The arrangement comprises a buffer unit (6), into which pure water is supplied from the water purification unit (5) during periods when the production of the renewable energy exceeds the need of energy of the electrolysis unit (9).