Abstract: A method for real-time prediction of wind conditions across a wind farm comprising a plurality of wind turbines, the wind farm being arranged at a wind farm site, is disclosed. A first library of site specific mean wind flow patterns related to the wind farm site, and a second library of non-site specific turbulence patterns, are provided. Weather data is measured at a plurality of positions within the wind farm site, and based on the measured weather data, a mean wind flow pattern is selected based on the first library and a turbulence pattern is selected based on the second library. A site specific wind flow field across the wind farm site is modelled, based on the selected mean wind flow pattern and the selected turbulence pattern, and wind conditions across the wind farm are predicted, based on the site specific wind flow field.

Abstract: A method for real-time prediction of wind conditions across a wind farm comprising a plurality of wind turbines, the wind farm being arranged at a wind farm site, is disclosed. A first library of site specific mean wind flow patterns related to the wind farm site, and a second library of non-site specific turbulence patterns, are provided. Weather data is measured at a plurality of positions within the wind farm site, and based on the measured weather data, a mean wind flow pattern is selected based on the first library and a turbulence pattern is selected based on the second library. A site specific wind flow field across the wind farm site is modelled, based on the selected mean wind flow pattern and the selected turbulence pattern, and wind conditions across the wind farm are predicted, based on the site specific wind flow field.

Abstract: A method for controlling a renewable energy farm comprising a plurality of wind turbines and at least one central control unit is disclosed. The wind turbines of the renewable energy farm are connected to a power grid. The central control unit receives a request for change in operation of at least one of the wind turbines, where execution of the change in operation causes a change in power output of the wind turbine. The central control unit checks whether or not the change in power output is in conflict with at least one obligation of the renewable energy farm towards the power grid. In the case that the change in power output is in conflict with at least one obligation of the renewable energy farm towards the power grid, execution of the change in operation is deferred.

Abstract: The present invention relates to an acoustic noise monitoring system for a wind turbine, comprising: a microphone for monitoring acoustic noise, the microphone adapted to be mounted to the exterior of a wind turbine nacelle; an input, the input adapted to receive operating conditions data from a wind turbine; a processor, the processor adapted to receive data from the microphone and the input; and storage memory, adapted to store the acoustic noise data and the operating conditions data. The processor is adapted to apply a transfer function to said acoustic noise data to correlate said data with a set of acoustic noise data measured at a remote location from the wind turbine. The system may comprise a controller adapted to generate a control signal, for outputting to a wind turbine controller, for adjusting the operating parameters of the wind turbine in dependence on said correlated data.

Abstract: The present invention relates to an acoustic noise monitoring system for a wind turbine, comprising: a microphone for monitoring acoustic noise, the microphone adapted to be mounted to the exterior of a wind turbine nacelle; an input, the input adapted to receive operating conditions data from a wind turbine; a processor, the processor adapted to receive data from the microphone and the input; and storage memory, adapted to store the acoustic noise data and the operating conditions data. The processor is adapted to apply a transfer function to said acoustic noise data to correlate said data with a set of acoustic noise data measured at a remote location from the wind turbine. The system may comprise a controller adapted to generate a control signal, for outputting to a wind turbine controller, for adjusting the operating parameters of the wind analyser turbine in dependence on said correlated data.

Abstract: A control system and a method for controlling operation of a wind turbine are disclosed. A first sensor and a second sensor are arranged for sampling or continuously measuring a first physical value and a second physical value being representative of a first physical impact and a second physical impact on components of the wind turbine in order to provide a first and a second control parameter for controlling operation of the wind turbine. The first and second control parameters are distinct. During active generation of energy the control system is adapted to selectively switch between controlling the operation of the wind turbine either on the basis of the first control parameter or on the basis of the second control parameter, i.e. to selectively switch between two different, distinct and independent control strategies. The two control strategies allow redundancy in control of the operation of the wind turbine.

Abstract: A control system for controlling operation of a wind turbine, a wind turbine having such a control system and a method for controlling a wind turbine are disclosed. The control system comprises a first sensor device and a second sensor device, each being arranged for measuring the same control parameter used for controlling operation of the wind turbine. The first sensor device has a first set of operating failure conditions, and the second sensor device has a second set of operating failure conditions. The first set of operating failure conditions comprises at least one operating failure condition which does not form part of the second set of operating failure conditions. The system further comprises a third sensor device for detecting an operating failure condition of the first sensor device and/or of the second sensor device.

Abstract: A control system and a method for controlling operation of a wind turbine are disclosed. A first sensor and a second sensor are arranged for sampling or continuously measuring a first physical value and a second physical value being representative of a first physical impact and a second physical impact on components of the wind turbine in order to provide a first and a second control parameter for controlling operation of the wind turbine. The first and second control parameters are distinct. During active generation of energy the control system is adapted to selectively switch between controlling the operation of the wind turbine either on the basis of the first control parameter or on the basis of the second control parameter, i.e. to selectively switch between two different, distinct and independent control strategies. The two control strategies allow redundancy in control of the operation of the wind turbine.

Abstract: The invention relates to a wind turbine configuration system, the configuration system being configured for processing a plurality configuration parameter settings, each setting being collected from the control system of one of a plurality of comparable wind turbines, wherein the configurations system comprises a processor arranged to analyse the plurality of configuration parameter settings so as to identify a preferred range of setting for the configuration parameter, the configuration system further being configured for initiating an optimization action of configuration parameter settings based on the identified preferred range(s) of setting(s). The invention further relates to a method of processing a plurality of configuration parameter settings, and a software programme product capable of performing the method.

Abstract: A method for ice detection for a wind turbine is provided. The method includes providing an ice condition threshold parameter adapted for distinguishing a condition during which icing may occur and a condition during which icing may not occur, measuring a wind velocity with a first anemometer, wherein the first anemometer being of a first type, measuring a wind velocity with a second anemometer, wherein the second anemometer being of a second type, and wherein the second type is different from the first type, evaluating, for a condition during which icing may occur, a deviation of the wind velocity measured with the first anemometer and the wind velocity measured with the second anemometer, and determine whether the deviation exceeds a limit value based on a calibration conducted under a condition during which icing may not occur.

Abstract: A method for ice detection for a wind turbine is provided. The method includes providing an ice condition threshold parameter adapted for distinguishing a condition during which icing may occur and a condition during which icing may not occur, measuring a wind velocity with a first anemometer, wherein the first anemometer being of a first type, measuring a wind velocity with a second anemometer, wherein the second anemometer being of a second type, and wherein the second type is different from the first type, evaluating, for a condition during which icing may occur, a deviation of the wind velocity measured with the first anemometer and the wind velocity measured with the second anemometer, and determine whether the deviation exceeds a limit value based on a calibration conducted under a condition during which icing may not occur.

Abstract: A technique for correcting measurement error in data produced by a nacelle-based anemometer and for determining free stream wind speed for a wind turbine involves ascertaining parameters related to the wind turbine and the operation thereof, and using the parameters and data from the nacelle based anemometer as inputs to an algorithm to provide for determination of corrected wind speed data.