A system for generating power includes an environmental engine operating on one or more computing devices that determines a wind flowing over a blade of a wind turbine, wherein the wind flowing over the blade of the wind turbine varies based on environmental conditions and operating parameters of the wind turbine. The system also includes an artificial intelligence (AI) ensemble engine operating on the one or more computing devices that generates a plurality of different models for the wind turbine. Each model characterizes a relationship between at least two of a rotor speed, a blade pitch, the wind flowing over the blade, a wind speed and a turbulence intensity for the wind turbine. The AI ensemble engine selects a model with a highest efficiency metric, and simulates execution of the selected model to determine recommended operating parameters.

A ceiling fan includes a fan body, a sensing unit and a control unit. The fan body includes a base seat, a plurality of fan blades mounted to the base seat, and a motor mounted to the base seat for driving rotation of the fan blades about the base seat. The sensing unit includes an outer casing, a room temperature sensor, and a body temperature sensor. The control unit is mounted to the fan body, in communication with the room temperature sensor, the body temperature sensor and the motor, and operable to adjust a rotational speed of the fan blades by controlling the motor according to a room temperature and a body temperature respectively sensed by the room temperature sensor and the body temperature sensor.

A system for generating power includes an environmental engine operating on one or more computing devices that determines a Reynolds number for a wind turbine, wherein the Reynolds number characterizes wind flowing over a blade of the wind turbine that varies based on the wind speed, a rotor speed and characteristics of the blade of the wind turbine. The system also includes an artificial intelligence (AI) ensemble engine operating on the one or more computing devices that generates a plurality of different models for the wind turbine. Each model characterizes a relationship between the rotor speed and a blade pitch for the wind turbine, the Reynolds number, wind speed and turbulence intensity for the wind turbine. The AI ensemble engine selects a model with a highest efficiency metric; and simulates execution of the selected model to determine recommended operating parameters.

According to an embodiment of the present invention there is provided an apparatus for monitoring an ambient environment of a wind turbine. The apparatus comprises a cooling system comprising first and second heat exchangers, and a fluid circuit arranged to enable coolant to flow between the first and second heat exchangers. The apparatus further comprises a processor configured to: monitor one or more operational parameters of the cooling system; measure an efficiency of the cooling system based on the monitored one or more operational parameters; and calculate a liquid water content of the ambient environment based on the measured efficiency of the cooling system.

Temperature Control Based on Weather Forecasting Examples are generally directed to techniques for controlling a temperature of a blade, such as a blade in a wind turbine system. One example of the present disclosure is a method of controlling a temperature of a blade. The method includes inputting current weather conditions and future weather conditions into a processor, generating a first power production, generating a second power production curve based on future weather conditions, comparing the first power production curve to the second power production curve, determining which power production curve minimizes a new power production loss of the blade, and adjusting a heating cycle of the blade based on the power production curve that minimizes the net power productions loss of the blade.

It is described a method for determining a characteristic of air flow close to a surface of a rotating blade of a wind turbine, the method including: measuring at least one value of the temperature of air close to the surface of the blade; and deriving the characteristic of the air flow based on the temperature value.

Examples are generally directed to techniques for controlling a temperature of a blade in a wind turbine system. One example of the present disclosure is a method of controlling a temperature of a blade in a wind turbine system. The method includes setting a target temperature, inputting physical conditions of the blade and ambient conditions about the blade into a processor, outputting a minimum amount of energy to a heating element of the blade required to reach the target temperature based on the physical conditions and ambient conditions, and adjusting the energy provided to the heating element to reach the target temperature.

The invention relates to a method for improving reporting of operational data of a wind turbine during operation thereof; said method comprising the steps of: allowing an array of sensors to sense one or more specific parameter values of said wind turbine during operation thereof; in respect of one or more sensors, transmitting said parameter value being sensed to a control system; allowing said control system to register a critical event in case a sensed parameter value, or a combination of two or more sensed parameter values, represents a situation in which it is desired to shut down the wind turbine according to one or more predetermined criteria; allowing said control system to set a specific alarm at a point in time at which a specific critical event is registered; and allowing said control system to reset said specific alarm at a point in time at which the registration of the presence of said critical event ceases; wherein each specific alarm is associated with a corresponding alarm ID; wherein said alarms IDs are grouped into different sectors; each sector belongs to a specific part of the wind turbine or its installation or operation; wherein information from said control system relating to settings and resetting of one or more alarms corresponding to an individual alarm ID is being transmitted to a monitoring system which is configured for logging and storing such information; wherein said method furthermore comprises the steps of: i) in respect of one or more alarm IDs, allowing said monitoring system to register a time stamp in respect of each setting of said alarm ID and to register a time stamp in respect of each resetting of said alarm ID; ii) in respect of a specific sector, allowing said control system to count the amount of time at which no alarm IDs belonging to that specific sector is set, and to transfer information relating to such counting to said monitoring system; iii) in case the monitoring system detects that counting in step ii) has stopped in respect of a time range at which no alarms belonging to that specific sector is logged as being set, allow the monitoring system to register that the wind turbine in respect of said specific sector is not operating properly in a period of time corresponding to that range in time.

A method for adjusting a multi-dimensional operating space of a wind turbine includes receiving, via a central multi-dimensional operating space controller, a plurality of signals from a plurality of requestors of modified operating space. Each of the plurality of signals includes a data structure having requested set points for a plurality of dimensions in the operating space. The method also includes tracking, via the central multi-dimensional operating space controller, current set points for the plurality of dimensions in the operating space. Further, the method includes dynamically determining, via the central multi-dimensional operating space controller, an output signal based on the requested set points, the output signal comprising one or more changes for the current set points for the plurality of dimensions in the operating space. Moreover, the method includes controlling the wind turbine based on the output signal so as to provide a modified multi-dimensional operating space.

Method for de-icing at least one rotor blade of a rotor of a wind power installation, wherein the rotor is able to be operated at a variable rotating speed and the wind power installation generates an output from wind, said method comprising the following steps: checking for an icing situation on the at least one rotor blade, and changing from a normal operation of the wind power installation without de-icing to a de-icing operation if an icing situation has been identified; wherein in the de-icing operation the at least one rotor blade is heated for de-icing, and the rotating speed and/or the generated output are/is reduced as a function of at least one environmental condition of the wind power installation; wherein the at least one environmental condition is selected from the list including an external temperature of the wind power installation and a wind speed in the region of the wind power installation.