A thermal assembly of a wind turbine is provided, including an external liquid-to-air heat exchanger arranged to lower the temperature of a liquid coolant in a coolant circuit which coolant circuit is arranged to convey the liquid coolant to a number of heat-dissipating components during operation of the wind turbine and a thermal assembly control arrangement realized to exclude the external liquid-to-air heat exchanger from the coolant circuit during an off-grid mode of the wind turbine. Also provided is a method of operating a wind turbine in an off-grid mode, the wind turbine including an embodiment of such a thermal assembly.

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.

A system for adjusting environmental operating conditions associated with heat generating components located within a tower of a wind turbine may include a heat generating component located within an interior of the tower, a sensor configured to monitor a heat exchange parameter associated with the wind turbine and a split heat exchange system provided relative to the tower. The split heat exchange system may include a first heat exchanger located within the interior of the tower and a second heat exchanger located exterior to the tower. The system may also include a controller communicatively coupled to the sensor and the split heat exchange system. The controller may be configured to control the operation of the split heat exchange system based at least in part on the monitored heat exchange parameter to adjust an environmental operating condition associated with the heat generating component.

A method for compensating the output power of wind turbine generator set includes acquiring the average values of the first ambient temperature of environments where the wind turbine generator set is located in various periods; collecting the output power of the wind turbine generator set at the end time of various periods; compensating the set output power collected at the end time of current period according to difference value between the average value of the first ambient temperature in the current period and that in the previous period so as to guarantee the stability of the set output power if the average value of the first ambient temperature in the current period and the average value of the first ambient temperature in the previous period both are higher than a preset temperature threshold value.

A method for predictive monitoring of the condition of wind turbines is disclosed. The method may include selecting at least one wind turbine inside a wind farm and at least one component of the wind turbine; acquiring SCADA data comprising operational data of the wind farm and temperature values of the at least one component of the wind turbine during a preselected time period, calculating differential data as a difference between the temperature values of the selected turbine component of the selected wind turbine and an average temperature of the selected wind turbine component in at least two wind turbines in the wind farm; defining a monitoring time period to monitor the component; calculating at least one predetermined statistic of the differential data during the monitoring time period, and saving the predetermined statistic as a monitoring feature; and testing if at least one monitoring feature exceeds a threshold value.

A method for determining an estimated flow rate of fluid flow in a pump comprises: obtaining measurements of the pressure and temperature of fluid at the intake to the pump, the pressure and temperature of the fluid at the discharge from the pump, and the electrical power supplied to the pump; determining values representing either the density of the fluid and the specific heat capacity of the fluid, or the specific fluid enthalpy based on measurements and/or historical data; and calculating an estimated efficiency of the pump and an estimated flow rate of the fluid based on the measured electrical power, the measured temperatures, the measured pressures, the determined value for density and the determined value for specific heat capacity or the determined value for specific fluid enthalpy.

The invention relates to monitoring a wind turbine having an electrical component. An exterior temperature and power loss associated with the electrical component is obtained, and a thermal model describing the electrical component is executed, based on the exterior temperature and power loss, to determine an internal temperature of the electrical component. A further thermal model describing the electrical component is executed, based on the internal temperature and an exterior component temperature, to predict a future thermal condition of the electrical component in order to monitor operation of the wind turbine.

A automative management server for receiving information technology system events and wind turbine events; correlating the information technology system event with the wind turbine event to determine a cause of an event; and generating an alert reporting the cause of the event or taking action to resolve the root cause of the event.

A method of parameterizing a controller of a first wind energy installation wherein the controller sets a manipulated variable of the wind energy installation as a function of an input variable. An artificial intelligence determines at least one value of a parameter of the controller for at least one state/degree of being iced up of the wind energy installation based on a power curve, load, and/or downstream flow of the wind energy installation predicted with a mathematical model of the wind energy installation for at least one state/degree of being iced up, and/or determines at least one value of a parameter of the controller for at least one state/degree of being iced up of the wind energy installation, based on at least one determined state/degree of being iced up and a power, load, and/or downstream flow of the wind energy installation and/or at least one second wind energy installation.

The disclosure relates to a compressor for an exhaust gas turbocharger. The compressor includes a compressor wheel, a compressor housing having a volute and a diffuser, and a device for modifying the diffuser width. The device for modifying the diffuser is configured to automatically alter the diffuser width as a function of one or more current operating parameters of the compressor.