16 results about "Small wind turbine" patented technology

The application provides a seismic information early warning terminal with a wireless frequency modulation loudspeaker, comprising: a seismic monitoring network communication module, which carries out multi-source communication of seismic early warning information through seismic monitoring network sound source communication and mobile terminal Bluetooth communication; carries out anti-interference communication protection through anti-interference setting; a seismic early warning information conversion module, which converts the signal of the seismic monitoring network communication module into a wireless frequency modulation signal, and receives an infrared remote control signal to carry out infrared remote control; a warning information wireless transceiver module, which carries out wireless frequency modulation signal transceiving communication and state monitoring with a wireless frequency modulation loudspeaker warning module through multiple groups of frequency modulation transmitting and receiving antenna groups; a wireless frequency modulation loudspeaker warning module, which converts the wireless frequency modulation signal into a seismic early warning loudspeaker broadcast trigger signal; a small wind turbine and an electric quantity monitoring storage battery group are used as an emergency power supply; a warning information partition broadcast loudspeaker group is used to carry out partition broadcast or full-area broadcast of seismic early warning information.

The application relates to a novel isolated network power supply system supported by an underwater energy storage device, which comprises an underwater energy storage system, a photovoltaic power generation system, a wind power generation system, a load system and a control center system; the control center system is used for cooperatively controlling the underwater energy storage system, the photovoltaic power generation system and the wind power generation system according to load demand, and through direct power supply of the photovoltaic power generation system and the wind power generation system and switching of the charging and discharging mode of the underwater energy storage system, stable power supply of the load system is realized. The application provides a system for power supply under isolated network conditions supported by a novel underwater energy storage device, which can simultaneously generate power by a small wind turbine and photovoltaic power generation, and supply power for loads in the isolated network; when fluctuation occurs in the network, the energy storage system can play the roles of voltage stabilization and frequency regulation. Therefore, the application can be widely applied in the technical field of energy storage.

This invention relates to the field of wind power generation technology, and more particularly to a small wind turbine generator that is easy to maintain. A small wind turbine generator that is easy to maintain includes a base, fan blades, and a power generation unit mounted on the base; two fan blades are arranged on the upper side of the base; it also includes a connecting shaft; a hollow cylinder is arranged on the power generation unit; a pair of fixing blocks are arranged on the outer side of the hollow cylinder, located below each connecting ring; each fixing block is provided with a fixing rod for connecting the fan blades; the fan blades are fixed to the fixing rods. This invention uses an arc-shaped groove to drive two opposing second limiting rods to move horizontally towards the center of a rotating disk, ultimately driving the fixing blocks to move horizontally towards the center of the rotating disk; the fixing blocks drive all the fixing rods and fan blades to move horizontally relative to each other, completing the relative closure of the two fan blades.

This utility model provides a dual-channel small wind turbine, relating to the field of power generation technology. The utility model includes a power generation component comprising a housing with two air vents on its side, positioned opposite each other. An air impeller is housed inside the housing, rotating within it. A generator is mounted on the surface of the housing, with its output shaft connected to the central shaft of the air impeller. In this utility model, high-speed air enters through one vent, driving the air impeller to rotate, and then exits through the other vent. The rotation of the air impeller drives the generator to generate electricity. A screw drives a baffle to move closer to or away from the housing, allowing adjustment according to the actual width requirements of the corridor. This enables installation to suit different corridor needs. The baffle has bolt holes, allowing for detachable mounting to a wall using expansion bolts.

The invention provides a wind-speed-sensor-free small wind driven generator off-grid system control method, device and equipment and a medium, and belongs to the field of generator off-grid system control. A wind driven generator blade mechanical energy capturing model is established by establishing a wind driven generator blade physical model and combining a wind field type, a fan physical model and a wind field installation angle. The optimal rotating speed curve corresponding to the maximum value of the mechanical energy captured by different types of wind driven generators at each wind speed can be fitted, and the accuracy of the rotating speed-power curve when the system applies different types of fans is improved. Simulation data and actual measurement data of motor hardware are subjected to bidirectional verification and fusion, so that the accuracy of the data and the precision of the whole system are improved. On the basis of an optimal rotating speed curve obtained through blade aerodynamic simulation, full-link parameter matching from blade mechanical energy capture to motor output is achieved in combination with a voltage-current curve of actual measurement and simulation.

The invention discloses a downwind type small wind driven generator turbine which comprises a rotor blade body axially swept back from a blade root to a blade tip, the front edge of the blade is provided with a bionic nodule structure changing in a sine rule, and the rear edge of the blade is provided with a sawtooth-shaped corrugated structure; the blades and the hub are connected to form a wind turbine rotor, the rotor is located on the downwind side of the tower, wind flow firstly passes through the tower and then acts on the rotor blades, the downwind layout enables the blades to be capable of natural feathering under the action of wind loads, therefore, dynamic load impact on the tower is reduced, and the yaw system structure is simplified. The tower shadow effect can be remarkably relieved through the whole sweepback type blades, and aerodynamic noise is reduced; the front edge nodules of the blades are bionic to fin limbs of the seat head whale, so that the lift-drag ratio can be effectively increased, broadband noise is reduced, and violent fluctuation of power and load is inhibited; sawtooth ripples on the rear edge of the blade imitate a comb-shaped structure on the rear edge of the flying feather of the owl, so that vortex shedding frequency concentration can be inhibited, and high-frequency noise can be remarkably reduced.

A large wind turbine consists of a series of smaller wind turbines. The smaller wind turbines are positioned in a suitable configuration. The entire construction is hollow and may be any shape on which a series of smaller wind turbines may be placed. The exterior of the construction may be covered with threads to prevent birds or animals from entering. In this way, wind enters the cage and encounters a series of waiting wind turbines, by which the kinetic energy of the wind is converted into electrical energy, thereby causing the cage to become a wind turbine cage. From the perspective of environment, this is a very safe and clean solution.

This small wind power generator comprises: a shaft; a spiral blade formed in a spiral shape to generate a rotational force by wind and having a blade member having a curved edge and straight edges each having one end connected to an end of the curved edge; a vibration reduction unit extending along the curved edge to reduce vibration generated by rotation of the blade member and wind; a reinforcement unit extending along each straight edge to reduce the vibration of the spiral blade; a bracket rotatably supporting opposite ends of the shaft; and a generator supported by the bracket and coupled to the shaft to generate electricity by using the rotational force of the shaft.

The invention relates to the field of intelligent dynamic electric power optimization regulation and control, and particularly provides an electric bicycle charging pile setting method and device, and the method comprises the following steps: S1, installing a solar panel at the top of a charging pile, equipping a small wind driven generator, and connecting commercial power to supply power to the charging pile; s2, installing a current sensor, a voltage sensor and a temperature sensor in the charging pile; s3, automatically adjusting the charging power; s4, registering, logging in and recharging by the user; s5, a manager manages the platform and remotely monitors and manages the running state of the charging pile; s6, installing a leakage protector in the charging pile, and installing an overvoltage and overcurrent protection device; s7, installing a lightning protection device; s8, the charging pile is provided with various types of charging interfaces to meet the charging requirements of different users; and S9, interface automatic identification and adaptation are carried out, and a charging wire storage device is arranged on the charging pile. Compared with the prior art, the charging pile and the electric bicycle can be protected against damage, and the safety of the charging pile under the complex weather condition is greatly improved.

The application discloses a wind turbine design method for three wind wheels, comprising the following steps: building a wind turbine model test table in a wind tunnel test section and placing a grid at the entrance of the wind tunnel test section; setting output power collection parameters, opening the wind tunnel, collecting output power, and closing the wind tunnel; repeating the above experiment to collect power of the three wind wheel wind turbine; processing data to estimate the degree of electricity cost with the test data; estimating the cost and calculating the annual power generation of the single wind wheel wind turbine unit and the three wind wheel wind turbine unit, and comparing and evaluating the design effect of the designed three wind wheel wind turbine. The application optimizes the existing single wind wheel wind turbine, solves the problems of low power generation and large occupation area of small wind turbines by designing the three wind wheel wind turbine, solves the problems of transportation, installation and maintenance of large wind turbines, and has important engineering significance for the research on the aerodynamic characteristics of the wind turbine.

This invention belongs to the field of wind turbine technology and provides a method and system for predicting the rotational speed of a small vertical-axis wind turbine. The method includes: acquiring an operating video of the small wind turbine; performing cropping and resolution reduction preprocessing on the operating video; decomposing and numbering the preprocessed operating video to obtain numbered static images; extracting feature colors from the static images; calculating the feature color area of ​​each static image and plotting a curve corresponding to the feature color area according to the static image number; obtaining the predicted rotational speed value of the small wind turbine based on the number of frames between adjacent peaks in the curve. Based on feature color recognition, this method achieves the goal of predicting the rotational speed of the small wind turbine, solving the problem of requiring specialized equipment and personnel for rotational speed detection, and replacing the traditional method of measuring and calibrating rotational speed by installing sensors.

A large wind turbine consists of a series of smaller wind turbines. These smaller turbines are positioned on a suitable structure. The entire structure is hollow and can be any shape on which a series of smaller wind turbines can be mounted. It can be enclosed with wire mesh to prevent birds or other animals from entering. In this way, the wind enters a cage containing a series of wind turbines, which convert its kinetic energy into electrical energy, thus transforming the wind turbine cage itself. From an ecological perspective, this is a very safe and clean solution.

Carport (1) for several multi-track motor vehicles, in particular trucks, comprising a wooden structure (2) with a closed, sealed roof (3), wherein photovoltaic modules (4) are arranged on the roof (3), the carport (1) preferably comprising at least one small wind turbine (5), the carport (1) further comprising a battery storage system (6) with one or more accumulators which can be charged by means of the photovoltaic modules (4), and preferably by means of the at least one small wind turbine (5), wherein the carport (1) comprises at least one charging station (10) for at least one electric vehicle, wherein the at least one charging station (10) is electrically connected to the battery storage system (6) in order to be able to provide electrical energy from the battery storage system (6) for the operation of the at least one charging station (10).

The application discloses an optimal design method for cutting a PVC pipe to manufacture a horizontal-axis wind turbine blade, and comprises the following steps: establishing a parameterized equation of an airfoil; determining the relationship between the maximum chord length of the airfoil and the central angle of the PVC pipe; establishing control variables of the optimal design; establishing an objective function of the optimal design, and obtaining an optimal solution through an iterative algorithm; and determining the optimal wind turbine blade through optimization. The optimal design method provided by the application can better adapt to the geometric characteristics of the PVC pipe, simplify a processing procedure, effectively reduce the operation and maintenance cost of a small wind turbine, significantly improve the economic benefit of the small wind turbine, and increase the market competitiveness of the small wind turbine.

A small turbine generator is connected to a wind turbine. The wind turbine spins freely due to a variable wind force on the wind turbine. The generator includes a spinning rotor that is responsive and spins proportional to spin of the wind turbine. A stator is connected to an actuator. The stator is selectively moved by the actuator nearer to or further from the rotor to vary the electrical power generated. Movement of the stator is controlled such that an electrical measure, such as voltage of the electrical power generated, does not exceed a threshold level.

The invention relates to the technical field of wind power generation, and discloses a big data-based wind generating set fault prediction method, which comprises the following steps of: 1, deploying low-power-consumption sensors in key components and surrounding environment of a distributed small wind generating set, and acquiring running state data and local environment meteorological data of a fan in real time, the operation state data and the environment meteorological data are synchronously transmitted to a cloud big data platform through a wireless network to form an operation environment integrated monitoring data set; and step 2, performing data cleaning on the monitoring data set on the cloud big data platform. The technical scheme of low-power-consumption heterogeneous data acquisition, intelligent missing value interpolation and standardized processing is adopted, and the technical effect of improving the quality of a small sample data set and the applicability of the model is achieved. The defect that the prediction accuracy is reduced due to small data volume and low standardization degree is overcome.