Rated Wind Speed Research Articles

Coupled dynamic characteristics of 10 MW semi-submersible offshore wind turbine under typical operation, extreme, and fault conditions

The Technical University of Denmark (DTU) 10 MW wind turbine is selected as the object of this study. The braceless semi-submersible platform for the National Renewable Energy Laboratory 5 MW wind turbine is upscaled to support the DTU 10 MW wind turbine. The servo control system of the 10 MW semi-submersible wind turbine is redesigned. Furthermore, torque control is performed below the rated wind speed to achieve maximum power capture, and the gain scheduling proportional integral (GSPI) control method is performed above the rated wind speed to realize the design of the variable propeller control system. This ensures the safe operation of the floating wind turbine above the rated wind speed. The reliability of the designed servo control system is verified by a full coupling dynamic response analysis with the designed servo control system, aerodynamics, and hydrodynamics under the combined action of wind and waves. The coupled dynamic characteristics of the 10 MW semi-submersible wind turbine under different conditions are analyzed, including operational, extreme, and fault situations. The results show that the servo control system effectively controls the motion response of a 10 MW floating offshore wind turbine (FOWT). Turbulent wind has an obvious excitation effect on the surge and pitch of the FOWT, whereas the heave motion is primarily excited by wave loads. Different fault conditions can cause different motion and structural responses. Furthermore, the tower top bending moment is greatly affected by the imbalance of aerodynamic load, and the surge, pitch motion, tower base bending moment, and mooring tension of the FOWT are affected by different fault conditions to varying degrees. In addition, the heave motion is generally barely affected by the fault conditions.

Numerical and experimental validation of vortex generator effect on power performance improvement in MW-class wind turbine blade

As blades become larger, performance loss occurs due to separation at the root. In particular, it will become more evident in offshore wind turbines equipped with large blades, and there is a possibility of solving through VG. This test, verified near the shore, can be further utilized at sea. The cost of attaching the VG pairs to the wind turbine blade is high, so it is important to predict aerodynamic performance by CFD analysis. Vortex generators were attached to the blades of a 2.3 MW wind turbine to validate the effect of the VGs on the wind turbine performance. Aerodynamic performance data for two months were measured using Supervisory Control and Data Acquisition and compared with data generated by the blade without VGs during the same period in 2018. As a result, it was confirmed that when VG was attached, the power generation performance was improved at high wind speed, while the performance decreased at low wind speed. The power generation performance of a 2.3 MW wind turbine with VGs was improved by 4.83% at a wind speed of 10 m/s, and the total annual energy production increased by 1.87% for operation in the wind speed range of 4−11 m/s. The VGs were precisely installed with the aid of laser tracking technology to correspond with the locations indicated by the CAE model, which resulted in a maximum error of 0.037%. The attachment coordinates were set by referring to the separation line determined by computational fluid dynamics analysis. The CFD analysis of the 2.3 MW wind turbine blade with VGs was performed using the RANS equation and the CFX package of ANSYS. The CFD results indicated that the torque was increased by 2.80% for the rated wind speed of 10 m/s. In addition, the effect of VGs was investigated by analyzing the vortex behavior and velocity profile of the fluid passing through the VG. The effect of the VGs on the AEP was also calculated using GH-bladed, a tool based on blade element momentum theory for designing wind turbine blades. These results also showed that the VGs improved the AEP by 0.81%.

Research on the aerodynamic performance of the wind turbine blades with leading-edge protuberances

The aerodynamic performance loss of wind turbine blades caused by severe flow separation is one of the main reasons for hindering the utilization of offshore wind energy. The leading-edge protuberances (LEPs) have been shown to be an effective passive control method with suppressed flow separation. This paper proposes a method for predicting the effect of the LEPs on the aerodynamic performance of the wind turbine airfoil and develops an optimized design method for the parameters of the LEPs. The GH-Bladed platform is used to verify the influence of the LEPs method on the load performance of the blades. The study found that the developed method can realize the optimization design of the aerodynamic performance for the wind turbine airfoil with LEPs, and obtain the structural parameters of the LEPs to improve the value CL/CD by 2%–11% in the post-stall region. Moreover, the average load and the standard deviation of the load for the blades with LEPs are reduced by 7% and 17% respectively near the rated wind speed of 8.7 m/s. This study realized the feasibility of the optimal design of the wind turbine airfoil with LEPs and verified the effectiveness of the LEPs technology applied to wind turbine blades.

Analysis of Doubly-fed Wind Turbines Oscillation Considering the Influence of Wind Speed

The accepted models of wind turbine and generator, respectively, were used to investigate how wind speed affected the subsynchronous oscillation of Double-fed wind turbine. Secondly, the oscillation characteristics of output are analyzed in the model/simulation of the PSCAD / EMTDC platform. The energy consumed when the wind speed changes are mainly affected by the subsystem of wind turbine. Below rated wind speed, increasing wind speed can inhibit subsynchronous oscillation, and increase the stability of the unit. The wind speed on the sub-synchronous oscillation is small as higher than normal wind speed.

Numerical Analysis of Wind Turbine Performance Using Different Blade Materials under Wind Load Deflection

A numerical investigation of the deflection on blades of three different materials against the range of wind speeds, and the effect on the blades’ aerodynamic performance was carried out. ABS plastic, wood and glass fiber were used to make blade solid models with Eppler E387 airfoil. Using ANSYS software, wind load impact simulation was carried on the blades over range of operation wind speeds to determine blade tip deflections. Highest and lowest deflection over the range of wind speeds were found to be for ABS plastic blade and glass fibre blade respectively Deflected blades were adopted to a commercial 20 kW wind turbine as a case study. The turbines were subjected to air flow simulation to determine aerodynamic performances over the range of 5m/s to 20m/s wind speeds. At rated wind speed of 10m/s, power coefficient values of 0.52175, 0.53685 and 0.53710 at optimum tip speed ratio (TSR) of 5 were produced by ABS, wood and glass fibre blades respectively. At severe wind speed of 20m/s, corresponding power coefficient values were 0.29911, 0.47458 and 0.58666 respectively. The study indicates that at normal operating winds speeds, all the materials are suitable for blade adoption, while glass fibre material seems to withstand severe wind speed most in aerodynamic performance.

New Two-BWT Blade Aerodynamic Design and CFD Simulation

Due to reduced manufacturing, transportation, and installation costs, the two-blade wind turbines (Two-BWT) are a viable option for offshore wind farms. So far, there is no mature design model for offshore Two-BWT. This paper proposes an aerodynamic design method for offshore Two-BWT blades using the blade element momentum (BEM) theory. This method calculates the power coefficient of the Two-BWT by analogy with the three-blade wind turbines (Three-BWT), and then determines the wind rotor diameter. Then, the airfoil, chord length, and twist angle are taken as the key design factors. Furthermore, the piecewise combination method (PCM) for airfoil distribution, the three-point sine method (Three-PSM) for chord length distribution, and the two-point sine method (Two-PSM) for torsion angle distribution are adopted, respectively. Subsequently, the minimum rotational speed, under the rated wind speed and rated power, is taken as the optimization objective to establish the optimization model. The global flow field of Two-BWT is constructed based on CFD technology, and the characteristics of wind speed distribution and blade pressure distribution in the flow field are investigated. Finally, the CFD results are compared with the results of the BEM theory, and the consistency of the results also shows the feasibility of the design method.

Uncertainty analysis of wind speed of wind turbine

AbstractThe uncertainty of wind speed has a great impact on the reliability of wind turbines. However, previous studies usually used average wind speed or rated wind speed as inputs, ignoring the impact of time and space distribution on wind speed. Based on the hourly ground observation data of meteorological stations, four observation stations are taken as the research object of the uncertainty of wind speed spatial distribution. The four observation stations are divided into single day and one week, and seven data analysis indicators and normal distribution models are used day and night to analyze the uncertainty of wind speed time distribution. The results show that both spatial distribution and temporal distribution are important factors that cause the uncertainty of wind speed. Due to different geographical locations of four stations, their wind speed time domain diagrams are different, and the maximum wind speed, fluctuation frequency and fluctuation amplitude of wind speed at each observation station are different; The wind speed distribution of a single day is quite different from that of a week. The data of a single day and a week are analyzed by day and night, which is quite different from the overall data analysis. The necessity of wind speed uncertainty research of wind turbine considering the temporal and spatial distribution is verified, and it is concluded that normal distribution is not suitable for fitting the distribution model of four stations under study, which lays a foundation for determining the wind speed distribution model, analyzing the power characteristics of wind turbine, evaluating the generation capacity of wind turbine, and analyzing the reliability of wind turbine.

Study of air compressibility effects on the aerodynamic performance of the IEA-15 MW offshore wind turbine

With the gradual upscaling of offshore wind turbines, the blade size becomes large and the blade tip velocity reaches almost a Mach number of 0.3, the limit of the incompressible flow assumption.To simulate wind turbine flows, an incompressible solver was often a good choice as it gave good predictions and the Mach number of the wind turbine flows were small. When the Mach number is increased to be close to 0.3, the validity of incompressible flow may be questionable and thus needs to be checked. In this paper, an accurate wind turbine flow solution method is proposed to study the compressibility effects. First, the National Renewable Energy Laboratory (NREL) Phase VI wind turbine is used as an example to verify the method at a small Mach number. Through a comparative analysis between the compressible, the incompressible numerical results, and experimental data, the proposed method is found with a good simulation accuracy. Next, the flow fields of the large wind turbine IEA-15 MW, under different wind conditions are simulated. The local Mach number, density and pressure coefficient at different blade cross-sections of the compressible results are analyzed and compared to its incompressible ones, and the influences of compressibility on the thrust, torque and power of the wind turbine are quantified. The results show that at the rated wind speed, the thrust of the compressible flow simulation is 1.40 % higher than that of the incompressible one, and the torque of the compressible flow simulation is nearly 11.07 % higher than that of the incompressible one. As a result, the compressibility effects are recommended to be added in future studies of large wind turbines.

Prediction of aerodynamic performance of NREL offshore 5‐MW baseline wind turbine considering power loss at varying wind speeds

AbstractIn this study, a computational fluid dynamics (CFD) model was developed to simulate the aerodynamic performance of the National Renewable Energy Laboratory (NREL) offshore 5‐MW baseline wind turbine with single rotor and full wind turbine. Using statistical methods, the relation between pitch angle and performance when the speed is above the rated wind speed was analyzed; furthermore, other published data were compiled to establish the functional equations of power, thrust with various inflow wind speeds, and pitch angles. In addition, according to shape optimization based on parametric modeling, the two‐dimensional cross‐section of the wind turbine blade can be defined through a metasurface approach, and the three‐dimensional surface modeling of the wind turbine blade, nacelle, and tower is completed using the nonuniform rational B‐splines (NURBS) interpolator. In terms of aerodynamic simulation, the unstructured polygon mesh was used herein to discretize the space and simulate the highly curved and twisted surfaces of the blade. In this study, the compact and accurate mesh form obtained through a grid independence test will be used to analyze the distribution of the pressure coefficient, shear stress coefficient, and limited streamline on the blade surface at various inflow wind speeds and pitch angles to understand the differences between different turbulence models and the causes of power and thrust attenuation at high inflow wind speeds. In addition, the phenomena of blade‐tip vortices, dynamic stall, blade loading, and the interaction between nacelle and tower were collectively explored.

Improved torque compensation control based-maximum power point tracking strategy for large scale floating offshore wind turbines

The main problems of Floating Offshore Wind Turbines (FOWT) are the slow dynamic response of Maximum Power Point Tracking (MPPT) control and the low wind energy conversion efficiency. This paper proposes an Improved Torque Compensation (ITC) control strategy, which includes three parts. Firstly, the Torque Compensation (TC) strategy is optimized to mitigate the large fluctuation in output power caused by the increased response speed. Secondly, the control gain for ITC is reasonably adjusted by the Fuzzy Inference System (FIS) based on the rotor speed acceleration and the platform pitch motion acceleration. Thirdly, the power coefficient curve of the Wind Turbine (WT) is optimized, so that the WT performs blade pitch operation below the rated wind speed. Not only further improve the wind energy conversion efficiency of the WT, but also solve the problem of increasing the platform pitch angle caused by ITC. The above three parts of the ITC strategy finally are applied to the MPPT control for the FOWT under the action of wind and waves. The effectiveness of the ITC control strategy is verified by comparing with the three existing MPPT control strategies.

Development and Validation of Control Algorithm for Variable Speed Fixed Pitch Small Wind Turbine

In this study, a power control algorithm of a variable-speed fixed-pitch horizontal-axis lift-type 20 kW small wind turbine (SWT) was proposed and verified through dynamic simulations. The power control algorithm proposed in this study consists of algorithms for Region II to track the maximum power coefficient, for Region II-1/2 to maintain the rated rotor speed, and for Region III to maintain the rated power. To verify the proposed power control algorithm, simulations were performed at the rated wind speed and above the rated wind speed, to which turbulence intensity based on the IEC regulation’s normal turbulence model was applied. As a result, it was confirmed that the proposed controller operates properly in the whole three regions including Regions II, II-1/2, and III. The controller performance was then compared with the variable-speed variable-pitch power controller. Although the performance of the proposed controller was considered good for the target VSVP wind turbine, it was lower than that of the conventional controller applied to the same wind turbine. Compared to the VSVP wind turbine, the VSFP wind turbine with the proposed controller was found to have higher mean loads on the blade and the tower but the fatigue loads in terms of Damage Equivalent Load (DEL) were found to be reduced.

Multi‐parameter optimization of performance and economic viability of Ferris wheel wind turbine for low wind speed regions in Africa

AbstractPrevious studies on wind turbine and wind farm optimization for Levellized cost of energy (LCOE) and annual energy production (AEP) have focused on horizontal axis wind turbines (HAWT) and vertical axis wind turbines (VAWT). Regions with lower wind speed resources tend to have a higher levellized cost of energy and lower annual energy production. In this paper, the authors investigate the optimization of a novel, Ferris wheel wind turbine (FWT) for low wind speed regions of Africa. The research used an Excel‐based Multi‐Objective Optimization (EMOO) model. The EMOO program has both binary‐coded and real‐coded Elitist Non‐Dominated Sorting Genetic Algorithm (NSGA‐II). The optimization is conducted by studying the effect of varying the rim diameter, number of blades, and the rated wind speeds for an 800‐kW generator on the performance and economics in 21 African cities. The results show that, on average, the return‐on‐investment increases over the base design by up to 182%, and both the simple payback period (SPP) and the levellized cost of electricity decreased by 39% as the rim diameter increases combined with a 50% reduction in blade numbers. In addition, a 75% reduction in blade numbers caused a further 32% decrease on average for both the simple payback period and the levellized cost of electricity.

Multi-Megawatt Horizontal Axis Wind Turbine Blade Optimization Based on PSO Method

Blade optimization methods are crucial for wind turbine design. In this research, a new set of values for the parameters of the Particle Swarm Optimization (PSO) method is proposed, and its effects on the enhancement of the power generation of the NREL WP-Baseline 1.5 MW horizontal axis wind turbine are investigated. First, the PSO parameters are tuned, and the convergence speed and the optimal accuracy of the objective function are improved. Then, the Class/Shape Transformation (CST) method is employed, and an appropriate order of the shape function polynomial is selected. In the third step, the WP-Baseline 1.5 MW blade is optimized according to the tuned PSO parameters, and the airfoil is represented by CST algorithms. Later, a CFD model, including 37 million cells and an IDDES turbulence model, was validated and used for a comparison of the power generation of the original and optimized blades. The optimized blade produced more power for all wind speeds above 4.5 m/s, with a maximum of 13.8% at 10 m/s and +7.25% at the rated wind speed (11.5 m/s). It should be noted that since the algorithms, tunings, and techniques adopted in the present study were general, the presented method can be used as a systematic approach for the aerodynamics shape optimization of multi-megawatt HAWTs.

Investigation on the Performance of Micro Wind Turbine Rotor Using Whale-Inspired Blade Based on Low Wind Regime

The potential of wind energy in a country varies depending on the region. For example, in Northern regions of Nigeria, cities like Minna, Sokoto, Kano and Jos are the most potential locations and experience not more than 5.24 m/s mean wind speed with Jos having the highest average wind speed. In most cases internationally wind turbines are design to operate at the rated wind speed much greater than mean wind speeds in Nigeria (in most cases above 8 m/s). Installation of these wind turbines in a similar location to Nigeria (in terms of wind speed condition) will significantly decrease their performance. Therefore, it become necessary to design and produce wind turbines that will function efficiently in low wind speed locations. One of the technologies to improve wind turbine rotor blade effectiveness in low wind regime is to boost the operating angle of the wind turbine, and hence the prospect for the improvement of wind turbine performance. An innovative way recognized previously by some researchers for increasing the working angle of the blade at low wind speed for improved performance is modification of wind turbine blade leading edge. This research studied three-bladed wind turbine rotor with modified blades leading edges (by incorporating sinusoidal bumps) at low wind speeds using CFD method. Two CAD models of wind turbine blades based on 0.8m three-bladed wind turbine rotor were modelled and simulated. One blade model is having straight leading edge (N-Blade) and the other having bumpy leading edge (M-Blade). Both models have NASA LS (1)-0413 cross-section profile. Simulations were run using ANSYS 20 from a velocity of 2 m/s to 10 m/s at the interval of 2m/s considering TSR of 6 and 8. At a TSR of 6, the coefficients of performance (Cp) values are not equal, with the straight blade having better performance than the bumpy blade at all velocities tested; the Cp values of blade with straight leading edge are 0.180, 0.267, 0.300, 0.313, 0.322 at respective velocities of 2, 4, 6, 8, and 10m/s, while Cp values of blade with bumpy leading edge at the same velocities are 0.165, 0.250, 0.281, 0.294, and 0.303 respectively. At a TSR of 8, the CP values closely match for both straight and bumpy blade at all velocities tested for. Simulations were further run at constant angular velocity of 120 rad/s for a TSR of 2, 4, and 10, where the peak performance occurs is around TSR of 6 and 8. For instance, the Cp values of M-Blade are 0.022, 0.173, 0.294, 0.313, and 0.116 respectively at the TSR of 2, 4, 6, 8, and 10. At TSR of 2, 4, 8 and 10, the performance of both airfoils closely matches except at a TSR of 6 where the N-Blade Cp value is 0.313 and is better than that of M-Blade Cp value (0.294). It shows that the blade leading edge modification could not have advantage at all flow conditions and size of the HAWT blades; it shows no advantage on the performance of the rotor blade tested in this research at the velocities at which the simulation was conducted.

Leaf‐Like TENGs for Harvesting Gentle Wind Energy at An Air Velocity as Low as 0.2 m s−1

AbstractExisting technologies for harvesting electrical energy from gentle wind face an enormous challenge due to the limitations of cut‐in and rated wind speed. Here, a leaf‐like triboelectric nanogenerator (LL‐TENG) is proposed that uses contact electrification caused by the damped forced vibration of topology‐optimized structure consisting of flexible leaf, vein bearing plate, and counterweight piece. The effectiveness of the topology‐optimized leaf‐like structure is studied, which solves the problem of reduced output due to electrostatic adsorption between the leaf surfaces while reducing the cut‐in (0.2 m s−1) and rated wind speed (2.5 m s−1). The LL‐TENG unit having small dimensions of 40 cm−2 (mass of 9.7 g) at a gentle wind of 2.5 m s−1 exhibits outstanding electrical performances, which produces an open‐circuit voltage of 338 V, a short‐circuit current of 7.9 µA and the transferred charge density of 62.5 µC m−2 with a low resonant frequency of 4 Hz, giving an instantaneous peak power of 2 mW. A distributed power source consists of the five LL‐TENGs in parallel is developed by designed self‐adaptive structure, for which the peak power output reaches 3.98 mW, and its practicability and durability are successfully demonstrated. This study is a promising distributed power source technology to drive electronics in gentle wind outdoor environments.

Neural network-based supertwisting control for floating wind turbine in region III

In this paper, a hybrid control strategy based on the super-twisting sliding mode approach and artificial neural network method has been proposed for collective blade pitch (CBP) control of floating wind turbines (FWT) above the rated wind speed. Besides the presence of uncertainties and external disturbances due to the complexity of the model of wind turbines, this paper uses the radial basis function (RBF) neural network to approximate model uncertainties and unmodeled dynamics, reducing the controller dependency on the exact model of the system. The implemented neural network adaptive law has been achieved based on the Lyapunov stability, and the convergence of the closed-loop system is guaranteed by adjusting the learning rate. As the floating wind turbine is a highly nonlinear system, the main objectives are limitation of platform pitch motion and related fatigues, blade fatigue load reduction, and essentially power regulation. Here, using the FAST simulator, the proposed controller has been tested by achieving the required dynamic and static performance. The simulation results illustrate the efficiency of the investigated strategy by comparing it with and without RBF neural network on the FWT.

CFD simulation analysis of aerodynamic characteristics of large wind turbine unit under accident condition

In this paper, according to different locations of blade fracture accidents, it is divided into three fractures: blade root fracture, leaf middle fracture and blade tip fracture. Assuming that the blade fracture accident due to aging is operated at the rated wind speed and rated speed, CFD simulation is carried out to analyze the wind rotation field, aerodynamic load and blade surface streamline characteristics of NREL 5MW wind turbine with different fracture positions. This paper also assumes that under the condition of a strong typhoon, the instantaneous wind speed is too large, resulting in the wind turbine speeding, and then the blade fracture accident occurs. At this time, the wind turbine was running under extreme wind speeds, and the speed soared due to the speeding car. Analyze aerodynamic loads at different speeds. It provides an important reference for the design and operation and maintenance of wind turbine blades.

Prediction and Mitigation of Wind Farm Blockage Losses Considering Mesoscale Atmospheric Response

The engineering wind farm models currently used in industry can assess power losses due to turbine wake effects, but the prediction of power losses due to farm blockage is still a challenge. In this study we demonstrate a new prediction method of farm blockage losses and a possible strategy to mitigate them for a large offshore wind farm in the North Sea, by combining a common engineering wind farm model ’FLORIS’ with the ’two-scale momentum theory’ of Nishino and Dunstan (2020). Results show that the farm blockage losses depend significantly on the ’wind extractability’ factor, which reflects the strength of mesoscale atmospheric response. For a typical range of the extractability factor (assessed using a numerical weather prediction model) the farm blockage losses are shown to vary between about 5% and 15% of the annual energy production (AEP). However, these losses may be mitigated by adjusting turbine operating points taking into account the wind extractability. It is shown that a simple adjustment of the blade pitch angle and tip-speed ratio used below the rated wind speed may increase the AEP by up to about 2%.

Influence of Turbulence Intensity on the Aerodynamic Performance of Wind Turbines Based on the Fluid-Structure Coupling Method

The deformation and vibration of wind turbine blades in turbulent environment cannot be ignored; therefore, in order to better ensure the safety of wind turbine blades, the study of air-elastic response of wind turbine blades under turbulent wind is indispensable. In this paper, the NREL 5MW wind turbine blades are modeled with accurate 3D lay-up design, firstly, based on the joint simulation of commercial software STAR CCM+ and ABAQUS, the two-way fluid-solid coupling technology, the wind turbine under uniform wind condition is simulated, and the results from thrust, torque, structural deformation and force perspective and FAST are compared with good accuracy and consistency below the rated wind speed. Secondly, the aerodynamic performance, flow field distribution and structural response of turbulent winds with different turbulence strengths at 10 m/s were studied. The results show that the turbulence intensity has a greater impact on the amplitude of the wind turbine blade, and the stress distribution of the blade is more concentrated, which in turns affects the stability and safety of the wind turbine blade and is not conducive to the normal operation of the wind turbine.

Analysis on aerodynamic performance of mine horizontal axis wind turbine with air duct based on breeze power generation

Developing wireless sensor networks based on breeze power generation is of great significance to promote the development of intelligent mines. In this paper, a small horizontal axis wind turbine with air duct was designed for the underground environment of coal mine. The aerodynamic performance of the wind turbine was analyzed by constructing a three-dimensional solid model of the wind turbine. The results show that under the condition of low wind speed underground, the air flow entering the air duct in the outer basin is accelerated and rectified, and the velocity near the impeller increases. The pressure value at the front end of the blade is the largest and the pressure value at the rear end of the blade is the smallest. A certain range of negative pressure zone is formed at the rear end of the impeller, which is conducive to the operation of the wind turbine. After the air flow passes through the impeller, the speed decreases and the speed is the lowest near the rotating shaft of the impeller. Inner basin: the air flow velocity increases gradually along the radial direction of the impeller centre. The pressure at the front end of the blade is greater than the atmospheric pressure, which is conducive to promoting the stability and sustainability of the wind flow and facilitating the operation of the wind turbine. When the wind speed reaches the rated wind speed of the wind turbine, the power, torque and output power of the wind turbine increase, which can provide effective power generation. Compared with other aerofoils, NACA5505 air foil has higher lift drag ratio and thrust coefficient, and is more suitable for downhole low wind environment. Compared with the wind turbine without air duct, the wind turbine with air duct has higher wind energy conversion and output power at low Reynolds number, which verifies the feasibility of the wind turbine with air duct. In the case of low incoming wind speed and no expansion of the size of the wind turbine, improve the output power of the wind turbine and meet the intrinsic safety requirements of the wind turbine. The research can provide technical support for the continuous power supply of wireless intelligent sensors in the mine environment, and provide scientific basis for mine safety production and fine management, which has long-term economic and social benefits.