CN114992044B - A method for optimizing aerodynamic performance of a wind turbine with swept blades for wind tunnel experiments - Google Patents
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D1/00—Wind motors with rotation axis substantially parallel to the air flow entering the rotor
- F03D1/06—Rotors
- F03D1/0608—Rotors characterised by their aerodynamic shape
- F03D1/0633—Rotors characterised by their aerodynamic shape of the blades
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D1/00—Wind motors with rotation axis substantially parallel to the air flow entering the rotor
- F03D1/06—Rotors
- F03D1/065—Rotors characterised by their construction elements
- F03D1/0675—Rotors characterised by their construction elements of the blades
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The invention discloses a wind turbine aerodynamic performance optimization method for wind tunnel experiments, which comprises the steps of 1) modeling a device by three-dimensional modeling software to determine blade bending strength, 2) building a device for aerodynamic measurement of the wind turbine with the bending blades, 3) wind tunnel equipment safety inspection, 4) setting sampling time and sampling frequency by a collector, 5) starting the wind tunnel to obtain set wind speed, 6) collecting thrust and power coefficients of a reference wind turbine under different working conditions, 7) collecting wake characteristics of the reference wind turbine under different working conditions, 8) collecting thrust and power coefficients of the wind turbine with the bending blades under different working conditions, 9) collecting wake characteristics of the wind turbine with the bending blades under different working conditions, and 10) data processing. The method is directly from the aspect of blade appearance design, has simple and efficient optimization steps, is suitable for wind driven generator sweep optimization design under different working conditions of wind tunnel experiments, can accurately measure the aerodynamic characteristic curve of the sweep blade, and provides reliable verification for aerodynamic study of the sweep blade with low wind speed.
Description
Technical Field
The invention relates to the field of wind tunnel tests and wind turbine aerodynamic characteristics optimization design, in particular to a method for optimizing aerodynamic performance of a swept blade wind turbine for a wind tunnel test.
Background
In order to realize the further improvement of the wind energy conversion efficiency of the wind turbine in the low wind speed area, the wind turbine blade needs to be optimally designed, the flying height and the flying speed are randomly controlled by observing birds through the curved and swept-shaped wings at the low wind speed, and the aerodynamic characteristics of the curved and swept-blade wind turbine at the low wind speed can be optimally researched by inspiring. The curved swept blade has the advantages that (1) the curved swept blade wind power machine can improve the output power at low wind speed and annual energy generation, (2) the back curved fatigue load of the blade can be reduced to a certain extent, and (3) the curved swept blade can improve the structural stability of the wind power machine and simultaneously maintain good aerodynamic performance.
However, the related researches on the curved and swept blades of the wind turbine have some problems that most of researches on the aerodynamic characteristics of the whole wind turbine are numerical simulation calculation or theoretical analysis, less experimental researches are carried out, and the experimental data are not yet compared, so that the reliability of the obtained conclusion is still to be further verified, and the research is difficult to be substantially progressed and broken through. Aiming at the advantages and the disadvantages of the existing wind turbine sweep design method and research method under low wind speed, the pneumatic measuring device and the optimization method of the sweep blade wind turbine for wind tunnel experiments are urgently needed to be designed under the existing conditions.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides a method for optimizing the aerodynamic performance of a curved swept blade wind turbine for a wind tunnel experiment, is suitable for the curved swept optimal design of a wind driven generator under different working conditions of the wind tunnel experiment, can accurately measure the aerodynamic characteristic curve of the curved swept blade, and provides reliable verification for aerodynamic study of the curved swept blade with low wind speed.
The invention aims to realize the aerodynamic performance optimization method of the curved swept blade wind turbine for wind tunnel experiments, which comprises the following steps:
step 1), three-dimensional modeling software is used for designing a wind turbine swept blade, modeling a wind turbine tower and a supporting bottom plate, and three-dimensional printing by using a three-dimensional printer;
Step 2) building a device for pneumatically measuring the wind turbine with the swept blades in the wind tunnel;
Step 3), equipment safety inspection comprises whether a fastening bolt is loosened, whether a model wind turbine is fixedly installed, whether a current conditioning circuit and a rotating speed conditioning circuit are connected correctly and run normally, ensuring that each pipeline is kept unobstructed and free from blocking;
Step 4) setting the sampling frequency and the sampling time of each pneumatic characteristic measurement collector;
step 5), starting a wind tunnel, and adjusting the frequency of a control cabinet to obtain a set wind speed;
step 6) measuring the power of the wind turbine, regulating parameters to obtain set rotating speeds, and sequentially collecting thrust coefficients and power coefficients of the reference wind turbine at different rotating speeds;
Step 7) adjusting parameters to obtain a set rotating speed, measuring wake flow fields, collecting wake flow field distribution of a reference wind turbine, and closing a wind tunnel after the wake flow field distribution is completed;
step 8) repeating the steps (4) and (5), measuring the power of the wind turbine by adopting a mode of orthogonal test design, adjusting parameters to obtain set rotating speeds, and sequentially collecting thrust coefficients and power coefficients of the bending wind turbine at different rotating speeds;
Step 9) adjusting parameters to obtain a set rotating speed, measuring wake flow fields, collecting wake flow field distribution of the sweep wind turbine, and closing the wind tunnel after the completion;
and 10) comparing and analyzing the aerodynamic characteristics of each wind turbine under different working conditions to obtain the design of the optimal sweep wind turbine.
The device for pneumatically measuring the sweep blade wind turbine in the step 2) comprises a rotary wind wheel, a wind turbine tower, a miniature direct current motor, a supporting bottom plate, a six-component balance, a data collector, a grating, a hot wire anemometer and a three-dimensional moving and measuring bracket, wherein the grating is placed at an inlet of a wind tunnel test section, the supporting bottom plate is fixed at the bottom of the wind tunnel test section, the six-component balance is placed on the supporting bottom plate, the wind turbine tower is placed on the six-component balance, the miniature direct current motor is fixed at the top end of the wind turbine tower, the rotary wind wheel is connected with the miniature direct current motor shaft, a signal output end of the miniature direct current motor and a signal output end of the six-component balance are electrically connected with the data collector, and the hot wire anemometer is placed right behind the rotary wind wheel and adjusts the distance in the wind tunnel through the three-dimensional moving and measuring bracket.
As a further definition of the invention, for the design of a swept blade of a wind turbine, which determines the performance, load, stability of a wind turbine generator set, the design of the swept blade of the wind turbine in step 1) is performed using formula (1):
In the formula (1), Z is the offset of the blade section from the aerodynamic center line of the original straight blade, r r is the radial distance of the blade section, r s is the initial radial distance of sweep, r is the radius of the wind wheel, P s is the ratio of the tip offset d to the radius of the wind wheel, M is the bending strength, P r is the ratio of the radial distance of the section to the radius, and P rs is the ratio of the initial radial distance of sweep to the radius.
As a further limitation of the invention, the mode of adopting the orthogonal test design in the step 8) is to adopt three factors of the ratio of the sweep starting distance to the radius, the ratio of the tip offset to the radius and the bending strength in each tip speed ratio working condition, wherein each factor is divided into four types of levels, and a total of 16 groups of combinations are arranged for wind tunnel test.
As a further definition of the invention, the wind turbine power measurements in steps 6) and 8) are processed using formula (2);
In the formula (2), ρ is air density, U hub is the incoming flow average wind speed of the center height of the rotary wind wheel, r is the radius of the wind wheel, ω is the rotating speed of the wind turbine, C pow is the power coefficient of different working conditions, T j is the instantaneous thrust of the corresponding working conditions, and f T (I, ω) is the relation between the output shaft power of the generator used in the test and the output current I and the rotating speed ω.
As a further limitation of the present invention, the thrust coefficient in steps 6) and 8) is treated with formula (3);
In the formula (3), ρ is air density, U hub is the incoming flow average wind speed of the center height of the rotating wind wheel of the wind machine, r is the radius of the wind wheel, n is the number of collected thrust data, T j is the instantaneous thrust under the corresponding working condition, and C Ti is the thrust coefficient under different working conditions.
As a further limitation of the present invention, in the wake flow field measurement in steps 7) and 9), a pitot tube calibration hot wire anemometer is used to measure wind speed, and measure a measuring point of a vertical plane right behind a rotating wind wheel tower and a horizontal plane of a central height of a rotating wind wheel of the wind turbine, the interval between adjacent measuring points is 5% of the relative radius of the rotating wind wheel, and the distance between the measuring points is 1.5 times of the relative radius of the rotating wind wheel from the position of the exact center of the rotating wind wheel.
As a further limitation of the invention, the accuracy of the measurement of the tail flow field of the reference wind turbine is verified by adopting a formula (4) in the measurement of the tail flow field;
In the formula (4), Y is a wake transverse coordinate, U N0 is a dimensionless wake average wind speed value, U D is a dimensionless wind speed loss maximum value, U D is larger than 0;D r and represents the width of a wake at 0.5U D, and Y r is a start transverse coordinate of a wake center position.
Compared with the prior art, the wind tunnel experimental device has the advantages that the manufacturing materials are simple and easy to obtain, the platform is flexible and convenient to build, and most importantly, other complex terrains and barriers can be designed and added on the supporting bottom plate for experiments, and wind tunnel experiments of the curved and swept blade wind turbine in a simulated real environment can be performed. The invention utilizes a six-component balance to measure the thrust data of a model wind machine, the six-component balance is connected with the supporting bottom plate through bolts, a miniature direct current motor used for the six-component balance and a test is electrically connected with a data acquisition device, the pneumatic characteristic curve of the model glancing blade wind machine can be accurately measured, for the pneumatic measurement of the glancing blade wind machine, the pneumatic efficiency of the glancing blade wind machine is mainly considered to be influenced by the tip offset, glancing initial quantity, glancing intensity and incoming flow speed, rotating speed and turbulent intensity in the running working condition by adopting a mode of orthogonal test, and during wind tunnel experiments, the workload becomes very large.
Drawings
FIG. 1 is a schematic illustration of a swept blade design according to the present invention.
FIG. 2 is a schematic view of a blade according to the present invention.
FIG. 3 shows a device for pneumatically measuring a swept blade wind turbine for wind tunnel experiments.
FIG. 4 is a graph showing the power coefficient results of a reference wind turbine according to the present invention.
Fig. 5 is a schematic diagram of wake flow field measurement in the present invention.
Fig. 6 is a graph of wake flow field versus empirical simulation measured with hot wire in accordance with the present invention.
Fig. 7 is a graph of wake flow field results measured with hot wire in the present invention.
Detailed Description
A method for optimizing aerodynamic performance of a curved swept blade wind turbine for wind tunnel experiments comprises the following steps:
step 1), three-dimensional modeling software is used for designing a wind turbine swept blade, modeling a wind turbine tower and a supporting bottom plate, and three-dimensional printing by using a three-dimensional printer;
the specific design of the swept blade can be shown in figure 1, and the design of the invention adopts the equation shown in the formula (1) for parameterization design
In the formula (1), Z is the offset of the blade section from the aerodynamic center line of the original straight blade, r r is the radial distance of the blade section, r s is the initial radial distance of sweep, r is the radius of the wind wheel, P s is the ratio of the tip offset d to the radius of the wind wheel, M is the bending strength, P r is the ratio of the radial distance of the section to the radius, and P rs is the ratio of the initial radial distance of sweep to the radius. Taking the DTU-LN221 blade as a reference wind turbine blade as an example, a curved blade specifically designed according to the invention may be as shown in FIG. 2. The swept blade design is shown in fig. 2 with the ratio of tip offset to rotor radius d/r=0.1, the sweep strength m=2, and the ratio of sweep start radial distance to radius r s/r= ±0.2.
Meanwhile, for the efficient, rapid and economical comparison experiment of the swept blade, the invention adopts an orthogonal experiment mode to design the experiment with three factors and four levels in the optimization design process, wherein the three factors comprise the ratio of the initial radial distance to the radius of the sweep, the ratio d/r of the tip offset to the radius and the sweep strength M. The corresponding 4 levels are r s/r=0.1, 0.2, 0.3 and 0.4, d/r= -0.2, -0.1, 0.1 and 0.2, m=1.5, 2, 2.5 and 3; the specific test scheme is shown in table 1, and the orthogonal table is used for carrying out 16 experiments, so that the workload of wind tunnel experiments is obviously greatly reduced.
TABLE 1 orthogonal test design table
The specific arrangement can be shown in figure 3, a coordinate system is established for convenience of description, the incoming flow direction is defined as an X axis in the figure, the Z axis is along the height direction of the wind tunnel, the Y axis is along the incoming flow transverse wind direction, and the D is the diameter of the wind turbine. The device for pneumatically measuring the wind turbine with the swept blades comprises a rotary wind wheel, a wind turbine tower, a miniature direct current motor, a supporting bottom plate, a six-component balance, a data collector, a grid, a hot wire anemometer and a three-dimensional moving and measuring bracket. The wind turbine tower is arranged on the six-component balance, the miniature DC motor is fixed at the top end of the wind turbine tower, and the rotating wind wheel is connected with the miniature DC motor shaft. The signal output end of the miniature direct current motor and the six-component balance is electrically connected with the data acquisition device. The hot wire anemometer is arranged right behind the rotating wind wheel and adjusts the distance in the wind tunnel through a three-dimensional moving and measuring bracket, the rotating wind wheel is composed of three-blade DTU-LN221 with the radius of 20cm in the specific design, the wind turbine tower is composed of steel bars with the diameter of 16mm, the miniature direct current motor is composed of WS-31ZYT57-R (1308B), the six-component balance is GammaSI-65-5 of ATI company, the data collector is universal data collector USB-6210 of NI company, the hot wire anemometer is composed of constant temperature hot wire anemometer CTA/HWA of DANTEC company, and the three-dimensional moving and measuring bracket is composed of WNMC.
Step 3) after the construction of each pneumatic device is completed, performing equipment safety check in a wind tunnel, wherein the equipment safety check comprises whether a fastening bolt is loosened or not, whether a model wind turbine is fixedly installed or not, whether a current conditioning circuit and a rotating speed conditioning circuit are connected correctly and run normally, ensuring that each pipeline is kept unobstructed and free from blockage, and ensuring that the inside of the wind tunnel is clean;
Step 4) setting the sampling frequency and the sampling time of each pneumatic characteristic measurement collector, wherein the sampling frequency and the sampling time of the data collector for power collection are 10kHz, the sampling time is 5s, the sampling frequency of a six-component balance is 1kHz, the sampling time is 10s, and the sampling frequency of a hot wire anemometer is 5kHz, and the sampling time is 20s;
Step 5), starting a wind tunnel, and adjusting the frequency of a control cabinet to obtain the wind speed of 7m/s;
step 6) measuring the power of the wind turbine, regulating parameters to obtain set rotating speeds, and sequentially collecting the thrust coefficient and the power coefficient of a reference wind turbine at different rotating speeds (corresponding to the range of tip speed ratios 1 to 5);
Step 7) adjusting parameters to obtain a set rotating speed, measuring wake flow fields, collecting wake flow field distribution of the reference wind turbine with the tip speed ratio of 4.6, and closing the wind tunnel after the completion;
Step 8) after repeating the steps (4) and (5), adopting an orthogonal test design mode to adjust parameters to obtain set rotating speeds, and sequentially collecting thrust coefficients and power coefficients of the curved and swept wind turbine at different rotating speeds (corresponding to the range of tip speed ratios 1 to 5);
Step 9) adjusting parameters to obtain a set rotating speed, measuring wake flow fields, collecting wake flow field distribution of the sweep wind turbine at 4.6 hours, and closing the wind tunnel after the wake flow field distribution is completed;
and 10) comparing and analyzing the aerodynamic characteristics of each wind turbine under different working conditions to obtain the design of the optimal sweep wind turbine.
Wherein, the wind turbine power measurement in the step 6) and the step 8) adopts:
In the formula (2), ρ is air density, U hub is the incoming flow average wind speed of the center height of the rotary wind wheel, r is the radius of the wind wheel, ω is the rotating speed of the wind turbine, C pow is the power coefficient of different working conditions, T j is the instantaneous thrust of the corresponding working conditions, and f T (I, ω) is the relation between the output shaft power of the generator used in the test and the output current I and the rotating speed ω. In the test fT(I,ω)＝-0.1298+0.07518I+0.001066ω+0.001606I2+0.001425Iω+5.25x10-8ω2.
Similarly, the measurement of the thrust coefficient in steps 6) and 8) is processed by adopting the formula (3);
In the formula (3), ρ is air density, U hub is the incoming flow average wind speed of the center height of the rotating wind wheel of the wind machine, r is the radius of the wind wheel, n is the number of collected thrust data, T j is the instantaneous thrust under the corresponding working condition, and C Ti is the thrust coefficient under different working conditions.
Taking the low turbulence intensity of 0.5% as an example, r s/r=0.2, d/r=0.1 and m=2, the experimental results of the obtained power coefficients are shown in fig. 4. The difference of the output power of the curved-swept blade wind turbine and the reference wind turbine is smaller at a low tip speed ratio, and the power characteristic of the curved-swept blade wind turbine is improved compared with the reference wind turbine as the tip speed ratio increases to a larger value.
In the step 7) and the step 9), a pitot tube is adopted to calibrate a hot wire anemometer to measure wind speed in wake flow field measurement, and measuring points of a vertical plane right behind a rotary wind wheel tower and a central height horizontal plane of a rotary wind wheel of the wind turbine are measured, wherein the interval between adjacent measuring points is 5% of the relative radius of the rotary wind wheel, namely, the interval between adjacent measuring points is 1cm, and the distance between the measuring points is from the position of the center of the rotary wind wheel to the position 1.5 times of the relative radius of the rotary wind wheel. And the wake distributions at the 0.5, 1,2,3, 5 and 8D positions after the wake were measured, as shown in fig. 5 for a specific description.
And the accuracy of the measurement of the tail track flow field of the reference wind turbine is verified by adopting the (4) in the measurement of the tail track flow field of the hot wire anemometer and the three-dimensional moving and measuring device.
In the formula (4), Y is a wake transverse coordinate, U N0 is a dimensionless wake average wind speed value, U D is a dimensionless wind speed loss maximum value, U D is larger than 0;D r and represents the width of a wake at 0.5U D, and Y r is a start transverse coordinate of a wake center position. The specific comparative verification results can be shown in fig. 6.
Taking x=2d and a tip speed ratio of 4.67 as an example, fig. 7 is a graph of wake flow field results measured by hot wires in the method for optimizing aerodynamic performance of a swept blade wind turbine. The sweep blade was also chosen to take r s/r=0.2, d/r=0.1, and m=2 as an example, and it was found that the sweep blade increased the power factor and the wake loss became greater.
The wind turbine power, thrust and wake variation conditions at different positions in the curved wind turbine array can be analyzed under different incoming flow working conditions, and the wind turbine aerodynamic characteristic curve can be accurately drawn. The wind turbine optimization method is low in design cost and convenient to install, is suitable for comparing pneumatic data of the sweep wind turbine under different working conditions of wind tunnel experiments, is high in measurement accuracy, and has important engineering significance for wind turbine optimization research.
The invention is not limited to the above embodiments, and based on the technical solution disclosed in the invention, a person skilled in the art may make some substitutions and modifications to some technical features thereof without creative effort according to the technical content disclosed, and all the substitutions and modifications are within the protection scope of the invention.
Claims (3)
1. The aerodynamic performance optimization method of the curved swept blade wind turbine for the wind tunnel experiment is characterized by comprising the following steps of:
step 1), three-dimensional modeling software is used for designing a wind turbine swept blade, modeling a wind turbine tower and a supporting bottom plate, and three-dimensional printing by using a three-dimensional printer;
Step 2) building a device for pneumatically measuring the wind turbine with the swept blades in the wind tunnel;
Step 3), equipment safety inspection comprises whether a fastening bolt is loosened, whether a model wind turbine is fixedly installed, whether a current conditioning circuit and a rotating speed conditioning circuit are connected correctly and run normally, ensuring that each pipeline is kept unobstructed and free from blocking;
Step 4) setting the sampling frequency and the sampling time of each pneumatic characteristic measurement collector;
step 5), starting a wind tunnel, and adjusting the frequency of a control cabinet to obtain a set wind speed;
step 6) measuring the power of the wind turbine, regulating parameters to obtain set rotating speeds, and sequentially collecting thrust coefficients and power coefficients of the reference wind turbine at different rotating speeds;
Step 7) adjusting parameters to obtain a set rotating speed, measuring wake flow fields, collecting wake flow field distribution of a reference wind turbine, and closing a wind tunnel after the wake flow field distribution is completed;
Step 8) repeating the steps 4) and 5), measuring the power of the wind turbine by adopting a mode of orthogonal test design, regulating parameters to obtain set rotating speeds, and sequentially collecting thrust coefficients and power coefficients of the curved wind turbine at different rotating speeds, wherein the mode of adopting the orthogonal test design in the step 8) is to adopt three factors of the ratio of the initial sweep distance to the radius, the ratio of the tip offset to the radius and the curved strength in each tip speed ratio working condition, wherein each factor is divided into four types of levels, and setting 16 groups of combinations to perform wind tunnel tests;
Step 9) adjusting parameters to obtain a set rotating speed, measuring wake flow fields, collecting wake flow field distribution of the sweep wind turbine, and closing the wind tunnel after the completion;
Step 10), comparing and analyzing aerodynamic characteristics of each wind turbine under different working conditions to obtain the design of the optimal sweep wind turbine;
The wind turbine power measurement in the steps 6) and 8) is processed by adopting a formula (2);
In the formula (2), ρ is air density, U hub is the incoming flow average wind speed of the center height of the rotary wind wheel, r is the radius of the wind wheel, ω is the rotating speed of the wind turbine, C pow is the power coefficient of different working conditions, T j is the instantaneous thrust of the corresponding working conditions, and f T (I, ω) is the relation between the output shaft power of the generator used in the test and the output current I and the rotating speed ω;
The thrust coefficient in the steps 6) and 8) is processed by adopting a formula (3);
In the formula (3), n is the number of collected thrust data, and C T represents the thrust coefficient of a certain rotating speed working condition.
2. The method for optimizing aerodynamic performance of a swept blade wind turbine for wind tunnel experiments according to claim 1, wherein in the wake flow field measurement in the steps 7) and 9), a pitot tube calibration hot wire anemometer is adopted to measure wind speed, and measuring points of a vertical plane right behind a rotating wind wheel tower and a central height horizontal plane of a rotating wind wheel of the wind turbine are measured, the interval between adjacent measuring points is 5% of the relative radius of the rotating wind wheel, and the distance between the measuring points is 1.5 times of the relative radius of the rotating wind wheel from the position of the center of the rotating wind wheel.
3. The method for optimizing aerodynamic performance of a swept blade wind turbine for wind tunnel experiments according to claim 2, wherein the accuracy of the measurement of the tail flow field of the reference wind turbine is verified by adopting a formula (4) in the measurement of the tail flow field;
In the formula (4), Y is a wake transverse coordinate, U N0 is a dimensionless wake average wind speed value, U D is a dimensionless wind speed loss maximum value, U D is larger than 0;D r and represents the width of a wake at 0.5U D, and Y r is a start transverse coordinate of a wake center position.
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| CN110985294A (en) * | 2019-12-10 | 2020-04-10 | 华北电力大学 | A Stochastic Model Predictive Control Method Combined with Robust Probabilistic Tubes |
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| CN112983757B (en) * | 2021-03-08 | 2022-05-31 | 扬州大学 | Device and method for aerodynamic efficiency of wind turbine array for wind tunnel experiment |
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| CN106640546A (en) * | 2016-10-20 | 2017-05-10 | 安徽容知日新科技股份有限公司 | System and method for monitoring tower drum of wind power generation equipment |
| CN110985294A (en) * | 2019-12-10 | 2020-04-10 | 华北电力大学 | A Stochastic Model Predictive Control Method Combined with Robust Probabilistic Tubes |
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