Method, device and equipment for determining fan airfoil parameters and medium

Abstract

Embodiments of the present application provide a method, device, equipment and medium for determining a fan airfoil parameter. The method comprises: obtaining a target thickness parameter of a target fan airfoil, wherein the target thickness parameter is at least one of a relative thickness of the target fan airfoil and a trailing edge thickness of the target fan airfoil; searching, from a preset airfoil parameter sample library, target airfoil sample data matched with the target fan airfoil; and determining, according to the target airfoil sample data, the fan airfoil parameter of the target fan airfoil under the target thickness parameter. According to the embodiments of the present application, the efficiency of determining the fan airfoil parameter can be improved.

Description

Technical Field

[0001] This application pertains to the field of wind power generation, and particularly relates to methods, apparatus, equipment, and media for determining wind turbine airfoil parameters. Background Technology

[0002] Since the airfoil parameters of a wind turbine determine at least one of its aerodynamic performance, safety performance, power generation efficiency, etc., it is often necessary to determine the airfoil parameters during the wind turbine design process.

[0003] Currently, it is often necessary to generate many candidate wind turbine airfoil parameters, and then select the target wind turbine airfoil parameters from these candidates by verifying whether each candidate airfoil parameter meets the design factors. This method is often inefficient. Summary of the Invention

[0004] This application provides a method, apparatus, device, and medium for determining wind turbine airfoil parameters, which can improve the efficiency of determining wind turbine airfoil parameters.

[0005] In a first aspect, embodiments of this application provide a method for determining airfoil parameters of a wind turbine, the method comprising:

[0006] Obtain the target thickness parameter of the target wind turbine airfoil, wherein the target thickness parameter is at least one of the relative thickness of the target wind turbine airfoil and the trailing edge thickness of the target wind turbine airfoil;

[0007] Search for target airfoil sample data that matches the target wind turbine airfoil from the preset airfoil parameter sample library;

[0008] Based on the target airfoil sample data, determine the airfoil parameters of the target wind turbine under the target thickness parameters.

[0009] The target airfoil sample data includes sample data of wind turbine airfoil parameters corresponding to multiple reference thicknesses. The wind turbine airfoil parameters include aerodynamic data and geometric parameter data of the wind turbine airfoil.

[0010] Secondly, embodiments of this application provide a device for determining wind turbine airfoil parameters, the device comprising:

[0011] The thickness parameter acquisition module is used to acquire the target thickness parameter of the target wind turbine airfoil, wherein the target thickness parameter is at least one of the relative thickness of the target wind turbine airfoil and the trailing edge thickness of the target wind turbine airfoil.

[0012] The sample data determination module is used to search for target airfoil sample data that matches the target wind turbine airfoil from a preset airfoil parameter sample library;

[0013] The airfoil parameter determination module is used to determine the airfoil parameters of the target wind turbine airfoil under the target thickness parameters based on the target airfoil sample data.

[0014] The target airfoil sample data includes sample data of wind turbine airfoil parameters corresponding to multiple reference thicknesses. The wind turbine airfoil parameters include aerodynamic data and geometric parameter data of the wind turbine airfoil.

[0015] Thirdly, a blade is provided.

[0016] The blades comprise multiple airfoil shapes along their own axial direction.

[0017] In this embodiment, the airfoil parameters of at least one of the multiple airfoil types are determined according to the airfoil parameter determination method provided by the first aspect or any optional embodiment of the first aspect.

[0018] Fourthly, a wind turbine generator set is provided, the wind turbine generator set including blades provided in the third aspect or any optional embodiment of the third aspect.

[0019] Thirdly, a device for determining the airfoil parameters of a wind turbine is provided, comprising:

[0020] Processor and memory storing computer program instructions;

[0021] The processor reads and executes computer program instructions to implement the method for determining wind turbine airfoil parameters provided by the first aspect or any optional implementation of the first aspect.

[0022] Fourthly, a computer storage medium is provided, on which computer program instructions are stored, wherein when the computer program instructions are executed by a processor, the method for determining wind turbine airfoil parameters provided in the first aspect or any optional embodiment of the first aspect is implemented.

[0023] The method, apparatus, device, and medium for determining wind turbine airfoil parameters according to embodiments of this application can obtain the wind turbine airfoil parameters at a target thickness based on sample data of wind turbine airfoil parameters for multiple reference thicknesses in a preset airfoil parameter sample library. Therefore, compared to the prior art method of verifying many candidate wind turbine airfoil parameters one by one to select the target wind turbine airfoil parameter, the efficiency of determining wind turbine airfoil parameters is improved. Attached Figure Description

[0024] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a schematic diagram of a blunt-edge airfoil;

[0026] Figure 2 This is a schematic diagram of a pointed trailing edge airfoil;

[0027] Figure 3 This is a schematic diagram of the structure of a blunt-tailed blade;

[0028] Figure 4 This is a flowchart illustrating a method for determining airfoil parameters of a wind turbine, as provided in an embodiment of this application.

[0029] Figure 5 This is a flowchart illustrating another method for determining airfoil parameters of a wind turbine provided in an embodiment of this application;

[0030] Figure 6 This is a flowchart illustrating another method for determining airfoil parameters of a wind turbine provided in an embodiment of this application;

[0031] Figure 7 This is a schematic diagram of the blade thickness distribution and trailing edge thickness distribution;

[0032] Figure 8 This is a simulation diagram of the aerodynamic performance provided in the embodiments of this application;

[0033] Figure 9 This is a schematic diagram of the structure of a device for determining airfoil parameters of a wind turbine provided in an embodiment of this application;

[0034] Figure 10 A schematic diagram of an embodiment of the wind turbine airfoil parameter determination device provided in the third aspect of this application. Detailed Implementation

[0035] The features and exemplary embodiments of various aspects of this application will be described in detail below. To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit it. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples.

[0036] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0037] An airfoil refers to the axial cross-section of a blade and is a fundamental element in the design of wind turbine blades. Since the performance of airfoils and their distribution on blades directly determine the aerodynamic performance of wind turbine blades, airfoil design has been implemented and applied in wind turbine blade design. For example, the blunt trailing edge airfoil, as a blade cross-sectional shape that balances structural and aerodynamic performance, has already been designed and applied in the design of large wind turbine blades.

[0038] In one related technology, it is often necessary to generate many candidate wind turbine airfoil parameters, and then select the target wind turbine airfoil parameters from these candidates by verifying whether each candidate airfoil parameter meets the design factors. This method is often inefficient.

[0039] In particular, if the airfoil designed during basic experiments is found to be unsuitable for actual manufacturing, it needs to be redesigned and optimized. For example, if an airfoil with a trailing edge thickness of 5% is designed during basic experiments, but it is found that 5% is unusable during actual manufacturing, it needs to be redesigned. This not only leads to low design efficiency but also affects the blade manufacturing process.

[0040] The applicant's research on pointed and blunt-edge airfoils revealed that pointed-edge airfoils with different relative thicknesses exhibit similar distributions of geometric parameters and aerodynamic data. Similarly, blunt-edge airfoils with different relative thicknesses and trailing edge thicknesses also show similar distributions of geometric parameters and aerodynamic data. For example, multiple blunt-edge airfoils with the same relative thickness but different trailing edge thicknesses share similar distributions of geometric parameters and aerodynamic data.

[0041] Based on this, embodiments of this application provide a method, apparatus, device, and medium for determining wind turbine airfoil parameters, which can be applied to application scenarios of wind turbine airfoil design. For example, it can be specifically applied to specific application scenarios for blunt-tail or pointed-tail airfoil design. Because in the process of determining wind turbine airfoil parameters, the airfoil parameters at the target thickness can be obtained based on the first wind turbine airfoil parameters for multiple reference thicknesses in a preset airfoil parameter sample library. Therefore, compared to the prior art scheme of verifying many candidate wind turbine airfoil parameters one by one to select the target wind turbine airfoil parameters, the airfoil parameters at the target thickness can be obtained using multiple preset first wind turbine airfoil parameters for each reference thickness, thus improving the efficiency of wind turbine airfoil parameter determination.

[0042] To better understand this application, the embodiments of this application will explain in detail the concepts of wind turbine airfoil, wind turbine blade, and wind turbine airfoil parameters.

[0043] (1) Airfoil (or aerofoil) for wind turbines.

[0044] It refers to the cross-section of the wind turbine blade in the axial direction. It is the basic cross-sectional shape that constitutes the blade's shape. When the wind flows over the airfoil at a certain angle, it will generate lift that lifts the airfoil. The component of the lift in the direction of blade rotation drives the blade's rotation.

[0045] An airfoil consists of a leading edge and a trailing edge in the chord direction. The leading edge is the blade edge facing the direction of rotation during normal power generation operation. The trailing edge is the blade edge away from the direction of rotation during normal power generation operation.

[0046] Specifically, wind turbine airfoils can be classified into pointed trailing edge airfoils and blunt trailing edge airfoils based on trailing edge thickness. More specifically, airfoils with a certain thickness at the trailing edge can be classified as blunt trailing edge airfoils, while those without are classified as pointed trailing edge airfoils.

[0047] For ease of understanding, Figure 1 This is a schematic diagram of a blunt trailing edge airfoil. Figure 1 The blade's chordal direction X and thickness direction Z are shown. The blunt trailing edge airfoil has a leading edge 11 and a blunt trailing edge 12 in the chordal direction X. The thickness of the blunt trailing edge 12 in the thickness direction Z is called the trailing edge thickness. For ease of representation, the trailing edge thickness can be expressed as a dimensionless unit, i.e., a percentage of its length relative to the chord line 13. The chord line 13 is a straight line connecting the leading edge 11 and the blunt trailing edge 12; for example, it could be a straight line connecting the midpoint of the line connecting the ends of the leading edge 11 and the blunt trailing edge 12.

[0048] The upper and lower arcs of the airfoil between the leading edge 11 and the blunt trailing edge 12 constitute the geometric shape of the airfoil. Among them, the maximum thickness line 14 of the airfoil corresponds to the maximum distance between the upper and lower arcs of the airfoil in the blade thickness direction Z. This maximum distance can be called the relative thickness of the wind turbine airfoil, which can also be defined as the maximum diameter of the inscribed circles of the upper and lower arc surfaces.

[0049] At the same relative thickness, different trailing edge thicknesses correspond to different upper and lower airfoil curves for wind turbine airfoils. For example, when the trailing edge thickness is 3%, it corresponds to upper airfoil curve 151 and lower airfoil curve 152; when the trailing edge thickness is 6%, it corresponds to upper airfoil curve 161 and lower airfoil curve 162; and when the trailing edge thickness is 12%, it corresponds to upper airfoil curve 171 and lower airfoil curve 172.

[0050] Figure 2 This is a schematic diagram of a pointed trailing edge airfoil. (For example...) Figure 2 As shown, the pointed trailing edge airfoil has a leading edge 11 and a pointed trailing edge 18 in the thickness direction Z of the blade. The upper arc line 191 and the lower arc line 192 of the airfoil between the leading edge 11 and the pointed trailing edge 18 constitute the geometric shape of the pointed trailing edge irregular shape.

[0051] (2) Fan blades.

[0052] The key component in a wind turbine that converts wind energy into electrical energy is typically a slender beam-shell structure made of composite materials, with a streamlined cross-section conforming to aerodynamic principles. The turbine blades include both pointed-tail blades and blunt-tail blades. The pointed-tail blades have a cross-section along their axial direction that is as follows... Figure 2 The pointed-tail airfoil shown. The blunt-tailed blade has a cross-sectional portion along its axial direction as shown. Figure 1 The blunt tail airfoil shown.

[0053] Figure 3 This is a schematic diagram of the structure of a blunt-tailed blade. Figure 3 The blade is shown in the chordal direction X, axial direction Y, and thickness direction Z. The blunt trailing edge blade 1 has a leading edge 21 and a trailing edge 22 in the chordal direction X. The blunt trailing edge blade 1 includes a blade root 23 and a blade tip 24 in the axial direction Y. The section with the largest chord length among the multiple cross-sections in the axial direction Y is located at the spanwise position with the maximum chord 26. The maximum chord position 26 is typically located approximately 20% of the blade's axial length from the blade root in the axial direction Y; that is, the distance between the maximum chord position 26 and the blade root in the axial direction Y is approximately 20% of the total blade length.

[0054] Between the leaf root 23 and the maximum chord length position 26, the blade has a cylindrical leaf root portion 27 and a transition portion 28. In some embodiments, a blunt trailing edge airfoil 25 may be located in the transition portion 28. In other embodiments, the blunt trailing edge airfoil 25 may also be located in the middle between the transition portion 28 and the blade tip 24.

[0055] (3) Wind turbine airfoil parameters.

[0056] Wind turbine airfoil parameters include aerodynamic data and geometric parameters of the wind turbine airfoil.

[0057] First, the aerodynamic data for wind turbine airfoils can be data representing the aerodynamic performance of the airfoil. In some embodiments, the aerodynamic data for wind turbine airfoils may include the characteristics of lift coefficient as a function of angle of attack, drag coefficient as a function of angle of attack, moment coefficient as a function of angle of attack, maximum lift coefficient, etc.

[0058] Secondly, the geometric parameters of the wind turbine airfoil can include the position coordinates of each point on the upper arc of the airfoil and the position coordinates of each point on the lower arc of the airfoil.

[0059] After introducing the above concepts, since the wind turbine airfoil parameter determination scheme in this application embodiment requires the use of a pre-generated airfoil parameter sample library, it is necessary to generate the airfoil parameter sample library in advance before using it to determine the wind turbine airfoil parameters. Therefore, the following sections of this application embodiment will first provide a detailed explanation of how the airfoil parameter sample library is generated.

[0060] For pointed trailing edge airfoils, the preset airfoil parameter sample library can include sample data of wind turbine airfoil parameters corresponding to multiple relative thickness values. For example, the preset airfoil parameter sample library can include wind turbine airfoil parameters for pointed trailing edge airfoils at at least two relative thicknesses of 100%, 40%, 35%, 25%, 21%, and 18%. For instance, the preset airfoil parameter sample library can be wind turbine airfoil parameters for multiple standard thickness airfoils.

[0061] For airfoils with sharp trailing edges, the method for generating the airfoil parameter sample library includes steps A1 and A2:

[0062] Step A1: Obtain sample data of the airfoil parameters corresponding to each of the multiple relative thickness values.

[0063] In some embodiments, since the geometric parameters and aerodynamic data of different models and series of wind turbine airfoils are different, in order to improve the practicality of the wind turbine airfoil parameter determination method provided in this application embodiment, sample data of wind turbine airfoil parameters corresponding to multiple relative thickness values ​​can be obtained for different models and series of wind turbine airfoils.

[0064] In some embodiments, the sample data of wind turbine airfoil parameters corresponding to each of the multiple relative thickness values ​​can be wind turbine airfoil parameters of multiple standard thickness airfoils. The sample data of wind turbine airfoil parameters includes sample data of the geometric parameters and / or aerodynamic data of the wind turbine airfoil.

[0065] Furthermore, in some embodiments, if the sample data of wind turbine airfoil parameters includes sample data of the geometric shape parameters of the wind turbine airfoil, the acquisition method can also be as follows:

[0066] The sample data for the airfoil parameters corresponding to multiple relative thickness values ​​can be the optimal airfoil parameters for that relative thickness obtained through optimization. For example, the sample data for the airfoil parameters for each relative thickness value can be the airfoil parameters that satisfy factors such as smooth lines and good aerodynamic performance for that relative thickness value.

[0067] For example, for each thickness, a large amount of geometric shape parameter data for the trailing edge airfoil at a certain relative thickness value can be determined first. Then, an optimization method is used to determine the optimal geometric shape parameter data, which serves as the sample data for the geometric shape parameter data at that relative thickness value. In the optimization method, parameters such as lift, lift-to-drag ratio, stall angle of attack stability, roughness sensitivity, and Reynolds number sensitivity can be used as optimization evaluation indicators to select the optimal geometric shape parameters from the large amount of geometric shape parameter data.

[0068] In some embodiments, if the sample data for wind turbine airfoil parameters includes sample data for the aerodynamic data of the wind turbine airfoil, the acquisition method may also be as follows:

[0069] Sample data of aerodynamic data for wind turbine airfoils can be determined through methods such as wind tunnel experiments, field testing, or numerical simulation. Numerical simulation can include methods such as the vortex method or solving the Navier-Stokes equations.

[0070] It should be noted that other feasible methods can also be used to obtain sample data of aerodynamic data, and the specific acquisition method is not limited in the embodiments of this application.

[0071] Step A2: Generate a preset airfoil parameter sample library based on sample data of multiple wind turbine airfoil parameters. The sample data in the preset airfoil parameter database can be stored in various data formats, and there are no restrictions on this.

[0072] In some embodiments, sample data of the geometrical parameters of a sharp-edge airfoil with a relative thickness X can be represented as G_X, and sample data of its aerodynamic data can be represented as A_X. For example, sample data of the geometrical parameters of a sharp-edge airfoil with a relative thickness of 40% can be represented as G_40, and sample data of its aerodynamic data can be represented as A_40.

[0073] It should be noted that the above sample data can also be represented in other forms, and this application embodiment does not specifically limit this.

[0074] For blunt trailing edge airfoils, the preset airfoil parameter sample library can include airfoil sample data corresponding to multiple relative thickness values. For example, it can include airfoil sample data for relative thickness values ​​such as 80%, 60%, and 40%. Each airfoil sample data can include sample data for wind turbine airfoil parameters for multiple trailing edge thicknesses. For instance, the airfoil sample data for a 60% relative thickness value can include: a first sample data for a 3% trailing edge thickness, a second sample data for a 6% trailing edge thickness, and a third sample data for a 12% trailing edge thickness. It should be noted that the embodiments of this application do not limit the number of airfoil sample data in the sample database, nor the number of wind turbine airfoil parameter sample data within each airfoil sample data.

[0075] For airfoils with blunt trailing edges, the method for generating the airfoil parameter sample library includes steps B1 and B2:

[0076] Step B1: Obtain multiple airfoil sample data corresponding one-to-one with multiple relative thickness values. Each airfoil sample data includes sample data of wind turbine airfoil parameters corresponding to multiple trailing edge thicknesses under the corresponding relative thickness value.

[0077] In some embodiments, since the geometric parameters and aerodynamic data of different models and series of wind turbine airfoils are different, in order to improve the practicality of the wind turbine airfoil parameter determination method provided in this application embodiment, multiple airfoil sample data corresponding one-to-one with multiple relative thickness values ​​can be obtained for different models and series of wind turbine airfoils.

[0078] In some embodiments, for each airfoil sample data, the range of multiple trailing edge thicknesses under the corresponding relative thickness value is 0 to the corresponding relative thickness value.

[0079] For example, the trailing edge thickness corresponding to the sample data of multiple wind turbine airfoil parameters in the airfoil sample data of 60% relative thickness value is greater than or equal to 0 and not greater than 60%.

[0080] Next, this application will provide a detailed description of the sample data for wind turbine airfoil parameters.

[0081] First, if the sample data for wind turbine airfoil parameters includes sample data for the geometric shape parameters of the wind turbine airfoil, the method for obtaining it can be as follows:

[0082] In some embodiments, for each airfoil sample data, after obtaining the geometric parameters of the pointed trailing edge airfoil with the relative thickness value, the geometric parameter data of the pointed trailing edge airfoil with the relative thickness value can be processed using methods such as mid-curve symmetric thickening, airfoil curvature rotation relative to leading edge thickening, and curvature deflection thickening to obtain sample data of the geometric parameters of blunt trailing edge airfoils with different trailing edge thicknesses at that relative thickness value. For example, using the geometric parameter data of a pointed trailing edge airfoil with a relative thickness of 60%, sample data of the geometric parameters of a first blunt trailing edge airfoil with a trailing edge thickness of 3% at 60% relative thickness, sample data of the geometric parameters of a second blunt trailing edge airfoil with a trailing edge thickness of 6% and sample data of the geometric parameters of a third blunt trailing edge airfoil with a trailing edge thickness of 12% can be obtained.

[0083] In other embodiments, the geometric parameters of blunt trailing-edge airfoils with different trailing-edge thicknesses at the given relative thickness value can be directly optimized. For example, for each thickness, a large number of geometric parameters of the blunt trailing-edge airfoil at a given relative thickness and trailing-edge thickness can be determined first. Then, an optimization method is used to determine the optimal geometric parameters of the blunt trailing-edge airfoil at that relative thickness and trailing-edge thickness. In the optimization method, parameters such as lift, lift-to-drag ratio, stall angle-of-attack stability, roughness sensitivity, and Reynolds degree sensitivity can be used as optimization evaluation indicators to select the optimal geometric parameters from a large number of geometric parameters.

[0084] It should be noted that sample data of the geometric shape parameters of the wind turbine airfoil can also be obtained through other feasible methods, but this application embodiment does not limit this.

[0085] Secondly, if the sample data for wind turbine airfoil parameters includes sample data for the aerodynamic data of the wind turbine airfoil, the acquisition method can also be as follows:

[0086] In some embodiments, sample data of the aerodynamic data of the wind turbine airfoil can be determined through methods such as wind tunnel experiments, field testing, or numerical simulation. Numerical simulation can include methods such as the vortex method or solving the Navier-Stokes equations.

[0087] It should be noted that other feasible methods can also be used to obtain sample data of aerodynamic data, and the specific acquisition method is not limited in the embodiments of this application.

[0088] Step B2: Generate a preset airfoil parameter sample library based on multiple airfoil sample data.

[0089] The sample data in the preset airfoil parameter database can be stored in various data formats without limitation.

[0090] In some embodiments, if the preset airfoil parameter sample library includes m relative thickness values ​​(X1, ..., X...), m Given m corresponding airfoil sample data, the relative thickness value X i The airfoil sample data includes n trailing edge thicknesses (represented by Y). i1 ... Y in The sample data of the corresponding wind turbine airfoil parameters are used to determine the relative thickness value X. i The geometric parameters of the n trailing edge thicknesses can be represented as (GY) i1 , ..., GY in )_X i The relative thickness value X i The aerodynamic data for the n trailing edge thicknesses can be expressed as (AY) i1 , ...,AY in )_X i Accordingly, the relative thickness value X i The airfoil sample data can be represented as (GY) i1 , ..., GY in AY i1 , ...,AY in )_X i Where i is any positive integer less than or equal to m, and both m and n are greater than or equal to 2.

[0091] As an example, if the preset airfoil parameter sample library includes airfoil sample data with relative thicknesses of 80%, 60%, and 40%, and each airfoil sample data includes sample data of wind turbine airfoil parameters with trailing edge thicknesses of 3%, 6%, and 12%, then the three airfoil sample data can be represented as (G3, G6, G12, A3, A6, A12)_80, (G3, G6, G12, A3, A6, A12)_60, and (G3, G6, G12, A3, A6, A12)_40, respectively.

[0092] It should be noted that the above sample data can also be represented in other forms, and this application embodiment does not specifically limit this.

[0093] To better understand this application, the following will describe in detail, with reference to the accompanying drawings, the method, apparatus, device and medium for determining the airfoil parameters of wind turbines according to embodiments of this application. It should be noted that these embodiments are not intended to limit the scope of this application.

[0094] Figure 4This is a flowchart illustrating a method for determining airfoil parameters of a wind turbine according to an embodiment of this application. It should be noted that the executing entity for each part of this embodiment can be a device with computing capabilities, such as a computer, and this application does not specifically limit this.

[0095] like Figure 4 As shown, the methods for determining the airfoil parameters of wind turbines include S410 to S430.

[0096] S410: Obtain the target thickness parameters of the target wind turbine airfoil.

[0097] The target thickness parameter is at least one of the relative thickness of the target wind turbine airfoil and the trailing edge thickness of the target wind turbine airfoil. In some embodiments, to improve the design freedom and versatility, both the relative thickness and the trailing edge thickness can be dimensionless elements. For example, the relative thickness can be the ratio of the maximum thickness of the target wind turbine airfoil to the chord length, and the trailing edge thickness can also be the ratio of the trailing edge thickness to the chord length.

[0098] In the embodiments of this application, the target wind turbine airfoil can be a pointed trailing edge airfoil and / or a blunt trailing edge airfoil. It should be noted that during the design process of the pointed trailing edge blade, the target wind turbine airfoil is a pointed trailing edge airfoil. During the design process of the blunt trailing edge blade, the target wind turbine airfoil can be a pointed trailing edge airfoil and / or a blunt trailing edge airfoil.

[0099] The S410 will now be explained in detail using both pointed and blunt trailing edge airfoils.

[0100] First, regarding the pointed trailing edge airfoil.

[0101] In some embodiments, the target thickness parameter may be a relative thickness, since it does not have a trailing edge thickness.

[0102] In some embodiments, to obtain the target thickness parameter, during the blade design process, the cross section that meets the blade's relative thickness smoothness requirement can be used as the target wind turbine airfoil, and the relative thickness of the cross section that meets the relative thickness smoothness requirement can be used as the target thickness parameter.

[0103] First, for blunt trailing edge airfoils.

[0104] Regarding the target thickness parameter, in some embodiments, if the preset airfoil parameter sample library includes airfoil sample data with relative thicknesses to the target wind turbine airfoil, then the target thickness parameter can be the relative thickness. In other embodiments, if the preset airfoil parameter sample library does not include airfoil sample data with relative thicknesses to the target wind turbine airfoil, then the target thickness parameter can be both the relative thickness and the trailing edge thickness.

[0105] In some embodiments, to obtain the target thickness parameters, during the blade design process, the target wind turbine airfoil can be a cross-section that meets both the relative thickness smoothness requirements and the trailing edge thickness smoothness requirements. Accordingly, the target thickness parameters of the target wind turbine airfoil include: the relative thickness of the cross-section that meets both the relative thickness smoothness requirements and the trailing edge thickness smoothness requirements, and / or, the trailing edge thickness of the cross-section that meets both the relative thickness smoothness requirements and the trailing edge thickness smoothness requirements.

[0106] S420: Search for target airfoil sample data that matches the target wind turbine airfoil from the preset airfoil parameter sample library.

[0107] First, the specific contents of the preset airfoil parameter sample library can be found in the relevant content of the above section of this application, and will not be repeated here.

[0108] Next, we will provide a detailed explanation of the target airfoil sample data and the specific implementation of S420, using both pointed and blunt trailing edge airfoils.

[0109] The target airfoil sample data includes sample data of wind turbine airfoil parameters corresponding to multiple reference thicknesses.

[0110] For sharp-tailed airfoils, in some embodiments, the target airfoil sample data includes: sample data of wind turbine airfoil parameters corresponding to multiple relative thickness values ​​in a preset airfoil parameter sample library.

[0111] For example, if it is necessary to design an airfoil with a relative thickness of 20%, the target airfoil sample data may include sample data of wind turbine airfoil parameters of airfoils with sharp trailing edges of 100%, 40%, 35%, 25%, 21%, and 18%.

[0112] In one example, the preset airfoil parameter sample library includes sample data of wind turbine airfoils of different models and series, and the wind turbine airfoil parameters corresponding to the multiple relative thickness values ​​of each model. The target airfoil sample data includes: sample data of wind turbine airfoil parameters corresponding to the multiple relative thickness values ​​of the target wind turbine airfoil of its model and series.

[0113] For blunt trailing edge airfoils. In some embodiments, if the preset airfoil parameter sample library includes airfoil sample data with relative thickness to the target wind turbine airfoil, then the target airfoil sample data includes: sample data of wind turbine airfoil parameters corresponding to multiple trailing edge thicknesses under the relative thickness.

[0114] In other embodiments, if the preset airfoil parameter sample library does not include airfoil sample data with relative thickness to the target wind turbine airfoil, the target thickness parameter can be multiple airfoil sample data corresponding to multiple relative thickness values, wherein each airfoil sample data includes sample data of wind turbine airfoil parameters corresponding to multiple trailing edge thicknesses under the corresponding relative thickness value.

[0115] In one example, the preset airfoil parameter sample library includes multiple airfoil sample data for different models and series of wind turbine airfoils. The target airfoil sample data includes multiple airfoil sample data corresponding to the model and series of the target wind turbine airfoil.

[0116] S430, based on the target airfoil sample data, determine the airfoil parameters of the target wind turbine under the target thickness parameters. The airfoil parameters include the aerodynamic data and geometric shape parameters of the airfoil.

[0117] In some embodiments, after obtaining the target airfoil sample data, the airfoil parameters of the target wind turbine airfoil under the target thickness parameters can be obtained by interpolation.

[0118] Figure 5 This is a flowchart illustrating another method for determining wind turbine airfoil parameters provided in this application embodiment. S430 may specifically include:

[0119] S431, sampling preset interpolation algorithm, interpolates the sample data of wind turbine airfoil parameters for multiple reference thicknesses to obtain the wind turbine airfoil parameters at the target thickness.

[0120] First, the preset interpolation algorithm can be either linear or nonlinear. For example, the interpolation method can be nonlinear, such as B-spline interpolation or Lagrange interpolation, without specific limitations. In one example, because B-spline interpolation can fit a continuous and smooth curve, the geometric parameter data corresponding to the target thickness parameter obtained using B-spline interpolation is continuously smooth, thus giving the target wind turbine airfoil a smooth shape.

[0121] In terms of interpolation methods, interpolation can be used. For example, using sample data of wind turbine airfoil parameters for blunt trailing edge airfoils with 3%, 6%, and 12% trailing edge thicknesses at a relative thickness of 60%, the airfoil parameters for a blunt trailing edge airfoil with 4.5% trailing edge thickness at a relative thickness of 60% can be interpolated. Alternatively, extrapolation can be used. Continuing with the previous example, the airfoil parameters for a blunt trailing edge airfoil with 15% trailing edge thickness at a relative thickness of 60% can be interpolated.

[0122] Secondly, for a specific implementation of S431, in one example, S431 may specifically include the following steps C1-C3.

[0123] Step C1: Using sample data of the airfoil parameters of multiple reference thicknesses, generate an expression for the airfoil parameters of the target airfoil.

[0124] In some embodiments, the expression can be an explicit expression, an implicit expression, or a parameterized expression.

[0125] For example, if it is necessary to set a blunt trailing edge airfoil with a relative thickness of 60% and a trailing edge thickness of 4%, the sample data of the wind turbine airfoil parameters for the airfoil sample data with a relative thickness of 60% can include: (G3, G6, G12, A3, A6, A12)_60.

[0126] Accordingly, taking the implicit expression as an example, the implicit expression of the airfoil parameters of the target airfoil can be expressed as the following formula (1):

[0127] (Gt, At)_60=F2 ((G3, G6, G12, A3, A6, A12)_60, t60) (1)

[0128] By using the implicit expression of the airfoil parameters of the target wind turbine, the implicit functional variation law between the airfoil parameters can be accurately expressed.

[0129] Step C2: Based on the expression, establish the interpolation function expression for the airfoil parameters of the target airfoil, where the interpolation function represents the relationship between the airfoil parameters and the reference thickness.

[0130] Continuing from the previous example, if the pre-established spline interpolation function is p = spline(x,y,xi), then the interpolation function expression for the airfoil parameters of the wind turbine airfoil can be expressed as:

[0131] (Gt,At)_60=spline((3,6,12),(G3,G6,G12,A3,A6,A12)_80,t80) (2)

[0133] Step C3: Use the interpolation function expression to determine the airfoil parameters corresponding to the target thickness.

[0134] In some embodiments, a blunt trailing edge airfoil with a relative thickness of 60% and a trailing edge thickness of 4% can be obtained by using the interpolation function expression shown in formula (2) above.

[0135] In another embodiment, after obtaining the target airfoil sample data, the airfoil parameters of the target wind turbine airfoil under the target thickness parameters can be obtained through interpolation or optimization methods. Specifically, the optimization method can be a surrogate model method, genetic algorithm, particle swarm optimization method, gradient method, or other optimization methods. This application does not limit this approach.

[0136] In some embodiments, in S430, for the target wind turbine airfoil, if it is a pointed trailing edge airfoil or a blunt trailing edge airfoil, the geometric shape parameter data of its upper and lower arc lines can be determined using the above-mentioned interpolation method or optimization method.

[0137] In one example, see [link to example]. Figure 1 Because multiple blunt-edge airfoils with the same relative thickness but different trailing edge thicknesses have almost identical geometric shape parameters for the upper and lower arcs of the airfoil between the leading edge and the maximum thickness line, it is possible to improve the efficiency of determining the set of shape parameter data for the target airfoil by using only the geometric shape parameter data of the upper and lower arcs of the airfoil between the maximum thickness line and the trailing edge using interpolation or optimization algorithms. In one example, the geometric shape parameters of the upper and lower arcs of the airfoil from any sample data at that relative thickness can be used as the geometric shape parameters of the upper and lower arcs of the target wind turbine airfoil.

[0138] The method for determining wind turbine airfoil parameters according to embodiments of this application can obtain the airfoil parameters of the target wind turbine airfoil at the target thickness based on sample data of wind turbine airfoil parameters for multiple reference thicknesses in a preset airfoil parameter sample library. Therefore, compared to the prior art method of verifying many candidate wind turbine airfoil parameters one by one to select the target airfoil parameter, the efficiency of determining wind turbine airfoil parameters is improved.

[0139] Furthermore, the airfoil parameters of the target wind turbine airfoil at the target thickness, obtained through the airfoil parameter determination method of this application embodiment, are used to design the target wind turbine airfoil. The target wind turbine airfoil determined based on the airfoil parameters at the target thickness can meet the aerodynamic performance requirements and geometric shape parameter requirements. The set of shape parameters calculated using the B-spline interpolation algorithm can also ensure the smoothness of the target wind turbine airfoil's shape.

[0140] In some embodiments, the applicant found that traditional wind turbine airfoils often follow aviation airfoils, resulting in a relatively small design angle of attack, typically around 6°. However, with the development of wind turbine blades, such as for blunt-tailed blades, the 6° design angle of attack range is not suitable for the inflow angle distribution from the blade root to the maximum chord length, often leading to flow separation in the blade transition section. Based on this, the applicant proposed a scheme that allows for redefining the design angle of attack during airfoil design.

[0141] Accordingly, the method for determining the airfoil parameters of a wind turbine may also include steps D1 and D2:

[0142] Step D1: Obtain the inflow angle φ and twist angle β of the target wind turbine airfoil.

[0143] In some embodiments, the inflow angle of the target wind turbine airfoil can be calculated based on the blade element momentum theory. For example, the formula (3) for calculating the inflow angle of the target wind turbine airfoil may include:

[0144]

[0145] Where a is the axial induction factor, b is the longitudinal induction factor, and λ tip The tip speed ratio.

[0146] It should be noted that other algorithms and formulas can be used for the inflow angle, which will not be elaborated upon in this application.

[0147] In some embodiments, the torsion angle β can be determined from a range of torque values ​​achievable by the manufacturing process, which can be [-5°, 20°]. For example, the maximum torsion angle value can be in the range of [15°, 17°].

[0148] In one example, the angle of attack of the target airfoil can be determined based on the twist distribution of each airfoil across the entire blade.

[0149] Step D2: Calculate the difference between the inflow angle φ and the twist angle β to obtain the target design angle of attack of the target wind turbine airfoil.

[0150] Specifically, the target design angle of attack satisfies formula (4):

[0151]

[0152] In one example, since both the inflow angle and the twist angle are related to the impeller radius, the impeller radius of the wind turbine to which the target airfoil belongs can be determined first, and then the inflow angle φ and the twist angle β related to the impeller radius can be determined, and then the target design angle of attack can be calculated.

[0153] The solution presented in this embodiment, compared to existing design methods that use an empirical value around 6° for the design angle of attack, ensures a more reasonable design angle of attack. For airfoils in the transition section, due to the large inflow angle, a smaller design angle of attack would cause the airfoil to operate at a larger flow angle of attack, resulting in flow separation. The method for determining the target design angle of attack proposed in this application avoids this problem.

[0154] In some embodiments, the design method for wind turbine airfoil profile parameters provided in this application can be applied to the blade design process.

[0155] Accordingly, Figure 6 This is a flowchart illustrating another method for determining airfoil parameters of a wind turbine provided in an embodiment of this application. Figure 6 and Figure 4 The difference is that the S440 was included before the S410.

[0156] S440, based on an optimization algorithm, determines the target thickness parameters of multiple airfoils on the wind turbine blades, wherein the distribution of the target thickness parameters of the multiple airfoils is smooth, and the multiple airfoils include the target airfoil.

[0157] In some embodiments, the smoothness of the target thickness parameter distribution means that the target thickness parameters of multiple wind turbine airfoils decrease sequentially from near to far from the blade root, and the distribution curves of the target thickness parameters and each airfoil along the blade axis are smooth curves.

[0158] In one embodiment, for a pointed trailing edge blade, the relative thicknesses of multiple wind turbine airfoils can be determined based on an optimization algorithm. Since the relative thickness distribution of the multiple wind turbine airfoils is smooth, the thickness of the designed pointed trailing edge blade can also be smooth.

[0159] In another embodiment, for a blunt trailing edge blade, the relative thickness and trailing edge thickness of multiple airfoils on the wind turbine blade can be determined based on an optimization algorithm, wherein the relative thickness distribution of the multiple airfoils is smooth, and the trailing edge thickness distribution of the multiple airfoils is also smooth.

[0160] It should be noted that the optimization algorithm used in S440 can be any optimization condition that makes the target thickness parameter of the blade smooth, such as constraint conditions or smoothness algorithms, etc., without limitation.

[0161] Accordingly, S410 may specifically include:

[0162] Among multiple target thickness parameters for wind turbine airfoils, determine the target thickness parameter for the target wind turbine airfoil.

[0163] In some embodiments, multiple wind turbine airfoils can be sequentially used as target wind turbine airfoils to achieve the design of the entire blade.

[0164] In existing technologies, when the relative thickness of a blunt tail airfoil is determined, its trailing edge thickness is also determined. Therefore, in the process of designing blunt trailing edge blades, it is difficult to simultaneously satisfy the smoothness of the relative thickness distribution and the smoothness of the trailing edge thickness distribution.

[0165] The solution provided in this application allows for flexible acquisition of the trailing edge thickness through interpolation, thus enabling the blade design to simultaneously achieve both smoothness in thickness distribution and smoothness in trailing edge thickness distribution. This improves the rationality of the design. The blades designed using this application, possessing both smoothness in thickness distribution and smoothness in trailing edge thickness distribution, facilitate the blade layup and manufacturing process, while avoiding stress concentration and increasing the structural stability of the blade.

[0166] Figure 7 This is a schematic diagram of the thickness distribution of a blade and the thickness distribution of its trailing edge.

[0167] like Figure 7 As shown, under the condition that the change of blade thickness distribution (i.e., relative thickness of each section) with blade span (i.e. blade axis) meets the smoothness requirement, the curve of the change of trailing edge thickness distribution with blade span (i.e. blade axis) provided in this application meets the smoothness requirement (smooth and gradually decreasing), while the curves of the change of trailing edge thickness distribution with blade span (i.e. blade axis) in prior art 1-3 do not meet the smoothness requirement.

[0168] Figure 8 This is a simulation diagram of the aerodynamic performance provided in the embodiments of this application.

[0169] pass Figure 8 It is understood that, in terms of aerodynamics, this application can improve the aerodynamic performance of the blade transition section region and increase the power coefficient of the wind turbine compared with the prior art.

[0170] Based on the same concept, in addition to providing a method for determining wind turbine airfoil parameters, this application also provides a corresponding device for determining wind turbine airfoil parameters.

[0171] The following, with reference to the accompanying drawings, details the apparatus for determining wind turbine airfoil parameters according to an embodiment of this application.

[0172] Figure 9 This is a schematic diagram of a device for determining wind turbine airfoil parameters provided in an embodiment of this application. Figure 9 As shown, the wind turbine airfoil parameter determination device 900 includes: a thickness parameter acquisition module 910, a sample data determination module 920, and an airfoil parameter determination module 930.

[0173] The thickness parameter acquisition module 910 is used to acquire the target thickness parameter of the target wind turbine airfoil, wherein the target thickness parameter is at least one of the relative thickness of the target wind turbine airfoil and the trailing edge thickness of the target wind turbine airfoil.

[0174] The sample data determination module 920 is used to search for target airfoil sample data that matches the target wind turbine airfoil from a preset airfoil parameter sample library;

[0175] The airfoil parameter determination module 930 is used to determine the airfoil parameters of the target wind turbine airfoil under the target thickness parameters based on the target airfoil sample data.

[0176] The target airfoil sample data includes sample data of wind turbine airfoil parameters corresponding to multiple reference thicknesses. The wind turbine airfoil parameters include aerodynamic data and geometric parameter data of the wind turbine airfoil.

[0177] In some embodiments, the airfoil parameter determination module 930 is specifically used for:

[0178] A preset interpolation algorithm is used to interpolate the sample data of the airfoil parameters of multiple reference thicknesses to obtain the airfoil parameters of the airfoil at the target thickness.

[0179] In some embodiments, the preset interpolation algorithm is a spline interpolation algorithm.

[0180] In some embodiments, the airfoil parameter determination module 930 specifically includes:

[0181] The first expression generation unit is used to generate an implicit expression for the airfoil parameters of the target airfoil by using sample data of airfoil parameters of multiple reference thicknesses.

[0182] The second expression generation unit is used to establish an interpolation function expression for the airfoil parameters of the target airfoil based on the implicit expression, wherein the interpolation function represents the relationship between the airfoil parameters and the reference thickness.

[0183] The airfoil parameter determination unit is used to determine the airfoil parameters corresponding to the target thickness using interpolation function expressions.

[0184] In some embodiments, the wind turbine airfoil parameter determining device 900 further includes:

[0185] Angle acquisition module, used to acquire the inflow angle and twist angle of the target wind turbine airfoil;

[0186] The angle of attack calculation module is used to calculate the difference between the inflow angle and the twist angle to obtain the target design angle of attack of the target wind turbine airfoil.

[0187] In some embodiments, the target wind turbine airfoil is a pointed trailing edge airfoil, and the wind turbine airfoil parameter determining device 900 further includes:

[0188] The sample data acquisition module is used to acquire sample data of the airfoil parameters corresponding to multiple relative thickness values.

[0189] The sample library generation module is used to generate a preset airfoil parameter sample library based on sample data of multiple wind turbine airfoil parameters.

[0190] In some embodiments, the wind turbine airfoil is a blunt trailing edge airfoil, and the wind turbine airfoil parameter determining device 900 further includes:

[0191] The sample data acquisition module is used to acquire multiple airfoil sample data that correspond one-to-one with multiple relative thickness values. Each airfoil sample data includes sample data of wind turbine airfoil parameters corresponding to multiple trailing edge thicknesses under the corresponding relative thickness value.

[0192] The sample library generation module is used to generate a preset airfoil parameter sample library based on multiple airfoil sample data.

[0193] In some embodiments, the wind turbine airfoil parameter determining device 900 further includes:

[0194] The optimization module is used to determine the target thickness parameters of multiple airfoils on the wind turbine blades based on the optimization algorithm. The distribution of the target thickness parameters of the multiple airfoils is smooth, and the multiple airfoils include the target airfoil.

[0195] The thickness parameter acquisition module 910 is specifically used to determine the target thickness parameter of the target wind turbine airfoil from among multiple target thickness parameters of wind turbine airfoils.

[0196] Further details of the wind turbine airfoil parameter determination device according to embodiments of this application, in conjunction with the above. Figures 4 to 6 The method for determining the airfoil parameters of the wind turbine described in the example is similar and can achieve the corresponding technical effect. For the sake of brevity, it will not be elaborated here.

[0197] The wind turbine airfoil parameter determination device of this application embodiment can obtain the wind turbine airfoil parameters at a target thickness based on sample data of wind turbine airfoil parameters for multiple reference thicknesses in a preset airfoil parameter sample library. Therefore, compared to the prior art scheme that verifies many candidate wind turbine airfoil parameters one by one to select the target wind turbine airfoil parameter, the efficiency of wind turbine airfoil parameter determination is improved.

[0198] This application also provides a blade, which includes multiple wind turbine airfoils in the axial direction.

[0199] Among the multiple wind turbine airfoils, the airfoil parameters of at least one wind turbine airfoil are determined according to the wind turbine airfoil parameter determination method provided in the embodiments of this application.

[0200] In some embodiments, at least one wind turbine airfoil includes a blunt trailing edge airfoil. The relative thickness of the blunt trailing edge airfoil can be any value from 0% to 100%. In one example, for practicality, structural strength, and other considerations, the relative thickness of the blunt trailing edge airfoil ranges from 30% to 90%.

[0201] This application also provides a wind turbine generator set, which may include the blades provided in this application embodiment.

[0202] In some embodiments of this application, the wind turbine generator set can be any one of a direct-drive wind turbine generator set, a doubly-fed wind turbine generator set, a semi-direct-drive wind turbine generator set, etc.

[0203] Figure 10 A schematic diagram of the hardware structure of the device for determining the airfoil parameters of a wind turbine provided in an embodiment of the present invention is shown.

[0204] The device for determining the airfoil parameters of a wind turbine may include a processor 1001 and a memory 1002 storing computer program instructions.

[0205] Specifically, the processor 1001 may include a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of the present invention.

[0206] Memory 1002 may include mass storage for data or instructions. For example, and not limitingly, memory 1002 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. In some instances, memory 1002 may include removable or non-removable (or fixed) media, or memory 1002 may be a non-volatile solid-state memory. In some embodiments, memory 1002 may be internal or external to the device for determining wind turbine airfoil parameters.

[0207] In some instances, memory 1002 may be read-only memory (ROM). In one instance, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically rewritable ROM (EAROM), or flash memory, or a combination of two or more of these.

[0208] Memory 1002 may include read-only memory (ROM), random access memory (RAM), disk storage media device, optical storage media device, flash memory device, electrical, optical, or other physical / tangible memory storage device. Therefore, generally, memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to one aspect of this disclosure.

[0209] The processor 1001 reads and executes computer program instructions stored in the memory 1002 to achieve... Figures 4-6 The method in the illustrated embodiment achieves... Figures 4-6 The technical effects achieved by executing the methods / steps shown in the examples are not elaborated here for the sake of brevity.

[0210] In one example, the device for determining the wind turbine airfoil parameters may further include a communication interface 1003 and a bus 1010. For example, Figure 10 As shown, the processor 1001, memory 1002, and communication interface 1003 are connected through bus 1010 and complete communication with each other.

[0211] The communication interface 1003 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of the present invention.

[0212] Bus 1010 includes hardware, software, or both, that couples components of an online data traffic metering device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 1010 may include one or more buses. While specific buses are described and illustrated in embodiments of the invention, the invention contemplates any suitable bus or interconnect.

[0213] The device for determining the airfoil parameters of the wind turbine can execute the method for determining the airfoil parameters in the embodiments of the present invention, thereby achieving a combination of Figures 4 to 8 The method and apparatus for determining the airfoil parameters of a wind turbine are described.

[0214] Furthermore, in conjunction with the wind turbine airfoil parameter determination method in the above embodiments, this invention can be implemented using a computer storage medium. This computer storage medium stores computer program instructions; when these computer program instructions are executed by a processor, they implement any of the wind turbine airfoil parameter determination methods in the above embodiments.

[0215] It should be clarified that the present invention is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of the present invention.

[0216] The functional blocks shown in the above structural diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this invention are programs or code segments used to perform the required tasks. The programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0217] It should also be noted that the exemplary embodiments mentioned in this invention describe methods or systems based on a series of steps or apparatus. However, this invention is not limited to the order of the steps described above; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0218] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatuses, devices, and computer program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowchart illustrations, and combinations of blocks in the block diagrams and / or flowchart illustrations, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0219] The above are merely specific embodiments of the present invention. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the protection scope of the present invention.

Claims

1. A method for determining airfoil parameters of a wind turbine, characterized in that, The method includes: Obtain the target thickness parameter of the target wind turbine airfoil, wherein the target thickness parameter is at least one of the relative thickness of the target wind turbine airfoil and the trailing edge thickness of the target wind turbine airfoil; Search the preset airfoil parameter sample library for target airfoil sample data that matches the target wind turbine airfoil; Based on the target airfoil sample data, determine the airfoil parameters of the target wind turbine airfoil under the target thickness parameters. The target airfoil sample data includes sample data of wind turbine airfoil parameters corresponding to multiple reference thicknesses, and the wind turbine airfoil parameters include aerodynamic data and geometric shape parameter data of the wind turbine airfoil. The step of determining the airfoil parameters of the target wind turbine airfoil under the target thickness parameter based on the target airfoil sample data specifically includes: A preset interpolation algorithm is used to interpolate the sample data of the airfoil parameters of the multiple reference thicknesses to obtain the airfoil parameters of the airfoil at the target thickness.

2. The method according to claim 1, characterized in that, The preset interpolation algorithm is either a spline interpolation algorithm or a linear interpolation algorithm.

3. The method according to claim 1 or 2, characterized in that, The step of interpolating the sample data of the airfoil parameters for each of the multiple reference thicknesses to obtain the airfoil parameters of the target airfoil at the target thickness includes: Using sample data of the airfoil parameters of the multiple reference thicknesses, an expression for the airfoil parameters of the target airfoil is generated; Based on the expression, an interpolation function expression for the airfoil parameters of the target airfoil is established, wherein the interpolation function represents the relationship between the airfoil parameters and the reference thickness. The airfoil parameters corresponding to the target thickness are determined using the interpolation function expression.

4. The method according to claim 1, characterized in that, The method further includes: Obtain the inflow angle and twist angle of the target wind turbine airfoil; The target design angle of attack of the target wind turbine airfoil is obtained by calculating the difference between the inflow angle and the twist angle.

5. The method according to claim 1, characterized in that, The target wind turbine airfoil is a pointed trailing edge airfoil; Before obtaining the target thickness parameters of the target wind turbine airfoil, the method further includes: Obtain sample data of the airfoil parameters corresponding to multiple relative thickness values; The preset airfoil parameter sample library is generated based on sample data of multiple wind turbine airfoil parameters.

6. The method according to claim 1, characterized in that, The airfoil of the wind turbine is a blunt-edge airfoil. Before obtaining the target thickness parameters of the target wind turbine airfoil, the method further includes: Acquire multiple airfoil sample data corresponding one-to-one with multiple relative thickness values, wherein each airfoil sample data includes sample data of wind turbine airfoil parameters corresponding to multiple trailing edge thicknesses under the corresponding relative thickness value; Based on the multiple airfoil sample data, the preset airfoil parameter sample library is generated.

7. The method according to claim 1, characterized in that, For each airfoil sample data, the trailing edge thicknesses under the corresponding relative thickness values ​​range from 0 to the corresponding relative thickness value.

8. The method according to claim 1, characterized in that, Before obtaining the target thickness parameters of the target wind turbine airfoil, the method further includes: Based on an optimization algorithm, target thickness parameters of multiple airfoils on the wind turbine blade are determined, wherein the distribution of the target thickness parameters of the multiple airfoils has smoothness, and the multiple airfoils include the target airfoil; The acquisition of the target thickness parameters of the target wind turbine airfoil specifically includes: Among the target thickness parameters of the multiple wind turbine airfoils, the target thickness parameter of the target wind turbine airfoil is determined.

9. A device for determining airfoil parameters of a wind turbine, characterized in that, The device includes: The thickness parameter acquisition module is used to acquire the target thickness parameter of the target wind turbine airfoil, wherein the target thickness parameter is at least one of the relative thickness of the target wind turbine airfoil and the trailing edge thickness of the target wind turbine airfoil. The sample data determination module is used to search for target airfoil sample data that matches the target wind turbine airfoil from a preset airfoil parameter sample library; The airfoil parameter determination module is used to determine the airfoil parameters of the target wind turbine airfoil under the target thickness parameter based on the target airfoil sample data. The target airfoil sample data includes sample data of wind turbine airfoil parameters corresponding to multiple reference thicknesses, and the wind turbine airfoil parameters include aerodynamic data and geometric shape parameter data of the wind turbine airfoil. The airfoil parameter determination module is specifically used for: A preset interpolation algorithm is used to interpolate the sample data of the airfoil parameters of the multiple reference thicknesses to obtain the airfoil parameters of the airfoil at the target thickness.

10. A blade, characterized in that, The blade comprises multiple wind turbine airfoils along its own axial direction. Wherein, the airfoil parameters of at least one of the plurality of airfoil types are determined according to the airfoil parameter determination method as described in any one of claims 1-8.

11. The blade according to claim 10, characterized in that, The at least one wind turbine airfoil includes a blunt-edge airfoil. The relative thickness of the blunt trailing edge airfoil ranges from 30% to 90%.

12. A wind turbine generator set, characterized in that, The wind turbine generator set includes the blades as described in claim 10 or 11.

13. A device for determining airfoil parameters of a wind turbine, characterized in that, The device includes: a processor and a memory storing computer program instructions; The processor reads and executes the computer program instructions to implement the method for determining wind turbine airfoil parameters as described in any one of claims 1-8.

14. A computer storage medium, characterized in that, The computer storage medium stores computer program instructions, which, when executed by a processor, implement the method for determining wind turbine airfoil parameters as described in any one of claims 1-8.

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