Heat dissipation simulation method, device and equipment of wind generating set and storage medium

Abstract

The embodiment of the invention provides a heat dissipation simulation method, device and equipment of a wind generating set and a storage medium, and relates to the technical field of wind power. The method comprises the following steps: acquiring a structure simplification model and a fluid simplification model of the wind generating set; grid division is carried out on boundary layers of the structure simplification model and the fluid simplification model, and grid density is adjusted according to target parameters; based on to-be-simulated wind power plant information, heat dissipation related parameters of all structural grids in the structure simplification model are solved, and heat dissipation related parameters of all fluid grids in the fluid simplification model are solved; outputting a heat dissipation simulation report according to the heat dissipation related parameters of the structural grids and the heat dissipation related parameters of the fluid grids; the heat dissipation simulation report is used for describing the heat dissipation condition of the target part when the wind generating set operates under the to-be-simulated wind power plant information. The method is used for achieving the effects of improving the heat dissipation simulation precision and efficiency of the wind generating set and the like.

Description

Technical Field

[0001] The present application relates to the field of wind power technology, and in particular to a heat dissipation simulation method, device, equipment and storage medium for a wind turbine generator set. Background Art

[0002] As wind turbine technology advances and the capacity of individual units continues to increase, the heat generated by the equipment within the nacelle also increases. If heat dissipation is poor, the equipment will overheat, affecting its performance and lifespan, and even causing failures. Therefore, nacelle heat dissipation technology has become a critical step in wind turbine system design.

[0003] In the prior art, a thermal analysis model for performing heat transfer analysis on a wind turbine generator set is usually established based on a modeling platform, and then a heat transfer analysis is performed on the wind turbine generator set to determine the heat dissipation condition.

[0004] However, the above-mentioned model based on numerical analysis has certain shortcomings in accuracy compared with general fluid simulation methods. In addition, it is necessary to re-establish the heat transfer path, heat transfer direction and heat transfer method for different wind turbine models, and the simulation efficiency needs to be further improved. Summary of the Invention

[0005] The embodiments of the present application provide a method, apparatus, device and storage medium for simulating heat dissipation of a wind turbine generator set, so as to achieve the effects of improving the accuracy and efficiency of heat dissipation simulation of the wind turbine generator set.

[0006] In a first aspect, an embodiment of the present application provides a heat dissipation simulation method for a wind turbine generator set, comprising:

[0007] Obtain a simplified structural model and a simplified fluid model of a wind turbine generator set;

[0008] Meshing the boundary layers of the simplified structural model and the simplified fluid model respectively, and adjusting the mesh density according to target parameters;

[0009] Based on the wind farm information to be simulated, solving the heat dissipation related parameters of each structural grid in the simplified structural model, and solving the heat dissipation related parameters of each fluid grid in the simplified fluid model; wherein the wind farm information to be simulated is information related to the heat dissipation of the wind turbine generator set;

[0010] A heat dissipation simulation report is output based on the heat dissipation related parameters of each structural grid and the heat dissipation related parameters of each fluid grid; wherein the heat dissipation simulation report is used to describe the heat dissipation conditions at the target location when the wind turbine generator set operates under the wind farm information to be simulated.

[0011] In a possible implementation, obtaining a simplified structural model and a simplified fluid model of the wind turbine generator set includes:

[0012] Calling a geometry processing tool to process the initial structural geometry model and the initial fluid geometry model of the wind turbine generator set respectively to obtain the simplified structure model and the simplified fluid model; wherein the initial structural geometry model is a complete three-dimensional digital model of the wind turbine generator set, and the initial fluid geometry model is a three-dimensional digital model of the complete flow field composed of heat flowing in the wind turbine generator set.

[0013] In a possible implementation, meshing the boundary layers of the simplified structural model and the simplified fluid model respectively, and adjusting mesh density according to target parameters, includes:

[0014] Invoking a meshing tool to mesh the simplified structural model, and adjusting the density of the structural mesh of the simplified structural model according to a preset temperature gradient;

[0015] The boundary layer of the simplified fluid model is meshed, and the density of the fluid mesh of the simplified fluid model is adjusted according to the turbulent viscosity or the preset temperature gradient.

[0016] In a possible implementation, meshing the boundary layer of the simplified fluid model includes:

[0017] Obtaining boundary layer parameters of the simplified fluid model;

[0018] The boundary layer of the simplified fluid model is meshed according to the boundary layer parameters and the preset mesh size control file.

[0019] In a possible implementation, solving the heat dissipation-related parameters of each structural grid in the simplified structural model and solving the heat dissipation-related parameters of each fluid grid in the simplified fluid model based on the wind farm information to be simulated include:

[0020] Calling a parameter solver and setting parameter solving conditions of the parameter solver;

[0021] The parameter solver is controlled to use the parameter solving conditions to solve the heat dissipation related parameters of each structural grid in the simplified structural model and the heat dissipation related parameters of each fluid grid in the simplified fluid model based on the wind farm information to be simulated.

[0022] In a possible implementation, outputting a heat dissipation simulation report based on the heat dissipation related parameters of each structural grid and the heat dissipation related parameters of each fluid grid includes:

[0023] Identify the structural grid and the fluid grid according to component names corresponding to the structural grid and the fluid grid, and establish a fluid-solid coupling interface between the structural grid and the fluid grid;

[0024] A heat dissipation simulation report is output based on the heat dissipation related parameters of each structural grid and the heat dissipation related parameters of each fluid grid, as well as the fluid-solid coupling interface between the structural grid and the fluid grid.

[0025] In one possible implementation, outputting a heat dissipation simulation report based on the heat dissipation related parameters of each structural grid and each fluid grid, and the fluid-solid coupling interface between the structural grid and the fluid grid, includes:

[0026] determining a target structural grid at a target location in the wind turbine generator set;

[0027] determining a target fluid grid corresponding to the target structural grid according to a fluid-solid coupling surface between the structural grid and the fluid grid;

[0028] A heat dissipation simulation report is generated and output according to the heat dissipation related parameters of the target structure grid and the heat dissipation related parameters of the target fluid grid.

[0029] In a second aspect, an embodiment of the present application provides a heat dissipation simulation device for a wind turbine generator set, comprising:

[0030] A preprocessing unit, used for obtaining a simplified structural model and a simplified fluid model of a wind turbine generator set;

[0031] A meshing unit, configured to mesh the boundary layers of the simplified structural model and the simplified fluid model, respectively, and adjust mesh density according to target parameters;

[0032] a parameter solving unit, configured to solve heat dissipation-related parameters of each structural grid in the simplified structural model and heat dissipation-related parameters of each fluid grid in the simplified fluid model based on wind farm information to be simulated; wherein the wind farm information to be simulated is information related to heat dissipation of the wind turbine generator set;

[0033] The coupled solution unit is used to output a heat dissipation simulation report based on the heat dissipation related parameters of each structural grid and the heat dissipation related parameters of each fluid grid; wherein the heat dissipation simulation report is used to describe the heat dissipation conditions at the target part when the wind turbine generator set operates under the wind farm information to be simulated.

[0034] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a memory, a processor;

[0035] The memory stores computer-executable instructions;

[0036] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementations of the first aspect.

[0037] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the first aspect above and / or various possible implementation methods of the first aspect.

[0038] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above first aspect and / or various possible implementation methods of the first aspect.

[0039] The heat dissipation simulation method, device, equipment and storage medium of the wind turbine provided in the embodiment of the present application, by obtaining a simplified structural model and a simplified fluid model and performing fine grid division, can truly reflect the heat dissipation performance of the wind turbine in the actual operating environment, significantly reduce the computational complexity, save computing resources, and improve the simulation efficiency; further, the embodiment of the present application performs high-density grid division in the boundary layer area, and adjusts the grid density according to target parameters such as temperature gradient or turbulent viscosity physical quantity, which can more accurately capture the heat conduction and fluid flow characteristics of the wind turbine, thereby improving the accuracy of the simulation results; in addition, the embodiment of the present application can also be adjusted and simulated according to the environmental conditions of different wind farms, and has strong adaptability. The method of the embodiment of the present application not only improves the accuracy and efficiency of heat dissipation simulation, but also provides important technical support for the design and optimization of wind turbines. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0041] Figure 1 A schematic flow chart of a heat dissipation simulation method for a wind turbine generator set provided in an embodiment of the present application;

[0042] Figure 2 A schematic diagram of a process framework for implementing a heat dissipation simulation method provided in an embodiment of the present application;

[0043] Figure 3 A schematic diagram of a process framework for another method for implementing heat dissipation simulation provided in an embodiment of the present application;

[0044] Figure 4 A schematic diagram of a process framework for another method for implementing heat dissipation simulation provided in an embodiment of the present application;

[0045] Figure 5 A schematic structural diagram of a heat dissipation simulation device for a wind turbine generator set provided in an embodiment of the present application;

[0046] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0047] The above drawings illustrate specific embodiments of the present application, which will be described in more detail below. These drawings and the textual description are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0048] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0049] Wind power generation, as a renewable energy technology, has experienced rapid growth in recent years. It can provide power for electric vehicles, electric excavators, and other electric equipment. Wind turbines are the core components of wind power systems, and their performance and efficiency directly impact the power generation capacity and economic benefits of the entire wind farm. As the capacity of wind turbines continues to increase, the heat generated by equipment within the nacelle, such as generators, gearboxes, converters, and transformer compartments, also increases. If heat dissipation is poorly managed, excessive equipment temperatures can affect performance and lifespan, and even cause failures. Therefore, nacelle cooling technology has become a critical component in wind power system design.

[0050] In one example, a thermal analysis model for heat transfer analysis of a wind turbine generator set was established based on the modeling platform. This model was then used to analyze the wind turbine generator set's heat transfer to determine its heat dissipation. The established thermal analysis model was a numerical analysis model. While this approach overcomes the long computational time, large data storage requirements, and inability to rapidly assess and predict problems associated with computational fluid dynamics (CFD) when solving and analyzing fluid flow problems, it lacks the accuracy of general-purpose fluid simulation methods and integrated finite element analysis.

[0051] In another example, heat dissipation calculation software is used to predict the cooling performance of an engine cabin. However, its accuracy is limited under complex operating conditions, and the simulation process relies on manual operation, resulting in low simulation efficiency and the potential for error. Both simulation accuracy and efficiency need to be further improved.

[0052] In order to solve the above technical problems, the embodiment of the present application provides a new heat dissipation simulation method for a wind turbine generator set. It is based on the secondary development method of simulation software. On the basis of the original simulation software, modular processing is performed, and the functions of each module are optimized and secondary developed. Through automated scripts, optimization algorithms and dynamic adjustment of calculation parameters, the heat dissipation simulation efficiency and simulation accuracy of the wind turbine generator are improved.

[0053] The following specific embodiments describe in detail the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0054] It should be noted that the execution subject of the heat dissipation simulation method for a wind turbine generator set provided in the embodiments of the present application can be a heat dissipation simulation device for the wind turbine generator set, which can be located on an electronic device such as a computer or server, and the embodiments of the present application do not impose any restrictions. The embodiments of the present application are described in detail using the heat dissipation simulation device for a wind turbine generator set as an example.

[0055] Figure 1 This is a flow chart of a heat dissipation simulation method for a wind turbine generator set provided in an embodiment of the present application. Figure 1 As shown, the heat dissipation simulation method for a wind turbine generator set provided in an embodiment of the present application may include:

[0056] S101. Obtain a simplified structural model and a simplified fluid model of a wind turbine generator set.

[0057] For example, a simplified structural model of a wind turbine generator set is derived by simplifying the initial structural geometry model of the wind turbine generator set. The initial structural geometry model is a complete three-dimensional digital model of the wind turbine generator set, including all structural details such as blades, nacelle, and tower. The purpose of simplification is to remove unnecessary details and reduce model complexity to facilitate subsequent simulation calculations.

[0058] The simplified fluid model is a simplification of the wind turbine's initial fluid geometry model. This initial fluid geometry model is a three-dimensional numerical model that describes the complete flow field of heat within the wind turbine, including the air flow around the wind turbine and the heat flow within it. Similar to the simplification of the structural model, the simplification of the fluid model is also intended to reduce computational complexity.

[0059] The simplified structural model and simplified fluid model are the basis for subsequent simulation analysis. Appropriate simplified structural and fluid models must ensure that they can effectively simulate the heat dissipation behavior of the wind turbine generator system during calculations while also effectively reducing the amount of computation required. These simplified structural and fluid models can be obtained directly through model construction or through simplified processing, and are not limited in this embodiment.

[0060] Optionally, in a possible embodiment, obtaining a simplified structural model and a simplified fluid model of a wind turbine generator set may include:

[0061] The geometry processing tool is called to process the initial structural geometry model and the initial fluid geometry model of the wind turbine generator set respectively to obtain a simplified structure model and a simplified fluid model; wherein the initial structural geometry model is a complete three-dimensional digital model of the wind turbine generator set, and the initial fluid geometry model is a three-dimensional digital model of the complete flow field composed of heat flowing in the wind turbine generator set.

[0062] For example, based on the pre-built initial structural geometry model and initial fluid geometry model of the wind turbine generator set, the initial structural geometry model and initial fluid geometry model of the wind turbine generator set can be repaired by calling a pre-developed geometry processing tool to obtain a simplified structural model and a simplified fluid model.

[0063] Among them, the geometry processing tool can be a computer-aided design software or a special geometry processing software, which can operate and simplify complex three-dimensional geometric models. In the process of processing the initial structural geometry model, the geometry processing tool can be used to remove unnecessary details in the model, or remove some tiny features, or merge similar structures, or use simpler geometric shapes to replace complex parts, etc., so as to reduce the complexity of the structural model for subsequent simulation calculations. In the process of processing the initial fluid geometry model, the geometry processing tool can be used to simplify the boundaries of the fluid domain, or remove details that do not affect the overall flow characteristics, or replace complex flow areas with appropriate boundary conditions, etc., so as to reduce the complexity of the fluid model for subsequent simulation calculations. The embodiment of the present application does not limit how the geometry processing tool simplifies the model.

[0064] Through model simplification, the resulting simplified structural and fluid models of the wind turbine retain the necessary geometric and flow characteristics to ensure accurate reflection of the wind turbine's heat dissipation performance during simulation, while also significantly reducing computational complexity and improving simulation efficiency. This effectively prepares the geometric model for heat dissipation simulation, making subsequent numerical simulations more efficient and accurate.

[0065] S102 , meshing the boundary layers of the simplified structure model and the simplified fluid model respectively, and adjusting the mesh density according to target parameters.

[0066] For example, meshing is a key step in thermal simulation, discretizing the continuous physical space into finite cells to facilitate numerical solutions. When meshing, the mesh density typically needs to be adjusted based on simulation objectives (such as accuracy requirements and computing resources). A higher mesh density generally results in higher accuracy, but also increases computational effort and time, necessitating a trade-off between accuracy and efficiency.

[0067] Optionally, in a possible embodiment, meshing the boundary layers of the simplified structure model and the simplified fluid model respectively, and adjusting the mesh density according to target parameters may include:

[0068] S1. Calling a meshing tool to mesh the simplified structural model, and adjusting the density of the structural mesh of the simplified structural model according to a preset temperature gradient;

[0069] S2. Meshing the boundary layer of the simplified fluid model, and adjusting the density of the fluid mesh of the simplified fluid model according to the turbulent viscosity or the preset temperature gradient.

[0070] For example, a specialized meshing tool can be used to mesh and adjust the density of the boundary layers of the simplified structural model and the simplified fluid model. The meshing tool can be a module integrated into computational fluid dynamics or finite element analysis software, and the present embodiment is not limited thereto. These tools can discretize continuous geometric models into finite mesh elements.

[0071] For a simplified structural model, a meshing tool can be used to perform preliminary meshing on the simplified structural model, dividing the model into multiple small mesh units, which can be in the shape of triangles, quadrilaterals, tetrahedrons or hexahedrons, depending on the complexity of the software and the model, and is not limited in the embodiments of the present application. Then, the mesh density of the simplified structural model is adjusted according to the preset temperature gradient. Among them, in the simplified structural model, the areas with larger temperature gradients are usually areas where heat conduction is more active, and higher simulation accuracy is required. Therefore, the mesh density needs to be increased in these areas to capture the details of temperature changes. Therefore, the temperature distribution in the simplified structural model can be analyzed, and areas with larger temperature gradients can be identified, and the mesh density can be increased in these areas to improve the simulation accuracy.

[0072] For simplified fluid models, according to boundary layer theory, when a fluid flows over a boundary, the fluid's physical quantities experience a significant gradient near the boundary. Beyond the boundary layer thickness, the gradient is less pronounced, so controlling the boundary layer mesh is sufficient. You can first use the meshing tool to mesh the boundary layer of the simplified fluid model to ensure accurate simulation of the flow characteristics within the boundary layer.

[0073] Optionally, in a possible embodiment, step S2, meshing the boundary layer of the simplified fluid model, includes:

[0074] S21, obtaining boundary layer parameters of the simplified fluid model;

[0075] S22. Meshing the boundary layer of the simplified fluid model according to the boundary layer parameters and the preset mesh size control file.

[0076] For example, the boundary layer is the area near the solid surface in the fluid flow, in which the fluid velocity gradually transitions from zero (at the solid surface) to the free flow velocity, and the flow characteristics within the boundary layer have an important influence on the overall fluid behavior. Boundary layer parameters usually include boundary layer thickness, first layer grid height, etc., which can be obtained through theoretical calculations (such as y+ value calculations, etc.), empirical formulas or preliminary numerical simulations. Understanding the boundary layer parameters helps to determine the areas within the boundary layer that require higher resolution for accurate meshing. The preset grid size control file is a pre-set file containing rules and parameter settings for meshing, including information such as the size of the grid cell, growth rate, maximum and minimum cell size, etc., and is pre-defined based on simulation objectives and computing resources.

[0077] In an embodiment of the present application, the boundary layer of the simplified fluid model can be meshed based on the obtained boundary layer parameters and the preset grid size control file. For example, in the boundary layer area, a higher density grid is usually required to capture changes in velocity and temperature gradients. Therefore, smaller grid cells can be used in areas close to the solid surface, and the size of the grid cells can be gradually increased to adapt to changes in fluid flow. Based on the boundary layer parameters and the preset grid size control file, the size and distribution of the grid cells can be adjusted to ensure sufficient resolution in key areas, thereby improving the accuracy of the simulation results.

[0078] Furthermore, the density of the fluid mesh of the simplified fluid model can be adjusted according to the turbulent viscosity or the preset temperature gradient. Turbulent viscosity is an important physical quantity that describes the characteristics of turbulent flow. In areas where the turbulent viscosity varies greatly, the flow characteristics are complex, and a higher mesh density is required to capture these changes. Similarly, in the simplified fluid model, areas with large temperature gradients also require a higher mesh density. Further adjustment of the density of the fluid mesh based on the distribution of turbulent viscosity or preset temperature gradients can ensure sufficient resolution in key areas to accurately simulate fluid behavior and improve subsequent simulation accuracy.

[0079] S103. Based on the wind farm information to be simulated, solving the heat dissipation related parameters of each structural grid in the simplified structural model, and solving the heat dissipation related parameters of each fluid grid in the simplified fluid model; wherein the wind farm information to be simulated is information related to the heat dissipation of the wind turbine generator set.

[0080] For example, after completing the grid division, numerical solution is performed based on the wind farm information to be simulated (including equipment operating parameters and environmental conditions such as ambient temperature, wind speed, wind direction, etc.), and the heat dissipation related parameters of each structural grid in the structural simplification model (such as structural deformation, stress, strain, etc.) and the heat dissipation related parameters of each fluid grid in the fluid simplification model (such as fluid temperature, pressure, velocity, turbulence characteristics, etc.) can be obtained. The parameter solution is based on the specific conditions of the wind farm to ensure that the simulation results can reflect the heat dissipation conditions under the actual operating environment.

[0081] Optionally, in a possible embodiment, based on the wind farm information to be simulated, solving the heat dissipation related parameters of each structural grid in the simplified structural model and solving the heat dissipation related parameters of each fluid grid in the simplified fluid model may include:

[0082] S10, calling a parameter solver and setting parameter solving conditions of the parameter solver;

[0083] S20. The control parameter solver uses the parameter solving conditions to solve the heat dissipation related parameters of each structural grid in the simplified structural model and the heat dissipation related parameters of each fluid grid in the simplified fluid model based on the wind farm information to be simulated.

[0084] Exemplarily, a parameter solver is a software tool or module for numerical calculations that can solve various parameters in a model. In the heat dissipation simulation of an embodiment of the present application, the parameter solver is used to calculate corresponding heat dissipation-related parameters based on the wind farm information to be simulated using parameter solution conditions. The parameter solution conditions may include initial conditions (such as initial temperature distribution, etc.), physical model parameters (such as thermal conductivity, specific heat capacity, density, etc. of the material), calculation accuracy and convergence conditions, etc., and are not limited in the embodiment of the present application.

[0085] Using a parameter solver, based on the set parameter solving conditions, each structural mesh in the simplified structural model is calculated under the wind farm information to be simulated. This allows the heat dissipation parameters of each structural mesh to be obtained, which can be used to evaluate the heat dissipation performance of different parts of the wind turbine during operation. Similarly, using a parameter solver, each fluid mesh in the simplified fluid model is calculated under the wind farm information to be simulated. This allows the heat dissipation parameters of each fluid mesh to be obtained, helping to understand the impact of fluid flow on heat dissipation.

[0086] Accurate numerical solutions can provide reliable data support for the design and operation of wind turbines, ensuring their effective heat dissipation and stable operation under different wind farm conditions.

[0087] S104. Output a heat dissipation simulation report based on the heat dissipation related parameters of each structural grid and the heat dissipation related parameters of each fluid grid; wherein the heat dissipation simulation report is used to describe the heat dissipation conditions at the target location when the wind turbine generator set operates under the wind farm information to be simulated.

[0088] For example, a heat dissipation simulation report can be generated based on the heat dissipation parameters of the structural and fluid meshes obtained above. This report details the heat dissipation performance of the wind turbine under specific wind farm conditions, specifically the heat dissipation at target locations. This report can be used to evaluate the rationality of the wind turbine's thermal management design and provide data support for further design optimization.

[0089] Optionally, in a possible embodiment, outputting a heat dissipation simulation report according to the heat dissipation related parameters of each structural grid and the heat dissipation related parameters of each fluid grid may include:

[0090] S100, identifying the structural grid and the fluid grid according to their corresponding component names, and establishing a fluid-solid coupling interface between the structural grid and the fluid grid;

[0091] S200 , outputting a heat dissipation simulation report based on the heat dissipation related parameters of each structural grid and each fluid grid, as well as the fluid-solid coupling interface between the structural grid and the fluid grid.

[0092] For example, the structural grid and fluid grid represent the physical structure of the wind turbine and the flow area of ​​the surrounding fluid, respectively. After calculating the heat dissipation-related parameters of each structural grid and each fluid grid, the correspondence between the structural model and the fluid model can be identified based on the component names corresponding to the grids (such as blades, nacelles, towers, etc.). This allows the fluid-structure interaction (FSI) interface between the structural grid and the fluid grid to be established based on preset coupling conditions. The fluid-structure interaction interface is the interface between the structural grid and the fluid grid. At this interface, heat and momentum can be transferred between the solid and the fluid. By establishing the fluid-structure interaction interface, the heat exchange and interaction between the fluid and the structure can be simulated.

[0093] Optionally, in a possible embodiment, step S200, outputting a heat dissipation simulation report based on heat dissipation related parameters of each structural grid and each fluid grid, and a fluid-solid coupling interface between the structural grid and the fluid grid, may include:

[0094] S201, determining a target structural grid at a target location in a wind turbine generator set;

[0095] S202, determining a target fluid grid corresponding to the target structural grid according to the fluid-solid coupling surface between the structural grid and the fluid grid;

[0096] S203 , generating and outputting a heat dissipation simulation report according to the heat dissipation related parameters of the target structure grid and the heat dissipation related parameters of the target fluid grid.

[0097] For example, the target parts in the wind turbine generator set are key parts that need to be analyzed in detail, mainly including heat-generating parts and parts that are prone to overheating during operation. For example, they can include key components such as generators, gearboxes, and blade roots, and the embodiments of this application do not impose any restrictions. When determining the heat dissipation simulation report of the target part, you can first identify the structural grid corresponding to the target part in the simplified structural model of the wind turbine generator set and determine it as the target structural grid. Then, based on the fluid-solid coupling interface between the structural grid and the fluid grid, determine the target fluid grid corresponding to the target structural grid. Then, perform data integration processing on the heat dissipation related parameters of the target structural grid and the heat dissipation related parameters of the target fluid grid to generate a heat dissipation simulation report for the target part.

[0098] Optionally, the thermal simulation report can detail the target area's temperature distribution, heat flow path, and the fluid's impact on heat dissipation. The report uses charts, images, and text to clearly present the analysis results. Based on the simulation results, the thermal design of the target area can be evaluated to determine if it meets the requirements. If insufficient thermal performance is found, the report can also provide specific design improvement recommendations to optimize thermal management of the target area.

[0099] By conducting in-depth heat dissipation analysis on key parts of wind turbines and generating heat dissipation simulation reports that can provide important reference information for the design and operation of wind turbines, it helps engineers identify potential heat dissipation problems and provides an important reference basis for design optimization and performance improvement.

[0100] The heat dissipation simulation method for a wind turbine provided in the embodiment of the present application, by obtaining a simplified structural model and a simplified fluid model and performing fine grid division, can truly reflect the heat dissipation performance of the wind turbine in the actual operating environment, significantly reducing the computational complexity, saving computing resources, and improving the simulation efficiency; further, the embodiment of the present application performs high-density grid division in the boundary layer region, and also adjusts the grid density according to target parameters such as temperature gradient or turbulent viscosity physical quantities, which can more accurately capture the heat conduction and fluid flow characteristics of the wind turbine, thereby improving the accuracy of the simulation results; in addition, the embodiment of the present application can also be adjusted and simulated according to the environmental conditions of different wind farms, and has strong adaptability. The method of the embodiment of the present application not only improves the accuracy and efficiency of heat dissipation simulation, but also provides important technical support for the design and optimization of wind turbines.

[0101] For example, Figure 2 This is a schematic diagram of a process framework for implementing a heat dissipation simulation method provided in an embodiment of the present application. Figure 2 As shown, to implement the heat dissipation simulation method of the embodiment of the present application, a structure solving module and a fluid solving module can be constructed first, which are used to calculate heat dissipation related parameters respectively.

[0102] Among them, the structural solution module is used to perform the following steps in sequence: first, call the geometry processing tool to perform model preprocessing on the structural geometry model, automatically clean and repair the geometry model to obtain a simplified structural model; then call the adaptive meshing tool to perform meshing, and adjust the mesh density according to the initial temperature gradient; finally, with the goal of improving calculation efficiency and convergence, optimize the parameter solution conditions, and call the solver to solve the structural parameters, so as to obtain the heat dissipation related parameters of each structural mesh.

[0103] The fluid solution module is used to perform the following operations simultaneously: first, the geometry processing tool is called to pre-process the fluid geometry model to obtain a simplified fluid model. In addition, based on the more complex characteristics of the cabin flow field, the fluid boundary creation group is named, and the naming rule can be: boundary type-component name; then the adaptive meshing tool is called to perform meshing by calling the preset mesh size control file, and boundary layer mesh processing is performed at the same time. By creating a boundary layer parameter calculation tool, the boundary layer parameters such as the first mesh height and boundary layer thickness required for the boundary layer are determined, and the mesh density is adjusted in combination with physical quantities such as turbulent viscosity; finally, with the goal of improving calculation efficiency and convergence, the parameter solution conditions are optimized, and the solver is called to solve the fluid parameters to obtain the heat dissipation related parameters of each fluid mesh.

[0104] In addition, a coupling solution module needs to be built. Specifically, the coupling solution module can identify and assign corresponding parameters to the boundary through scripts, and establish a coupling surface to realize data transfer between the two.

[0105] Furthermore, it is necessary to define the connections between the modules and connect them through scripts to run the complete simulation process. In addition, a post-processing analysis module should be built to automatically extract key data and generate simulation reports using Python scripts. Based on this, the turbulent viscosity physical quantity can also be extracted for adjusting the boundary layer mesh.

[0106] The solution provided in the embodiment of the present application, on the one hand, improves the simulation accuracy through adaptive mesh division, optimized solver parameters and precise control of the boundary layer; on the other hand, the modules are connected through script programs, which ensures data transmission and process automation, thereby improving simulation efficiency; and is helpful for the design and optimization of wind turbines.

[0107] For example, Figure 3 This is a schematic diagram of a process framework for another method of implementing a heat dissipation simulation according to an embodiment of the present application. Figure 2 Based on the embodiment shown, the dynamic adjustment of the grid is not limited to the boundary layer grid processing, and can also be adjusted by other parameters such as temperature, wind speed, material sensitive areas, etc. Figure 3 As shown in the figure, taking the adjustment of mesh by temperature gradient as an example, a mesh size and temperature gradient calculation tool can be created to adjust the mesh in temperature-sensitive areas through the adaptive meshing tool.

[0108] For example, Figure 4 This is a schematic diagram of a process framework for implementing another heat dissipation simulation method provided in an embodiment of the present application. Figure 4 As shown, in Figure 2Based on the illustrated embodiment, in the secondary development program, parameterized settings can also be created for all boundaries and points of interest. In this way, subsequent simulations only need to modify geometric parameters or simulation parameters, which provides convenience for subsequent simulations. Of course, parameterized settings are not limited to geometric parameterization, and the embodiments of this application do not impose such restrictions.

[0109] Figure 5 This is a schematic diagram of the structure of a heat dissipation simulation device for a wind turbine generator set provided in an embodiment of the present application. Figure 5 As shown, the heat dissipation simulation device 50 for a wind turbine generator set provided in this embodiment includes a pre-processing unit 501 , a grid division unit 502 , a parameter solving unit 503 and a coupling solving unit 504 .

[0110] The pre-processing unit 501 is used to obtain a simplified structural model and a simplified fluid model of the wind turbine generator set;

[0111] A meshing unit 502 is used to mesh the boundary layers of the simplified structure model and the simplified fluid model, and adjust the mesh density according to target parameters;

[0112] a parameter solving unit 503 for solving heat dissipation-related parameters of each structural grid in the simplified structural model and heat dissipation-related parameters of each fluid grid in the simplified fluid model based on the wind farm information to be simulated, wherein the wind farm information to be simulated is information related to heat dissipation of the wind turbine generator set;

[0113] The coupled solution unit 504 is used to output a heat dissipation simulation report based on the heat dissipation related parameters of each structural grid and the heat dissipation related parameters of each fluid grid; wherein the heat dissipation simulation report is used to describe the heat dissipation conditions at the target location when the wind turbine is operating under the wind farm information to be simulated.

[0114] The device provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effects are similar and will not be described in detail in this embodiment.

[0115] In a possible implementation, the preprocessing unit 501 is specifically configured to:

[0116] The geometry processing tool is called to process the initial structural geometry model and the initial fluid geometry model of the wind turbine generator set respectively to obtain a simplified structure model and a simplified fluid model; wherein the initial structural geometry model is a complete three-dimensional digital model of the wind turbine generator set, and the initial fluid geometry model is a three-dimensional digital model of the complete flow field composed of heat flowing in the wind turbine generator set.

[0117] In a possible implementation, the grid division unit 502 is specifically configured to:

[0118] Calling a meshing tool to mesh the simplified structural model, and adjusting the density of the structural mesh of the simplified structural model according to a preset temperature gradient;

[0119] The boundary layer of the simplified fluid model is meshed, and the density of the fluid mesh of the simplified fluid model is adjusted according to the turbulent viscosity or the preset temperature gradient.

[0120] In a possible implementation, the grid division unit 502 is specifically configured to:

[0121] Obtain boundary layer parameters of simplified fluid model;

[0122] The boundary layer of the simplified fluid model is meshed according to the boundary layer parameters and the preset mesh size control file.

[0123] In a possible implementation, the parameter solving unit 503 is specifically configured to:

[0124] Call the parameter solver and set the parameter solving conditions of the parameter solver;

[0125] The control parameter solver uses parameter solving conditions and solves the heat dissipation related parameters of each structural grid in the simplified structural model and the heat dissipation related parameters of each fluid grid in the simplified fluid model based on the wind farm information to be simulated.

[0126] In a possible implementation, the coupling solution unit 504 is specifically configured to:

[0127] Identify the structural grid and fluid grid according to their corresponding component names, and establish the fluid-structure coupling surface between the structural grid and the fluid grid;

[0128] Output a heat dissipation simulation report based on the heat dissipation related parameters of each structural grid and each fluid grid, as well as the fluid-solid coupling interface between the structural grid and the fluid grid.

[0129] In a possible implementation, the coupling solution unit 504 is specifically configured to:

[0130] determining a target structural grid at a target location in a wind turbine generator set;

[0131] According to the fluid-solid coupling surface between the structural grid and the fluid grid, a target fluid grid corresponding to the target structural grid is determined;

[0132] Generate and output a heat dissipation simulation report based on the heat dissipation related parameters of the target structure grid and the heat dissipation related parameters of the target fluid grid.

[0133] The device provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effects are similar and will not be described in detail in this embodiment.

[0134] It should be noted that it should be understood that the division of the various modules of the above device is merely a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. Moreover, these modules can all be implemented in the form of software called by processing elements; they can also all be implemented in the form of hardware; some modules can also be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware. In addition, they can also be stored in the memory of the above device in the form of program code, and called and executed by a processing element of the above device. The implementation of other modules is similar. In addition, these modules can all or partly be integrated together, or they can be implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each of the above modules can be completed by the hardware integrated logic circuit in the processor element or by instructions in the form of software.

[0135] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 6 As shown, the electronic device 60 provided in this embodiment includes: at least one processor 601 and a memory 602. Optionally, the electronic device 60 further includes a communication component 603. The processor 601, the memory 602 and the communication component 603 are connected via a bus 604.

[0136] During the specific implementation process, at least one processor 601 executes the computer-executable instructions stored in the memory 602, so that the at least one processor 601 performs the above method.

[0137] The specific implementation process of the processor 601 can be found in the above method embodiment. Its implementation principle and technical effects are similar and will not be repeated here in this embodiment.

[0138] In the above embodiments, it should be understood that the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASICs), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the present invention may be directly executed by a hardware processor or by a combination of hardware and software modules within the processor.

[0139] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage.

[0140] A bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. Buses can be categorized as address buses, data buses, and control buses. For ease of illustration, the buses in the drawings of this application are not limited to just one bus or just one type of bus.

[0141] The present application also provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0142] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the above method is implemented.

[0143] The readable storage medium may be implemented by any type of volatile or non-volatile memory device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium may be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0144] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be an integral part of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0145] The division of units is merely a logical functional division; actual implementations may employ alternative divisions, such as combining or integrating multiple units or components into another system, or omitting or disabling certain features. Furthermore, any direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between devices or units, either through an interface, electrical, mechanical, or other means.

[0146] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0147] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0148] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0149] Those skilled in the art will appreciate that all or part of the steps in the above-described method embodiments can be implemented using hardware associated with program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0150] Finally, it should be noted that those skilled in the art will readily identify other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art not disclosed herein. The present invention is not limited to the precise structure described above and illustrated in the accompanying drawings, and various modifications and variations may be made without departing from the scope thereof. The scope of the present invention is limited solely by the appended claims.

Claims

1. A heat dissipation simulation method for a wind turbine generator set, characterized in that: include: Obtain a simplified structural model and a simplified fluid model of a wind turbine generator set; Meshing the boundary layers of the simplified structural model and the simplified fluid model respectively, and adjusting the mesh density according to target parameters; Based on the wind farm information to be simulated, solving the heat dissipation related parameters of each structural grid in the simplified structural model, and solving the heat dissipation related parameters of each fluid grid in the simplified fluid model; wherein the wind farm information to be simulated is information related to the heat dissipation of the wind turbine generator set; A heat dissipation simulation report is output based on the heat dissipation related parameters of each structural grid and the heat dissipation related parameters of each fluid grid; wherein the heat dissipation simulation report is used to describe the heat dissipation conditions at the target location when the wind turbine generator set operates under the wind farm information to be simulated.

2. The method according to claim 1, characterized in that The obtaining of the simplified structural model and the simplified fluid model of the wind turbine generator set includes: Calling a geometry processing tool to process the initial structural geometry model and the initial fluid geometry model of the wind turbine generator set respectively to obtain the simplified structure model and the simplified fluid model; wherein the initial structural geometry model is a complete three-dimensional digital model of the wind turbine generator set, and the initial fluid geometry model is a three-dimensional digital model of the complete flow field composed of heat flowing in the wind turbine generator set.

3. The method according to claim 1, characterized in that The step of meshing the boundary layers of the simplified structural model and the simplified fluid model respectively and adjusting the mesh density according to target parameters includes: Invoking a meshing tool to mesh the simplified structural model, and adjusting the density of the structural mesh of the simplified structural model according to a preset temperature gradient; The boundary layer of the simplified fluid model is meshed, and the density of the fluid mesh of the simplified fluid model is adjusted according to the turbulent viscosity or the preset temperature gradient.

4. The method according to claim 3, characterized in that The gridding of the boundary layer of the simplified fluid model comprises: Obtaining boundary layer parameters of the simplified fluid model; The boundary layer of the simplified fluid model is meshed according to the boundary layer parameters and the preset mesh size control file.

5. The method according to claim 1, wherein The step of solving the heat dissipation related parameters of each structural grid in the simplified structural model and solving the heat dissipation related parameters of each fluid grid in the simplified fluid model based on the wind farm information to be simulated includes: Calling a parameter solver and setting parameter solving conditions of the parameter solver; The parameter solver is controlled to use the parameter solving conditions to solve the heat dissipation related parameters of each structural grid in the simplified structural model and the heat dissipation related parameters of each fluid grid in the simplified fluid model based on the wind farm information to be simulated.

6. The method according to claim 1, wherein Outputting a heat dissipation simulation report based on the heat dissipation related parameters of each structural grid and the heat dissipation related parameters of each fluid grid includes: Identify the structural grid and the fluid grid according to component names corresponding to the structural grid and the fluid grid, and establish a fluid-solid coupling interface between the structural grid and the fluid grid; A heat dissipation simulation report is output based on the heat dissipation related parameters of each structural grid and the heat dissipation related parameters of each fluid grid, as well as the fluid-solid coupling interface between the structural grid and the fluid grid.

7. The method according to claim 6, characterized in that Outputting a heat dissipation simulation report based on the heat dissipation related parameters of each structural grid and the heat dissipation related parameters of each fluid grid, and the fluid-solid coupling interface between the structural grid and the fluid grid, includes: determining a target structural grid at a target location in the wind turbine generator set; determining a target fluid grid corresponding to the target structural grid according to a fluid-solid coupling surface between the structural grid and the fluid grid; A heat dissipation simulation report is generated and output according to the heat dissipation related parameters of the target structure grid and the heat dissipation related parameters of the target fluid grid.

8. A heat dissipation simulation device for a wind turbine generator set, characterized in that: include: A preprocessing unit, used for obtaining a simplified structural model and a simplified fluid model of a wind turbine generator set; A meshing unit, configured to mesh the boundary layers of the simplified structural model and the simplified fluid model, respectively, and adjust mesh density according to target parameters; a parameter solving unit, configured to solve heat dissipation-related parameters of each structural grid in the simplified structural model and heat dissipation-related parameters of each fluid grid in the simplified fluid model based on wind farm information to be simulated; wherein the wind farm information to be simulated is information related to heat dissipation of the wind turbine generator set; The coupled solution unit is used to output a heat dissipation simulation report based on the heat dissipation related parameters of each structural grid and the heat dissipation related parameters of each fluid grid; wherein the heat dissipation simulation report is used to describe the heat dissipation conditions at the target part when the wind turbine generator set operates under the wind farm information to be simulated.

9. An electronic device, characterized in that: include: Memory, processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor performs the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

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