Directional calculation method and system for wind resource assessment

Abstract

The invention relates to the technical field of wind resource assessment, and provides a directional calculation method and system for wind resource assessment, and the method comprises the steps: carrying out the directional calculation of a target region based on geographic data, and obtaining a global directional calculation result; based on the global directional calculation result and the meteorological data, performing comprehensive calculation on the target area to obtain whole-field wind resource data; selecting a plurality of local areas in the target area based on the whole-field wind resource data and the geographic data; for each local region, extracting the wind speed at the boundary of the local region from the global orientation calculation result, fitting to generate a function of the wind speed changing along with the height, compiling the function into a boundary condition, and performing orientation calculation to obtain a local orientation calculation result; and correcting the global orientation calculation result by adopting the local orientation calculation result to obtain a corrected orientation calculation result. And the calculation efficiency is effectively improved while the high precision is kept, so that the wind resource evaluation requirements under the large-range and complex terrain conditions are met.

Description

Technical Field

[0001] The present invention belongs to the technical field of wind resource assessment, and in particular relates to a directional calculation method and system for wind resource assessment. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Wind resource assessment plays a vital role in the micro-site selection of wind farms. However, there are currently some technical issues and shortcomings, which to some extent affect the accurate assessment and simulation results of wind farms.

[0004] First of all, CFD (Computational Fluid Dynamics) simulation, which is often used in wind resource assessment, is a mature but relatively complex technology. CFD directional calculation is crucial for wind resource assessment. Under complex terrain conditions, such as hilly and gully terrain, these terrain features cause drastic changes in air flow, forming turbulent vortices and eddies. The significant impact of terrain features on the turbulent structure of the wind field needs to be considered during the simulation process. However, traditional grids cannot accurately capture the details of turbulence because the scale of the turbulent structure may be much smaller than the scale of the entire simulation area. This makes fine grids the choice for better simulation of turbulent structure and flow.

[0005] Although fine grids can better simulate boundary layer effects, turbulence structures, and terrain obstacle effects, and can improve the accuracy of simulations of turbulence structures and heterogeneity, they still have the following problems: (1) Insufficient adaptability to local, small-scale complex terrain: Current technologies may have insufficient adaptability when facing complex terrain with many hills and gullies, making it difficult to better cope with the impact of local complex terrain conditions on wind farms; (2) The balance between accuracy and computational efficiency: In wind farm simulations under large-scale complex terrain conditions, the use of finer grids will significantly increase computational costs and time. Since wind farm simulations usually occur over a large geographical area, limited computing resources may make it impossible to perform a detailed simulation of the entire area. The use of finer grids can improve the accuracy of the simulation, but it also brings significant computational costs and time delays.

[0006] (3) Terrain topology analysis and obstacle effect processing issues: Terrain topology analysis and obstacle effect processing under complex terrain conditions currently require a large amount of computing resources. Due to the limitation of computing resources, large-scale refined simulation may not be completed within an acceptable time. Summary of the invention

[0007] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a directional calculation method and system for wind resource assessment, which uses the refined simulation results of the local area to correct the overall directional calculation results, while maintaining high accuracy, effectively improving the calculation efficiency to meet the needs of wind resource assessment under large-scale and complex terrain conditions.

[0008] In order to achieve the above object, the present invention adopts the following technical solution: A first aspect of the present invention provides a directional calculation method for wind resource assessment, comprising: Obtain geographic and meteorological data of the target area; Based on geographic data, directional calculation is performed on the target area to obtain global directional calculation results; Based on the global directional calculation results and meteorological data, comprehensive calculation is performed on the target area to obtain the wind resource data of the entire field; Based on the full-field wind resource data and geographic data, several local areas are selected within the target area; For each local area, the wind speed at the boundary of the local area is extracted from the global directional calculation results. After fitting and generating a function of wind speed varying with height, the function is compiled into boundary conditions, and directional calculation is performed to obtain the local directional calculation results. The local orientation calculation result is used to correct the global orientation calculation result to obtain a corrected orientation calculation result.

[0009] Furthermore, the local area satisfies at least one of the following conditions: the wind speed is higher than the local average level, the wind force level corresponding to the wind speed exceeds a set value, the wind energy density exceeds a threshold, and the wind speed is higher than the minimum available wind speed.

[0010] Furthermore, the local area satisfies at least one of the following conditions: the density of contour lines exceeds a set value, the terrain curvature exceeds a set value, and the terrain height change exceeds a set value.

[0011] Furthermore, a grid division strategy is adopted when performing directional calculation in the local area.

[0012] Furthermore, the entire area is divided into a plurality of sectors according to wind directions when performing directional calculations.

[0013] Furthermore, the full-field wind resource data includes wind power density, wind resource map, annual power generation hours, wind shear, inflow angle, extreme wind speed, turbulence intensity, air density, wind power density, Weibull parameters and average wind speed.

[0014] Furthermore, it also includes: based on the corrected directional calculation results and in combination with meteorological data, a comprehensive calculation is performed again on the target area.

[0015] A second aspect of the present invention provides a directional computing system for wind resource assessment, comprising: A data acquisition module is configured to: acquire geographic data and meteorological data of a target area; A global orientation calculation module is configured to: perform orientation calculation on a target area based on geographic data to obtain a global orientation calculation result; A comprehensive calculation module is configured to: perform comprehensive calculations on the target area based on the global directional calculation results and meteorological data to obtain the wind resource data of the entire field; A local screening module is configured to: select a number of local areas within a target area based on the full-field wind resource data and geographic data; The local directional calculation module is configured to: for each local area, extract the wind speed at the boundary of the local area from the global directional calculation result, fit and generate a function of the wind speed varying with the height, compile the function into a boundary condition, perform directional calculation, and obtain the local directional calculation result; The correction module is configured to correct the global orientation calculation result by using the local orientation calculation result to obtain the corrected orientation calculation result.

[0016] A third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in a directional calculation method for wind resource assessment as described above.

[0017] A fourth aspect of the present invention provides a computer device, comprising a computer-readable storage medium, a processor, and a computer program stored on the computer-readable storage medium and executable on the processor, wherein when the processor executes the program, the steps in a directional calculation method for wind resource assessment as described above are implemented.

[0018] Compared with the prior art, the present invention has the following beneficial effects: The present invention uses the local area refined simulation results to correct the overall directional calculation results, effectively improving the calculation efficiency while maintaining high accuracy to meet the needs of wind resource assessment under large-scale and complex terrain conditions.

[0019] The present invention adopts a method of correcting directional results and introduces the refined simulation results of local areas into traditional wind resource simulation, effectively avoiding the problem of excessive grid volume and incomputation caused by fine simulation of the complex terrain of the entire calculation domain.

[0020] The present invention performs refined local simulation on locations with abundant wind resources and complex terrain, and uses the local simulation results to correct the overall directional calculation results, so that the wind resource simulation results can better consider the influence of complex terrain, avoiding the problem of inaccurate results caused by the grid size being larger than the turbulence size in traditional simulation methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0022] Figure 1 is a flow chart of a directional calculation method for wind resource assessment according to Embodiment 1 of the present invention; Figure 2 is a schematic diagram of local terrain remodeling according to the first embodiment of the present invention; Figure 3 Schematic diagram of velocity inlet boundary conditions of embodiment 1 of the present invention; Figure 4 It is a structural diagram of a computer device according to a fourth embodiment of the present invention. DETAILED DESCRIPTION

[0023] To make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0024] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0025] Terminology explanation: Computational Fluid Dynamics (CFD): CFD is a technology that uses computer numerical simulation methods to numerically solve fluid flow. In wind energy resource assessment, CFD is often used to simulate the flow field characteristics of wind farms, including wind speed, turbulence intensity, etc.

[0026] Sector: In the overall directional calculation module, the 360-degree wind direction range of the entire wind field is divided into several sector-shaped areas, each of which is called a simulation sector.

[0027] Wind rose diagram: By visualizing the wind measurement data, a graph is generated to show the frequency or wind speed distribution under different wind directions. The wind rose diagram helps to locate the main wind direction in the wind farm.

[0028] Comprehensive calculation: In the comprehensive calculation, the data measured by a small number of wind towers in the wind farm are combined with wind measurement data and generalized to the entire wind farm to obtain the wind power density and resource map of the entire wind farm. This is a comprehensive evaluation of the entire wind farm.

[0029] Locations with high wind resources: In the analysis, the locations selected based on the overall directional calculation results indicate that the area has high wind resources and is suitable for the construction of wind farms.

[0030] Refined Model: In local directional calculations, local areas are remodeled and multiple meshing strategies are used to more accurately depict terrain features, which helps improve the accuracy of the simulation.

[0031] Boundary conditions: In local directional calculations, the results of the first directional calculation are used as new boundary conditions. Boundary conditions are important parameters in numerical simulations and are used to define the external conditions of the simulation area.

[0032] Correction: In the local orientation calculation, the local refined orientation simulation results are used to correct the original orientation results. The correction is intended to more accurately consider the impact of complex terrain on the wind field.

[0033] Final wind resource assessment: Combine the corrected directional results with the wind measurement data to obtain the final wind resource assessment result. This is a summary of the entire assessment process and provides comprehensive wind energy resource information.

[0034] Introduction of optional items: In the technical solution of the present invention, some optional items of data are mentioned, such as annual power generation hours, wind shear, inflow angle, etc. This means that these data can be introduced in the evaluation, depending on specific needs.

[0035] Embodiment 1 This embodiment provides a directional calculation method for wind resource assessment.

[0036] This embodiment provides a directional calculation method for wind resource assessment, which uses the refined simulation results of the local area to correct the overall directional calculation results, while maintaining high accuracy, effectively improving the calculation efficiency to meet the assessment needs under large-scale and complex terrain conditions.

[0037] This embodiment provides a directional calculation method for wind resource assessment, comprising the following steps: Step 1: Overall directional calculation.

[0038] Step 101, data collection: collect geographic and meteorological data of the area to be evaluated (the overall area or the target area).

[0039] Among them, geographic data includes elevation data, roughness distribution data, wind tower and wind turbine location data, and meteorological data includes wind measurement data from wind towers.

[0040] Step 102: Perform directional calculation based on geographic data.

[0041] The steps of directional calculation include: the wind direction of the entire wind field is 360 degrees, and the simulation area (area to be evaluated) is divided into multiple sectors according to the wind direction. After the division is completed, the computational fluid dynamics (CFD) tool is used to perform numerical simulation on each sector to simulate the flow field characteristics of the wind field and obtain the directional calculation value (global directional calculation result).

[0042] As an implementation method, the sectors are evenly divided with a fixed step size, such as dividing a sector every 22.5°, and the wind farm is divided into 16 sectors.

[0043] As another implementation, sectors are divided using non-uniform step sizes.

[0044] Step 103: Visualization: Generate a wind rose diagram using wind measurement data to intuitively locate the main wind direction.

[0045] Step 2: First comprehensive calculation.

[0046] In this embodiment, the first comprehensive calculation is performed in combination with the wind measurement data, that is, interpolation calculation is performed in combination with the directional calculation value results of the adjacent mountainous area and the measured values ​​of the wind tower (that is, the wind measurement data), so as to generalize a small amount of measured data of the wind tower to the entire wind farm and obtain the wind resource data of the entire wind farm.

[0047] Among them, wind resource data include wind power density and wind resource maps, as well as annual power generation hours, wind shear, inflow angle, extreme wind speed, turbulence intensity, air density, wind power density, Weibull parameters, average wind speed and other data.

[0048] Step 3: Site selection analysis: Based on the first comprehensive calculation results and geographic data, select locations with abundant wind resources and / or complex terrain as the proposed site locations.

[0049] In this embodiment, the location with abundant wind resources is selected considering: (1) High wind speed areas: Locations with higher wind speeds are preferred. Higher wind speeds mean greater wind energy density, which can improve the power generation efficiency and economy of wind farms.

[0050] Among them, the following strategies can be used to determine whether it is a high wind speed location: (101) Comparison with local average wind speed: If the known wind speed at a location is significantly higher than the local average, it is considered to be high wind speed.

[0051] (102) Comparison with wind force level standards: The known wind speed at a location is compared with internationally accepted wind force level standards. Based on these standards, wind speeds are classified into different levels, such as level 1 to level 12. If the known wind speed corresponds to a wind force level exceeding level 6, it can be considered as high wind speed.

[0052] (103) Comparison of wind energy density: Using the known wind speed at a certain location, the wind energy density is calculated, that is, the wind energy per unit area or unit volume. If the calculated wind energy density exceeds a threshold, it can be considered as high wind speed.

[0053] (104) Comparison with wind farm design standards: The known wind speed at a location can be compared with the minimum available wind speed for the wind farm design. If the known wind speed is higher than the minimum available wind speed, it can be considered as high wind speed.

[0054] (2) Stable wind farm: The site should have stable wind farm characteristics, that is, the wind speed changes little and the wind direction distribution is relatively consistent. This can reduce the operational risk of the wind farm and improve power generation stability.

[0055] In this embodiment, local screening is performed: local areas with complex terrain that require more accurate simulation are screened out as proposed site locations.

[0056] In wind resource simulation, terrain complexity may lead to inaccurate results, especially in areas with large terrain undulations and the presence of landform features such as mountains, valleys, and hills. These terrain features can have a significant impact on the flow of wind fields, resulting in uneven spatial distribution of wind speed and direction.

[0057] In this embodiment, the terrain map is analyzed, and the complex terrain is shown as follows: (1) Contour density: When the contour density exceeds the set value, the contour lines are dense, indicating that the terrain is undulating.

[0058] (2) Terrain curvature: Terrain curvature refers to the degree of curvature of the terrain surface, that is, the severity of the terrain undulations. Areas where the terrain curvature exceeds the set value, that is, areas with large terrain curvature, usually indicate complex terrain, with possible landform features such as valleys and steep slopes.

[0059] (3) Terrain height change: The elevation information marked on the topographic map can show the change in terrain height. Areas where the terrain height change exceeds the set value, that is, areas with drastic elevation changes, often have a greater impact on the wind farm.

[0060] Step 4: Local directional calculation.

[0061] Step 401: Local area modeling: Figure 2As shown, the selected area (proposed site location) is locally modeled, and a grid division strategy is selected according to the terrain characteristics to divide the local area into fine grids to accurately describe the terrain characteristics.

[0062] In this embodiment, a grid division strategy is adopted when performing directional calculations in a local area.

[0063] Step 402, boundary condition setting: according to the first directional calculation result, the boundary condition of the local area in the main wind direction is obtained.

[0064] Step 403: Post-process the result of the first directional calculation to derive the wind speed at the regional boundary of the local area (the data in the boundary condition of the local area in the main wind direction), especially the wind speed at the inlet boundary; take the average wind speed at different heights of the inlet area, fit and generate a function of wind speed varying with height, and obtain a height-wind speed curve; use UDF to compile the "height-wind speed curve" into the velocity inlet boundary condition of the "local area", such as Figure 3 shown.

[0065] In this embodiment, the function used to fit the wind speed at different height points is in the form of a power function:

[0066] Among them, u(z) represents the wind speed at a height of z, u0 is the known wind speed at a reference height, and α is a power exponent, which can be obtained by fitting wind speed data at different heights.

[0067] If the wind speeds at heights of 10, 20, and 30 meters are 5, 6, and 7 m / s respectively, we can calculate that α=0.2 and u0=4.

[0068] Step 404, refined simulation: Based on the velocity inlet boundary conditions, a refined directional simulation is performed on the incoming flow in the main wind direction of the local area to obtain a local refined directional result.

[0069] Among them, the result of local directional calculation is the flow field characteristics of the selected area. Directional calculation is to simulate the flow field characteristics of a wind field with a specific wind speed and wind direction. The results of directional calculation can include: wind acceleration factor, horizontal wind speed (m / s), three-dimensional wind speed (m / s), inflow angle (°), wind direction deviation (°), turbulence intensity. Different sectors have different wind directions. For example, the directional calculation result of a 30° sector is the flow field of a 30° wind direction.

[0070] The strategies to improve the accuracy of directional simulation results are as follows: (1) Grid quality and density: Use finer and more uniform grids, especially in key areas (such as boundary layers and flow separation areas) to ensure that the details and changes of the flow field are fully captured. Appropriate grid density and quality are critical to accurately simulate flow behavior. The horizontal grid resolution of traditional wind resource simulation directional calculations generally ranges from several meters to tens of meters. Too small a grid resolution (size) will result in an excessively large number of grids. The grid of the second directional calculation can be adjusted as needed and the size can be reduced several times, such as 1 meter.

[0071] (2) Boundary condition setting: Select appropriate boundary conditions to ensure that they are consistent with the actual situation. In particular, for the inlet and outlet of the flow field, the boundary conditions need to be set accurately to ensure the reliability of the simulation results.

[0072] Since higher mesh quality and density as well as more accurate boundary condition settings are used in local areas, the calculation results are more refined compared to the overall orientation calculation (the first orientation calculation).

[0073] Step 5: Correct and recalculate.

[0074] Step 501, correction of orientation results: use the local refined orientation simulation results (local orientation calculation results) to correct the original orientation results. Use the second local simulation results (local orientation calculation results) to splice and overwrite the first simulation results (global orientation calculation results). The orientation calculation results are used as a whole, and the second simulation results (local refined simulation calculation results) are used for the selected "local area".

[0075] Step 502, comprehensive calculation again: use the corrected directional calculation result and combine it with the wind measurement data to perform comprehensive calculation again.

[0076] Finally, the corrected orientation results are combined with the wind measurement data to obtain the final wind resource assessment results.

[0077] The present embodiment provides a directional calculation method for wind resource assessment, which first performs an overall wind resource assessment on the wind farm, then performs a refined local simulation on locations with rich wind resources and complex terrain, uses the local simulation results to correct the overall directional calculation results, and completes the comprehensive calculation in combination with wind measurement data. Compared with the traditional wind resource simulation method, the present invention performs a refined simulation on the local complex terrain on the basis of the traditional wind resource simulation method, and uses the refined simulation results to correct the overall simulation results.

[0078] The present embodiment provides a directional calculation method for wind resource assessment, which can effectively combine the refined simulation of complex terrain in the proposed site selection location with the traditional simulation method, thereby avoiding the problem of inaccurate results caused by the grid size being larger than the turbulence size in the traditional simulation method.

[0079] If the complex terrain of the entire calculation domain is simulated in detail, the grid volume will be too large and the calculation will be impossible. This embodiment provides a directional calculation method for wind resource assessment, which adopts a method of correcting directional results and introduces the refined simulation results of the local area into the traditional wind resource simulation, effectively avoiding the occurrence of this problem, so that the wind resource simulation results can take into account the influence of complex terrain more, making the results more accurate.

[0080] Embodiment 2 This embodiment provides a directional computing system for wind resource assessment, which specifically includes: A data acquisition module is configured to: acquire geographic data and meteorological data of a target area; A global orientation calculation module is configured to: perform orientation calculation on a target area based on geographic data to obtain a global orientation calculation result; A comprehensive calculation module is configured to: perform comprehensive calculations on the target area based on the global directional calculation results and meteorological data to obtain the wind resource data of the entire field; A local screening module is configured to: select a number of local areas within a target area based on the full-field wind resource data and geographic data; The local directional calculation module is configured to: for each local area, extract the wind speed at the boundary of the local area from the global directional calculation result, fit and generate a function of the wind speed varying with the height, compile the function into a boundary condition, perform directional calculation, and obtain the local directional calculation result; A correction module is configured to: use the local orientation calculation result to correct the global orientation calculation result to obtain a corrected orientation calculation result; The re-comprehensive calculation module is configured to: perform comprehensive calculation on the target area again based on the revised directional calculation result in combination with meteorological data.

[0081] It should be noted here that each module in this embodiment corresponds to each step in Example 1 one by one, and the specific implementation process is the same, which will not be repeated here.

[0082] Embodiment 3 This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps in the directional calculation method for wind resource assessment described in the first embodiment are implemented.

[0083] Embodiment 4 This embodiment provides a computer device, such as Figure 4 As shown, it includes a computer-readable storage medium 1003, a processor 1001, a communication interface 1002, and a computer program stored on the computer-readable storage medium 1003 and executable on the processor 1001, wherein the processor 1001, the communication interface 1002, and the computer-readable storage medium 1003 may be connected via a bus or other means. The communication interface 1002 is used to receive and send data, and when the processor 1001 executes the program, the steps in the directional calculation method for wind resource assessment described in the first embodiment are implemented.

[0084] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, 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, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0085] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0086] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A directional calculation method for wind resource assessment, characterized in that: include: Obtain geographic and meteorological data of the target area; Based on geographic data, directional calculation is performed on the target area to obtain global directional calculation results; Based on the global directional calculation results and meteorological data, comprehensive calculation is performed on the target area to obtain the wind resource data of the entire field; Based on the full-field wind resource data and geographic data, several local areas are selected within the target area; For each local area, the wind speed at the boundary of the local area is extracted from the global directional calculation results. After fitting and generating a function of wind speed varying with height, the function is compiled into boundary conditions, and directional calculation is performed to obtain the local directional calculation results. The local orientation calculation result is used to correct the global orientation calculation result to obtain a corrected orientation calculation result.

2. A directional calculation method for wind resource assessment according to claim 1, characterized in that: The local area meets at least one of the following conditions: the wind speed is higher than the local average level, the wind force level corresponding to the wind speed exceeds a set value, the wind energy density exceeds a threshold, and the wind speed is higher than the minimum available wind speed.

3. A directional calculation method for wind resource assessment according to claim 1, characterized in that: The local area satisfies at least one of the following conditions: the density of contour lines exceeds a set value, the terrain curvature exceeds a set value, and the terrain height change exceeds a set value.

4. A directional calculation method for wind resource assessment according to claim 1, characterized in that: A grid division strategy is adopted when performing directional calculation in the local area.

5. A directional calculation method for wind resource assessment according to claim 1, characterized in that: The entire area is divided into a plurality of sectors according to wind directions when performing directional calculations.

6. A directional calculation method for wind resource assessment according to claim 1, characterized in that: The full-field wind resource data includes wind power density, wind resource map, annual power generation hours, wind shear, inflow angle, extreme wind speed, turbulence intensity, air density, wind power density, Weibull parameters and average wind speed.

7. A directional calculation method for wind resource assessment according to claim 1, characterized in that: Also includes: Based on the revised directional calculation results and combined with meteorological data, comprehensive calculations are performed again on the target area.

8. A directional computing system for wind resource assessment, characterized in that: include: A data acquisition module is configured to: acquire geographic data and meteorological data of a target area; A global orientation calculation module is configured to: perform orientation calculation on a target area based on geographic data to obtain a global orientation calculation result; A comprehensive calculation module is configured to: perform comprehensive calculations on the target area based on the global directional calculation results and meteorological data to obtain the wind resource data of the entire field; A local screening module is configured to: select a number of local areas within a target area based on the full-field wind resource data and geographic data; The local directional calculation module is configured to: for each local area, extract the wind speed at the boundary of the local area from the global directional calculation result, fit and generate a function of the wind speed varying with the height, compile the function into a boundary condition, perform directional calculation, and obtain the local directional calculation result; The correction module is configured to correct the global orientation calculation result by using the local orientation calculation result to obtain the corrected orientation calculation result.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of a directional calculation method for wind resource assessment as described in any one of claims 1 to 7 are implemented.

10. A computer device comprising a computer-readable storage medium, a processor, and a computer program stored in the computer-readable storage medium and executable on the processor, characterized in that: When the processor executes the program, the steps in the directional calculation method for wind resource assessment according to any one of claims 1 to 7 are implemented.

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