Wind energy resource assessment method and system considering early-stage wind field wake flow
By obtaining and stitching wind farm directional calculation results, and combining comprehensive calculation of tail flow models and air measurement data, the traditional wind resource site selection method is solved. And accurate wind energy resource assessment.
Patent Information
- Application Number
- CN202411576861.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-06
- Publication Date
- 2025-01-24
AI Technical Summary
The traditional wind resource site selection simulation method has insufficient consideration of the early wind farm wake, resulting in low site selection accuracy. At the same time, treating the front and late wind farms as a whole for directional calculations will increase huge calculations, resulting in time cost. High and high computing equipment requirements.
By obtaining the geographical information data of the later wind field and the directional calculation results of the early wind field, the wake model is introduced after splicing, and the wind measurement data and wind turbine data are combined for comprehensive calculation to evaluate the performance of the later wind field.
Improve the efficiency and accuracy of the later wind field site selection, make the simulation results closer to the actual situation, reduce repeated calculations, reduce the calculation duration and improve the calculation efficiency.
Smart Images
Figure CN119358835A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of wind farms, and in particular relates to a method and system for evaluating wind energy resources taking into account the wake of a previous wind farm. 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] In the large-scale development of wind farms, the wake effect is an important factor affecting the assessment of wind resources, and the wake effect between wind farm groups is particularly prominent. Large wind farms are often large in scale and contain a large number of wind turbines. Wind farms of this size are often built in batches and phases.
[0004] The wind farms that have been built in the early stage may have a serious shielding effect on the downstream wind farms, affecting the wind resource distribution of the downstream wind farms and further affecting the yield of the wind farms. The traditional wind resource site selection simulation method has shortcomings when considering the wake of the previous wind farms, resulting in low site selection accuracy.
[0005] In addition, if the wind farms at the beginning and end are regarded as a whole and directional calculations are performed on the entire wind farm, the amount of calculations will be greatly increased. The huge amount of calculations not only requires a high time cost, but also puts higher requirements on the computing equipment. When the amount of calculations is too large, it may even be impossible to perform directional calculations. Summary of the invention
[0006] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a wind energy resource assessment method and system taking into account the wake of the previous wind farm, which utilizes the existing directional calculation results of the previous wind farm and comprehensively considers the influence of the wake of the previous wind farm on the wind resources of the later wind farm, so that the simulation results are closer to the actual situation, thereby improving the efficiency and accuracy of the site selection of the later wind farm.
[0007] In order to achieve the above object, the present invention adopts the following technical solution: A first aspect of the present invention provides a method for evaluating wind energy resources taking into account the wake of a previous wind farm, comprising: Obtaining geographic information data of the later wind farm and directional calculation results of the earlier wind farm, and performing directional calculation of the later wind farm based on the geographic information data to obtain directional calculation results of the later wind farm; splicing the directional calculation results of the early wind field and the directional calculation results of the late wind field to obtain a spliced directional calculation result; Based on the spliced directional calculation results, the wake model is introduced, and the wind measurement data and wind turbine data are combined to perform comprehensive calculations; The comprehensive calculation results are analyzed to evaluate the later wind farm performance.
[0008] Furthermore, it also includes: after comprehensive calculation, comparing the change in power generation of the early wind farm before and after the construction of the later wind farm.
[0009] Further, the later wind farm and the earlier wind farm have the same boundary conditions and / or matching identifiers.
[0010] Furthermore, the later wind farm performance includes the spatial distribution of power generation, wind speed and turbulence intensity.
[0011] Furthermore, the directional calculation of the later wind field is carried out in sectors.
[0012] Furthermore, the directional calculation uses a computational fluid dynamics simulation method to perform numerical simulation on the later wind field to obtain a wind resource map.
[0013] A second aspect of the present invention provides a wind energy resource assessment system taking into account the wake of a previous wind farm, comprising: A directional calculation module is configured to: obtain geographic information data of a later wind farm and a directional calculation result of an earlier wind farm, perform directional calculation of the later wind farm based on the geographic information data, and obtain a directional calculation result of the later wind farm; A directional result splicing module is configured to: splice the directional calculation results of the previous wind field with the directional calculation results of the later wind field to obtain a spliced directional calculation result; A comprehensive calculation module is configured to: introduce a wake model based on the spliced directional calculation results, and combine the wind measurement data and the wind turbine data to perform comprehensive calculations; The performance evaluation module is configured to analyze the comprehensive calculation results and evaluate the later wind farm performance.
[0014] Furthermore, the performance evaluation module is also configured to: after comprehensive calculation, compare the change in power generation of the early wind farm before and after the construction of the later wind farm.
[0015] 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 the above-mentioned method for assessing wind energy resources taking into account the wake of a previous wind farm.
[0016] 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 method for evaluating wind energy resources taking into account the wake of a previous wind farm as described above are implemented.
[0017] Compared with the prior art, the present invention has the following beneficial effects: The present invention utilizes the existing early wind farm directional calculation results, comprehensively considers the impact of the early wind farm wake on the wind resources of the later wind farm, improves the efficiency and accuracy of the later wind farm site selection, and makes the simulation results closer to the actual situation.
[0018] The present invention takes into account the influence of wakes between wind farms, supports regional directional calculation of wind farms, thereby reducing repeated calculations, and performs wind resource assessment simulation on wind farms with shorter calculation time and higher calculation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] 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.
[0020] Figure 1 is a flow chart of a method for evaluating wind energy resources taking into account the wake of a previous wind farm according to a first embodiment of the present invention; Figure 2 is a flow chart of directional calculation according to the first embodiment of the present invention; Figure 3 is a flow chart of comprehensive calculation of the first embodiment of the present invention; Figure 4 This is a structural diagram of a wind energy resource assessment system considering the wake of a previous wind farm according to a second embodiment of the present invention; Figure 5 It is a structural diagram of a computer device according to a fourth embodiment of the present invention. DETAILED DESCRIPTION
[0021] 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.
[0022] 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.
[0023] Terminology explanation: Computational Fluid Dynamics (CFD): CFD (Computational Fluid Dynamics) is an engineering discipline that uses numerical methods to solve fluid flow and heat transfer problems. It is used to simulate the fluid flow characteristics of wind farms.
[0024] Wake model: The wake model is used to consider the impact of the wake generated by the wind turbine on the wind farm. Common wake models include the PARK model, improved PARK model, Frandsen model, etc.
[0025] Simulation Report: A simulation report is a document generated based on comprehensive calculation results, providing a detailed assessment of the wind farm performance, including site selection recommendations, potential wind power generation capacity and other information.
[0026] Directional calculation: Directional calculation refers to the directional numerical simulation of the wind field to obtain the wind field characteristics in different directions.
[0027] CFD simulation method: CFD simulation method is a method of numerical simulation using computational fluid dynamics technology, which is used to simulate the fluid flow in the wind field.
[0028] Boundary conditions: Boundary conditions refer to the physical conditions set at the boundary of the computational domain in numerical simulation to limit the range of fluid flow.
[0029] Data interpolation: Data interpolation refers to using information between known data points to estimate values at unknown locations to fill in missing or gaps in the data.
[0030] Data Retrieval: Data retrieval is the process of retrieving required data from a storage module, usually by specifying an identifier.
[0031] Data verification: Data verification is the process of ensuring that the loaded data is complete and accurate, and verifying its consistency with the subsequent wind farm directional calculation condition settings.
[0032] Regional directional calculation: Regional directional calculation is to divide the wind field into multiple areas and perform directional calculations on each area to improve calculation efficiency.
[0033] Embodiment 1 This embodiment provides a wind energy resource assessment method taking into account the wake of previous wind farms.
[0034] The early stage wind farm refers to the area where wind turbines have been built or planned in a large-scale wind farm that is constructed in batches and phases. It may be one or more areas.
[0035] Later-stage wind farms (wind farms to be built) refer to areas in large-scale wind farms that are being built in batches and phases but have not yet been planned and are about to undergo wind resource assessment.
[0036] This embodiment provides a method for evaluating wind energy resources taking into account the wake of previous wind farms, such as Figure 1 As shown, the following steps are included: Step 1: Directional calculation of the later wind field by sectors: Divide the later wind field into multiple areas and perform directional calculation by sectors.
[0037] Specifically, Figure 2 As shown, the directional calculation steps include: Step 101, data collection: obtaining geographic information data and meteorological data (wind measurement data) of the later wind field.
[0038] Among them, geographic information data (topographic data) includes topographic maps and roughness maps; meteorological data includes wind speed, wind direction, temperature, etc.
[0039] Step 102, data preprocessing: preprocessing the collected later wind field data, including cleaning, removing outliers, and data interpolation to ensure the reliability and accuracy of geographic information data and meteorological data.
[0040] Step 103, numerical simulation: Based on geographic information data, the CFD simulation method is used to perform numerical simulation on the later construction wind farm, and the directional calculation of the later wind farm is performed in sectors to obtain specific wind farm directional calculation results.
[0041] The directional calculation result is a wind resource map for each sector (a relationship is established between the location of the wind tower and any other location).
[0042] Step 104, result storage: storing the directional calculation results of the later wind field in a storage module.
[0043] Step 2: Obtaining the directional calculation results of the early wind farm: Filter and load the directional calculation results of the early wind farm construction.
[0044] Specifically, the steps of obtaining the preliminary wind field directional calculation results include: Step 201, data retrieval, retrieving the directional calculation results of the previous wind field from the storage module through the specified identifier; Step 202, data preview and data verification, ensure that the loaded data is complete and accurate, and verify its consistency with the later wind farm directional calculation condition settings.
[0045] Step 3: Splice the directional calculation results: Splice the directional calculation result data of the previous and later wind fields to form a complete directional calculation result.
[0046] Specifically, the steps of splicing the directional calculation results include: Step 301, retrieve the directional calculation results of the early wind field and the late wind field from the storage module; Step 302: match the directional calculation results of the early wind farm and the later wind farm to ensure that they have the same boundary conditions and / or other matching identifiers; the specific matching method is to retrieve / view the directional calculation information in the database to ensure that the boundary conditions and / or other matching identifiers during the early and later wind farm calculations are consistent, for example, the boundary conditions such as the inlet wind speed and outlet pressure of the wind farm need to be consistent.
[0047] Step 303: splice the matched early wind field and late wind field directional calculation results to form a set of input data for wind field comprehensive calculation simulation.
[0048] Among them, the main steps of splicing include: unified data format, boundary connection processing, interpolation and transition processing. Unified data format: First, ensure that the data format of the early and late wind farms is the same, such as file type (such as CSV, NetCDF, etc.), grid structure (grid size and coordinates), time step, etc. Boundary connection processing: When splicing, it is necessary to ensure that the physical quantities (such as wind speed, direction, etc.) between the end boundary of the early wind farm and the starting boundary of the later wind farm are continuous. If there is discontinuity at the boundary, smooth transition processing is required, such as inserting transition data between boundary points. Interpolation and transition processing: The time resolution or grid resolution of the current and later periods is different, and interpolation methods (such as linear interpolation, spline interpolation, etc.) need to be used to unify the data. In addition, transition processing can be performed at the splicing boundary to smooth data changes and avoid sudden changes.
[0049] Step 304: Store the spliced directional calculation results in a storage module.
[0050] Step 4: Apply the wake model in a unified manner, combine the wind measurement data (meteorological data) and wind turbine data for comprehensive calculation: Based on the spliced directional calculation results, introduce the wake model, combine the wind measurement data and wind turbine data, and perform comprehensive calculations to obtain the wind resource assessment results that consider the impact of the wake of the previous wind field on the later wind field (including: average wind speed, Weibull parameters, wind shear, inflow angle, extreme wind speed, turbulence intensity, wind power density and other wind condition parameters and annual power generation), and then obtain the locations of the proposed wind measurement tower and wind turbine layout.
[0051] Among them, wind measurement data includes wind speed data, wind direction data, etc., which comes from the wind tower, also called wind tower data. Wind turbine data includes wind turbine model, power curve, etc. Wind measurement data is the data of the wind tower, which is used to calculate the true value of the wind farm and correct the directional calculation results. It is used to calculate the wind speed, turbulence, etc. of the field, and wind turbine data is used to calculate power generation. The directional calculation results combined with the wind measurement data can obtain the wind speed, turbulence, etc. of the wind farm, and then combined with the wind turbine to calculate the power generation.
[0052] Specifically, Figure 3 As shown, the steps of comprehensive calculation and wake model application include: Step 401, the directional calculation results of the upstream and downstream wind fields (the spliced directional calculation results) are combined with the wind measurement data, mainly for matching and interpolation processing; Step 402, loading wind turbine data information; Step 403: introduce a wake model for comprehensive calculation, select a wake model suitable for comprehensive wind field simulation input; and set parameters of the wake model.
[0053] Among them, the application of wake model is to consider the wake attenuation in the comprehensive calculation.
[0054] Among them, the parameters of the wake model are mainly the wake attenuation coefficient. The wake model can be expressed as:
[0055] Where △u is the loss rate, U ∞ is the incoming flow velocity, CT is the thrust coefficient of the fan, kw is the wake expansion (attenuation) coefficient, x is the downstream flow distance of the fan disk, rw is the wake radius, and r0 is the fan radius.
[0056] Step 404: Perform comprehensive calculation.
[0057] In the comprehensive calculation, the directional calculation results provide wind resource parameters for different sectors within the wind farm, the wind measurement data is used to verify and calibrate the model, the wind turbine data is used to calculate the power generation, and the wake model is used to predict the mutual influence between wind turbines. The comprehensive calculation combines all these factors to conduct a comprehensive wind farm performance evaluation.
[0058] Directional calculation: Flow field calculation is performed according to the input boundary conditions and atmospheric stability, which is the basis for further calculation of wind resource parameters and calculation of wind turbine power generation and wake effect.
[0059] Wind measurement data: Provides actual measurements of key parameters such as wind speed, wind direction, and turbulence intensity from wind towers. These data are used to verify and calibrate wind farm models.
[0060] Fan data: including the physical parameters of the fan (such as impeller diameter, hub height, etc.) and operating parameters (such as power curve, thrust coefficient, etc.).
[0061] Wake model: The wake model is used to predict the decrease in wind speed and increase in turbulence in the downstream area of the wind turbine, such as Jensen, Larsen, etc.
[0062] Comprehensive calculation: Comprehensive calculation refers to the process of combining the directional calculation results with the measured wind resource data or mesoscale data to calculate the wind resource parameters, wind turbine power generation and wake effect. This step is the core of wind farm design and optimization because it involves a comprehensive evaluation of wind farm performance, including comprehensive consideration of factors such as wind speed, wind direction, turbulence intensity, wind turbine layout and wake effect.
[0063] Step 5: Generate simulation report: Generate a comprehensive simulation report based on the comprehensive calculation results and taking into account the influence of the previous wind field wake.
[0064] Specifically, the steps of generating a simulation report include: Step 501, combining the spliced directional calculation results with the wind measurement data, and simultaneously introducing the wind turbine data and applying the wake model for comprehensive calculation to obtain comprehensive wind field simulation data; Step 502, storing the calculated comprehensive simulation results in a storage module; Step 503: Perform detailed data analysis on the comprehensive simulation (comprehensive calculation) results, analyze the spatial distribution of wind speed, turbulence intensity, power generation, etc., evaluate the performance of the later wind farm, and generate a detailed simulation report of the later wind farm under the influence of the previous wind farm, including wind farm performance evaluation, site selection suggestions, potential wind power generation capacity, etc.; Step 504: A post-evaluation may also be performed on the previous wind farm, by comparing the change in power generation of the previous wind farm before and after the construction of the later wind farm, and evaluating the impact of the construction of the later wind farm on the wind resource and power generation of the previous wind farm.
[0065] Step 505: store the generated simulation report for subsequent review and sharing.
[0066] For large-scale wind farms that are planned to be built (construction has not yet started), the wind farm can also be divided into multiple areas, and directional calculations can be performed in each area. The directional calculation results can then be spliced together and unified for comprehensive calculations to improve calculation efficiency.
[0067] The present embodiment provides a wind energy resource assessment method that takes into account the wake of previous wind farms. It utilizes the existing directional calculation results of previous wind farms, comprehensively considers the impact of the wake of previous wind farms on the wind resources of later wind farms, improves the efficiency and accuracy of later wind farm site selection, and makes the simulation results closer to the actual situation.
[0068] This embodiment provides a wind energy resource assessment method that takes into account the wake of previous wind farms. It takes into account the impact of wakes between wind farms and supports regional directional calculations of wind farms, thereby reducing repeated calculations and performing wind resource assessment simulations on wind farms with shorter calculation time and higher calculation efficiency.
[0069] The present embodiment provides a wind energy resource assessment method that takes into account the wake of previous wind farms, which takes into account the impact of the wake of previous wind farms on later wind farms, effectively improving the accuracy of later wind farm site selection and the level of simulation detail; and saves calculation time, improves calculation efficiency, increases the level of wind farm simulation detail, and is more in line with actual conditions, thereby providing important technical support for the sustainable development of wind farms.
[0070] Embodiment 2 This embodiment provides a wind energy resource assessment system that takes into account the wake of previous wind farms.
[0071] This embodiment provides a wind energy resource assessment system that takes into account the wake of the previous wind farm, such as Figure 4As shown, it includes a data storage module, a directional calculation module (referred to as calculation module), a directional result splicing module, a comprehensive calculation module, and a report generation module (also known as performance evaluation module).
[0072] The directional calculation module is configured to: obtain geographic information data of the later wind farm, and retrieve the directional calculation results of the previous wind farm in the data storage module; perform directional calculation of the later wind farm based on the geographic information data, obtain the directional calculation results of the later wind farm, and store them in the data storage module; A directional result splicing module is configured to: splice the directional calculation results of the previous wind field with the directional calculation results of the later wind field to obtain a spliced directional calculation result; A comprehensive calculation module is configured to: introduce a wake model based on the spliced directional calculation results, and combine the wind measurement data and the wind turbine data to perform comprehensive calculations; The performance evaluation module is configured to: analyze the comprehensive calculation results to evaluate the performance of the later wind farm; and compare the changes in power generation of the earlier wind farm before and after the later wind farm is built.
[0073] 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.
[0074] 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 wind energy resource assessment method considering the wake of a previous wind farm as described in the first embodiment above are implemented.
[0075] Embodiment 4 This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in a method for evaluating wind energy resources taking into account the wake of a previous wind farm as described in the first embodiment are implemented.
[0076] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.
[0077] 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 method for evaluating wind energy resources taking into account the wake of previous wind farms, characterized in that: include: Obtaining geographic information data of the later wind farm and directional calculation results of the earlier wind farm, and performing directional calculation of the later wind farm based on the geographic information data to obtain directional calculation results of the later wind farm; splicing the directional calculation results of the early wind field and the directional calculation results of the late wind field to obtain a spliced directional calculation result; Based on the spliced directional calculation results, the wake model is introduced, and the wind measurement data and wind turbine data are combined to perform comprehensive calculations; The comprehensive calculation results are analyzed to evaluate the later wind farm performance.
2. A method for evaluating wind energy resources taking into account the wake of a previous wind farm as claimed in claim 1, characterized in that: Also includes: After comprehensive calculations, the changes in power generation of the early wind farm were compared before and after the construction of the later wind farm.
3. A method for evaluating wind energy resources taking into account the wake of a previous wind farm as claimed in claim 1, characterized in that: The later wind field and the earlier wind field have the same boundary conditions and / or matching identifiers.
4. A method for evaluating wind energy resources taking into account the wake of a previous wind farm as claimed in claim 1, characterized in that: The later stage wind farm performance includes the spatial distribution of power generation, wind speed and turbulence intensity.
5. A method for evaluating wind energy resources taking into account the wake of a previous wind farm as claimed in claim 1, characterized in that: Directional calculation of the subsequent wind field is carried out in sectors.
6. A method for evaluating wind energy resources taking into account the wake of a previous wind farm as claimed in claim 1, characterized in that: The directional calculation uses a computational fluid dynamics simulation method to perform numerical simulation on the later wind field to obtain a wind resource map.
7. A wind energy resource assessment system considering the wake of previous wind farms, characterized in that: include: A directional calculation module is configured to: obtain geographic information data of a later wind farm and a directional calculation result of an earlier wind farm, perform directional calculation of the later wind farm based on the geographic information data, and obtain a directional calculation result of the later wind farm; A directional result splicing module is configured to: splice the directional calculation result of the previous wind field with the directional calculation result of the later wind field to obtain a spliced directional calculation result; A comprehensive calculation module is configured to: introduce a wake model based on the spliced directional calculation results, and combine the wind measurement data and the wind turbine data to perform comprehensive calculations; The performance evaluation module is configured to analyze the comprehensive calculation results and evaluate the later wind farm performance.
8. A wind energy resource assessment system considering the wake of previous wind farms as claimed in claim 7, characterized in that: The performance evaluation module is further configured to compare the change in power generation of the early wind farm before and after the construction of the later wind farm after comprehensive calculation.
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 in a method for evaluating wind energy resources taking into account the wake of a previous wind farm as described in any one of claims 1 to 6 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 method for evaluating wind energy resources taking into account the wake of a previous wind farm as described in any one of claims 1 to 6 are implemented.