Valley region wind-light-water energy resource evaluation method and system based on numerical pattern

Abstract

The invention discloses a method and system for evaluating wind-light-water energy resources in a river valley region based on a numerical pattern, and relates to the field of energy resource evaluation, and the method comprises the steps: setting online and offline simulation regions based on a river valley to be evaluated; obtaining first data, and processing based on the online and offline simulation areas to obtain second data; on the basis of the second data, performing online simulation to obtain third data; based on the second data and the third data, driving data needed by off-line simulation are manufactured, and off-line simulation is carried out; based on the results of the online simulation and the offline simulation, evaluating the wind-light-water energy resources in the river valley area; according to the method, on the premise of ensuring reasonable and accurate calculation, the spatial range of WRF-Hydro meteorological and hydrological simulation is effectively reduced, the requirement for calculation resources is reduced, the calculation efficiency of wind, light and water resource simulation is improved, and long-time-span wind, light and water energy resource collaborative simulation is supported.

Description

Technical Field

[0001] The present invention relates to the field of energy resource assessment, and particularly to a method and system for assessing wind, light, and water energy resources in a river valley area based on a numerical model. Background Art

[0002] The river valley area has a large terrain slope and abundant water energy resources. Due to terrain barriers, the spatial distribution and temporal fluctuations of wind, light, and water energy resources are both non-uniform. The differences in wind, light, and water energy resources at different times and locations are natural advantages for achieving multi-energy complementary supply and improving the stability and reliability of new energy supply. The river valley area has thus become an important place for the complementary development of wind, light, and water.

[0003] The WRF-Hydro model provides a general method for coordinating the simulation of wind and light resources by combining meteorology and hydrology coupling, which is crucial for assessing the spatio-temporal distribution and complementarity of wind, light, and water energy resources in the river valley area. However, the spatial ranges required for meteorological and hydrological simulations are often inconsistent: accurate meteorological simulations need to cover all possible upwind areas of the river valley, while accurate hydrological simulations need to include the entire upstream basin. Since these two ranges usually do not overlap, to ensure the accuracy of the simulation, the simulation area of WRF-Hydro must be extended to simultaneously include the upwind area and the upstream basin, and meteorological and hydrological elements are simulated in a larger spatial range. Meteorological simulations, due to their large computational volume, often consume more computing resources than hydrological simulations. Especially in the upper reaches of the river valley, especially the part beyond the upwind area, the meteorological simulations carried out result in unnecessary waste of computing resources. This resource waste not only reduces the computational efficiency of the WRF-Hydro model but also shortens the simulation time range and limits the in-depth assessment of extreme hydrological and climate events. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: how to improve the computational efficiency and reduce the waste of computing resources while ensuring the accuracy of the assessment of wind, light, and water energy resources in the river valley area.

[0006] To solve the above technical problem, the present invention provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides a method for assessing wind, light, and water energy resources in a river valley area based on a numerical model, including:

[0008] Setting on-line and off-line simulation areas based on the river valley to be evaluated;

[0009] Obtaining first data and processing it based on the on-line and off-line simulation areas to obtain second data;

[0010] Based on the second data, perform online simulation to obtain the third data;

[0011] Based on the second data and the third data, produce the driving data required for offline simulation and conduct offline simulation;

[0012] Based on the results of the online simulation and the offline simulation, evaluate the wind, light and water energy resources in the river valley area.

[0013] As an optimal scheme of the method for evaluating the wind, light and water energy resources in the river valley area based on the numerical model, wherein:

[0014] The setting of the online and offline simulation areas based on the river valley to be evaluated includes:

[0015] Set the online simulation area to a specific shape and include the entire range of the river valley to be simulated; extract the specific basin range of the river valley, and set the area within the specific basin range and outside the online simulation area as the offline simulation area.

[0016] As an optimal scheme of the method for evaluating the wind, light and water energy resources in the river valley area based on the numerical model, wherein:

[0017] The performing of the online simulation based on the second data to obtain the third data includes:

[0018] Using the global reanalysis data as the driving force, conduct meteorological and hydrological coupled simulation to generate long-term simulation data containing meteorological and hydrological parameters as the third data.

[0019] As an optimal scheme of the method for evaluating the wind, light and water energy resources in the river valley area based on the numerical model, wherein:

[0020] The producing of the driving data required for offline simulation includes:

[0021] Based on the global reanalysis data, use the spatial interpolation method to produce the ground driving data required for offline simulation within the offline simulation area.

[0022] As an optimal scheme of the method for evaluating the wind, light and water energy resources in the river valley area based on the numerical model, wherein:

[0023] The producing of the driving data required for offline simulation further includes:

[0024] Within the area where the offline simulation area overlaps with the online simulation area, use the third data to replace the global reanalysis data.

[0025] As an optimal scheme of the method for evaluating the wind, light and water energy resources in the river valley area based on the numerical model, wherein:

[0026] The conducting of the offline simulation includes:

[0027] Drive the WRF-Hydro model that shuts down the meteorological module and only includes the hydrological process module to conduct offline simulations and output long-term simulation data of the natural river valley flow at hourly resolution.

[0028] As an optimal solution of the method for evaluating the wind-solar-hydro energy resources in the river valley area based on a numerical model, wherein:

[0029] Evaluating the wind-solar-hydro energy resources in the river valley area based on the results of online simulations and offline simulations includes:

[0030] Using the surface downward solar radiation and near-surface wind speed from the online simulation and the natural river valley flow obtained from the offline simulation as the final simulation results to evaluate the wind-solar-hydro energy resources in the river valley area.

[0031] In a second aspect, an embodiment of the present invention provides a system for evaluating wind-solar-hydro energy resources in a river valley area based on a numerical model, including:

[0032] A river valley area division module for setting online and offline simulation areas based on the river valley to be evaluated;

[0033] A data preparation and processing module for obtaining first data and processing it based on the online and offline simulation areas to obtain second data;

[0034] An online simulation module for conducting online simulations based on the second data to obtain third data;

[0035] An offline simulation module for making the driving data required for offline simulations and conducting offline simulations based on the second data and the third data;

[0036] An evaluation module for evaluating the wind-solar-hydro energy resources in the river valley area based on the results of online simulations and offline simulations.

[0037] In a third aspect, an embodiment of the present invention provides a computing device, including:

[0038] A memory and a processor;

[0039] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the one or more programs are executed by the one or more processors, the one or more processors implement the method for evaluating the wind-solar-hydro energy resources in the river valley area based on a numerical model as described in any embodiment of the present invention.

[0040] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium that stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, the method for evaluating the wind-solar-hydro energy resources in the river valley area based on a numerical model is implemented.

[0041] Advantages of the present invention: By dividing the simulation process into online and offline parts, the present invention only performs high-resolution online simulation on key areas when necessary, and uses low-resolution offline simulation for other areas, greatly reducing the computing time required for overall simulation. The precise setting of the online simulation area and the reasonable allocation of the offline simulation area enable the effective utilization of computing resources and improve the overall efficiency of the simulation; due to the existence of the online simulation area and the offline simulation area, this method can significantly reduce the hardware conditions required for the operation of the WRF-Hydro model while ensuring the simulation accuracy. Traditional full-scale high-resolution simulations often require the support of high-performance computing resources and are costly. The present invention reduces the computing demand by an order of magnitude through the intelligent allocation of simulation areas, which not only reduces the initial hardware investment cost but also reduces the energy consumption during operation, having good economic benefits and environmental significance; by gradually correcting the model output (fine-tuning the model using measured data after each stage), this method can effectively address the cumulative error problem that may occur during long-term simulations. This method ensures high accuracy even for long-term simulations spanning years or seasons, providing strong technical support for studying the changing trends of valley scenery, water, and energy resources under the background of long-term climate change; by using high-resolution digital elevation model (DEM) data in combination with GIS software tools, the present invention can more precisely define the boundaries of the target valley and its upstream basin, which is particularly important for valleys with different geographical characteristics. Accurate basin division helps improve the pertinence of meteorological and hydrological simulations, thereby enhancing the accuracy of the assessment of scenery, water, and energy resources in specific valley areas; creatively combining global reanalysis data (coarse resolution) with high-resolution online simulation data to generate the driving data required for offline simulation. This data fusion strategy not only solves the problem that low-resolution data cannot be directly used for high-precision simulations but also further improves the credibility and application value of the final simulation results through verification using measured data during the calibration stage and correction when necessary; by adopting bilinear interpolation or more advanced interpolation methods, the present invention can well solve the problem of converting from global reanalysis data to the fine-grid data required for WRF-Hydro offline simulation. This not only ensures the quality during the data conversion process but also allows the use of more advanced interpolation algorithms to improve the integrity, consistency, and accuracy of the data; combining the surface downward solar radiation and near-surface wind speed obtained from online simulation with the natural valley flow obtained from offline simulation provides a solid foundation for the comprehensive assessment of scenery, water, and energy resources. This method not only covers the key parameters of renewable energy resources but also can intuitively display the spatial distribution of these resources through GIS tools, facilitating the rapid identification and assessment of potential renewable energy development areas; whether it is self-produced data or external data sources, the method of the present invention can flexibly adapt to different data input scenarios.In addition, by dynamically adjusting the initial conditions and model parameters, the method shows stronger adaptability and robustness in dealing with complex meteorological and hydrological conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0043] Figure 1 is the overall flowchart of the method for evaluating wind, light and water energy resources in river valley areas based on numerical models according to the present invention;

[0044] Figure 2 is the schematic diagram of effect comparison in the simulation example of the method for evaluating wind, light and water energy resources in river valley areas based on numerical models according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] To make the above objects, features and advantages of the present invention more obvious and understandable, the following will give a detailed description of the specific embodiments of the present invention in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0046] In the following description, many specific details are set forth to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0047] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure or characteristic that can be included in at least one implementation manner of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that excludes other embodiments.

[0048] Embodiment 1

[0049] Refer to Figure 1 , which is the first embodiment of the present invention. This embodiment provides a method for evaluating wind, light and water energy resources in river valley areas based on numerical models, including:

[0050] S1: Based on the river valley to be evaluated, set up online and offline simulation areas;

[0051] S2: Obtain the first data, process it based on the online and offline simulation regions to obtain the second data;

[0052] S3: Based on the second data, conduct online simulation to obtain the third data;

[0053] S4: Based on the second data and the third data, produce the driving data required for offline simulation and conduct offline simulation;

[0054] S5: Based on the results of the online simulation and the offline simulation, evaluate the wind, light, and water energy resources in the valley region.

[0055] It should be noted that through steps S1 - S5, the spatial range required for accurate simulation of wind, light, and water energy resources by WRF - Hydro is significantly reduced, the cost of numerical simulation can be reduced by one order of magnitude, the simulation calculation efficiency is improved, and the computing resources required for long - term simulation are reduced.

[0056] Embodiment 2

[0057] Refer to Figure 1 , which is an embodiment of the present invention. Based on the previous embodiment, a method for evaluating wind, light, and water energy resources in a valley region based on a numerical model is provided, including:

[0058] In the embodiment of the present application, setting the online and offline simulation regions based on the valley to be evaluated in the above - mentioned step S1 includes:

[0059] For the valley to be evaluated, set the WRF - Hydro online simulation region. The online simulation region is rectangular and includes the entire range of the valley to be simulated; extract the upstream basin range of the valley, and set the area within the upstream basin range and outside the online simulation region as the WRF - Hydro offline simulation region.

[0060] In another possible implementation manner, high - resolution digital elevation model (DEM) data can be used to determine the boundary of the valley and the upstream basin range through GIS software (such as ArcGIS, QGIS).

[0061] Manually adjust the rectangular boundary of the online simulation region according to the valley boundary generated from the DEM data to ensure that it completely covers the valley.

[0062] Use a watershed division tool (such as TauDEM) to automatically extract the upstream basin range, and determine which areas are outside the online simulation region through a programming script, so as to set them as the offline simulation region.

[0063] It should be noted that by precisely setting the online and offline simulation areas, this step ensures that the online simulation focuses on key areas, improving the pertinence and accuracy of the simulation; the reasonable division of the online simulation area reduces the calculation scope of high-resolution simulation, thus significantly reducing the demand for computing resources and the simulation cost; the setting of the offline simulation area enables low-cost preliminary research to be carried out over a larger geographical range, providing basic data for subsequent detailed simulation.

[0064] In the embodiment of the present application, the first data in the above step S2 includes static data and global reanalysis data, and the static data includes terrain, vegetation, and soil.

[0065] It should be noted that static data and global reanalysis data are necessary for carrying out numerical weather simulation, and the specific data sources can be determined according to the specific situation of users: users may produce this data by themselves or use external data sources.

[0066] In the embodiment of the present application, the processing based on the online and offline simulation areas in the above step S2 to obtain the second data includes:

[0067] Obtain the terrain, vegetation, soil, and global reanalysis data within the WRF-Hydro online and offline simulation areas, and respectively convert them into the static data required by the WRF-Hydro model within the offline simulation area and the online simulation area.

[0068] It should be noted that this step ensures the integrity and consistency of the data by obtaining and processing static data (terrain, vegetation, soil) and global reanalysis data, providing a high-quality data basis for subsequent simulation; converting various data into the format required by the WRF-Hydro model ensures the effective utilization of the data and avoids data waste; supporting user-defined data sources increases the flexibility of the method and adapts to data acquisition situations in different regions.

[0069] In the embodiment of the present application, the online simulation based on the second data in the above step S3 to obtain the third data includes:

[0070] Use the global reanalysis data to drive the meteorological-hydrological coupled WRF-Hydro model to simulate long-term simulation data of hourly-resolution near-surface wind speed, near-surface air temperature, near-surface humidity, surface air pressure, surface downward solar radiation, and long-wave radiation as the third data.

[0071] It should be noted that the third data is both the data required for the assessment of wind and solar energy resources and provides the driving data required for offline simulation within the online simulation area.

[0072] In another possible implementation, the simulation period can be divided into multiple stages (such as years or seasons) for step-by-step simulation; after the end of each stage, the measured data is used to correct the model and adjust the initial conditions and parameters; the results after step-by-step correction are used as the input for the next stage to continue the simulation.

[0073] It should be noted that the online simulation of this step uses the high-resolution WRF-Hydro model, which can accurately capture the micrometeorological and hydrological characteristics of the river valley area and improve the accuracy of the simulation results; the third data includes multiple parameters such as near-surface wind speed, near-surface air temperature, near-surface humidity, surface air pressure, surface downward solar radiation, and long-wave radiation, providing comprehensive data support for the assessment of wind, light, and water energy resources; through the step-by-step correction method, the accuracy of long-term simulation is ensured to support long-term research under the background of climate change.

[0074] In the embodiment of the present application, the driving data required for the above-mentioned offline simulation in step S4 includes:

[0075] Based on the global reanalysis data, bilinear and other spatial interpolation methods are used to produce the ground driving data required for WRF-Hydro offline simulation within the offline simulation area; within the area where the offline simulation area overlaps with the online simulation area, the third data is used to replace the global reanalysis data.

[0076] It should be noted that software such as ClimateData Operator or interpolation tools provided by Matlab and Scipy numerical analysis software can be used to produce the ground driving data required for WRF-Hydro offline simulation.

[0077] It should also be noted that the core problem to be addressed in this step is that the spatial resolution of global reanalysis data is usually several tens of kilometers, while WRF-Hydro offline simulation requires data with a resolution of several kilometers. Therefore, it is necessary to interpolate the coarse-resolution reanalysis data onto the fine-resolution WRF-Hydro grid.

[0078] In another possible implementation, the CDo software can be used to interpolate and convert the format of the global reanalysis data; bilinear interpolation or higher-order interpolation methods can also be selected to ensure that the data resolution meets the requirements of WRF-Hydro offline simulation; the interpolated data is combined with the third data (such as the online simulation results) to generate the driving data required for offline simulation.

[0079] In the embodiment of the present application, the above-mentioned offline simulation in step S4 includes:

[0080] Drive the WRF-Hydro model with the meteorological module turned off and only the hydrological process module included to conduct offline simulation and output long-term simulation data of the natural flow in the river valley at hourly resolution.

[0081] It should be noted that in this step, bilinear interpolation or higher-order interpolation methods are used to interpolate the global reanalysis data onto the fine-resolution WRF-Hydro grid, ensuring high resolution and high quality of the data; in the overlapping area of the online simulation and the offline simulation, the results of the online simulation (the third data) are used to replace the global reanalysis data, reducing the transmission of errors and improving the accuracy of the offline simulation; through the offline simulation, the use of computing resources is further optimized, especially in large-scale regions, significantly reducing the computing cost and time.

[0082] In the embodiment of the present application, the evaluation of the wind-solar-hydro energy resources in the river valley area based on the results of the online simulation and the offline simulation includes:

[0083] Taking the surface downward solar radiation, near-surface wind speed from the online simulation, and the natural river flow in the river valley obtained from the offline simulation as the final simulation results, the wind-solar-hydro energy resources in the river valley area are evaluated.

[0084] In another possible implementation manner, based on the results of the online simulation and the offline simulation, the evaluation of the wind-solar-hydro energy resources in the river valley area can be carried out according to the following steps:

[0085] Extract the hourly resolution data of the surface downward solar radiation and the near-surface wind speed from the online simulation data.

[0086] Extract the hourly resolution data of the natural river flow in the river valley from the offline simulation data.

[0087] Use the measured data to verify the simulation results.

[0088] If there are significant differences between the simulation results and the measured data, correction methods (such as bias correction, trend correction, etc.) can be used for adjustment.

[0089] Calculate the wind power density using the near-surface wind speed data;

[0090] Use GIS tools to draw the spatial distribution map of the wind power density and identify the areas rich in wind energy resources;

[0091] Evaluate the wind energy resource potential in the river valley area according to the wind power density map.

[0092] Calculate the solar radiation amount using the surface downward solar radiation data;

[0093] Use GIS tools to draw the spatial distribution map of the solar radiation amount and identify the areas rich in solar energy resources;

[0094] Evaluate the solar energy resource potential in the river valley area according to the solar radiation amount map.

[0095] Using the natural flow data of the river valley obtained by offline simulation, the hydropower resource potential of the river valley area is evaluated according to the natural flow data.

[0096] It should be noted that this step combines the surface downward solar radiation and near-surface wind speed of online simulation with the natural flow data of the river valley of offline simulation to comprehensively evaluate the wind, light and water energy resources, improving the accuracy and reliability of the evaluation; uses GIS tools to draw spatial distribution maps to intuitively display the distribution of wind energy, solar energy and water energy resources, providing strong support for planning and decision-making; verifies and corrects the simulation results through measured data to ensure that the final evaluation results are consistent with the actual situation, improving the scientific nature and credibility of the evaluation; the evaluation method is flexible, can adapt to the characteristics of different river valley areas, supports the evaluation of multiple energy resources, and provides a general solution for energy planning in different regions.

[0097] Embodiment 3

[0098] The above is a schematic solution of the method for evaluating wind, light and water energy resources in a river valley area based on a numerical model in this embodiment. It should be noted that the technical solution of the system for evaluating wind, light and water energy resources in a river valley area based on a numerical model belongs to the same concept as the technical solution of the above method for evaluating wind, light and water energy resources in a river valley area based on a numerical model. For the details not described in detail in the technical solution of the system for evaluating wind, light and water energy resources in a river valley area based on a numerical model in this embodiment, reference can be made to the description of the technical solution of the above method for evaluating wind, light and water energy resources in a river valley area based on a numerical model.

[0099] This embodiment also provides a system based on the method for evaluating wind, light and water energy resources in a river valley area based on a numerical model, including:

[0100] A river valley area division module for setting online and offline simulation areas based on the river valley to be evaluated;

[0101] A data preparation and processing module for obtaining first data and processing it based on the online and offline simulation areas to obtain second data;

[0102] An online simulation module for performing online simulation based on the second data to obtain third data;

[0103] An offline simulation module for making the driving data required for offline simulation and performing offline simulation based on the second data and the third data;

[0104] An evaluation module for evaluating the wind, light and water energy resources in the river valley area based on the results of online simulation and offline simulation.

[0105] This embodiment also provides a computing device applicable to the situation of the method for evaluating wind, light and water energy resources in a river valley area based on a numerical model, including:

[0106] A memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the method for evaluating the wind, light and water energy resources in the river valley area based on the numerical model as proposed in the above embodiments.

[0107] This embodiment also provides a storage medium, on which a computer program is stored, and when the program is executed by the processor, it implements the method for evaluating the wind, light and water energy resources in the river valley area based on the numerical model as proposed in the above embodiments.

[0108] The storage medium proposed in this embodiment and the method for evaluating the wind, light and water energy resources in the river valley area based on the numerical model proposed in the above embodiments belong to the same inventive concept. The technical details not described in detail in this embodiment can be referred to the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0109] Embodiment 4

[0110] Referring to Figure 2 , as an embodiment of the present invention, a method for evaluating the wind, light and water energy resources in the river valley area based on the numerical model is provided. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation experiments.

[0111] As Figure 2 shown, it is a schematic diagram of the traditional WRF-Hydro simulation area and the online-offline combined WRF-Hydro simulation area proposed by the present invention for simulating the wind, light and water energy resources in the lower reaches of the Jinsha River valley.

[0112] Among them, the red dots are the four river valleys to be simulated. The white rectangular frame is the online simulation area referred to in the present invention, which includes the river valleys to be simulated and includes 210×220 model grids horizontally. The area within the white curve is the offline simulation area referred to in the present invention, which is the upstream basin range of the river valley. The base map is the terrain within the traditional WRF-Hydro simulation area, which includes the entire upstream basin range of the river valley and its surrounding areas, and includes 640×640 model grids horizontally. The simulated spatial range is much larger than the range of the rectangular frame. The computational workload required by the traditional simulation method is about 8.9 times that required by the present invention (640×640 / 210 / 220). The evaluation of wind and light resources requires at least a 10-year simulation. The traditional scheme requires about 12 million CPU core hours. Calculated at the common price of 0.1 yuan / CPU core hour in domestic supercomputer centers, the traditional scheme requires about 1.2 million yuan for one simulation, and the present scheme only requires about 135,000 yuan, significantly reducing the cost required for the evaluation of wind and light water resources.

[0113] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A method for evaluating the wind, light and water energy resources in the river valley area based on numerical models, characterized in that Comprising: Based on the valley to be evaluated, set up online and offline simulation areas; Obtain the first data, process it based on the online and offline simulation areas to obtain the second data; Based on the second data, conduct online simulation to obtain the third data; Based on the second data and the third data, produce the driving data required for offline simulation and conduct offline simulation; Based on the results of online simulation and offline simulation, evaluate the wind, light, and water energy resources in the valley area.

2. The method for evaluating the wind, light and water energy resources in the river valley area based on the numerical model according to claim 1, wherein The setting of the online and offline simulation areas based on the valley to be evaluated includes: Set the online simulation area to a specific shape and include the entire range of the valley to be simulated; Extract the specific basin range of the valley, and set the area within the specific basin range and outside the online simulation area as the offline simulation area.

3. The method for evaluating the wind, light and water energy resources in the river valley area based on the numerical model according to claim 2, wherein, The conducting of online simulation based on the second data to obtain the third data includes: Using global reanalysis data for driving, conduct meteorological and hydrological coupled simulation to generate long-term simulation data containing meteorological and hydrological parameters as the third data.

4. The method for evaluating the wind, light and water energy resources in the river valley area based on the numerical model according to claim 3, wherein, The production of the driving data required for offline simulation includes: Based on global reanalysis data, use spatial interpolation methods within the offline simulation area to produce the ground driving data required for offline simulation.

5. The method for evaluating the wind, light and water energy resources in the river valley area based on the numerical model according to claim 4, characterized in that, The production of the driving data required for offline simulation further includes: Within the overlapping area of the offline simulation area and the online simulation area, use the third data to replace the global reanalysis data.

6. The method for evaluating valley area wind-solar-hydro energy resources based on numerical models according to claim 5, wherein The conducting of offline simulation includes: Drive the WRF-Hydro model with the meteorological module turned off and only the hydrological process module, conduct offline simulation, and output long-term simulation data of the natural flow of the valley at hourly resolution.

7. The method for evaluating the wind-solar-hydro energy resources in the river valley area based on the numerical model according to claim 6, wherein The evaluation of the wind, light, and water energy resources in the valley area based on the results of online simulation and offline simulation includes: Use the surface downward solar radiation, near-surface wind speed from online simulation and the natural flow of the valley obtained from offline simulation as the final simulation results to evaluate the wind, light, and water energy resources in the valley area.

8. A system using the method for evaluating the wind, light and water energy resources in river valley areas based on numerical models as described in any one of claims 1 to 7, characterized in that, Comprising: Valley area division module, used to set up online and offline simulation areas based on the valley to be evaluated; Data preparation and processing module, used to obtain the first data, process it based on the online and offline simulation areas to obtain the second data; Online simulation module, used to conduct online simulation based on the second data to obtain the third data; Offline simulation module, used to produce the driving data required for offline simulation and conduct offline simulation based on the second data and the third data; Evaluation module, used to evaluate the wind, light, and water energy resources in the valley area based on the results of online simulation and offline simulation.

9. A computing device, comprising: A memory and a processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the method for evaluating wind, light, and water energy resources in the valley area based on a numerical model according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are executed by a processor, the steps of the method for evaluating wind, light, and water energy resources in the valley area based on a numerical model according to any one of claims 1 to 7 are implemented.

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