A method, apparatus, and computer equipment for assessing new energy sources in mountainous and valley regions.

Abstract

This invention relates to the field of new energy development technology and discloses a new energy assessment method, device, and computer equipment based on mountainous valley regions. This invention targets new energy development areas in mountainous valley terrain and, using meteorological and hydrological coupling software, comprehensively assesses the exploitable wind, solar, and hydropower resources within these areas. Areas not designated as new energy development areas (steep slope areas) are excluded, thereby improving the accuracy of the assessment results and ensuring that the results more accurately reflect the actual exploitable resource quantity. This provides accurate assessment data support for renewable energy development in mountainous valley regions with complex terrain, contributing to the formulation of reasonable energy policies and long-term development plans.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of new energy development, and particularly relates to a new energy evaluation method and device based on a mountain valley region and a computer device. BACKGROUND

[0002] The mountain valley region is rich in water energy resources, wind energy resources and solar energy resources. However, due to the complex terrain of the mountain valley region, the development of the wind, light and water energy resources in these regions faces great challenges. The regions with large slopes are not suitable for installing solar panels and wind turbines and other power generation equipment, and the renewable energy in these regions is difficult to be exploited. The renewable energy evaluation method in the related art often fails to fully consider the influence of the non-developable terrain region in the mountain valley region on the exploitable amount of energy. SUMMARY

[0003] Therefore, the present application provides a new energy evaluation method and device based on a mountain valley region and a computer device to solve the problem that the renewable energy evaluation method in the related art often fails to fully consider the influence of the non-developable terrain region in the mountain valley region on the exploitable amount of energy.

[0004] According to a first aspect, the present application provides a new energy evaluation method based on a mountain valley region, which comprises the following steps.

[0005] Obtaining a target evaluation region of a mountain valley terrain simulated by a meteorological and hydrological coupling software;

[0006] Based on the target evaluation region, generating terrain grid data by the meteorological and hydrological coupling software;

[0007] Under the condition that the target evaluation region is determined to be a new energy development region based on the terrain grid data, obtaining the average solar energy resource density, the average wind power density and the grid area on each grid in the new energy development region;

[0008] Based on the average solar energy resource density, the average wind power density and the grid area on each grid in the new energy development region, calculating the total amount of wind and light energy development of the target evaluation region;

[0009] Calculating the total amount of water energy development at the valley outlet in the target evaluation region by the meteorological and hydrological coupling software.

[0010] By implementing the above-described embodiments, this invention comprehensively assesses the exploitable wind, solar, and hydropower resources in mountainous and valley terrain by combining meteorological and hydrological coupling software. Areas not belonging to the new energy development area (steep slope areas) are excluded, thereby improving the accuracy of the new energy assessment results and ensuring that the assessment results can more realistically reflect the actual exploitable resource quantity. This provides accurate assessment data support for the development of renewable energy in mountainous and valley areas with complex terrain, and helps to formulate reasonable energy policies and long-term development plans.

[0011] In one optional implementation, the conditions for determining that the target assessment area is a new energy development area include:

[0012] According to the preset judgment strategy, each grid in the terrain grid data is judged sequentially to determine whether it is a new energy development grid;

[0013] Obtain the judgment result of each grid according to the preset judgment strategy each time;

[0014] Based on the determination results of each grid, all grids that are counted as new energy development grids in the terrain grid data are included;

[0015] All grids of the new energy development grid are considered as the new energy development area.

[0016] By implementing the above methods, it is beneficial to determine whether each grid in the terrain grid data is a developable new energy development grid according to a preset judgment strategy, thereby statistically identifying new energy development areas and excluding areas that do not belong to new energy development areas (slope areas). This allows for targeted new energy development in mountainous and valley areas, thereby improving the accuracy of new energy assessment results and ensuring that the assessment results can more realistically reflect the actual amount of developable resources.

[0017] In one optional implementation, determining whether each grid in the terrain grid data is a new energy development grid according to a preset determination strategy includes:

[0018] Use each grid in the terrain grid data as the target grid;

[0019] Multiple adjacent grids are selected from the terrain grid data, centered on the target grid.

[0020] Acquire the first elevation data of each adjacent grid, the second elevation data of the target grid, the first center position of each adjacent grid and the second center position of the target grid;

[0021] Based on the first elevation data of each adjacent grid, the second elevation data of the target grid, the first center position of each adjacent grid and the second center position of the target grid, the target slope value of the target grid is calculated.

[0022] If the target slope value of the target grid is less than or equal to the preset slope threshold, then the target grid is a new energy development grid.

[0023] If the target slope value of the target grid is greater than the preset slope threshold, the target grid is discarded.

[0024] By implementing the above methods, based on the same preset judgment strategy, it is possible to determine in turn whether each grid in the terrain grid data is a new energy development grid, which is beneficial for accurately assessing the total amount of new energy development for each terrain in the target assessment area of ​​mountainous and valley terrain.

[0025] In one optional implementation, based on the first elevation data of each adjacent grid, the second elevation data of the target grid, the first center position of each adjacent grid, and the second center position of the target grid, the target slope value of the target grid is calculated, including:

[0026] Based on the first elevation data of each adjacent grid and the second elevation data of the target grid, the absolute value of the difference between the two is calculated to obtain the calibration value of each adjacent grid;

[0027] Calculate the center distance between each adjacent grid and the target grid based on the first center position of each adjacent grid and the second center position of the target grid.

[0028] The quotient between the calibration value of each adjacent grid and the center distance is taken as the calibration slope value corresponding to that adjacent grid.

[0029] Select the maximum value from the calibrated slope values ​​corresponding to each adjacent grid as the target slope value of the target grid.

[0030] By implementing the above methods, it is possible to determine whether each grid in the terrain grid data is a new energy development grid based on a preset judgment strategy. This is beneficial for accurately assessing the total amount of new energy development for each terrain in the target assessment area of ​​mountainous and valley terrain.

[0031] In one optional implementation, the total wind and solar energy development volume of the target assessment area is calculated based on the average solar resource density, average wind power density, and grid area of ​​each grid in the new energy development area, including:

[0032] Based on the average solar energy resource density, average wind power density, and grid area of ​​each grid in the new energy development area, calculate the total amount of wind and solar energy development for each grid in the new energy development area;

[0033] The total wind and solar energy development volume in each grid of the new energy development area is accumulated;

[0034] The sum of the total wind and solar energy development in each grid of the new energy development area is taken as the total wind and solar energy development in the target assessment area.

[0035] In one optional implementation, obtaining the average solar resource density on each grid in the new energy development area includes:

[0036] Using meteorological and hydrological coupling software, the hourly simulation of surface-downward solar radiation, the total simulation duration of surface-downward solar radiation, and the annual simulation duration were obtained for each grid in the new energy development area.

[0037] Based on the hourly simulations of surface-down solar radiation, the total simulation duration of surface-down solar radiation, and the annual simulation duration in each grid of the new energy development area, the average solar energy resource density in each grid of the new energy development area is calculated.

[0038] In one optional implementation, obtaining the average wind power density on each grid in the new energy development area includes:

[0039] Using meteorological and hydrological coupling software, the near-surface wind speed, air pressure, mixing ratio, and actual temperature are obtained in each grid in the new energy development area on an hourly basis, and the hourly wind power density is calculated.

[0040] Obtain the total simulation duration and annual simulation duration for hourly near-surface wind speed simulation in each grid within the new energy development area;

[0041] The average wind power density of each grid in the new energy development area is calculated based on the hourly wind power density, the total simulation time for hourly near-surface wind speed simulation in each grid of the new energy development area, and the annual simulation time.

[0042] According to a second aspect, this disclosure provides a new energy assessment device based on mountainous and valley areas, the device comprising:

[0043] The target assessment area simulation module is used to obtain the target assessment area for simulating mountain and valley terrain using meteorological and hydrological coupling software.

[0044] The terrain grid data generation module is used to generate terrain grid data based on the target assessment area using meteorological and hydrological coupling software.

[0045] The energy development data acquisition module is used to acquire the average solar energy resource density, average wind power density, and grid area of ​​each grid in the new energy development area, based on the determination that the target assessment area is a new energy development area according to the terrain grid data.

[0046] The total wind and solar energy acquisition module is used to calculate the total wind and solar energy development in the target assessment area based on the average solar resource density, average wind power density, and grid area of ​​each grid in the new energy development area.

[0047] The total hydropower resources acquisition module is used to calculate the total hydropower resources available for development at the valley outlet in the target assessment area using meteorological and hydrological coupling software.

[0048] According to a third aspect, embodiments of this disclosure provide a computer device, including:

[0049] The memory and processor are interconnected and communicate with each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the new energy assessment method based on mountainous valley areas in the first aspect or any embodiment of the first aspect.

[0050] According to a fourth aspect, embodiments of this disclosure provide a computer-readable storage medium storing computer instructions for causing a computer to execute the new energy assessment method based on mountainous and valley regions according to the first aspect or any embodiment of the first aspect.

[0051] According to a fifth aspect, this disclosure provides a computer program product, including computer instructions for causing a computer to execute the new energy assessment method based on mountainous and valley regions in the first aspect or any embodiment of the first aspect. Attached Figure Description

[0052] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0053] Figure 1 This is a flowchart illustrating a new energy assessment method based on mountainous and valley regions according to an embodiment of the present invention.

[0054] Figure 2 This is a flowchart illustrating another new energy assessment method based on mountainous and valley regions according to an embodiment of the present invention;

[0055] Figure 3 This is a schematic diagram of terrain grid data according to an embodiment of the present invention;

[0056] Figure 4 This is a flowchart of another new energy assessment method based on mountainous valley areas according to an embodiment of the present invention;

[0057] Figure 5 This is a flowchart of another new energy assessment method based on mountainous valley areas according to an embodiment of the present invention;

[0058] Figure 6 This is a structural block diagram of a new energy assessment device based on mountainous and valley areas according to an embodiment of the present invention;

[0059] Figure 7 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0061] According to an embodiment of the present invention, a new energy assessment method based on mountainous valley areas is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0062] This embodiment provides a new energy assessment method based on mountainous and valley regions, which can be used on mobile terminals such as mobile phones and tablets. Figure 1 This is a flowchart of a new energy assessment method based on mountainous and valley regions according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps:

[0063] Step S101: Obtain the target assessment area for simulating mountain and valley terrain using meteorological and hydrological coupling software.

[0064] Specifically, the meteorological-hydrological coupling software in this embodiment can be WRF-Hydro software, which supports high-resolution numerical models and can improve the accuracy of the assessment. Since related technologies often fail to fully consider the impact of undevelopable areas (terrain slope) in mountainous valley regions on the amount of new energy development, this embodiment uses WRF-Hydro software to simulate mountainous valley topography and conducts long-term simulations of the mountainous valleys and their surrounding areas to determine the target assessment area for the mountainous valley topography.

[0065] Step S102: Based on the target assessment area, generate terrain grid data using meteorological and hydrological coupling software.

[0066] For example, the WRF-Hydro software was used to conduct a long-term simulation of the mountain valley and its surrounding areas to obtain hourly resolution data on near-surface air temperature, near-surface air pressure, near-surface wind speed, downward solar radiation from the surface, and natural river flow. All of these data belong to the terrain grid data.

[0067] Specifically, the WRF-Hydro software can divide mountainous valley areas into grids, and by using high-precision terrain data, the maximum slope value of each grid can be determined.

[0068] Step S103: Under the condition that the target evaluation area is determined to be a new energy development area based on the terrain grid data, obtain the average solar energy resource density, average wind power density, and grid area of ​​each grid in the new energy development area.

[0069] Specifically, in this embodiment, the new energy development area is a region suitable for installing new energy power generation equipment, and this new energy development area is also a non-steep slope area. If the target assessment area is determined not to be a new energy development area, it indicates that the area is not suitable for installing new energy development equipment and can be excluded.

[0070] Step S104: Calculate the total amount of wind and solar energy development in the target assessment area based on the average solar energy resource density, average wind power density, and grid area of ​​each grid in the new energy development area.

[0071] Specifically, in new energy development areas (non-steep slope areas), hourly resolution near-surface wind speed and downward solar radiation data can be obtained through long-term simulation using WRF-Hydro software, thereby assessing and calculating the exploitable amount of wind and solar energy resources.

[0072] Step S105: Calculate the total hydropower resources available for development at the valley outlet in the target assessment area using meteorological and hydrological coupling software.

[0073] Specifically, in the target assessment area, natural flow data and riverbed gradient in mountain valleys can be obtained through long-term simulation using WRF-Hydro software, thereby assessing and calculating the total exploitable hydropower resources.

[0074] For example, at the valley outlet of the target assessment area, the hourly natural flow rate Q (in m³) was simulated using WRF-Hydro software. 3 s -1 ), calculate the hourly hydropower E of the valley. h (Unit: W)

[0075] Eh =ρ w gQh

[0076] Where, ρ = 1000 kg m -3 Given the density of water, g = 9.8 mS / s. -2 Let h be the acceleration due to gravity, and h be the slope of the river valley (in meters).

[0077] Total exploitable hydropower resources in mountain valleys ( The unit W represents hourly hydropower E. h The average.

[0078]

[0079] Where g is the total simulation duration for hourly natural flow, 8765.82 is the annual simulation duration for hourly natural flow (an average of hours per year), and E h,i Let be the hourly water energy of the valley at time i.

[0080] The new energy assessment method based on mountain valley regions disclosed in this embodiment obtains a target assessment area by simulating the mountain valley terrain using meteorological-hydrological coupling software; based on the target assessment area, terrain grid data is generated using the meteorological-hydrological coupling software; under the condition that the target assessment area is determined to be a new energy development area, the average solar energy resource density, average wind power density, and grid area of ​​each grid in the new energy development area are obtained; based on the average solar energy resource density, average wind power density, and grid area of ​​each grid in the new energy development area, the total wind and solar energy development volume of the target assessment area is calculated; and the total hydropower resource development volume at the valley outlet of the target assessment area is calculated using the meteorological-hydrological coupling software. This invention targets new energy development areas in mountain valley terrain, and comprehensively assesses the wind, solar, and hydropower development resources in these development areas using meteorological-hydrological coupling software, excluding areas that do not belong to new energy development areas (slope areas), thereby improving the accuracy of the new energy assessment results and ensuring that the assessment results more realistically reflect the actual amount of developable resources.

[0081] This embodiment provides a new energy assessment method based on mountainous and valley regions, which can be used on mobile terminals such as mobile phones and tablets. Figure 2 This is a flowchart of a new energy assessment method based on mountainous and valley regions according to an embodiment of the present invention, such as... Figure 2 As shown, in step S103 above, the conditions for determining the target assessment area as a new energy development area are met. This process includes the following steps:

[0082] Step S201: Determine whether each grid in the terrain grid data is a new energy development grid according to the preset determination strategy.

[0083] Specifically, such as Figure 3 The image shown is a schematic diagram of local grid data in terrain grid data. Figure 3 Eight terrain grids are illustrated, with the center number of each grid representing its elevation. Figure 3 In this embodiment of the disclosure, the same preset determination strategy is used to determine in sequence whether grids ① through ⑨ are new energy development grids.

[0084] Step S202: Obtain the judgment result of each grid according to the preset judgment strategy each time.

[0085] Specifically, the same preset judgment strategy mentioned above is used for judgment. Figure 3 The system determines whether each grid is a new energy development grid and obtains the determination result for each grid.

[0086] Step S203: Based on the determination result of each grid, count all grids in the terrain grid data that are classified as new energy development grids.

[0087] Specifically, based on Figure 3 The determination results of each grid are used to statistically identify all grids that are classified as new energy development grids.

[0088] Step S204: Take all grids of the new energy development grid as the new energy development area.

[0089] Specifically, for example, in Figure 3 If grids ① through ⑨ are all determined to be new energy development grids, then all grids ① through ⑨ will be designated as new energy development areas.

[0090] The new energy assessment method based on mountainous valley areas in this embodiment of the present disclosure, by executing the above steps S201-S204, helps to determine whether each grid in the terrain grid data is a developable new energy development grid according to a preset judgment strategy, thereby statistically identifying new energy development areas, excluding areas that do not belong to new energy development areas (slope areas), and carrying out new energy development in mountainous valley areas in a targeted manner, thereby improving the accuracy of new energy assessment results and ensuring that the assessment results can more realistically reflect the actual amount of developable resources.

[0091] This embodiment provides a new energy assessment method based on mountainous and valley regions, which can be used on mobile terminals such as mobile phones and tablets. Figure 4 This is a flowchart of a new energy assessment method based on mountainous and valley regions according to an embodiment of the present invention, such as... Figure 4 As shown, step S201 above, according to a preset determination strategy, sequentially determines whether each grid in the terrain grid data is a new energy development grid, including:

[0092] Step S2011: Use each grid in the terrain grid data as the target grid.

[0093] Specifically, for example, in Figure 3 In the process of determining the new energy development grid for each grid in turn based on the preset determination strategy, each grid from grid ① to grid ⑨ in the terrain grid data can be taken as the target grid.

[0094] Step S2012: Select multiple adjacent grids from the terrain grid data with the target grid as the center.

[0095] Specifically, in Figure 3 For example, taking grid number 5 as an example, grid number 5 is... Figure 3 The central grid, also known as the target grid, is surrounded by grids ①, ②, ③, ④, ⑥, ⑦, ⑧, and ⑨, which are all adjacent grids.

[0096] Step S2013: Obtain the first elevation data of each adjacent grid, the second elevation data of the target grid, the first center position of each adjacent grid, and the second center position of the target grid.

[0097] Specifically, in Figure 3 For example, taking grid ⑤ as an example, the first elevation data corresponding to multiple adjacent grids ①, ②, ③, ④, ⑥, ⑦, ⑧, and ⑨ are obtained respectively. Figure 3 The diagram shows that the first elevation data corresponding to grid ① is 120, the first elevation data corresponding to grid ② is 108, the first elevation data corresponding to grid ③ is 102, the first elevation data corresponding to grid ④ is 110, the first elevation data corresponding to grid ⑥ is 90, the first elevation data corresponding to grid ⑦ is 101, the first elevation data corresponding to grid ⑧ is 95, and the first elevation data corresponding to grid ⑨ is 80.

[0098] Furthermore, in Figure 3 In the diagram, the second elevation corresponding to target grid number ⑤ is 100. Figure 3 In the middle, if the grid spacing is 1, then in Figure 3 In the diagram, the distance between the first center position of each adjacent grid and the second center position of the target grid is...

[0099] Step S2014: Calculate the target slope value of the target grid by taking the first elevation data of each adjacent grid, the second elevation data of the target grid, the first center position of each adjacent grid and the second center position of the target grid.

[0100] In an optional implementation, step S2014 above, which calculates the target slope value of the target grid based on the first elevation data, the second elevation data, the first center position, and the second center position, includes:

[0101] Step a1: Based on the first elevation data of each adjacent grid and the second elevation data of the target grid, calculate the absolute value of the difference between the two to obtain the calibration value of each adjacent grid.

[0102] Step a2: Calculate the center distance between the first center position of each adjacent grid and the second center position of the target grid.

[0103] Step a3: The quotient between the calibration value of each adjacent grid and the center distance is taken as the calibration slope value corresponding to that adjacent grid.

[0104] Step a4: Select the maximum value from the calibration slope values ​​corresponding to each adjacent grid as the target slope value of the target grid.

[0105] Specifically, in Figure 3 For example, taking grid ⑤ as the target grid, the absolute values ​​of the differences between the first elevation data corresponding to grids ①, ②, ③, ④, ⑥, ⑦, ⑧, and ⑨ and the second elevation data of target grid ⑤ are calculated respectively, and then the calibration values ​​corresponding to each adjacent grid ①, ②, ③, ④, ⑥, ⑦, ⑧, and ⑨ are obtained.

[0106] Furthermore, in Figure 3 In the terrain grid data, the inter-grid distance is 1. Therefore, the center distance between the first center position of each adjacent grid ①, ②, ③, ④, ⑥, ⑦, ⑧, ⑨ and the second center position of the target grid ⑤ is 1.

[0107] Furthermore, in Figure 3 In the diagram, the quotient between the calibration values ​​corresponding to grids ①, ②, ③, ④, ⑥, ⑦, ⑧, and ⑨ and the center distance is used as the marker slope value for each adjacent grid. For example, in... Figure 3 In the calculation, the formula for the quotient between grid ① and target grid ⑤ is:

[0108] Therefore, according to this calculation method, there are 8 calibration slope values. The maximum value among these 8 calibration slope values ​​is selected as the target slope value for target grid number ⑤.

[0109] Step S2015 If the target slope value of the target grid is less than or equal to the preset slope threshold, then the target grid is a new energy development grid.

[0110] Step S2016: If the target slope value of the target grid is greater than the preset slope threshold, then the target grid is discarded.

[0111] Specifically, the preset slope threshold in this embodiment is flexibly set according to actual application scenarios. In the terrain grid corresponding to mountainous and valley terrain, if the target slope value of the target grid is less than or equal to the preset slope threshold, then the target grid is a new energy development grid, indicating that the slope of the target grid meets the development requirements. Conversely, if the target slope value of the target grid is greater than the preset slope threshold, then the target grid does not belong to the new energy development grid, indicating that the slope of the target grid does not meet the development requirements.

[0112] The new energy assessment method based on mountainous valley regions in this embodiment of the present disclosure, by executing the above steps S2011-S2016, can sequentially determine whether each grid in the terrain grid data is a new energy development grid based on the same preset judgment strategy, which is conducive to accurately assessing the total amount of new energy development for each terrain in the target assessment area of ​​mountainous valley terrain.

[0113] This embodiment provides a new energy assessment method based on mountainous and valley regions, which can be used on mobile terminals such as mobile phones and tablets. Figure 5 This is a flowchart of a new energy assessment method based on mountainous and valley regions according to an embodiment of the present invention, such as... Figure 5 As shown, step S104 above calculates the total wind and solar energy development volume of the target assessment area based on the average solar resource density, average wind power density, and grid area of ​​each grid in the new energy development area, including:

[0114] Step S2041: Based on the average solar energy resource density, average wind power density, and grid area of ​​each grid in the new energy development area, calculate the total amount of wind and solar energy development in each grid in the new energy development area.

[0115] Specifically, for each exploitable new energy development grid within the target assessment area of ​​mountainous and valley terrain, the average wind and solar energy density on the grid will be calculated. With average solar energy resource density The sums are then multiplied by the grid area to obtain the total exploitable wind and solar energy resources on each exploitable new energy development grid.

[0116] Step S2042: Accumulate the total wind and solar energy development volume in each grid of the new energy development area.

[0117] Step S2043: The sum of the total wind and solar energy development in each grid of the new energy development area is taken as the total wind and solar energy development in the target assessment area.

[0118] Specifically, by summing up the total exploitable wind and solar energy resources in each exploitable new energy development grid within the target assessment area of ​​the mountainous and valley terrain, the total exploitable wind and solar energy resources (in W) within the target assessment area of ​​the mountainous and valley terrain can be obtained.

[0119] The new energy assessment method based on mountainous and valley areas in this embodiment calculates the total wind and solar energy development of each grid in the new energy development area by executing the above steps S2041-S2043. That is, it calculates the total wind and solar energy development of each terrain in the target assessment area by accumulating the total wind and solar energy development of the target assessment area.

[0120] In an optional implementation, step S103 above, obtaining the average solar resource density on each grid in the new energy development area, includes:

[0121] Step b1: Using meteorological and hydrological coupling software, obtain the surface-down solar radiation, the total duration of surface-down solar radiation, and the annual duration of the simulation on an hourly basis for each grid in the new energy development area.

[0122] Step b2: Based on the hourly simulation of surface-down solar radiation, the total simulation duration of surface-down solar radiation, and the annual simulation duration in each grid of the new energy development area, calculate the average solar energy resource density in each grid of the new energy development area.

[0123] Specifically, in each grid within the new energy development area, the simulated hourly downward solar radiation S at the Earth's surface is obtained using WRF-Hydro software. i (unit: W m) -2 Take the average and calculate the average solar energy resource density on the corresponding grid of the new energy development area. (unit: W m) -2 Specifically, it can be calculated using the following formula:

[0124]

[0125] Where n is the total simulated duration of solar radiation downwards from the Earth's surface, and 8765.82 is the annual simulated duration of solar radiation downwards from the Earth's surface (an average number of hours per year).

[0126] In another optional implementation, step S103 above, obtaining the average wind power density on each grid in the new energy development area, includes:

[0127] Step c1: Using meteorological and hydrological coupling software, obtain the near-surface wind speed, air pressure, mixing ratio, and actual temperature of each grid in the new energy development area for hourly simulation, and calculate the hourly wind power density.

[0128] Step c2: Obtain the total duration and annual duration of hourly simulation of near-surface wind speed in each grid of the new energy development area.

[0129] Step c3: Based on the hourly wind power density, the total duration of hourly simulation of near-surface wind speed in each grid of the new energy development area, and the annual duration, calculate the average wind power density in each grid of the new energy development area.

[0130] Specifically, in each grid within the new energy development area, the hourly near-surface wind speed v (unit: m / s) was simulated using WRF-Hydro software. -1 ), air pressure p (unit: Pa), mixing ratio r (unit: kg) -1 Given the actual temperature T (in K), calculate the hourly wind power density E. w (unit: W m) -2 Specifically, it can be calculated using the following formula:

[0131]

[0132] Where ρ is the air density (unit: kg m³) -3 ), R d =287.04JK -1 kg -1 T is the gas constant for dry air. v This is the virtual temperature (unit: K).

[0133] Based on this, the hourly wind power density E w The average wind power density in each grid within the new energy development area is calculated by averaging. Specifically, it can be calculated using the following formula:

[0134]

[0135] Where m is the total simulation duration of surface wind speed, 8765.82 is the annual simulation duration of near-surface wind speed (an average of hours per year), and this annual simulation duration of near-surface wind speed can be equal to the total simulation duration of solar radiation directed downwards from the Earth's surface, E w,i Let be the average wind power density at time i.

[0136] In summary, the new energy assessment method based on mountainous valley areas in this disclosure provides accurate assessment data support for the development of renewable energy in mountainous valley areas with complex terrain by considering the impact of terrain slope on wind, solar and hydropower development, which helps to formulate reasonable energy policies and long-term development plans.

[0137] This embodiment also provides a new energy assessment device based on mountainous and valley areas. This device is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0138] This embodiment provides a new energy assessment device based on mountainous and valley areas, such as... Figure 6 As shown, it includes:

[0139] The target assessment area simulation module 61 is used to obtain the target assessment area for simulating mountain and valley terrain using meteorological and hydrological coupling software.

[0140] The terrain grid data generation module 62 is used to generate terrain grid data based on the target assessment area using meteorological and hydrological coupling software.

[0141] The energy development data acquisition module 63 is used to acquire the average solar energy resource density, average wind power density, and grid area of ​​each grid in the new energy development area, under the condition that the target assessment area is determined to be a new energy development area based on terrain grid data;

[0142] The total wind and solar energy acquisition module 64 is used to calculate the total wind and solar energy development in the target assessment area based on the average solar energy resource density, average wind power density, and grid area of ​​each grid in the new energy development area.

[0143] The total hydropower resources acquisition module 65 is used to calculate the total hydropower resources available for development at the valley outlet in the target assessment area using meteorological and hydrological coupling software.

[0144] In one optional implementation, the energy development data acquisition module 63 determines the target assessment area as a new energy development area based on the following conditions:

[0145] A grid determination submodule was developed to determine whether each grid in the terrain grid data is a new energy development grid according to a preset determination strategy.

[0146] Each grid determination submodule is used to obtain the determination result of each grid according to a preset determination strategy.

[0147] Develop a grid statistics submodule to count all grids in the terrain grid data that are classified as new energy development grids based on the judgment results of each grid.

[0148] The development area determination submodule is used to define all grids of the new energy development grid as the new energy development area.

[0149] In one alternative implementation, developing the mesh determination submodule includes:

[0150] The target grid determination unit is used to identify each grid in the terrain grid data as the target grid.

[0151] Adjacent grid selection unit, used to select multiple adjacent grids from terrain grid data with the target grid as the center;

[0152] The grid data acquisition unit is used to acquire the first elevation data of each adjacent grid, the second elevation data of the target grid, the first center position of each adjacent grid and the second center position of the target grid;

[0153] The target slope calculation unit is used to calculate the target slope value of the target grid based on the first elevation data of each adjacent grid, the second elevation data of the target grid, the first center position of each adjacent grid and the second center position of the target grid.

[0154] A grid determination unit is developed to determine if the target grid is a new energy development grid if the target slope value of the target grid is less than or equal to a preset slope threshold.

[0155] The grid discard unit is used to discard a target grid if the target slope value of the target grid is greater than a preset slope threshold.

[0156] In one optional implementation, the target slope calculation unit includes:

[0157] The adjacent grid calibration sub-unit is used to calculate the absolute value of the difference between the first elevation data of each adjacent grid and the second elevation data of the target grid to obtain the calibration value of each adjacent grid.

[0158] The center distance calculation sub-cell is used to calculate the center distance between each adjacent grid and the target grid based on the first center position of each adjacent grid and the second center position of the target grid.

[0159] The calibration slope determination sub-unit is used to take the quotient between the calibration value of each adjacent grid and the center distance as the calibration slope value corresponding to that adjacent grid.

[0160] The target slope calculation sub-unit is used to select the maximum value from the calibration slope values ​​corresponding to each adjacent grid as the target slope value of the target grid.

[0161] In one alternative implementation, the energy development data acquisition module 63 includes:

[0162] The wind and solar energy calculation submodule is used to calculate the total wind and solar energy development volume of each grid in the new energy development area based on the average solar resource density, average wind power density, and grid area of ​​each grid in the new energy development area.

[0163] The wind and solar energy accumulation submodule is used to accumulate the total wind and solar energy development volume in each grid of the new energy development area.

[0164] The wind and solar energy determination submodule is used to sum up the total wind and solar energy development in each grid of the new energy development area as the total wind and solar energy development in the target evaluation area.

[0165] In one optional implementation, the wind and solar energy total acquisition module 64 includes:

[0166] The first acquisition submodule is used to acquire, through meteorological and hydrological coupling software, the hourly simulation of surface-downward solar radiation, the total simulation duration of surface-downward solar radiation, and the annual simulation duration for each grid in the new energy development area;

[0167] The first calculation submodule is used to calculate the average solar energy resource density of each grid in the new energy development area based on the hourly simulation of surface-down solar radiation, the total simulation duration of surface-down solar radiation, and the annual simulation duration in each grid in the new energy development area.

[0168] In one optional implementation, the wind and solar energy total acquisition module 64 includes:

[0169] The second calculation submodule is used to obtain the near-surface wind speed, air pressure, mixing ratio, and actual temperature of each grid in the new energy development area through meteorological and hydrological coupling software, and to calculate the hourly wind power density.

[0170] The second acquisition submodule is used to acquire the total simulation duration and annual simulation duration of hourly near-surface wind speed simulation in each grid of the new energy development area.

[0171] The third calculation submodule is used to calculate the average wind power density of each grid in the new energy development area based on the hourly wind power density, the total simulation time of hourly near-surface wind speed simulation in each grid in the new energy development area, and the annual simulation time.

[0172] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0173] In this embodiment, the new energy assessment device for mountainous and valley areas is presented in the form of functional units. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0174] This invention also provides a computer device having the aforementioned new energy assessment device for mountainous and valley areas.

[0175] Please see Figure 7 , Figure 7 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 7 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 7 Take a processor 10 as an example.

[0176] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0177] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0178] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0179] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0180] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0181] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0182] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0183] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for evaluating new energy based on a mountain valley region, characterized in that, The method comprises: acquiring a target evaluation area of a mountain valley terrain simulated by a meteorological hydrological coupling software; generating terrain grid data based on the target evaluation area by the meteorological hydrological coupling software; under the condition that the target evaluation area is determined to be a new energy development area based on the terrain grid data, acquiring average solar energy resource density, average wind power density, and grid area of each grid in the new energy development area; calculating total wind and solar energy development amount of the target evaluation area based on the average solar energy resource density, the average wind power density, and the grid area of each grid in the new energy development area; calculating total water energy resource development amount of a valley outlet in the target evaluation area by the meteorological hydrological coupling software; the condition that the target evaluation area is determined to be a new energy development area based on the terrain grid data comprises: determining whether each grid in the terrain grid data is a new energy development grid according to a preset determination strategy in sequence; acquiring a determination result of each grid determined according to the preset determination strategy each time; based on the determination result of each grid, counting all grids that are new energy development grids in the terrain grid data; regarding all grids of the new energy development grids as the new energy development area; determining whether each grid in the terrain grid data is a new energy development grid according to a preset determination strategy in sequence comprises: regarding each grid in the terrain grid data as a target grid; selecting a plurality of adjacent grids from the terrain grid data with the target grid as the center; acquiring first elevation data of each adjacent grid, second elevation data of the target grid, first center position of each adjacent grid, and second center position of the target grid; calculating a target slope value of the target grid based on the first elevation data of each adjacent grid, the second elevation data of the target grid, the first center position of each adjacent grid, and the second center position of the target grid; if the target slope value of the target grid is less than or equal to a preset slope threshold, the target grid is the new energy development grid; if the target slope value of the target grid is greater than the preset slope threshold, the target grid is discarded.

2. The method of claim 1, wherein, calculating a target slope value of the target grid based on the first elevation data of each adjacent grid, the second elevation data of the target grid, the first center position of each adjacent grid, and the second center position of the target grid comprises: calculating an absolute value of a difference between the first elevation data of each adjacent grid and the second elevation data of the target grid to obtain a calibration value of each adjacent grid based on the first elevation data of each adjacent grid and the second elevation data of the target grid; calculating a center distance between the first center position of each adjacent grid and the second center position of the target grid; regarding a quotient value between the calibration value of each adjacent grid and the center distance as a corresponding calibration slope value of the adjacent grid; selecting a maximum value from the corresponding calibration slope value of each adjacent grid as the target slope value of the target grid.

3. The method of claim 1, wherein, calculating total wind and solar energy development amount of the target evaluation area based on the average solar energy resource density, the average wind power density, and the grid area of each grid in the new energy development area comprises: The total amount of wind-solar energy development in each grid in the new energy development region is calculated based on the average solar energy resource density, the average wind power density, and the grid area in each grid in the new energy development region. The total amount of wind-solar energy development in each grid in the new energy development region is accumulated. The accumulated result of the total amount of wind-solar energy development in each grid in the new energy development region is taken as the total amount of wind-solar energy development in the target evaluation region.

4. The method of claim 1, wherein, The average solar energy resource density in each grid in the new energy development region is obtained, including: The surface downward solar radiation amount, the total simulation time length, and the annual simulation time length of hourly simulation in each grid in the new energy development region are obtained by the meteorological and hydrological coupling software. The average solar energy resource density in each grid in the new energy development region is calculated based on the surface downward solar radiation amount, the total simulation time length, and the annual simulation time length of hourly simulation in each grid in the new energy development region.

5. The method of claim 1, wherein, The average wind power density in each grid in the new energy development region is obtained, including: The near-surface wind speed, air pressure, mixing ratio, and actual temperature of hourly simulation in each grid in the new energy development region are obtained by the meteorological and hydrological coupling software, and the hourly wind power density is calculated. The total simulation time length and the annual simulation time length of the near-surface wind speed of hourly simulation in each grid in the new energy development region are obtained. The average wind power density in each grid in the new energy development region is calculated based on the hourly wind power density, the total simulation time length, and the annual simulation time length of the near-surface wind speed of hourly simulation in each grid in the new energy development region.

6. A new energy evaluation device based on mountain valley regions, characterized in that, The device includes: A target evaluation region simulation module is configured to obtain a target evaluation region of a mountain valley terrain simulated by a meteorological and hydrological coupling software. A terrain grid data generation module is configured to generate terrain grid data based on the target evaluation region by the meteorological and hydrological coupling software. An energy development data acquisition module is configured to, under the condition that the target evaluation region is determined as a new energy development region based on the terrain grid data, obtain the average solar energy resource density, the average wind power density, and the grid area in each grid in the new energy development region. A total amount of wind-solar energy acquisition module is configured to calculate the total amount of wind-solar energy development in the target evaluation region based on the average solar energy resource density, the average wind power density, and the grid area in each grid in the new energy development region. A total amount of water energy resource acquisition module is configured to calculate the total amount of water energy resource development at the valley outlet in the target evaluation region by the meteorological and hydrological coupling software. The condition that the energy development data acquisition module determines the target evaluation region as a new energy development region includes: A development grid determination submodule is configured to determine whether each grid in the terrain grid data is a new energy development grid according to a preset determination strategy. Each grid determination submodule is configured to obtain a determination result of each grid determined according to the preset determination strategy each time. A development grid statistics submodule is configured to count all the grids that are new energy development grids in the terrain grid data based on the determination result of each grid. The development area determining sub-module is configured to take all grids of the new energy development grid as new energy development areas; The development grid determining sub-module comprises: A target grid determining unit configured to take each grid in the terrain grid data as a target grid; An adjacent grid selecting unit configured to select a plurality of adjacent grids from the terrain grid data with the target grid as the center; A grid data obtaining unit configured to obtain first elevation data of each adjacent grid, second elevation data of the target grid, a first center position of each adjacent grid, and a second center position of the target grid; A target slope calculating unit configured to calculate a target slope value of the target grid based on the first elevation data of each adjacent grid, the second elevation data of the target grid, the first center position of each adjacent grid, and the second center position of the target grid; A development grid determining unit configured to determine the target grid as a new energy development grid if the target slope value of the target grid is less than or equal to a preset slope threshold value; A grid discarding unit configured to discard the target grid if the target slope value of the target grid is greater than the preset slope threshold value.

7. A computer device, characterized by The method comprises: A memory and a processor, which are in communication connection with each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the method for evaluating new energy based on a mountain valley area according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for causing a computer to execute the method for evaluating new energy based on a mountain valley area according to any one of claims 1 to 5.

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