CN116187807A - Photovoltaic power generation amount evaluation method, device, computer equipment, medium and product - Google Patents
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Abstract
The application relates to a photovoltaic power generation amount evaluation method, a photovoltaic power generation amount evaluation device, a photovoltaic power generation amount evaluation computer device, a photovoltaic power generation amount evaluation medium and a photovoltaic power generation amount evaluation product. The method comprises the following steps: acquiring a building layer corresponding to building contour data of a preset area; removing invalid buildings and invalid areas on the buildings from the building layers to obtain initial building effective areas; the initial building effective area is used to indicate the effective area of the building roof; calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor; and evaluating the photovoltaic power generation capacity of a preset area according to the effective area of the target building. According to the method, the calculation process and the calculation difficulty are simplified in the step of calculating the effective area of the target building, so that the photovoltaic power generation amount in the preset area is estimated according to the simplified calculated effective area of the target building, and the estimation process and the estimation difficulty of the photovoltaic power generation amount in the preset area can be simplified.
Description
Technical Field
The application relates to the technical field of photovoltaic power generation, in particular to a photovoltaic power generation amount evaluation method, a device, computer equipment, a medium and a product.
Background
Photovoltaic power generation is a novel power generation form for directly converting solar radiation energy into electric energy. With the development of photovoltaic power generation technology, more and more areas are laying out photovoltaic panels on roofs of buildings to use the photovoltaic panels on the roofs to obtain electric energy. Therefore, it is necessary to evaluate the photovoltaic power generation potential of buildings in a certain area. Wherein, the evaluation of the photovoltaic power generation potential mainly comprises the evaluation of the power generation capacity of photovoltaic panels laid out on a building roof.
In the conventional technology, the effective area of a building roof in a certain area is calculated based on an image processing technology, so that the generated energy of a photovoltaic panel in the area is estimated according to the effective area of the building roof.
However, the method for evaluating the power generation amount of the photovoltaic panel in a certain area by adopting the image processing technology has the problems of complex evaluation process and high calculation difficulty.
Disclosure of Invention
Based on the above, it is necessary to provide a photovoltaic power generation amount evaluation method, apparatus, computer device, medium and product capable of simplifying the evaluation process and the calculation difficulty, in view of the above technical problems.
In a first aspect, the present application provides a photovoltaic power generation amount evaluation method. The method comprises the following steps:
Acquiring a building layer corresponding to building contour data of a preset area;
removing invalid buildings and invalid areas on the buildings from the building layers to obtain initial building effective areas; the initial building effective area is used for indicating the effective area of a building roof;
calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor;
and evaluating the photovoltaic power generation capacity of the preset area according to the effective area of the target building.
In one embodiment, the void building comprises a target building; the target building is used for indicating a building with a protection value; the removing the invalid building and the invalid area on the building from the building layer to obtain the initial building effective area comprises the following steps:
removing the target building from the building layer by adopting an interest surface recognition algorithm to obtain an effective building set;
and removing building shadow areas from each effective building in the effective building set by adopting a mountain shadow algorithm to obtain an initial building effective area.
In one embodiment, the removing the target building from the building layer by using the interest surface recognition algorithm to obtain an effective building set includes:
Determining a point of interest and a first interest surface from the building layer; the interest points are used for representing point-shaped elements of the target building, and the first interest surfaces are used for representing first type plane-shaped elements of the target building;
taking a buffer zone in a preset range around the interest point as a second interest surface; the second interest surface is used for representing a second class of planar elements of the target building;
generating the target building according to the first interest surface and the second interest surface;
and removing the target building from the building layer to obtain the effective building set.
In one embodiment, the removing building shadow areas from each of the effective buildings in the set of effective buildings by using a mountain shadow algorithm to obtain an initial building effective area includes:
for each effective building in the effective building set, converting vector data of the effective building into raster data to obtain an elevation distribution diagram of the effective building; the elevation distribution map comprises grids;
acquiring light source irradiation angle data, inputting the raster data of the effective building and the light source irradiation angle data into a mountain shadow algorithm for simulation, and generating raster values of grids in an elevation distribution diagram of the effective building;
Determining the building shadow area of the effective building according to the grid value of each grid in the effective building;
and removing the building shadow area of each effective building from each effective building to obtain the initial building effective area.
In one embodiment, the effective area impact factors include non-building shading impact coefficients and availability coefficients for different types of buildings; calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor, including:
acquiring the non-building shadow influence coefficients and the availability coefficients of the different types of buildings;
classifying the effective areas of the initial buildings according to building types to obtain target building types corresponding to the effective areas of the initial buildings;
obtaining a target availability coefficient corresponding to the target building type according to the target building type corresponding to the initial building effective area;
and calculating the effective area of the target building according to the effective area of the initial building, the non-building shadow influence coefficient and the target availability coefficient corresponding to the target building type.
In one embodiment, the obtaining the non-building shading coefficient comprises:
acquiring floors of buildings and normalized vegetation indexes in the effective area of the initial building; the normalized vegetation index is used for characterizing non-building shadows;
calculating the non-building shadow influence intensity according to the floors of the building in the effective area of the initial building and the normalized vegetation index; the non-building shadow influence intensity is used for representing the influence intensity of a non-building on the effective area of a target building;
and carrying out interpolation processing on the non-building shadow influence intensity to generate the non-building shadow influence coefficient.
In one embodiment, the estimating the photovoltaic power generation amount of the preset area according to the effective area of the target building includes:
calculating the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel and the shielding coefficient of the photovoltaic panel according to the light source radiation parameter, the meteorological parameter and the installation parameter of the photovoltaic panel on the building roof in a preset time period;
calculating a temperature correction coefficient of the photovoltaic panel according to the peak power temperature coefficient of the photovoltaic panel and the ambient temperature of the position where the photovoltaic panel is positioned;
And evaluating the photovoltaic power generation capacity of the preset area according to the effective area of the target building, the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel, the shielding coefficient of the photovoltaic panel and the temperature correction coefficient of the photovoltaic panel.
In a second aspect, the present application also provides a photovoltaic power generation amount evaluation device. The device comprises:
the data acquisition module is used for acquiring a building layer corresponding to building contour data of a preset area;
the initial building effective area acquisition module is used for removing invalid buildings and invalid areas on the buildings from the building layers to obtain initial building effective areas; the initial building effective area is used for indicating the effective area of a building roof;
the target building effective area calculating module is used for calculating the effective area of the target building according to the initial building effective area and the effective area influence factor;
and the photovoltaic power generation amount evaluation module is used for evaluating the photovoltaic power generation amount of the preset area according to the effective area of the target building.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the steps of the method in any of the embodiments of the first aspect described above when the processor executes the computer program.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method in any of the embodiments of the first aspect described above.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, implements the steps of the method in any of the embodiments of the first aspect described above.
The photovoltaic power generation amount evaluation method, the photovoltaic power generation amount evaluation device, the computer equipment, the medium and the product acquire building layers corresponding to building contour data of a preset area; removing invalid buildings and invalid areas on the buildings from the building layers to obtain initial building effective areas; the initial building effective area is used to indicate the effective area of the building roof; calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor; and evaluating the photovoltaic power generation capacity of a preset area according to the effective area of the target building. Firstly, the method and the device can directly acquire the building layer corresponding to the building contour data of the preset area, and solve the problem of high information acquisition difficulty caused by acquiring a large amount of high-precision sensing data in the traditional method. And then, removing the invalid buildings and the invalid areas on the buildings from the building layers to obtain the effective areas of the initial buildings, and calculating the effective areas of the target buildings according to the effective areas of the initial buildings and the effective area influence factors. The calculation process of the effective area of the target building can perform data processing only by using a GB-level data set; in the traditional method, the process of calculating the effective area of the target building by adopting the image processing technology can process data by using a data set exceeding 100GB level, and the process needs to perform operations such as cloud removal, correction and the like on a large amount of high-precision sensing data, so that the calculation process and the calculation difficulty are simplified in the step of calculating the effective area of the target building. Therefore, the calculation process and the calculation difficulty are simplified in the step of calculating the effective area of the target building, and the evaluation process and the evaluation difficulty of the photovoltaic power generation amount in the preset area can be simplified by evaluating the photovoltaic power generation amount in the preset area according to the simplified and calculated effective area of the target building.
Drawings
FIG. 1 is a diagram of an application environment for a photovoltaic power generation amount evaluation method in one embodiment;
FIG. 2 is a flow chart of a photovoltaic power generation amount evaluation method in one embodiment;
FIG. 3 is a flow chart of the initial building active area acquisition step in one embodiment;
FIG. 4 is a flow diagram of an active building set generation step in one embodiment;
FIG. 5 is a flow chart of the initial building active area generation step in one embodiment;
FIG. 6 is a flow chart of the target building effective area calculation step in one embodiment;
FIG. 7 is a flow chart of an effective area influencing factor acquisition step in one embodiment;
FIG. 8 is a flow chart of photovoltaic power generation assessment steps in one embodiment;
FIG. 9 is a flow chart of a photovoltaic power generation amount evaluation method in one embodiment;
FIG. 10 is a block diagram of a photovoltaic power generation amount evaluation apparatus in one embodiment;
FIG. 11 is an internal block diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Photovoltaic power generation is a novel power generation form for directly converting solar radiation energy into electric energy. With the development of photovoltaic power generation technology, more and more areas are laying out photovoltaic panels on roofs of buildings to use the photovoltaic panels on the roofs to obtain electric energy. Therefore, it is necessary to evaluate the photovoltaic power generation potential of buildings in a certain area. Wherein, the evaluation of the photovoltaic power generation potential mainly comprises the evaluation of the power generation capacity of photovoltaic panels laid out on a building roof.
In the conventional technology, the effective area of a building roof in a certain area is calculated based on an image processing technology, so that the generated energy of a photovoltaic panel in the area is estimated according to the effective area of the building roof.
However, the method for evaluating the power generation amount of the photovoltaic panel in a certain area by adopting the image processing technology has the problems of complex evaluation process and high calculation difficulty.
The photovoltaic power generation amount evaluation method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The server 104 obtains a building layer corresponding to building contour data of a preset area from the terminal 102; server 104 removes the invalid buildings and the invalid areas on the buildings from the building layer to obtain the initial building effective area; the initial building effective area is used to indicate the effective area of the building roof; the server 104 calculates the effective area of the target building according to the effective area of the initial building and the effective area influence factor; and evaluating the photovoltaic power generation capacity of a preset area according to the effective area of the target building. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, a photovoltaic power generation amount evaluation method is provided, and the method is applied to the server 104 in fig. 1 for illustration, and includes the following steps:
step 220, obtaining a building layer corresponding to the building contour data of the preset area.
Alternatively, the server 104 may directly obtain building contour data of a preset area from the terminal 102, and a building layer corresponding to the building contour data of the preset area; the server 104 may also obtain building contour data of a preset area from a public channel (such as a web page), and a building layer corresponding to the building contour data of the preset area. The preset area is an area where photovoltaic power generation amount evaluation is required. Building contour data refers to building vector data carrying height information and is stored in a shape format, wherein shape is a vector graphic format used for storing the position and related attributes of a building. The building layer is a composite layer representing a building or a collection of structures as layer information, the building layer corresponding to building contour data.
Specifically, the server 104 may determine the invalid buildings and the invalid areas on the buildings from the building map layer corresponding to the building contour data of the preset area, and remove the invalid buildings and the invalid areas on the buildings from the building map layer, so as to obtain the remaining areas in the building map layer, that is, the effective areas of the initial buildings. Wherein the initial building active area is used to indicate the active area of the building roof. Optionally, the server 104 may determine, through an interest surface recognition algorithm, an invalid building and an invalid area on the building from a building layer corresponding to building contour data of a preset area; the server 104 can also determine invalid buildings and invalid areas on the buildings from building layers corresponding to building contour data of a preset area through a mountain shadow algorithm; the server 104 may also determine, by using an interest surface recognition algorithm and a mountain shadow algorithm, an invalid building and an invalid area on the building from a building layer corresponding to building contour data of a preset area.
Specifically, the server 104 may calculate the effective area influence factor in advance according to the preset parameters, and then calculate the effective area of the target building according to the initial building effective area and the effective area influence factor. The preset parameters are parameters related to the effective area of the building, and are also parameters needed to be used when the effective area influence factors are calculated. The effective area influence factor is an influence coefficient that affects the effective area of the building. The effective area of the target building is a technical index for measuring the construction scale of the building and is related to the use area of the building and the availability factor of the building.
And step 280, evaluating the photovoltaic power generation capacity of the preset area according to the effective area of the target building.
Specifically, the server 104 may acquire the preset climate parameters of the preset time period in the preset area using a high resolution global climate model (geo-5), and then evaluate the photovoltaic power generation amount in the preset area according to the target building effective area and the selected preset climate parameters of the preset time period in the preset area. Wherein a high resolution global climate model (geo-5) is used for simulation of global climate. The preset time period is a selected time period in which photovoltaic power generation amount evaluation is required. The preset climate parameters refer to climate parameters measured within a preset time period in a preset region. The photovoltaic power generation amount in the preset area refers to the power generation amount generated by using photovoltaic power generation in the preset area in a preset time period.
In the photovoltaic power generation amount evaluation method, a building layer corresponding to building contour data of a preset area is obtained; removing invalid buildings and invalid areas on the buildings from the building layers to obtain initial building effective areas; the initial building effective area is used to indicate the effective area of the building roof; calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor; and evaluating the photovoltaic power generation capacity of a preset area according to the effective area of the target building. Firstly, the method and the device can directly acquire the building layer corresponding to the building contour data of the preset area, and solve the problem of high information acquisition difficulty caused by acquiring a large amount of high-precision sensing data in the traditional method. And then, removing the invalid buildings and the invalid areas on the buildings from the building layers to obtain the effective areas of the initial buildings, and calculating the effective areas of the target buildings according to the effective areas of the initial buildings and the effective area influence factors. The calculation process of the effective area of the target building only needs to
Data processing can be performed using a data set of GB level; whereas the process of calculating the effective area of the target building 5 using image processing techniques in the conventional method requires the use of data sets in excess of 100GB level to perform data processing, and this process requires the use of a set of data
The cloud removing, correcting and other operations are carried out on a large amount of high-precision sensing data, so that the calculation steps of the effective area of the target building simplify the calculation process and the calculation difficulty. Therefore, the calculation process and the calculation difficulty are simplified in the step of calculating the effective area of the target building, and the evaluation process and the evaluation difficulty of the photovoltaic power generation amount in the preset area can be simplified by evaluating the photovoltaic power generation amount in the preset area according to the simplified and calculated effective area of the target building.
0 in one embodiment, as shown in fig. 3, the null building comprises a target building; target building for indicating protection
Building of value; removing the void building and void area on the building from the building floor to obtain an initial building active area, comprising:
and 320, removing the target building from the building layer by adopting an interest surface recognition algorithm to obtain an effective building set.
Specifically, because the invalid building includes the target building, the server 104 may use the interest surface recognition algorithm, 5 to determine the target building from the building layer corresponding to the building contour data of the preset area. Thereafter, removing from the building layer
In addition to the determined target building (i.e., the invalid building), the remaining areas in the building layer excluding the target building, i.e., the valid building set, are obtained. Wherein, the target building is used for indicating the building with the protection value, and the target building refers to the building with the historical cultural value or the characteristic meaning, such as the historical building, the aesthetic building and the like. Due to the inappropriately arranged photovoltaic on the target building
The panels, therefore, require removal of the protective building. The interest surface recognition algorithm is a method for recognizing an interest region of 0 in a building layer by setting an interest surface. An effective building set refers to a building in which photovoltaic panels can be laid out in addition to the target building.
And 340, removing building shadow areas from each effective building in the effective building set by adopting a mountain shadow algorithm to obtain an initial building effective area.
Specifically, server 104 may determine 5 building shadow areas from each of the active buildings in the set of active buildings using a mountain shadow algorithm. Thereafter, the determined building shadow is removed from each of the active buildings in the collection of active buildings
The product (i.e., the inactive area on the building) results in the remaining area of each active building in the active building set, excluding the building shadow area, i.e., the initial building active area. The hillshadow algorithm (hillshadow) is a method for performing building shadow simulation by simulating contrast of light and shade caused by irradiation of sunlight on a terrain to render a terrain map. Building construction
The shadow area refers to the area of the area shielded from each other between the buildings. The initial building effective area is used to indicate the effective 0 area of the building roof.
In the embodiment, an interest surface recognition algorithm is adopted to remove a target building from a building layer, so that an effective building set is obtained; and removing building shadow areas from each effective building in the effective building set by adopting a mountain shadow algorithm to obtain the initial building effective area. By adopting the interest surface recognition algorithm and the mountain shadow algorithm, invalid buildings in the building layers and invalid areas on the buildings can be removed, so that the effective area of the initial building which does not influence photovoltaic power generation is obtained.
5 in one embodiment, as shown in fig. 4, a face of interest recognition algorithm is used to remove the target building from the building layer,
obtaining an effective building set comprising:
step 420, determining a point of interest and a first interest surface from a building layer; the interest points are used for representing point-shaped elements of the target building, and the first interest surfaces are used for representing first-class planar elements of the target building.
Specifically, the server 104 may determine the point of interest and the first interest surface from the building layer. Wherein the point of interest (Point of Interest, POI) is a selected useful or interesting place, the point of interest comprising the geographic coordinates of the place and additional attributes of the place (such as place name and place category), the point of interest being used to characterize the punctual elements of the target building. An area of interest (AOI), also called an information plane, refers to a regional geographic entity in map data. The first interest surface is used to characterize a first type of planar element of the target building.
Specifically, according to the distribution of the points of interest in the building layer, the server 104 may select a preset range around the points of interest as the buffer area, and then use the buffer area of the preset range around the points of interest as the second interest surface. The buffer area refers to an influence range or a service range of a space target, and specifically refers to a polygonal area with a certain width which is built around point, line and plane entities. Buffers include a wide variety of shapes, for example, buffers for point objects may be triangular, rectangular, diamond-shaped, and the like. In this embodiment of the present application, the buffer area of the preset range around the interest point refers to the preset range obtained by taking the interest point as the center and the preset length as the radius. Preferably, the predetermined length may be 30 meters. Of course, the embodiments of the present application are not limited thereto. The second interest surface is used to characterize a second type of planar element of the target building.
Specifically, the server 104 may fuse the first interest surface and the second interest surface to obtain the areas where the first interest surface and the second interest surface are located. And then determining the building in the area where the first interest surface and the second interest surface are located, wherein the building at the moment is the target building.
Specifically, according to the determined target building in the building layer corresponding to the building contour data of the preset area, the server 104 may remove the determined target building (i.e., the ineffective building) from the building layer, so as to obtain the remaining areas except for the target building in the building layer, i.e., the effective building set. Wherein the effective building set refers to the buildings except the target building, and the rest of the buildings can be provided with photovoltaic panels.
In this embodiment, a point of interest and a first interest surface are determined from a building layer; the interest points are used for representing point-shaped elements of the target building, and the first interest surfaces are used for representing first-class planar elements of the target building; taking a buffer zone in a preset range around the interest point as a second interest surface; the second interest surface is used for representing a second class of planar elements of the target building; generating a target building according to the first interest surface and the second interest surface; the target building is removed from the building layer, resulting in an effective building set. The first interest surface and the second interest surface are determined from the building layer, and the target building is generated according to the first interest surface and the second interest surface, so that the target building in the building layer can be removed, and an effective building set capable of laying out the photovoltaic panel is obtained.
In one embodiment, as shown in fig. 5, using a mountain shadow algorithm, building shadow areas are removed from each of the active buildings in the active building set to obtain an initial building active area, comprising:
step 520, converting vector data of the effective buildings into raster data for each effective building in the effective building set, and obtaining an elevation distribution diagram of the effective building; the elevation profile includes a grid.
Specifically, since the building contour data is building vector data carrying height information, and the object simulated in the mountain shadow algorithm is raster data, for each effective building in the set of effective buildings, the server 104 converts the vector data of the effective building into raster data, and inserts zero value grids in positions without buildings in the geographic space, thereby obtaining the elevation distribution map of the effective buildings which are continuously distributed. The elevation refers to the distance from a point to an absolute base surface along the plumb line direction, and is also called absolute elevation. The elevation profile is a raster image that is used to characterize the elevation (i.e., altitude) of an area. The elevation profile includes a grid. Preferably, the grid size is set to 0.8 x 0.8m. Of course, the embodiments of the present application are not limited thereto.
Specifically, first, the server 104 sets the sample time. The sample time includes a sample day and a sample hour, and the server 104 may select three sample days per month, set the step size of the sample day to ten days, and set each hour within the sample day as a sample hour. Next, the server 104 acquires light source irradiation angle data including solar altitude data and solar azimuth data for each sample hour in each sample day. And then, the grid data of the effective building and the light source irradiation angle data are input into a mountain shadow algorithm for simulation, and grid values of grids in an elevation distribution diagram of the effective building are generated. The hillshadow algorithm (hillshadow) is a method for performing building shadow simulation by simulating contrast of light and shade caused by irradiation of sunlight on a terrain to render a terrain map. The mountain shadow algorithm may calculate a brightness value (i.e., a grid value) of the grid by setting a position of a light source and an irradiation angle of the light source for each pixel in the grid.
Specifically, first, the server 104 may compare the generated grid value of each grid in the effective building with a preset grid value, and determine a magnitude relationship between the generated grid value and the preset grid value. When the generated grid value is larger than or equal to a preset grid value, determining that the areas corresponding to the grid value are not blocked; when the generated grid value is smaller than the preset grid value, the fact that the areas corresponding to the grid value are shielded from each other is determined. And secondly, calculating the grid value in a preset time period according to each grid value corresponding to each sample day and each sample hour, comparing the grid value in the preset time period with a preset standard, and judging the size relation between the grid value in the preset time period and the preset standard. When the grid value in the preset time period is larger than or equal to the preset standard, determining that the light source irradiation amount of the area corresponding to the grid value in the preset time period reaches the preset standard; when the grid value in the preset time period is smaller than the preset standard, determining that the light source irradiation amount of the area corresponding to the grid value in the preset time period cannot reach the preset standard. And then, determining the areas corresponding to the grid values which are blocked and the areas corresponding to the grid values in which the light source irradiation cannot reach the preset standard in the preset time period as the building shadow areas of the effective buildings. The preset grid value is used for representing whether mutual shielding exists between the areas corresponding to the grid value. The preset standard is used for representing whether the light source irradiation amount of the area corresponding to the grid value in the preset time period can reach the standard light source irradiation amount.
Step 580 removes the building shadow area of each effective building from each effective building to obtain the initial building effective area.
Specifically, the server 104 may remove the determined building shadow area (i.e., the ineffective area on the building) from each of the effective buildings in the set of effective buildings, thereby obtaining the remaining area on each of the effective buildings in the set of effective buildings except for the building shadow area, i.e., the initial building effective area. The building shadow area refers to the area of the mutually shielded area between the buildings. The initial building active area is used to indicate the active area of the building roof.
In this embodiment, for each effective building in the effective building set, vector data of the effective building is converted into raster data, so as to obtain an elevation distribution diagram of the effective building; the elevation distribution map comprises grids; acquiring light source irradiation angle data, inputting the raster data of the effective building and the light source irradiation angle data into a mountain shadow algorithm for simulation, and generating raster values of grids in an elevation distribution diagram of the effective building; determining the building shadow area of the effective building according to the grid value of each grid in the effective building; and removing the building shadow area of each effective building from each effective building to obtain the initial building effective area. The obtained raster data of the effective building and the light source irradiation angle data are input into a mountain shadow algorithm to be simulated, so that the raster value of each raster is generated. And determining the building shadow area of the effective building according to the grid value of each grid, so that the ineffective area (namely the building shadow area) on the building in the building layer can be removed, and the initial building effective area which does not influence the photovoltaic power generation is obtained.
In one embodiment, as shown in FIG. 6, the effective area impact factors include non-building shading impact coefficients and availability coefficients for different types of buildings; calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor, comprising:
Specifically, the server 104 may pre-calculate the effective area impact factor according to a preset parameter. In the embodiment of the application, the effective area influence factors comprise non-building shadow influence coefficients and availability coefficients of different types of buildings. Accordingly, the server 104 may calculate non-building shading impact coefficients from preset parameters and determine availability coefficients for different types of buildings. The preset parameters are parameters related to the effective area of the building, and are also parameters needed to be used when the effective area influence factors are calculated. The effective area influence factor is an influence coefficient that affects the effective area of the building. The non-building shadow influence coefficient refers to the influence coefficient of shadows generated by a non-building on photovoltaic power generation. The availability factor of different types of buildings refers to the availability factor of different types of buildings relative to their footprints.
And step 640, classifying the effective areas of the initial buildings according to the building types to obtain target building types corresponding to the effective areas of the initial buildings.
Specifically, the server 104 may classify the effective area of the initial building according to the building type, so as to obtain the target building type corresponding to the effective area of the initial building. Among the building types include residential, public, commercial, and industrial buildings. And then, according to the target building type corresponding to the effective area of the initial building, acquiring a target availability coefficient corresponding to the target building type from availability coefficients of different types of buildings. In addition, the target availability factor corresponding to the target building type is also related to the volume fraction of the area in which the target building is located. The volume ratio of the area where the building is located is the ratio of the total area of the above-ground building to the net area of the area. For a residential building, if the volume rate of the area where the residential building is located is less than or equal to 1.5, the corresponding target availability coefficient is 60%; if the volume ratio of the area is larger than 1.5, the corresponding target availability coefficient is 50%. For public buildings and commercial buildings, if the volume rate of the area where the public buildings and the commercial buildings are located is less than or equal to 2, the corresponding target availability coefficient is 80%; if the volume ratio of the area is larger than 2, the corresponding target availability coefficient is 60%. For industrial buildings, the corresponding target availability factor is 80%.
In step 680, the target building effective area is calculated based on the initial building effective area, the non-building shadow effect coefficients, and the target availability coefficients corresponding to the target building type.
Specifically, server 104 may calculate a target building intermediate effective area based on the initial building effective area, the non-building shadow influence coefficient, and a target availability coefficient corresponding to the target building type. In the embodiment of the present application, the intermediate effective area of the target building may be a product of the initial building effective area, 1 minus the non-building shadow influence coefficient, and the target availability coefficient corresponding to the target building type. And then, removing the corresponding area of the building with the middle effective area smaller than the preset effective area (such as 30 square meters) from the middle effective area of the target building to obtain the effective area of the target building. The effective area of the target building is a technical index for measuring the building construction scale, and is related to the effective area of the initial building, the non-building shadow influence coefficient and the target availability coefficient corresponding to the type of the target building.
In this embodiment, the target building type corresponding to the initial building effective area is obtained by acquiring the non-building shadow influence coefficient and the availability coefficient of different types of buildings and classifying the initial building effective area according to the building type. And then according to the target building type corresponding to the effective area of the initial building, the target availability coefficient corresponding to the target building type can be conveniently obtained. Then, the effective area of the target building can be conveniently calculated according to the effective area of the initial building, the influence coefficient of the non-building shadow and the target availability coefficient corresponding to the type of the target building.
In one embodiment, as shown in FIG. 7, obtaining non-building shading effect coefficients includes:
Specifically, first, the server 104 may establish buffers corresponding to road networks for different road networks according to the effective area of the initial building, the road networks and the heights of the buildings, and determine a building having a height lower than a preset height value (e.g., 15 meters) in the buffer corresponding to the road networks in the effective area of the initial building as a building affected by shadows of non-buildings (e.g., trees). The server 104 may then obtain the floors of the building affected by the non-building shadows and the normalized vegetation index. Wherein the normalized vegetation index is used to characterize non-building shadows. Normalized vegetation index (NDVI) can characterize vegetation (i.e., non-buildings) by measuring the difference between near infrared light (vegetation strongly reflected) and red light (vegetation absorption).
Specifically, the server 104 may calculate the non-building shadow impact strength according to the floors of the building affected by the non-building shadow and the normalized vegetation index. Wherein the non-building shadow impact strength is used to characterize the impact strength of a non-building on the effective area of the target building. The expression of the non-building shadow influence intensity is shown in formula (1):
wherein I is tree For non-building shadows, NDVI is normalized vegetation index, F is the floor of the building.
Specifically, the server 104 may arrange the calculated non-building shadow influence intensities from small to large, and perform interpolation processing in a range from 8% to 40% on the non-building shadow influence intensities arranged from small to large, thereby generating the non-building shadow influence coefficient after interpolation processing. The interpolation is a method for estimating the approximate value of the index at other points through the value taking condition of the index at the limited points. The non-building shadow influence coefficient refers to the influence coefficient of shadows generated by a non-building on photovoltaic power generation.
In this embodiment, by acquiring the floor and normalized vegetation index of the building in the effective area of the initial building, the non-building shadow influence intensity can be conveniently calculated according to the floor and normalized vegetation index of the building in the effective area of the initial building. Then, interpolation processing is carried out on the non-building shadow influence intensity, so that the non-building shadow influence coefficient can be conveniently generated.
In one embodiment, as shown in fig. 8, evaluating photovoltaic power generation of a preset area according to a target building effective area includes:
and step 820, calculating the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel and the shielding coefficient of the photovoltaic panel according to the light source radiation parameters, the weather parameters and the installation parameters of the photovoltaic panel on the building roof in a preset time period.
Specifically, first, the server 104 may obtain the preset climate parameters for the preset time period within the preset region using a high resolution global climate model (geo-5). Wherein a high resolution global climate model (geo-5) is used for simulation of global climate. The preset time period is a selected time period in which photovoltaic power generation amount evaluation is required. The photovoltaic power generation amount in the preset area refers to the power generation amount generated by using photovoltaic power generation in the preset area in a preset time period. The preset climate parameters refer to climate parameters measured in a preset time period in a preset region, and the preset climate parameters comprise light source radiation parameters and meteorological parameters, such as a solar altitude angle, a solar azimuth angle, all radiation monitoring data PV and direct radiation monitoring data CSP in the preset time period. Secondly, according to the selected photovoltaic panel assembly data and the photovoltaic panel installation data, the server 104 can obtain the installation parameters of the photovoltaic panel on the roof of the building. The installation parameters include the length of the photovoltaic panel, the inclination angle of the photovoltaic panel, and the installation interval of the photovoltaic panel. In the embodiment of the application, preferably, a photovoltaic panel with a photovoltaic power generation power of 380Wp is selected for evaluating the photovoltaic power generation capacity, the installation azimuth angle is set to be 0 degrees, the installation inclination angle is set to be equal to the latitude of the position where the photovoltaic panel is located, and in addition, the distance between the photovoltaic panel arrays meets the condition that no mutual shielding exists in winter. Of course, the type of the photovoltaic panel and the photovoltaic panel installation data in the embodiment of the present application are not limited. And then, calculating the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel and the shielding coefficient of the photovoltaic panel according to the light source radiation parameters, the meteorological parameters and the installation parameters of the photovoltaic panel on the building roof in a preset time period in a preset area.
Specifically, firstly, according to the length of the photovoltaic panel, the inclination angle of the photovoltaic panel, the solar altitude angle and the solar azimuth angle in a preset time period in a preset area, the photovoltaic power generation utilization rate of the building roof is calculated. The expression of the mounting pitch d is shown in formula (2):
wherein d is the installation interval of the photovoltaic panel, l is the length of the photovoltaic panel, θ is the inclination angle of the photovoltaic panel, and h n For winter to solar altitude 9:00 or 15:00, alpha n The solar azimuth angle is 9:00 or 15:00 from winter to day.
Photovoltaic power generation utilization RF of building rooftops ratio The expression of (2) is shown in formula (3):
wherein RF ratio The photovoltaic power generation utilization rate of the building roof is that theta is the inclination angle of the photovoltaic panel, h n For winter to solar altitude 9:00 or 15:00, alpha n The solar azimuth angle is 9:00 or 15:00 from winter to day.
Second, first, monitoring according to all radiation within a predetermined time period within a predetermined regionData PV, direct radiation monitoring data CSP, direct radiation at the photovoltaic panel level and scattered radiation at the photovoltaic panel level are calculated. Direct radiation I of the horizontal plane of the photovoltaic panel DH The expression of (2) is shown in formula (4):
I DH ＝CSP (4)
wherein I is DH For direct radiation at the level of the photovoltaic panel, CSP is the direct radiation monitoring data.
Scattered radiation I at the level of the photovoltaic panel SH The expression of (2) is shown in formula (5):
I SH ＝PV-CSP (5)
wherein I is SH Scattered radiation at the level of the photovoltaic panel, PV is total radiation monitoring data, CSP is direct radiation monitoring data.
And secondly, calculating the direct radiation ratio of the inclined plane of the photovoltaic panel to the horizontal plane of the photovoltaic panel according to the inclination angle, the solar altitude angle and the solar azimuth angle of the photovoltaic panel in a preset time period in a preset area. Direct radiation ratio R of direct radiation of inclined plane of photovoltaic panel and horizontal plane of photovoltaic panel DT The expression of (2) is shown in formula (6):
wherein R is DT The direct radiation ratio of direct radiation of the inclined plane of the photovoltaic panel to the horizontal plane of the photovoltaic panel is represented by θ, the inclination angle of the photovoltaic panel is represented by h, the solar altitude angle at different moments is represented by h, and the solar azimuth angle at different moments is represented by α.
Thirdly, calculating the direct radiation on the inclined plane of the photovoltaic panel according to the ratio of the direct radiation of the horizontal plane of the photovoltaic panel to the direct radiation of the inclined plane of the photovoltaic panel to the direct radiation of the horizontal plane of the photovoltaic panel. Direct radiation I on inclined surfaces of photovoltaic panels DT The expression of (2) is shown in formula (7):
I DT ＝I DH ×R DT (7)
wherein I is DT For direct irradiation on inclined surfaces of photovoltaic panelsRadiation, I DH For direct radiation in the horizontal plane of the photovoltaic panel, R DT Is the ratio of direct radiation of the inclined plane of the photovoltaic panel to direct radiation of the horizontal plane of the photovoltaic panel.
Fourth, according to the direct radiation of the horizontal plane of the photovoltaic panel, the horizontal radiation outside the atmosphere, the scattered radiation of the horizontal plane of the photovoltaic panel, the direct radiation ratio of the direct radiation of the inclined plane of the photovoltaic panel to the horizontal plane of the photovoltaic panel and the inclination angle of the photovoltaic panel, the scattered radiation on the inclined plane of the photovoltaic panel is calculated. Scattered radiation I on inclined surfaces of photovoltaic panels ST The expression of (2) is shown in formula (8):
wherein,, ST is scattered radiation on the inclined surface of the photovoltaic panel, I SH Is scattered radiation in the horizontal plane of the photovoltaic panel, I DH For direct radiation in the horizontal plane of the photovoltaic panel, I 0 For the external horizontal radiation of the atmosphere, 1763W/m is usually taken 2 ，R DT The direct radiation ratio of direct radiation of the inclined plane of the photovoltaic panel to the horizontal plane of the photovoltaic panel is shown, and theta is the inclination angle of the photovoltaic panel.
Fifth, the amount of reflected radiation on the inclined surface of the photovoltaic panel is calculated from the direct radiation on the inclined surface of the photovoltaic panel, the scattered radiation on the inclined surface of the photovoltaic panel, and the inclination angle of the photovoltaic panel. Reflection radiation quantity I on inclined surface of photovoltaic panel RT The expression of (2) is shown in formula (9):
I RT ＝0.5ρ(I DT +I ST )×(1-cosθ) (9)
wherein I is RT For reflecting the radiant quantity on the inclined surface of the photovoltaic panel, ρ is the ground reflectivity, and is usually 0.2, I DT For direct radiation on inclined surfaces of photovoltaic panels, I ST And the scattered radiation on the inclined surface of the photovoltaic panel is represented by theta, and the inclination angle of the photovoltaic panel is represented by theta.
Sixth, the total radiation amount on the inclined surface of the photovoltaic panel, that is, the total radiation amount of the photovoltaic panel is calculated from the direct radiation on the inclined surface of the photovoltaic panel, the scattered radiation on the inclined surface of the photovoltaic panel, and the reflected radiation amount on the inclined surface of the photovoltaic panel. Photovoltaic panel tiltsTotal radiation dose I on inclined plane T The expression of (2) is shown in formula (10):
I T ＝I DT +I ST +I RT (10)
wherein I is T Is the total radiation quantity on the inclined surface of the photovoltaic panel, namely the total radiation quantity of the photovoltaic panel, I DT For direct radiation on inclined surfaces of photovoltaic panels, I ST Is scattered radiation on the inclined surface of the photovoltaic panel, I RT Reflecting the radiant quantity on the inclined surface of the photovoltaic panel.
Then, because the photovoltaic panel assemblies may have the mutual shielding condition at certain moments, the photovoltaic power generation power is changed, and therefore, when the photovoltaic power generation amount is calculated, the shielding coefficient of the photovoltaic panel representing the mutual shielding condition of the photovoltaic panel assemblies needs to be considered. The specific process for calculating the shielding coefficient of the photovoltaic panel is as follows:
firstly, calculating the shielding area proportion of the photovoltaic panel in a preset time period according to the inclination angle of the photovoltaic panel, the solar altitude angles at different moments and the solar azimuth angles at different moments. The expression of the length difference between the unit area photovoltaic cell panel orthographic south projection direction and the perpendicular projection direction is shown in formula (11):
The expression of the projection of the solar altitude in the positive south direction is shown in formula (12):
shading area proportion SHD of photovoltaic panel in preset time period PV The expression of (2) is shown in formula (13):
wherein D is the orthographic south projection of the photovoltaic cell panel in unit areaThe length difference between the direction and the vertical projection direction, theta is the inclination angle of the photovoltaic panel, H is the solar altitude angle at different moments, alpha is the solar azimuth angle at different moments, H SP The projection of the solar altitude angle in the positive south direction is that d is the length difference between the positive south direction projection and the vertical projection of the photovoltaic panel in the unit area photovoltaic panel from winter to nine am or three pm, SHD PV The shielding area proportion of the photovoltaic panel in the preset time period is set.
Afterwards, according to the shielding area proportion SHD of the photovoltaic panel in the preset time period PV Obtaining the shielding coefficient F of the photovoltaic panel PVSHD . As shown in table 1, table 1 is a correspondence relationship between the shielding area ratio of the photovoltaic panel and the shielding coefficient of the photovoltaic panel.
TABLE 1
In step 840, a temperature correction coefficient of the photovoltaic panel is calculated according to the peak power temperature coefficient of the photovoltaic panel and the ambient temperature of the location of the photovoltaic panel.
Specifically, since the ambient temperature has a certain influence on the photovoltaic power generation power, the temperature correction coefficient of the photovoltaic panel needs to be considered when calculating the photovoltaic power generation amount. The server 104 may calculate a temperature correction coefficient of the photovoltaic panel according to a peak power temperature coefficient of the photovoltaic panel and an ambient temperature of a location where the photovoltaic panel is located. The specific process for calculating the temperature correction coefficient of the photovoltaic panel is as follows:
Firstly, calculating the surface temperature of the photovoltaic panel according to the peak power temperature coefficient of the photovoltaic panel and the ambient temperature of the position of the photovoltaic panel. The expression of the photovoltaic panel surface temperature is shown in formula (14):
wherein T is PVB For the surface temperature of the photovoltaic panel, T ENV For the ambient temperature of the photovoltaic panel, NOCT is the peak power temperature coefficient, usingIn measuring the change in the power generated by photovoltaic power generation per unit of ambient temperature (DEG C), in the examples of the present application, the value of-0.39%/DEG C, I T Is the total radiation quantity on the inclined surface of the photovoltaic panel, namely the total radiation quantity (KW/m) 2 )。
And then, calculating the temperature correction coefficient of the photovoltaic panel according to the surface temperature of the photovoltaic panel. The expression of the temperature correction coefficient of the photovoltaic panel is shown in formula (15):
F TEM ＝1-0.39％×(T PVB -25℃) (15)
wherein F is TEM Is the temperature correction coefficient, T of the photovoltaic panel PVB Is the surface temperature of the photovoltaic panel.
Specifically, the server 104 may also obtain system efficiency loss parameters, energy conversion efficiency of the solar panel, and dynamic effective area coefficients. As shown in table 2, table 2 shows the values of the system efficiency loss parameters.
TABLE 2
And then, according to the effective area of the target building, the photovoltaic power generation utilization rate of the building roof, the total radiation amount of the photovoltaic panel, the shielding coefficient of the photovoltaic panel, the temperature correction coefficient of the photovoltaic panel, the system efficiency loss parameter, the energy conversion efficiency of the solar panel and the dynamic effective area coefficient, the photovoltaic power generation amount of the preset area can be estimated. The expression of photovoltaic power generation is shown in formula (16):
wherein Power is a Power i,j [W·h]The photovoltaic power generation amount of the ith target building in a certain Area in the jth hour, area i For the effective area of the ith target building in a certain area, I T(j) Is the total radiation quantity of the photovoltaic panel in the j-th hour, eta is the energy conversion efficiency of the solar panel, F TEM For the temperature correction coefficient of the photovoltaic panel, F PVSHD Is the shielding coefficient f of the photovoltaic panel shade To be dynamic effective area coefficient F sys Is a system efficiency loss parameter.
In this embodiment, the photovoltaic power generation utilization rate of the building roof, the total radiation amount of the photovoltaic panel and the shielding coefficient of the photovoltaic panel can be conveniently calculated directly according to the light source radiation parameter, the weather parameter and the installation parameter of the photovoltaic panel on the building roof in the preset time period. And then the temperature correction coefficient of the photovoltaic panel can be conveniently calculated according to the peak power temperature coefficient of the photovoltaic panel and the ambient temperature of the position where the photovoltaic panel is located, and then the photovoltaic power generation capacity of a preset area can be conveniently estimated according to the obtained effective area of the target building, the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel, the shielding coefficient of the photovoltaic panel and the temperature correction coefficient of the photovoltaic panel.
In a specific embodiment, as shown in fig. 9, there is provided a photovoltaic power generation amount evaluation method, including:
step 918, removing building shadow areas of each effective building from each effective building to obtain an initial building effective area;
step 928, classifying the effective area of the initial building according to the building type to obtain a target building type corresponding to the effective area of the initial building;
Step 932, calculating a target building effective area according to the initial building effective area, the non-building shadow influence coefficient and the target availability coefficient corresponding to the target building type;
and step 938, evaluating the photovoltaic power generation capacity of the preset area according to the effective area of the target building, the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel, the shielding coefficient of the photovoltaic panel and the temperature correction coefficient of the photovoltaic panel.
According to the photovoltaic power generation amount evaluation method, the building layer corresponding to the building contour data of the preset area is obtained; removing invalid buildings and invalid areas on the buildings from the building layers to obtain initial building effective areas; the initial building effective area is used to indicate the effective area of the building roof; calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor; and evaluating the photovoltaic power generation capacity of a preset area according to the effective area of the target building. Firstly, the method and the device can directly acquire the building layer corresponding to the building contour data of the preset area, and solve the problem of high information acquisition difficulty caused by acquiring a large amount of high-precision sensing data in the traditional method. And then, removing the invalid buildings and the invalid areas on the buildings from the building layers to obtain the effective areas of the initial buildings, and calculating the effective areas of the target buildings according to the effective areas of the initial buildings and the effective area influence factors. The calculation process of the effective area of the target building can perform data processing only by using a GB-level data set; in the traditional method, the process of calculating the effective area of the target building by adopting the image processing technology can process data by using a data set exceeding 100GB level, and the process needs to perform operations such as cloud removal, correction and the like on a large amount of high-precision sensing data, so that the calculation process and the calculation difficulty are simplified in the step of calculating the effective area of the target building. Therefore, the calculation process and the calculation difficulty are simplified in the step of calculating the effective area of the target building, and the evaluation process and the evaluation difficulty of the photovoltaic power generation amount in the preset area can be simplified by evaluating the photovoltaic power generation amount in the preset area according to the simplified and calculated effective area of the target building.
It should be understood that, although the steps in the flowcharts related to the above embodiments are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a photovoltaic power generation amount evaluation device for realizing the photovoltaic power generation amount evaluation method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the photovoltaic power generation amount estimation device or devices provided below may be referred to the limitation of the photovoltaic power generation amount estimation method hereinabove, and will not be described herein.
In one embodiment, as shown in fig. 10, there is provided a photovoltaic power generation amount evaluation apparatus 1000 including: a data acquisition module 1020, an initial building active area acquisition module 1040, a target building active area calculation module 1060, and a photovoltaic power generation assessment module 1080, wherein:
the data acquisition module 1020 is configured to acquire a building layer corresponding to building contour data of a preset area.
An initial building effective area obtaining module 1040, configured to remove an invalid building and an invalid area on the building from the building layer, to obtain an initial building effective area; the initial building active area is used to indicate the active area of the building roof.
The target building effective area calculating module 1060 is configured to calculate a target building effective area according to the initial building effective area and the effective area influencing factor;
and the photovoltaic power generation amount evaluation module 1080 is used for evaluating the photovoltaic power generation amount of a preset area according to the effective area of the target building.
In one embodiment, the invalid building comprises a target building; the target building is used for indicating the building with the protection value; the initial building active area acquisition module 1040 includes:
The effective building set generating unit is used for removing the target building from the building layer by adopting an interest surface recognition algorithm to obtain an effective building set;
and the initial building effective area generating unit is used for removing building shadow areas from each effective building in the effective building set by adopting a mountain shadow algorithm to obtain the initial building effective area.
In one embodiment, the effective building set generating unit includes:
the interest point and first interest surface determining subunit is used for determining the interest point and the first interest surface from the building layer; the interest points are used for representing point-shaped elements of the target building, and the first interest surfaces are used for representing first-class planar elements of the target building;
the second interest surface determining subunit is used for taking a buffer zone in a preset range around the interest point as a second interest surface; the second interest surface is used for representing a second class of planar elements of the target building;
the target building generation subunit is used for generating a target building according to the first interest surface and the second interest surface;
an effective building set generation subunit for removing the target building from the building layer to obtain an effective building set.
In one embodiment, the initial building effective area generating unit includes:
the elevation distribution map generation subunit is used for converting vector data of the effective buildings into raster data aiming at each effective building in the effective building set to obtain an elevation distribution map of the effective building; the elevation distribution map comprises grids;
the grid value generation subunit is used for acquiring the light source irradiation angle data, inputting the grid data of the effective building and the light source irradiation angle data into a mountain shadow algorithm for simulation, and generating grid values of grids in an elevation distribution diagram of the effective building;
a building shadow area determination subunit, configured to determine a building shadow area of an effective building according to grid values of grids in the effective building;
an initial building effective area generating subunit, configured to remove building shadow areas of each effective building from each effective building to obtain an initial building effective area.
In one embodiment, the effective area impact factors include non-building shading impact coefficients and availability coefficients for different types of buildings; the target building effective area calculation module 1060 includes:
the effective area influence factor acquisition unit is used for acquiring non-building shadow influence coefficients and availability coefficients of different types of buildings;
The target building type generating unit is used for classifying the effective area of the initial building according to the building types to obtain a target building type corresponding to the effective area of the initial building;
a target availability coefficient obtaining unit, configured to obtain a target availability coefficient corresponding to a target building type according to the target building type corresponding to the initial building effective area;
and the target building effective area calculating unit is used for calculating the target building effective area according to the initial building effective area, the non-building shadow influence coefficient and the target availability coefficient corresponding to the target building type.
In one embodiment, the effective area influence factor acquisition unit includes:
a building parameter obtaining subunit, configured to obtain a floor and a normalized vegetation index of a building in an effective area of an initial building; the normalized vegetation index is used to characterize non-building shadows;
a non-building shadow influence intensity calculating subunit, configured to calculate a non-building shadow influence intensity according to the floor of the building in the initial building effective area and the normalized vegetation index; the non-building shadow influence intensity is used for representing the influence intensity of the non-building on the effective area of the target building;
And the non-building shadow influence coefficient generation subunit is used for carrying out interpolation processing on the non-building shadow influence intensity to generate the non-building shadow influence coefficient.
In one embodiment, photovoltaic power generation evaluation module 1080 comprises:
the photovoltaic power generation parameter acquisition unit is used for calculating the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel and the shielding coefficient of the photovoltaic panel according to the light source radiation parameter, the meteorological parameter and the installation parameter of the photovoltaic panel on the building roof in a preset time period;
the temperature correction coefficient calculation unit is used for calculating the temperature correction coefficient of the photovoltaic panel according to the peak power temperature coefficient of the photovoltaic panel and the ambient temperature of the position where the photovoltaic panel is positioned;
the photovoltaic power generation amount evaluation unit is used for evaluating the photovoltaic power generation amount of a preset area according to the effective area of a target building, the photovoltaic power generation utilization rate of the building roof, the total radiation amount of the photovoltaic panel, the shielding coefficient of the photovoltaic panel and the temperature correction coefficient of the photovoltaic panel.
The respective modules in the photovoltaic power generation amount evaluation apparatus described above may be realized in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 11. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing photovoltaic power generation amount evaluation data. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a photovoltaic power generation amount evaluation method.
It will be appreciated by those skilled in the art that the structure shown in fig. 11 is merely a block diagram of a portion of the structure associated with the present application and is not limiting of the computer device to which the present application applies, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
acquiring a building layer corresponding to building contour data of a preset area;
removing invalid buildings and invalid areas on the buildings from the building layers to obtain initial building effective areas; the initial building effective area is used to indicate the effective area of the building roof;
calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor;
and evaluating the photovoltaic power generation capacity of a preset area according to the effective area of the target building.
In one embodiment, the invalid building comprises a target building; the target building is used for indicating the building with the protection value; the method comprises the steps of removing an invalid building and an invalid area on the building from a building layer to obtain an initial building effective area, and executing a computer program by a processor to further realize the following steps:
Removing a target building from a building layer by adopting an interest surface recognition algorithm to obtain an effective building set;
and removing building shadow areas from each effective building in the effective building set by adopting a mountain shadow algorithm to obtain the initial building effective area.
In one embodiment, the target building is removed from the building layer using a face of interest recognition algorithm to obtain an effective building set, and the processor when executing the computer program further performs the steps of:
determining a point of interest and a first interest surface from a building layer; the interest points are used for representing point-shaped elements of the target building, and the first interest surfaces are used for representing first-class planar elements of the target building;
taking a buffer zone in a preset range around the interest point as a second interest surface; the second interest surface is used for representing a second class of planar elements of the target building;
generating a target building according to the first interest surface and the second interest surface;
the target building is removed from the building layer, resulting in an effective building set.
In one embodiment, the mountain shadow algorithm is used to remove building shadow areas from each of the active buildings in the active building set to obtain an initial building active area, and the processor when executing the computer program further performs the steps of:
For each effective building in the effective building set, converting vector data of the effective building into raster data to obtain an elevation distribution diagram of the effective building; the elevation distribution map comprises grids;
acquiring light source irradiation angle data, inputting the raster data of the effective building and the light source irradiation angle data into a mountain shadow algorithm for simulation, and generating raster values of grids in an elevation distribution diagram of the effective building;
determining the building shadow area of the effective building according to the grid value of each grid in the effective building;
and removing the building shadow area of each effective building from each effective building to obtain the initial building effective area.
In one embodiment, the effective area impact factors include non-building shading impact coefficients and availability coefficients for different types of buildings; according to the initial building effective area and the effective area influence factor, calculating the effective area of the target building, and when the processor executes the computer program, the following steps are realized:
acquiring a non-building shadow influence coefficient and availability coefficients of different types of buildings;
classifying the effective areas of the initial buildings according to the building types to obtain target building types corresponding to the effective areas of the initial buildings;
Obtaining a target availability coefficient corresponding to a target building type according to the target building type corresponding to the initial building effective area;
and calculating the effective area of the target building according to the effective area of the initial building, the non-building shadow influence coefficient and the target availability coefficient corresponding to the type of the target building.
In one embodiment, the non-building shading coefficient is obtained, and the processor when executing the computer program further performs the steps of:
acquiring floors of a building in the effective area of an initial building and a normalized vegetation index; the normalized vegetation index is used to characterize non-building shadows;
calculating the non-building shadow influence intensity according to the floors of the building in the effective area of the initial building and the normalized vegetation index; the non-building shadow influence intensity is used for representing the influence intensity of the non-building on the effective area of the target building;
and carrying out interpolation processing on the non-building shadow influence intensity to generate a non-building shadow influence coefficient.
In one embodiment, the photovoltaic power generation of the preset area is estimated according to the effective area of the target building, and the processor executes the computer program to further implement the following steps:
Calculating the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel and the shielding coefficient of the photovoltaic panel according to the light source radiation parameter, the meteorological parameter and the installation parameter of the photovoltaic panel on the building roof in a preset time period;
calculating a temperature correction coefficient of the photovoltaic panel according to the peak power temperature coefficient of the photovoltaic panel and the ambient temperature of the position where the photovoltaic panel is positioned;
and evaluating the photovoltaic power generation capacity of the preset area according to the effective area of the target building, the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel, the shielding coefficient of the photovoltaic panel and the temperature correction coefficient of the photovoltaic panel.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a building layer corresponding to building contour data of a preset area;
removing invalid buildings and invalid areas on the buildings from the building layers to obtain initial building effective areas; the initial building effective area is used to indicate the effective area of the building roof;
calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor;
And evaluating the photovoltaic power generation capacity of a preset area according to the effective area of the target building.
In one embodiment, the invalid building comprises a target building; the target building is used for indicating the building with the protection value; the method comprises the steps of removing the invalid building and the invalid area on the building from the building layer to obtain an initial building effective area, and executing the computer program by the processor to further realize the following steps:
removing a target building from a building layer by adopting an interest surface recognition algorithm to obtain an effective building set;
and removing building shadow areas from each effective building in the effective building set by adopting a mountain shadow algorithm to obtain the initial building effective area.
In one embodiment, the target building is removed from the building layer using a face of interest recognition algorithm to obtain an effective building set, and the computer program when executed by the processor further performs the steps of:
determining a point of interest and a first interest surface from a building layer; the interest points are used for representing point-shaped elements of the target building, and the first interest surfaces are used for representing first-class planar elements of the target building;
taking a buffer zone in a preset range around the interest point as a second interest surface; the second interest surface is used for representing a second class of planar elements of the target building;
Generating a target building according to the first interest surface and the second interest surface;
the target building is removed from the building layer, resulting in an effective building set.
In one embodiment, the building shadow area is removed from each of the active buildings in the active building set using a mountain shadow algorithm to obtain an initial building active area, and the computer program when executed by the processor further performs the steps of:
for each effective building in the effective building set, converting vector data of the effective building into raster data to obtain an elevation distribution diagram of the effective building; the elevation distribution map comprises grids;
acquiring light source irradiation angle data, inputting the raster data of the effective building and the light source irradiation angle data into a mountain shadow algorithm for simulation, and generating raster values of grids in an elevation distribution diagram of the effective building;
determining the building shadow area of the effective building according to the grid value of each grid in the effective building;
and removing the building shadow area of each effective building from each effective building to obtain the initial building effective area.
In one embodiment, the effective area impact factors include non-building shading impact coefficients and availability coefficients for different types of buildings; calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor, wherein the computer program further realizes the following steps when being executed by the processor:
Acquiring a non-building shadow influence coefficient and availability coefficients of different types of buildings;
classifying the effective areas of the initial buildings according to the building types to obtain target building types corresponding to the effective areas of the initial buildings;
obtaining a target availability coefficient corresponding to a target building type according to the target building type corresponding to the initial building effective area;
and calculating the effective area of the target building according to the effective area of the initial building, the non-building shadow influence coefficient and the target availability coefficient corresponding to the type of the target building.
In one embodiment, the non-building shading effect coefficients are obtained, and the computer program when executed by the processor further performs the steps of:
acquiring floors of a building in the effective area of an initial building and a normalized vegetation index; the normalized vegetation index is used to characterize non-building shadows;
calculating the non-building shadow influence intensity according to the floors of the building in the effective area of the initial building and the normalized vegetation index; the non-building shadow influence intensity is used for representing the influence intensity of the non-building on the effective area of the target building;
and carrying out interpolation processing on the non-building shadow influence intensity to generate a non-building shadow influence coefficient.
In one embodiment, the photovoltaic power generation of the predetermined area is evaluated according to the target building effective area, and the computer program when executed by the processor further implements the steps of:
calculating the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel and the shielding coefficient of the photovoltaic panel according to the light source radiation parameter, the meteorological parameter and the installation parameter of the photovoltaic panel on the building roof in a preset time period;
calculating a temperature correction coefficient of the photovoltaic panel according to the peak power temperature coefficient of the photovoltaic panel and the ambient temperature of the position where the photovoltaic panel is positioned;
and evaluating the photovoltaic power generation capacity of the preset area according to the effective area of the target building, the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel, the shielding coefficient of the photovoltaic panel and the temperature correction coefficient of the photovoltaic panel.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
acquiring a building layer corresponding to building contour data of a preset area;
removing invalid buildings and invalid areas on the buildings from the building layers to obtain initial building effective areas; the initial building effective area is used to indicate the effective area of the building roof;
Calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor;
and evaluating the photovoltaic power generation capacity of a preset area according to the effective area of the target building.
In one embodiment, the invalid building comprises a target building; the target building is used for indicating the building with the protection value; the method comprises the steps of removing the invalid building and the invalid area on the building from the building layer to obtain an initial building effective area, and executing the computer program by the processor to further realize the following steps:
removing a target building from a building layer by adopting an interest surface recognition algorithm to obtain an effective building set;
and removing building shadow areas from each effective building in the effective building set by adopting a mountain shadow algorithm to obtain the initial building effective area.
In one embodiment, the target building is removed from the building layer using a face of interest recognition algorithm to obtain an effective building set, and the computer program when executed by the processor further performs the steps of:
determining a point of interest and a first interest surface from a building layer; the interest points are used for representing point-shaped elements of the target building, and the first interest surfaces are used for representing first-class planar elements of the target building;
Taking a buffer zone in a preset range around the interest point as a second interest surface; the second interest surface is used for representing a second class of planar elements of the target building;
generating a target building according to the first interest surface and the second interest surface;
the target building is removed from the building layer, resulting in an effective building set.
In one embodiment, the building shadow area is removed from each of the active buildings in the active building set using a mountain shadow algorithm to obtain an initial building active area, and the computer program when executed by the processor further performs the steps of:
for each effective building in the effective building set, converting vector data of the effective building into raster data to obtain an elevation distribution diagram of the effective building; the elevation distribution map comprises grids;
acquiring light source irradiation angle data, inputting the raster data of the effective building and the light source irradiation angle data into a mountain shadow algorithm for simulation, and generating raster values of grids in an elevation distribution diagram of the effective building;
determining the building shadow area of the effective building according to the grid value of each grid in the effective building;
and removing the building shadow area of each effective building from each effective building to obtain the initial building effective area.
In one embodiment, the effective area impact factors include non-building shading impact coefficients and availability coefficients for different types of buildings; calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor, wherein the computer program further realizes the following steps when being executed by the processor:
acquiring a non-building shadow influence coefficient and availability coefficients of different types of buildings;
classifying the effective areas of the initial buildings according to the building types to obtain target building types corresponding to the effective areas of the initial buildings;
obtaining a target availability coefficient corresponding to a target building type according to the target building type corresponding to the initial building effective area;
and calculating the effective area of the target building according to the effective area of the initial building, the non-building shadow influence coefficient and the target availability coefficient corresponding to the type of the target building.
In one embodiment, the non-building shading effect coefficients are obtained, and the computer program when executed by the processor further performs the steps of:
acquiring floors of a building in the effective area of an initial building and a normalized vegetation index; the normalized vegetation index is used to characterize non-building shadows;
Calculating the non-building shadow influence intensity according to the floors of the building in the effective area of the initial building and the normalized vegetation index; the non-building shadow influence intensity is used for representing the influence intensity of the non-building on the effective area of the target building;
and carrying out interpolation processing on the non-building shadow influence intensity to generate a non-building shadow influence coefficient.
In one embodiment, the photovoltaic power generation of the predetermined area is evaluated according to the target building effective area, and the computer program when executed by the processor further implements the steps of:
calculating the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel and the shielding coefficient of the photovoltaic panel according to the light source radiation parameter, the meteorological parameter and the installation parameter of the photovoltaic panel on the building roof in a preset time period;
calculating a temperature correction coefficient of the photovoltaic panel according to the peak power temperature coefficient of the photovoltaic panel and the ambient temperature of the position where the photovoltaic panel is positioned;
and evaluating the photovoltaic power generation capacity of the preset area according to the effective area of the target building, the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel, the shielding coefficient of the photovoltaic panel and the temperature correction coefficient of the photovoltaic panel.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to comply with the related laws and regulations and standards of the related countries and regions.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples represent only a few embodiments of the present application, which are described in more detail and are not thereby to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (11)
1. A method of photovoltaic power generation assessment, the method comprising:
acquiring a building layer corresponding to building contour data of a preset area;
removing invalid buildings and invalid areas on the buildings from the building layers to obtain initial building effective areas; the initial building effective area is used for indicating the effective area of a building roof;
Calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor;
and evaluating the photovoltaic power generation capacity of the preset area according to the effective area of the target building.
2. The method of claim 1, wherein the void building comprises a target building; the target building is used for indicating a building with a protection value; the removing the invalid building and the invalid area on the building from the building layer to obtain the initial building effective area comprises the following steps:
removing the target building from the building layer by adopting an interest surface recognition algorithm to obtain an effective building set;
and removing building shadow areas from each effective building in the effective building set by adopting a mountain shadow algorithm to obtain an initial building effective area.
3. The method of claim 2, wherein said removing the target building from the building layer using a face of interest recognition algorithm results in an effective building set comprising:
determining a point of interest and a first interest surface from the building layer; the interest points are used for representing point-shaped elements of the target building, and the first interest surfaces are used for representing first type plane-shaped elements of the target building;
Taking a buffer zone in a preset range around the interest point as a second interest surface; the second interest surface is used for representing a second class of planar elements of the target building;
generating the target building according to the first interest surface and the second interest surface;
and removing the target building from the building layer to obtain the effective building set.
4. A method according to claim 2 or 3, wherein said removing building shadow areas from each of said set of active buildings using a mountain shadow algorithm to obtain an initial building active area comprises:
for each effective building in the effective building set, converting vector data of the effective building into raster data to obtain an elevation distribution diagram of the effective building; the elevation distribution map comprises grids;
acquiring light source irradiation angle data, inputting the raster data of the effective building and the light source irradiation angle data into a mountain shadow algorithm for simulation, and generating raster values of grids in an elevation distribution diagram of the effective building;
determining the building shadow area of the effective building according to the grid value of each grid in the effective building;
And removing the building shadow area of each effective building from each effective building to obtain the initial building effective area.
5. A method according to any of claims 1-3, wherein the effective area impact factors include non-building shading impact coefficients and availability coefficients for different types of buildings; calculating the effective area of the target building according to the effective area of the initial building and the effective area influence factor, including:
acquiring the non-building shadow influence coefficients and the availability coefficients of the different types of buildings;
classifying the effective areas of the initial buildings according to building types to obtain target building types corresponding to the effective areas of the initial buildings;
obtaining a target availability coefficient corresponding to the target building type according to the target building type corresponding to the initial building effective area;
and calculating the effective area of the target building according to the effective area of the initial building, the non-building shadow influence coefficient and the target availability coefficient corresponding to the target building type.
6. The method of claim 5, wherein said obtaining said non-building shading coefficient comprises:
Acquiring floors of buildings and normalized vegetation indexes in the effective area of the initial building; the normalized vegetation index is used for characterizing non-building shadows;
calculating the non-building shadow influence intensity according to the floors of the building in the effective area of the initial building and the normalized vegetation index; the non-building shadow influence intensity is used for representing the influence intensity of a non-building on the effective area of a target building;
and carrying out interpolation processing on the non-building shadow influence intensity to generate the non-building shadow influence coefficient.
7. A method according to any one of claims 1-3, wherein said assessing photovoltaic power generation of said predetermined area from said target building effective area comprises:
calculating the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel and the shielding coefficient of the photovoltaic panel according to the light source radiation parameter, the meteorological parameter and the installation parameter of the photovoltaic panel on the building roof in a preset time period;
calculating a temperature correction coefficient of the photovoltaic panel according to the peak power temperature coefficient of the photovoltaic panel and the ambient temperature of the position where the photovoltaic panel is positioned;
And evaluating the photovoltaic power generation capacity of the preset area according to the effective area of the target building, the photovoltaic power generation utilization rate of the building roof, the total radiation quantity of the photovoltaic panel, the shielding coefficient of the photovoltaic panel and the temperature correction coefficient of the photovoltaic panel.
8. A photovoltaic power generation amount evaluation apparatus, characterized in that the apparatus comprises:
the data acquisition module is used for acquiring a building layer corresponding to building contour data of a preset area;
the initial building effective area acquisition module is used for removing invalid buildings and invalid areas on the buildings from the building layers to obtain initial building effective areas; the initial building effective area is used for indicating the effective area of a building roof;
the target building effective area calculating module is used for calculating the effective area of the target building according to the initial building effective area and the effective area influence factor;
and the photovoltaic power generation amount evaluation module is used for evaluating the photovoltaic power generation amount of the preset area according to the effective area of the target building.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
11. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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| CN117035441A (en) * | 2023-07-05 | 2023-11-10 | 南京工业职业技术大学 | Evaluation method for energy conservation and loss reduction of power line |
| CN117035441B (en) * | 2023-07-05 | 2024-03-12 | 南京工业职业技术大学 | Evaluation method for energy conservation and loss reduction of power line |
| CN118195287A (en) * | 2024-05-20 | 2024-06-14 | 四川远瞻赢实业集团有限公司 | Intelligent measuring method for building design |
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