A method for evaluating urban solar energy utilization resources and analyzing development potential

Abstract

The present invention discloses a method for evaluating urban solar energy utilization resources and analyzing development potential in the field of power technology, comprising the following steps: data preparation, including the vector data of the building outlines in the target urban area and the initial data of the available area of the building roofs in Nanjing urban area; evaluating the photovoltaic available area of the building roofs based on the threshold and solar radiation distribution analysis; further calculating and analyzing the photovoltaic development potential of the urban building roof space in combination with the installation method of photovoltaic modules; verifying and restoring the analysis method in web design to realize the visualization of the method. The method of the present invention analyzes the solar radiation distribution of the building roofs in the target urban area, evaluates the photovoltaic available degree through the threshold, divides the available area of the roofs into non-available areas for photovoltaic, relatively suitable areas for utilization, and suitable areas for utilization. At the same time, the photovoltaic available area is calculated, which can be used to discover and evaluate the building roofs with great photovoltaic power generation development potential.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power, and particularly relates to a method for evaluating urban solar energy utilization resources and analyzing development potential. Background Technique

[0002] Since the 21st century, with the rapid development of the global social economy and the continuous improvement of the urbanization level, the energy demand worldwide has increased significantly. At present, due to the accelerating consumption of fossil energy, the power generation method dominated by conventional energy has caused serious impacts on the ecological environment and energy security. The transformation of the world's energy is an inevitable choice to achieve national and regional energy security and energy guarantee. Compared with fossil energies such as coal, oil, and natural gas, the use of renewable energy meets the requirements for the sustainable development of the world's energy today. For cities with huge energy consumption, improving the energy structure and increasing the use of renewable energy is the trend of future development.

[0003] Benefiting from the increasingly mature technology and the support of relevant policies, the financing cost of renewable energy projects in the world's major markets has decreased significantly, and photovoltaics has officially entered the era of parity. Solar energy will become the mainstream power source in the future. In the urban environment, solar energy is the most common clean energy. Different from the application scenarios of large-scale solar photovoltaic power stations, due to the shortage of urban land resources, building a distributed photovoltaic power generation system is the most effective way for cities to utilize solar energy. Considering that there are many factors affecting solar radiation, it is of great significance to conduct relevant predictions on the power generation of solar photovoltaic for ensuring the rational use of energy. Currently, distributed photovoltaic power generation projects based on solar energy utilization dominate the field of distributed energy construction. Conducting research on relevant solar energy utilization resources and development potential in cities is of great significance for the local development and utilization of clean energy resources. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide a method for evaluating urban solar energy utilization resources and analyzing development potential to solve the problems raised in the above background technique.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A method for evaluating urban solar energy utilization resources and analyzing development potential includes the following steps:

[0007] Step 1, data preparation, including the vector data of the building outlines in the target urban area and the initial data of the available area of the building roofs in the Nanjing urban area;

[0008] Step 2, based on the threshold and solar radiation distribution analysis, evaluate the photovoltaic available area of the building roofs;

[0009] Step 3: Further calculate and analyze the photovoltaic development potential of the urban building roof space in combination with the installation method of the photovoltaic modules according to the analysis in Step 2;

[0010] Step 4: Verify and restore the analysis method in web design to realize the visualization of the method.

[0011] Preferably, Step 2 includes the division of buildings in the target urban area, the calculation of the available area of the roofs of the target buildings, and the evaluation of the available photovoltaic area based on a threshold.

[0012] Preferably, the division of buildings in the target urban area includes geographical location zoning and building property classification.

[0013] Preferably, Step 3 includes analyzing the solar energy resources at the urban scale using the PVsyst database, calculating the effective area of the photovoltaic modules, and predicting the photovoltaic power generation benefits.

[0014] Preferably, the calculation of the effective area of the photovoltaic modules includes the inclination angle of the photovoltaic modules, the roof coverage rate, and the effective area of the photovoltaic modules on the roofs of the buildings in the target urban area.

[0015] Preferably, the prediction of the photovoltaic power generation benefits calculates the power generation amount through the area of the photovoltaic modules.

[0016] An urban solar energy utilization resource evaluation and development potential analysis system includes

[0017] A processing unit for running the programs stored in the system memory and controlling the connected external devices;

[0018] A system memory for storing the programs of the program modules, utilities, and computer-readable data, wherein the program modules include an operating system, application programs, and the data of the application programs;

[0019] A network adapter for providing network communication for the system.

[0020] An urban solar energy utilization resource evaluation and development potential analyzer stores the program of the urban solar energy utilization resource evaluation and development potential analysis system.

[0021] Advantages of the present invention:

[0022] 1. The method of the present invention uses ArcGIS to analyze the solar radiation distribution on the roofs of the buildings in the target urban area, and evaluates the available photovoltaic degree through a threshold, dividing the available roof area into non-available areas for photovoltaic, relatively suitable areas for utilization, and suitable areas for utilization. At the same time, the available photovoltaic area is calculated, which can be used to discover and evaluate the roofs with great potential for photovoltaic power generation development;

[0023] 2. The method of the present invention analyzes the main factors affecting the effective area of photovoltaic modules, predicts the photovoltaic power generation of the rooftops of buildings in the target urban area at the optimal tilt angle of 25°, and further quantifies the benefits brought by photovoltaic power generation;

[0024] 3. According to the research results, the method of the present invention designs a Web page, provides more abundant choices in terms of solar radiation data and photovoltaic module configuration, gives the photovoltaic power generation benefits in other cases, enriches the research results, and realizes the visualization of the research results. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0026] Figure 1 It is the flowchart of the method of the present invention;

[0027] Figure 2 It is the solar radiation distribution diagram of a local area in Xinjiekou, Nanjing in the embodiment of the present invention;

[0028] Figure 3 It is the monthly meteorological data diagram of Nanjing in the embodiment of the present invention;

[0029] Figure 4 It is the inclined plane radiation amount diagram at different tilt angles in Nanjing in the embodiment of the present invention;

[0030] Figure 5 It is the power contribution rate diagram of photovoltaic power generation on the rooftops of buildings in each administrative region of Nanjing urban area in the embodiment of the present invention;

[0031] Figure 6 It is the available area diagram of the rooftops of buildings in Nanjing urban area in the embodiment of the present invention;

[0032] Figure 7 It is the web page function distribution diagram in the embodiment of the present invention;

[0033] Figure 8 It is the login page diagram in the embodiment of the present invention;

[0034] Figure 9 It is the rooftop area calculation diagram in the embodiment of the present invention;

[0035] Figure 10 It is the function area diagram for importing solar radiation data in the embodiment of the present invention;

[0036] Figure 11 It is the function area diagram for selecting configuration information in the embodiment of the present invention;

[0037] Figure 12 It is the photovoltaic power generation prediction function area diagram in the embodiment of the present invention;

[0038] Figure 13 It is the web page operation result diagram in the embodiment of the present invention;

[0039] Figure 14 It is the exemplary device diagram in the embodiment of the present invention. Detailed implementation manners

[0040] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0041] Please refer to Figure 1 As shown, this embodiment proposes a method for evaluating urban solar energy utilization resources and analyzing development potential, including the following steps:

[0042] Step 1, data preparation, including the vector data of the building outlines in the target urban area and the initial data of the available area of the building roofs in the urban area of Nanjing;

[0043] Step 2, based on the threshold and solar radiation distribution analysis, evaluate the photovoltaic available area of the building roofs:

[0044] Specifically, it includes the division of buildings in the target urban area, the calculation of the available area of the target building roofs, and the evaluation of the photovoltaic available area based on the threshold:

[0045] The division of buildings in the target urban area includes geographical location zoning and building property classification:

[0046] The overall urban planning can effectively reflect the spatial development strategy of a city. At the same time, the overall planning limits the focus of urban development, and it plays an important role in promoting the development of local areas and the clustering effect of buildings. The central urban area pointed out in the overall planning has a relatively high development level, and the buildings in this area usually show the characteristics of relatively high floors and large scales. When considering the available area of the building roofs, such building characteristics will affect the distribution of equipment and facilities on the building roofs. Therefore, the central area needs to be considered independently.

[0047] For buildings in specific land use types in the city, there are also their own characteristics in terms of building form and available roof space. Urban construction land can be mainly divided into 8 categories. Among them, buildings in public management and public service land and commercial service business facility land have similar characteristics and can be combined into public and commercial land. At the same time, the building types in warehousing and logistics land and industrial land are similar and can be unified as industrial land, and the same value is used when considering the reduction coefficient. In addition, another major land use type in the city is residential land.

[0048] The available area of the roof of the target building is calculated as follows;

[0049] The ArcGIS series of software provides a fully functional GIS platform. ArcMap is mainly used in this patent.

[0050] The building base contour data is the basic data of the present invention. Two coefficients f 1 and f 2 need to be introduced to calculate the available roof area through the building base contour area, as shown in the following formula:

[0051] A roof = f 1 × f 2 × A base

[0052] In the formula: A roof is the available roof area, f 1 is the conversion coefficient of the actual roof area, f 2 is the conversion coefficient of the available roof area, and A base is the building base contour area.

[0053] Manually draw areas to select the buildings in the corresponding areas. After exporting them separately again, the building data of the corresponding partitions can be obtained. At this time, through the statistical function in the attribute table, the data of the area field is statistically analyzed to obtain the building base contour areas of each area respectively.

[0054] The evaluation of the available photovoltaic area based on the threshold is as follows:

[0055] When considering the available area of photovoltaic modules in the roof space, only by installing photovoltaic modules in areas that meet a certain solar radiation intensity can the balance between economic input and output throughout their life cycle be ensured. The minimum solar radiation amount that can achieve this balance is called the threshold.

[0056] Taking the threshold as the standard to measure the installation value of photovoltaic modules is a relatively common method. This article considers inventing the available photovoltaic area by calculating the theoretical threshold, as shown in the following formula:

[0057]

[0058] where t is the threshold value (kWh / m 2 ·year), η is the efficiency of the photovoltaic module (%), λ is the operating efficiency of the photovoltaic system (%), C electricity is the feed-in tariff for photovoltaic power (RMB / kWh), T is the service life of the photovoltaic system (years), and C cost is the cost of the photovoltaic system over its entire life cycle (RMB / m 2 ).

[0059] The required threshold value is calculated through the formula. First, the four variables on the right side of the equation need to be determined one by one. Among them, both the efficiency of the photovoltaic module and the cost of the photovoltaic system are related to the selection of the photovoltaic module. In this paper, polycrystalline silicon photovoltaic modules are selected as the object for further invention, and the module efficiency is set at 16%. At the same time, the invention shows that the power density of polycrystalline silicon photovoltaic modules on the market is about 160 W / m 2 . According to the statistical invention of Manish Kumar on the performance of photovoltaic systems, the operating efficiency of photovoltaic systems is basically in the range of 80% - 90%. In this invention, the operating efficiency is taken as 85%.

[0060] Step 3: Further calculate and analyze the photovoltaic development potential of the roof space of urban buildings in combination with the installation method of photovoltaic modules based on the analysis in Step 2:

[0061] Specifically, it includes analyzing solar energy resources at the urban scale using the PVsyst database, calculating the effective area of photovoltaic modules, and predicting the benefits of photovoltaic power generation:

[0062] The analysis of solar energy resources at the urban scale using the PVsyst database includes:

[0063] PVsyst is a photovoltaic system simulation software, mainly used for the modeling and simulation of photovoltaic power generation systems. It can analyze various factors affecting the photovoltaic power generation amount and obtain the corresponding photovoltaic system power generation amount. At the same time, PVsyst contains various meteorological databases such as MeteoNorm and NASA - SEE, and integrates some practical quantitative and qualitative analysis tools, including functions such as inclined plane irradiance calculation and shadow occlusion analysis.

[0064] The calculation of the effective area of photovoltaic modules includes the inclination angle of photovoltaic modules, the roof coverage rate, and the effective area of photovoltaic modules on the roofs of buildings in the target urban area:

[0065] The calculation of the inclination angle of photovoltaic modules and the roof coverage rate is as follows:

[0066] When installing photovoltaic modules at a certain inclination angle, in order to avoid the decrease in power generation efficiency caused by shadow occlusion, a certain distance needs to be maintained between the modules. Therefore, the available photovoltaic area calculated above is not equal to the surface area of the photovoltaic modules, and the proportionality coefficient between the two is the roof coverage rate of the photovoltaic modules, as shown in the following formula;

[0067]

[0068] In the formula, GCR is the roof coverage rate, c is the width of the photovoltaic module (m), d is the distance between the photovoltaic modules (m), β is the installation inclination angle (°), b is the gap distance between the photovoltaic modules (m), and a is the height of the photovoltaic module (m).

[0069] It is not difficult to see that for the same photovoltaic module, when the installation inclination angle of the module increases, in order to ensure the sunshine time on the winter solstice, the required gap distance between the modules must also increase accordingly, resulting in a decrease in the roof coverage rate.

[0070] The effective area of the photovoltaic modules on the roofs of buildings in the target urban area is calculated as follows:

[0071] After analyzing the roof coverage rate of the photovoltaic modules, two reduction coefficients affecting the effective area of the photovoltaic modules are determined. At this time, the effective area of the photovoltaic modules on the building roofs corresponding to different inclination angles can be calculated to prepare for the next evaluation of the photovoltaic power generation benefit, as shown in the following formula:

[0072] A surface = GCR × SA × A pv

[0073] In the formula, A surface is the effective area of the photovoltaic module (10,000 m 2 ), GCR is the roof coverage rate, SA is the channel reduction coefficient, and A pv is the available photovoltaic area (10,000 m 2 ).

[0074] The prediction of the photovoltaic power generation benefit includes the prediction of the photovoltaic power generation amount on the roofs of buildings in the target urban area, including:

[0075] At present, there are mainly two specifications for the polycrystalline silicon photovoltaic modules produced by mainstream domestic manufacturers, namely 60-cell modules and 72-cell modules. The ranges of some parameters are shown in Table 1, the parameters of mainstream polycrystalline silicon photovoltaic modules:

[0076] Table 1

[0077]

[0078] The photovoltaic potential analysis of this invention at the urban level is to provide reference and prediction for the large-scale deployment of photovoltaic modules in the future. Therefore, the calculation of the photovoltaic power generation on building roofs in this article does not target specific photovoltaic modules. At the same time, considering that the power density of common polycrystalline silicon photovoltaic modules in China is similar, this article takes the 60-piece module as an example, with a capacity of 250W and a size of 1650×990mm 2 ,

[0079] The formula for calculating the power generation through the area of the photovoltaic module is as follows:

[0080] E p =A surface ×G t ×λ×η

[0081] In the formula, E p is the annual power generation of the photovoltaic system (kWh), A surface is the effective area of the photovoltaic module (m 2 ²), G t is the surface radiation of the photovoltaic module (kWh / m 2 ²), η is the efficiency of the photovoltaic module (%), and λ is the operating efficiency of the photovoltaic system (%).

[0082] Step 4. Restore the analysis method used in this invention in web page design and realize the visualization of the invention results:

[0083] Web page design provides richer options in terms of solar radiation data and photovoltaic module configuration, gives the photovoltaic power generation benefits in other cases, and verifies the accuracy of the calculation results. At the same time, by restoring the analysis method used in this research in web page design, the research results are enriched and the visualization of the research results is realized.

[0084] 4.1 Calculation and generation of data

[0085] Before web page design, it is necessary to calculate and sort out the data generated in the process of analyzing the available potential of building roofs for photovoltaic in the target urban area. Based on the vector data of the building base contour, after classifying and dividing the buildings in the target urban area, the available area of the building roofs in each administrative region is calculated using the conversion coefficient. Then, by introducing the concept and calculation formula of the threshold, an evaluation method of the available degree of photovoltaic is established with the threshold as the standard, and combined with the solar radiation distribution simulated by ArcGIS, the available space of photovoltaic on the building roofs in Nanjing urban area is analyzed, so as to obtain the available area of photovoltaic on the building roofs.

[0086] In addition, this paper considers the influencing factors in the actual installation of photovoltaic modules, including the installation inclination angle, roof coverage rate, necessary passage space, and the amount of solar radiation on the inclined plane. After fully analyzing the utilization of the roof space by the photovoltaic modules, the available area of the photovoltaic modules can be calculated using a formula, and then the photovoltaic power generation amount of the building roof and its various environmental benefits can be further obtained.

[0087] 4.2. Web page design:

[0088] 4.2.1. Introduction to web page functions:

[0089] Integrate the content that provides basic data support for the photovoltaic potential analysis in the research and place it on the basic data page, which is conducive to users' understanding and knowledge of the main content and influencing factors considered in this research. For the thresholds mentioned above and the inclination angle, module type, and solar radiation data source considered in the analysis of the photovoltaic module installation method, since these parameters directly affect the benefit analysis of photovoltaic power generation and have a certain degree of selectivity, they are unified and integrated on the benefit evaluation page during web page design to facilitate the modification and viewing of various configuration information.

[0090] This paper considers using common Internet web pages as the carrier and making full use of the characteristics that statistical charts can convey information more vividly and effectively. Through Axure software, relevant Web page design is carried out on the research results of the photovoltaic potential of building roofs in Nanjing urban area. Considering the interactive requirements of the web page, the selection of solar radiation data source, polycrystalline silicon photovoltaic module type, photovoltaic module installation inclination angle, and threshold is added during the web page design process. Among them, according to the database of PVsyst, two options, MeteoNorm 8.0 and NASA-SEE, are provided for the solar radiation data source in Nanjing.

[0091] 4.2.2. Verification of calculation results:

[0092] After completing the design of the web page functions, it is necessary to verify the calculation results to ensure the correct implementation of relevant functions. In this study, MeteoNorm 8.0 is used as the solar radiation data source, the radiation threshold is selected as 990.40 kWh / m2, and the photovoltaic module models in each administrative region of Nanjing urban area are all selected as 250W (60 pieces), and the installation inclination angle is all selected as 0°, to test the photovoltaic power generation prediction results in this configuration.

[0093] To verify the feasibility of the method for evaluating urban solar energy utilization resources and analyzing development potential proposed in this paper, in this embodiment, the building contour data of Nanjing is loaded in the ArcGIS software. The building contour data of five districts, namely Gulou, Xuanwu, Jianye, Qinhuai, and Yuhuatai, are selected using the vector range of the administrative boundaries of each district in Nanjing. After export, the vector data of the building contours in the urban area of Nanjing within the scope of the present invention can be obtained. However, at this time, the function of calculating geometric area cannot be directly run. It is necessary to first perform a projection transformation on the map data to convert the geographical coordinate system in the original space into a projection coordinate system on the plane. The geographical location of Nanjing is at 31°14′ - 32°37′ north latitude and 118°22′ - 119°14′ east longitude, and the corresponding Mercator projection zone is WGS_1984_UTM_Zone_50N. After the coordinate system projection is achieved, open the attribute table of the building vector data, add an area field, and run the area calculation function in the calculation geometry for this field. After completion, the roof areas of each building in the urban area of Nanjing can be obtained. The calculation result shows that the total available area of the building roofs in the urban area of Nanjing is 25.109 million m 2 .

[0094] Through the solar radiation function in the spatial analysis tool of the ArcGIS software, it is possible to simulate the distribution of solar radiation on the building roofs in the urban area of Nanjing. This function fully considers the change in radiation caused by the shadow occlusion due to the height difference of buildings during the simulation of solar radiation. Before running the solar radiation area, the height data of the buildings needs to be obtained first. By observing this raster data, the solar radiation situation received by the building roofs in the urban area of Nanjing can be generally understood. Among them, the solar radiation distribution in the local area of Xinjiekou is as Figure 2 shown.

[0095] The average annual horizontal solar radiation in Nanjing is 1217 kWh / m 2 , belonging to Class C areas with rich solar energy resources and having suitable conditions for solar photovoltaic power generation. In the PVsyst software, the monthly meteorological data of the Nanjing area can be obtained, as Figure 3 shown.

[0096] The data of the inclined-plane solar radiation used in this paper comes from the database MeteoNorm 8.0 of PVsyst. The inclined-plane radiation at different tilts in the Nanjing area obtained through this database is as Figure 4 shown.

[0097] It can be found through Figure 4 that when the tilt angle of the photovoltaic module is between 20° and 30°, the annual total radiation per unit area can reach the maximum value, and at this time, the power generation per unit area of the photovoltaic module can also reach the maximum.

[0098] Combined with the results calculated above, a further analysis is carried out on the photovoltaic power generation benefits of building roofs at the optimal inclination angle. According to the information in the Nanjing Statistical Yearbook, the total permanent population of Nanjing in 2020 was 9.3197 million, the total electricity consumption of the whole society reached 63.294 billion kWh, and the per capita electricity consumption was about 6791.45 kWh. Estimated at this level, the total electricity consumption of the whole society in the main urban area of Nanjing was 22846.43 GWh. It is predicted that when the components are installed at the optimal inclination angle, the photovoltaic power generation of building roofs in Nanjing urban area can meet about 9.49% of the local electricity consumption. The specific photovoltaic power contribution rates of each administrative region are as Figure 5 shown.

[0099] Based on the vector data of the building base outline, after classifying and zoning the buildings in Nanjing urban area, the available area of building roofs in each administrative region is calculated using the conversion coefficient, as Figure 6 shown.

[0100] Integrate the content in the invention that provides basic data support for photovoltaic potential analysis and place it on the basic data page, which is conducive to users' understanding and knowledge of the main content and influencing factors considered in this invention. When designing the web page, it is unified and integrated on the benefit evaluation page to facilitate the modification and viewing of various configuration information. The specific web page function structure is as Figure 7 shown, Figure 8 and Figure 9 partially shows the login page and the basic data page.

[0101] In the selection configuration information column, the component model and inclination angle can be set separately for different administrative regions in Nanjing urban area. After clicking the configuration button, the photovoltaic power generation benefits of Nanjing urban area will be listed in the photovoltaic power generation prediction column, and relevant charts will be drawn and displayed. The division of each functional area is as Figure 10 shown. Figure 11 is the function area diagram of the selection configuration information of the present invention, Figure 12 is the function area diagram of the photovoltaic power generation prediction of the present invention.

[0102] After completing the design of the web page functions, it is necessary to verify its calculation results to ensure the correct implementation of relevant functions. In this invention, MeteoNorm 8.0 is used as the source of solar radiation data, the radiation threshold is selected as 990.40 kWh / m2, and the photovoltaic module models in each administrative region of Nanjing urban area are all selected as 250 W (60 pieces), and the installation inclination angle is all selected as 0°, to test the photovoltaic power generation prediction results in this configuration. The web page operation results are as Figure 13 shown.

[0103] Figure 14It is a schematic diagram of the device structure of the urban solar energy utilization resource evaluation and development potential analysis method provided by the embodiments of the present invention. The embodiments of the present invention provide services for the implementation of the matching and clearing calculation method in the above embodiments of the present invention, and can configure the computing power calculation device in the above embodiments. Figure 14 A block diagram of an exemplary device 12 suitable for use in implementing the embodiments of the present invention is shown. Figure 14 The device 12 shown is merely an example and should not impose any limitation on the functions and usage scope of the embodiments of the present invention.

[0104] As Figure 14 shown, the device 12 is presented in the form of a general-purpose computing device. The components of the device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 connecting different system components (including the system memory 28 and the processing unit 16).

[0105] The bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus structures. By way of example, these architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

[0106] The device 12 typically includes a variety of computer system-readable media. These media can be any available media accessible by the device 12, including volatile and non-volatile media, removable and non-removable media.

[0107] The system memory 28 may include computer system-readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, a storage system 34 may be used for reading and writing non-removable, non-volatile magnetic media (commonly referred to as a "hard disk drive"). Although Figure 14 not shown in the figure, a disk drive for reading and writing removable non-volatile disks (such as "floppy disks") and an optical disk drive for reading and writing removable non-volatile optical disks (such as CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 through one or more data media interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0108] A program / utilities 40 having a set (at least one) of program modules 42 can be stored, for example, in a memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include the implementation of a network environment. The program modules 42 generally execute the functions and / or methods in the embodiments described in the present invention.

[0109] The device 12 can also communicate with one or more external devices 14 (such as a keyboard, a pointing device, a display 24, etc.), and can also communicate with one or more devices that enable a user to interact with the device 12, and / or communicate with any device that enables the device 12 to communicate with one or more other computing devices (such as a network card, a modem, etc.). Such communication can be carried out through an input / output (I / O) interface 22. Moreover, the device 12 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 20. As Figure 14 shown, the network adapter 20 communicates with other modules of the device 12 through a bus 18. It should be understood that although not shown in the figure, other hardware and / or software modules can be used in combination with the device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0110] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the matching and clearing calculation method provided by the embodiments of the present invention.

[0111] Through the above devices, the problem of low data calculation efficiency is solved, providing a more efficient calculation tool for the perception of real-time situations and the planning of resources, so as to maximize the utilization efficiency and benefits of resources.

[0112] The embodiments of the present invention also provide a storage medium, which is a storage medium containing computer-executable instructions. The computer-executable instructions are used to execute a matching and clearing calculation method when executed by a computer processor. The method includes:

[0113] Obtain the measured state parameters of the observed object, and input the measured state parameters into the calculation model completed by real-time training.

[0114] The computer storage medium of the embodiments of the present invention may adopt any combination of one or more computer-readable media. The computer-readable media may be computer-readable signal media or computer-readable storage media. The computer-readable storage media may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, the computer-readable storage media may be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device.

[0115] The computer-readable signal media may include data signals propagated in a baseband or as part of a carrier wave, which carry computer-readable program codes. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal media may also be any computer-readable medium other than the computer-readable storage media, and this computer-readable medium can send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device.

[0116] The program codes contained on the computer-readable media can be transmitted by any appropriate medium, including but not limited to wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0117] The computer program codes for performing the operations of the present invention can be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program codes can be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0118] A storage medium containing computer-executable instructions provided by an embodiment of the present invention, the computer-executable instructions are not limited to the above method operations, and can also execute related operations in the matching and clearing calculation method provided by any embodiment of the present invention.

[0119] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the specific implementation manners of the present invention can still be modified or equivalently replaced, and any modification or equivalent replacement without departing from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. A method for evaluating urban solar energy utilization resources and analyzing development potential, characterized in that, it includes the following steps: Step 1, data preparation, including the vector data of the building outlines in the target urban area and the initial data of the available area of the building roofs in the Nanjing urban area; Step 2, based on the threshold and solar radiation distribution analysis, evaluate the photovoltaic available area of the building roofs; Step 3, further combine the installation method of photovoltaic modules according to the analysis in Step 2 to calculate and analyze the photovoltaic development potential of the urban building roof space; Step 4, verify and restore the analysis method in web design to realize the visualization of the method; The said Step 3 includes analyzing solar energy resources at the urban scale using the PVsyst database, calculating the effective area of photovoltaic modules, and predicting the power generation benefit of photovoltaic power generation; The calculation of the effective area of the photovoltaic module includes the inclination angle of the photovoltaic module, the roof coverage rate, and the effective area of the photovoltaic module on the building roof in the target urban area: The calculation of the inclination angle of the photovoltaic module and the roof coverage rate is as follows; In the formula, GCR is the roof coverage rate, c is the width of the photovoltaic module, d is the spacing between photovoltaic modules, β is the installation inclination angle, b is the gap distance between photovoltaic modules, and a is the height of the photovoltaic module; The calculation of the effective area of the photovoltaic module on the building roof in the target urban area is as follows: A surface = GCR × SA × A pv Where A surface is the effective area of the photovoltaic module, GCR is the roof coverage rate, SA is the channel reduction coefficient, and A pv is the available area for photovoltaics; The prediction of the power generation benefit of photovoltaic power generation calculates the power generation amount through the area of the photovoltaic module, as follows: E p = A surface × G t × λ × η Where, E p is the annual power generation of the photovoltaic system, A surface is the effective area of the photovoltaic module, G t is the radiation amount on the surface of the photovoltaic module, η is the efficiency of the photovoltaic module, and λ is the operating efficiency of the photovoltaic system.

2. A method for evaluating urban solar energy utilization resources and analyzing development potential according to claim 1, characterized in that, the said Step 2 includes the division of buildings in the target urban area, the calculation of the available area of the target building roof, and the evaluation of the photovoltaic available area based on the threshold.

3. A method for evaluating urban solar energy utilization resources and analyzing development potential according to claim 2, characterized in that, the division of buildings in the target urban area includes geographical location zoning and building property classification.

4. A method for evaluating urban solar energy utilization resources and analyzing development potential according to claim 2, characterized in that, the calculation of the available area of the target building roof is as follows; A roof = f 1 × f 2 × A base Where: A roof is the available roof area, f 1 is the conversion coefficient of the actual roof area, f 2 is the conversion coefficient of the available roof area, A base is the building base outline area.

5. A method for evaluating urban solar energy utilization resources and analyzing development potential according to claim 2, characterized in that, the evaluation of the photovoltaic available area based on the threshold is as follows: where t is the threshold, η is the efficiency of the photovoltaic module, λ is the operating efficiency of the photovoltaic system, C electricity is the feed-in tariff of the photovoltaic power, T is the service life of the photovoltaic system, C cost is the cost of the photovoltaic system over its entire life cycle.

6. A system for executing the method for evaluating urban solar energy utilization resources and analyzing development potential according to any one of claims 1-5, characterized in that, it includes a processing unit for running the program stored in the system memory and controlling the connected external devices; a system memory for storing the programs of program modules, utilities, and computer-readable data, wherein the program modules include an operating system, application programs, and the data of the application programs; a network adapter for providing network communication for the system.

7. An analyzer for evaluating urban solar energy utilization resources and analyzing development potential, storing the program of the system for evaluating urban solar energy utilization resources and analyzing development potential according to claim 6.

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