Distributed tracking photovoltaic array installation utilization potential calculation method and system

Abstract

The invention relates to the technical field of photovoltaic power generation, in particular to a distributed tracking photovoltaic array installation utilization potential calculation method and system, and the method comprises the steps: obtaining a design scheme of a photovoltaic array according to the information of a target building; simulating to obtain wind heat environment data of each photovoltaic module in the photovoltaic array, and obtaining a surface heat exchange coefficient of the photovoltaic module; according to the design and installation scheme of the photovoltaic array and the single-day environment parameters, the photovoltaic module power generation power is obtained by combining the surface heat exchange coefficient of the photovoltaic module; obtaining the total generation power of the photovoltaic array according to the number of the photovoltaic modules; obtaining the total generation power in the life cycle of the photovoltaic array according to the life cycle of the photovoltaic module, the annual attenuation characteristic parameters of the photovoltaic module and the total generation power of the photovoltaic array; and obtaining the recovery period of the photovoltaic array according to the electricity transaction and carbon transaction earnings, thereby achieving the technical effect of evaluating the installation and utilization potential of the distributed tracking photovoltaic array.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic power generation technology, and in particular to a method and system for calculating the installation utilization potential of a distributed tracking photovoltaic array. Background Art

[0002] The roofs of urban and rural buildings are excellent light receiving areas with good solar energy application value. Distributed tracking photovoltaic arrays have the advantages of flexibility and convenience, and can significantly reduce the application of traditional electricity, effectively promoting the green and zero-carbon development of buildings. At present, the country has issued many policies to encourage distributed photovoltaic application technologies, and photovoltaic building integration technology is also an important development direction for the country in the future. Distributed tracking photovoltaic arrays can increase the amount of light radiation by about 10%, effectively increasing the power generation of photovoltaic modules. However, the rows of photovoltaic modules in the distributed tracking photovoltaic array are constantly moving, combined with the mutual influence of the front and rear rows, so that the surface heat exchange of photovoltaic modules in each area is differentially distributed, resulting in uneven power generation performance of the photovoltaic array and inaccurate power generation performance estimation of the photovoltaic array. Therefore, how to accurately estimate and design distributed tracking photovoltaic arrays according to local conditions requires further research.

[0003] At present, there are performance calculation methods for distributed tracking photovoltaic arrays of buildings based on fixed angles (for example, announcement number CN117291478B, patent name photovoltaic system carbon emission reduction calculation method and device, storage medium, computer equipment), annual average solar radiation (for example, CN117911876B, patent name photovoltaic utilization potential calculation method and device, storage medium, electronic device), etc. Since the air flow pattern of the photovoltaic array on the roof of the building has upstream to downstream obstruction, the air flow state on the roof of the building and the photovoltaic array surface will be unevenly distributed, resulting in a sudden change in the forced convection heat transfer coefficient between the roof surface and the upper and lower surfaces of the photovoltaic components in each area (for example, the front row, side, center, tail, etc. of the array). At the same time, the calculation method in the prior art does not take into account that the above-mentioned wind environment differences will affect the power generation performance of each photovoltaic panel, thereby inaccurately predicting the total power generation performance of the entire distributed tracking photovoltaic array, and thus there is a deficiency in being unable to accurately evaluate the life installation utilization potential of the tracking distributed photovoltaic array. Summary of the invention

[0004] In view of this, the purpose of the present application is to provide a method and system for calculating the installation utilization potential of a distributed tracking photovoltaic array, so as to achieve the technical effect of evaluating the installation utilization potential of a distributed tracking photovoltaic array.

[0005] The first aspect of the embodiment of the present application discloses a method for calculating the installation utilization potential of a distributed tracking photovoltaic array, including:

[0006] S1. Obtain the design scheme of the distributed tracking photovoltaic array according to the target building information;

[0007] S2, simulate and obtain the wind and heat environment data of each photovoltaic module in the distributed tracking photovoltaic array, and obtain the surface heat transfer coefficient of the photovoltaic module;

[0008] S3, obtaining the photovoltaic module power generation power according to the design and installation plan of the distributed tracking photovoltaic array and the single-day environmental parameters, and in combination with the surface heat transfer coefficient of the photovoltaic module;

[0009] S4. According to the number of photovoltaic modules, the total power generation power of the distributed tracking photovoltaic array is obtained;

[0010] S5. Obtaining the total power generation power of the distributed tracking photovoltaic array within its life cycle according to the photovoltaic module life cycle and the photovoltaic module annual attenuation characteristic parameters and the total power generation power of the distributed tracking photovoltaic array;

[0011] S6. Obtain the payback period of the distributed tracking photovoltaic array based on the income from electricity trading and carbon trading, and evaluate the installation and utilization potential of the distributed tracking photovoltaic array based on the payback period of the distributed tracking photovoltaic array.

[0012] In one embodiment, step S2 includes:

[0013] S21. The wind speed test value V of each photovoltaic module surface under different wind speed and wind direction conditions is obtained through the photovoltaic array wind tunnel test platform test. S ;

[0014] S22. Use fluid mechanics software to establish a photovoltaic array wind environment model and simulate the simulated value V of the wind speed on the surface of each photovoltaic module under different wind speeds and wind directions. m , verify V s With V m When the error between them is less than or equal to 10%, the surface heat transfer coefficient of the photovoltaic module can be obtained through the parameters provided by the photovoltaic array wind environment model;

[0015] S23, the surface heat transfer coefficient of the photovoltaic module is obtained by calculation formula (1); the calculation formula (1) is:

[0016] h pv_i =a i +b i v i (1)

[0017] Among them, h pv_i is the heat transfer coefficient of the photovoltaic module surface, a i With b iis the linear equation parameter of the heat transfer coefficient of the photovoltaic module, which can be obtained by simulating the photovoltaic array wind environment model verified in step 22, v i is the wind speed on the surface of the photovoltaic module, which can be obtained by simulating the photovoltaic array wind environment model verified in step 22.

[0018] In one embodiment, the step S3 includes obtaining the power generated by the photovoltaic module by calculating formulas (2) and (3), and the calculation formulas (2) and (3) are:

[0019]

[0020] E pv_i =ζGτη r (1-B r (T pv_i -T))(3)

[0021] Among them, d pv With d g are the thickness of the photovoltaic cell and the glass substrate respectively; ρ pv and ρ g are the density of photovoltaic cells and glass substrate respectively; C pv With C g are the specific heat capacities of the photovoltaic cell and the glass substrate respectively; T air _i and T pv_i are the air and photovoltaic module temperatures respectively; G is the light intensity; (τα) is the light transmittance of the glass substrate; h pv_i is the surface heat transfer coefficient of the photovoltaic module; E pv_i The power generated by photovoltaic modules.

[0022] In one embodiment, step S4 includes obtaining the total power generation power of the distributed tracking photovoltaic array by using calculation formula (4), and the calculation formula (4) is:

[0023]

[0024] Among them, E pv_t is the total power generation of the distributed tracking photovoltaic array, E pv_i is the power generated by the photovoltaic modules, and n is the number of photovoltaic modules.

[0025] In one embodiment, step S5 includes obtaining the total power generation of the distributed tracking photovoltaic array during its life cycle by using calculation formula (5), and the calculation formula (5) is:

[0026]

[0027] Among them, E y_pv_tis the total power generated during the life cycle of the distributed tracking photovoltaic array, E pv-ti is the total annual power generation of the distributed tracking photovoltaic array, k is the life of the photovoltaic module; Y i It is the annual attenuation characteristic parameter of photovoltaic modules.

[0028] In one embodiment, step S6 includes obtaining the payback period of the distributed tracking photovoltaic array by calculating formula (6), and the calculation formula (6) is:

[0029]

[0030] Among them, S Ei is the photovoltaic power generation grid-connected subsidy price in the area where the distributed tracking photovoltaic array is located; C yi is the carbon saving in that year; S ci is the carbon trading price of the year; M pv is the initial investment amount of the distributed tracking photovoltaic array; E yi_pv_t For E y_pv_t ; T is the recovery period.

[0031] In one embodiment, the target building information includes the roof type of the building, the configuration of the building, the roof size of the building, or the roof shape of the building.

[0032] In one embodiment, step S1 includes selecting a photovoltaic module of suitable size according to the target building information, obtaining the front and rear spacing of the photovoltaic module by calculating formula (7), and obtaining the design scheme of the distributed tracking photovoltaic array based on the principle of maximum photovoltaic coverage. The calculation formula (7) is:

[0033] D=H*cosγ / tanα (7)

[0034] Where D is the front-to-back distance of the photovoltaic module, H is the height of the photovoltaic module, γ is the solar azimuth angle, and α is the solar altitude angle.

[0035] Therefore, this application improves the calculation results of the total power generation power within the life cycle of the distributed photovoltaic array by obtaining more accurate data on the surface heat transfer coefficient of the photovoltaic modules, thereby achieving the technical effect of evaluating the installation and utilization potential of the distributed tracking photovoltaic array.

[0036] A second aspect of the present application discloses a distributed tracking photovoltaic array installation utilization potential calculation system, including:

[0037] Distributed tracking photovoltaic array heat transfer coefficient calculation module, which is used to simulate and obtain the wind and heat environment data of each photovoltaic module in the distributed tracking photovoltaic array, and obtain the surface heat transfer coefficient of the photovoltaic module;

[0038] A distributed tracking photovoltaic array photovoltaic module power generation calculation module, the distributed tracking photovoltaic array photovoltaic module power generation calculation module is used to obtain the photovoltaic module power generation according to the design and installation plan of the distributed tracking photovoltaic array and the single-day environmental parameters, and in combination with the photovoltaic module surface heat transfer coefficient;

[0039] A distributed tracking photovoltaic array total power generation calculation module is used to obtain the total power generation of the distributed tracking photovoltaic array according to the number of photovoltaic modules;

[0040] A total power generation calculation module within the life cycle of a distributed tracking photovoltaic array, the total power generation calculation module within the life cycle of a distributed tracking photovoltaic array is used to obtain the total power generation within the life cycle of a distributed tracking photovoltaic array according to the life cycle of the photovoltaic components and the annual attenuation characteristic parameters of the photovoltaic components and the total power generation of the distributed tracking photovoltaic array;

[0041] The distributed tracking photovoltaic array payback period calculation module is used to obtain the payback period of the distributed tracking photovoltaic array according to the income from electricity trading and carbon trading.

[0042] Therefore, the system provided in this application can obtain relatively accurate data on the surface heat transfer coefficient of photovoltaic modules by adopting a distributed tracking photovoltaic array installation utilization potential calculation method, thereby improving the calculation results of the total power generation power within the life cycle of the distributed photovoltaic array, thereby achieving the technical effect of evaluating the installation utilization potential of the distributed tracking photovoltaic array. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 It is a flowchart of a method for calculating the installation utilization potential of a distributed tracking photovoltaic array disclosed in the first embodiment of the present application;

[0045] Figure 2 It is a structural diagram of a distributed tracking photovoltaic array installation utilization potential calculation system disclosed in a second embodiment of the present application;

[0046] Reference numerals:

[0047] 1-Distributed tracking photovoltaic array layout design module, 2-Distributed tracking photovoltaic array heat transfer coefficient calculation module, 3-Distributed tracking photovoltaic array photovoltaic component power generation calculation module, 4-Distributed tracking photovoltaic array total power generation calculation module, 5-Distributed tracking photovoltaic array total power generation calculation module within the life cycle, 6-Distributed tracking photovoltaic array recovery cycle calculation module. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0049] In the present invention, the directions or positional relationships indicated by "upper", "lower", "outer", etc. are based on the directions or positional relationships shown in the drawings. These terms are mainly used to better describe the present invention and its embodiments, and are not used to limit the indicated devices, elements or components to have a specific direction, or to be constructed and operated in a specific direction.

[0050] In addition, some of the above terms may be used to express other meanings in addition to indicating orientation or positional relationship. For example, the term "on" may also be used to express a certain dependency or connection relationship in some cases. For those skilled in the art, the specific meanings of these terms in the present invention can be understood according to specific circumstances.

[0051] In addition, the terms "installed", "set", "provided with", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection, or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be an internal connection between two devices, elements, or components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0052] In addition, the terms "first", "second", etc. are mainly used to distinguish different devices, elements or components (the specific types and structures may be the same or different), and are not used to indicate or imply the relative importance and quantity of the indicated devices, elements or components. Unless otherwise specified, "plurality" means two or more.

[0053] Example 1

[0054] The distributed tracking photovoltaic array is composed of a number of photovoltaic modules, each of which includes photovoltaic cells and a glass substrate. The photovoltaic cells are arranged under the glass substrate.

[0055] like Figure 1 As shown, this example provides a method for calculating the installation utilization potential of a distributed tracking photovoltaic array, including:

[0056] S1. Obtain a design plan for a distributed tracking photovoltaic array based on the target building information. The specific design plan for the distributed tracking photovoltaic array is to arrange the photovoltaic modules in several rows and columns on the target building. At the same time, in order to quickly obtain the target building information, a drone can be used to collect the target building information.

[0057] S2, simulate and obtain the wind and heat environment data of each photovoltaic module in the distributed tracking photovoltaic array, and obtain the surface heat transfer coefficient of the photovoltaic module;

[0058] S3, according to the design and installation plan of the distributed tracking photovoltaic array and the single-day environmental parameters, and combined with the surface heat transfer coefficient of the photovoltaic module, the photovoltaic module power generation power is obtained;

[0059] S4. According to the number of photovoltaic modules, the total power generation power of the distributed tracking photovoltaic array is obtained;

[0060] S5. According to the life span of the photovoltaic module and the annual attenuation characteristic parameters of the photovoltaic module, and according to the total power generation power of the distributed tracking photovoltaic array, the total power generation power within the life cycle of the distributed tracking photovoltaic array is obtained;

[0061] S6. Obtain the payback period of the distributed tracking photovoltaic array based on the income from electricity trading and carbon trading, and evaluate the installation and utilization potential of the distributed tracking photovoltaic array based on the payback period of the distributed tracking photovoltaic array.

[0062] The method provided in this embodiment firstly obtains the wind-heat environment data of each photovoltaic module in the distributed tracking photovoltaic array by simulation, and accurately calculates the surface heat transfer coefficient of the photovoltaic module through the accurate wind-heat environment data. Since the surface heat transfer coefficient of the photovoltaic module is the key factor in accurately calculating the power generation of the photovoltaic module, the accurate surface heat transfer coefficient of the photovoltaic module can improve the accuracy of the calculation results of the power generation of the photovoltaic module. Secondly, the power generation of the photovoltaic module is obtained by combining the design and installation plan of the distributed tracking photovoltaic array and the daily environmental parameters with the surface heat transfer coefficient of the photovoltaic module. Since the accuracy of the surface heat transfer coefficient data of the photovoltaic module is relatively high, the accurate power generation data of the photovoltaic module can be obtained through the accurate surface heat transfer coefficient data of the photovoltaic module. Secondly, the total power generation power of the distributed tracking photovoltaic array is obtained through the power generation power of a single photovoltaic module. Since the accuracy of the power generation power data of the photovoltaic module is relatively high, the accurate power generation power data of the distributed tracking photovoltaic array can be obtained through the accurate power generation power data of the photovoltaic module. The total power generation data of the distributed tracking photovoltaic array is obtained by the distributed tracking photovoltaic array according to the total power generation data of the distributed tracking photovoltaic array. Since the total power generation data of the distributed tracking photovoltaic array is highly accurate, the total power generation data of the distributed tracking photovoltaic array can be obtained by the accurate total power generation data of the distributed tracking photovoltaic array. Finally, the recovery period of the distributed tracking photovoltaic array is obtained according to the income from electricity trading and carbon trading, and the installation and utilization potential of the distributed tracking photovoltaic array is evaluated according to the recovery period of the distributed tracking photovoltaic array. Since the total power generation data of the distributed photovoltaic array is highly accurate, the accurate recovery period of the distributed tracking photovoltaic array can be obtained by the accurate total power generation data of the distributed tracking photovoltaic array. Since the installation of the photovoltaic array is basically based on the recovery period to determine whether it has application potential. That is, the recovery period is short and the life is long, there is a long profit space. If the recovery period is long, there is not much installation significance, so accurate recovery period data can provide support for accurate evaluation of installation and utilization potential.

[0063] In order to accurately obtain the surface heat transfer coefficient data of the photovoltaic module, in this example, preferably, the step S2 includes:

[0064] S21. The wind speed test value V of each photovoltaic module surface under different wind speed and wind direction conditions is obtained through the photovoltaic array wind tunnel test platform test. SAmong them, the photovoltaic array wind tunnel test platform is an experimental device used to simulate and study the aerodynamic performance of photovoltaic arrays under wind loads. Through wind tunnel tests, researchers can obtain important data such as wind pressure distribution, structural response, and stability of photovoltaic brackets and arrays at different wind speeds and wind directions. These data are crucial for optimizing the design of photovoltaic arrays, improving their wind resistance, and ensuring long-term stable operation.

[0065] S22. Use fluid mechanics software to establish a photovoltaic array wind environment model and simulate the simulated value V of the wind speed on the surface of each photovoltaic module under different wind speeds and wind directions. m , verify V s With V m When the error between them is less than or equal to 10%, the surface heat transfer coefficient of the photovoltaic module can be obtained through the parameters provided by the photovoltaic array wind environment model; wherein, the fluid mechanics software can be Fluent software, which is an advanced fluid dynamics (CFD) software widely used in the engineering field and developed by ANSYS. It provides a modern user-friendly interface and is known for its advanced physical models, including turbulence models, single-phase flow and multi-phase flow, combustion, battery models, and fluid-solid coupling. Fluent software contains a pressure-based separation solver, a density-based implicit solver, and a density-based explicit solver. Multi-solver technology enables it to simulate a variety of complex flow fields ranging from incompressible to hypersonic. In addition, Fluent also provides efficient HPC scalability, supporting large-scale analysis to be easily solved on multiple processors.

[0066] S23, the surface heat transfer coefficient of the photovoltaic module is obtained by calculation formula (1); the calculation formula (1) is:

[0067] h pv_i =a i +b i v i (1)

[0068] Among them, h pv_i is the heat transfer coefficient of the photovoltaic module surface, a i With b i is the linear equation parameter of the heat transfer coefficient of the photovoltaic module, which can be obtained by simulating the photovoltaic array wind environment model verified in step 22, v i is the wind speed on the surface of the photovoltaic module, which can be obtained by simulating the photovoltaic array wind environment model verified in step 22.

[0069] In this embodiment, the wind speed of each photovoltaic module surface under different wind speeds and different wind directions is first tested by a photovoltaic array wind tunnel test platform to obtain the test value V SThen, the wind environment model of the photovoltaic array is established through fluid mechanics software to simulate the simulated value V of the wind speed on the surface of each photovoltaic module under different wind speeds and wind directions. m , then through V s With V m The error analysis between them is used to judge the accuracy of the model. s With V m When the error between them is less than or equal to 10%, the model is considered to be highly accurate. A highly accurate model is obtained through verification, which provides a basis for accurately obtaining the surface heat transfer coefficient of the photovoltaic module and other data. Finally, the surface heat transfer coefficient of the photovoltaic module is obtained by calculating formula (2). The various parameters in formula (2) are due to a i 、b i 、v i A large number of heat transfer coefficient values ​​are obtained by calculating different working conditions of the distributed tracking photovoltaic array through the verified photovoltaic array wind environment model, and then normalized and fitted into a formula. Therefore, the surface heat transfer coefficient data of the photovoltaic module calculated by calculation formula (2) is relatively accurate.

[0070] In order to accurately obtain the photovoltaic module power generation data, in this embodiment, preferably, step S3 includes obtaining the photovoltaic module power generation data by calculating formulas (2) and (3), and the calculation formulas (2) and (3) are:

[0071]

[0072] E pv_i =ζGτη r (1-B r (T pv_i -T))(3)

[0073] Among them, d pv With d g are the thickness of the photovoltaic cell and the glass substrate respectively; ρ pv and ρ g are the density of photovoltaic cells and glass substrate respectively; C pv With C g are the specific heat capacities of the photovoltaic cell and the glass substrate respectively; T air _i and T pv_i are the air and photovoltaic module temperatures respectively; G is the light intensity; (τα) is the light transmittance of the glass substrate; h pv_i is the surface heat transfer coefficient of the photovoltaic module; E pv_i is the power generated by the photovoltaic module, η r is the photovoltaic efficiency of the photovoltaic module under standard conditions (provided by the equipment manufacturer), B ris the temperature coefficient of the photovoltaic module, generally -0.38-0.44% / ℃; T is the temperature under standard conditions (25℃),

[0074] In this embodiment, the design and installation plan of the photovoltaic array is obtained. After obtaining the design and installation plan of the photovoltaic array, the specific model of the photovoltaic module product can be obtained. Therefore, the following data can be obtained through the inherent product parameters of the photovoltaic module: pv With d g are the thickness of the photovoltaic cell and the glass substrate respectively; ρ pv and ρ g are the density of photovoltaic cells and glass substrate respectively; C pv With C g are the specific heat capacities of the photovoltaic cell and the glass substrate respectively; (τα) is the light transmittance of the glass substrate, and then through the single-day environmental parameters: T air _i Air temperature; T pv_i PV module temperature; G light intensity, and finally the PV module power generation is calculated by formulas (2) and (3). pv_i This is the data of the surface heat transfer coefficient of the photovoltaic module. Since the calculation result of the above data is relatively accurate, the calculation result of the data of the photovoltaic module power generation power can be relatively accurate.

[0075] In order to accurately obtain the total power generation data of the distributed tracking photovoltaic array, in this embodiment, preferably, step S4 includes obtaining the total power generation data of the distributed tracking photovoltaic array by calculating formula (4), and the calculation formula (4) is:

[0076]

[0077] Among them, E pv_t is the total power generation of the distributed tracking photovoltaic array, E pv_i is the power generated by the photovoltaic modules, and n is the number of photovoltaic modules.

[0078] The total power generation of the distributed tracking photovoltaic array in the calculation formula (4) provided in this embodiment is obtained by adding the power generation of each photovoltaic module. Because each photovoltaic module is located in a different wind and heat environment and the power generation at the same time is also different, the total power generation of the distributed tracking photovoltaic array can be accurately calculated by accurately calculating the power generation of each photovoltaic module.

[0079] In order to accurately obtain the total power generation of the distributed tracking photovoltaic array during its life cycle, in this example, preferably, step S5 includes obtaining the total power generation of the distributed tracking photovoltaic array during its life cycle by calculating formula (5), and the calculation formula (5) is:

[0080]

[0081] Among them, E y_pv_t is the total power generated during the life cycle of the distributed tracking photovoltaic array, E pv-ti is the total annual power generation of the distributed tracking photovoltaic array (i.e., the total power generation of the distributed tracking photovoltaic array E pv_t multiplied by 365 days), k is the life of the photovoltaic module; Y i It is the annual attenuation characteristic parameter of photovoltaic modules.

[0082] In order to accurately obtain the payback period of the distributed tracking photovoltaic array, in this embodiment, preferably, step S6 includes obtaining the payback period of the distributed tracking photovoltaic array by calculating formula (6), and the calculation formula (6) is:

[0083]

[0084] Among them, S Ei is the photovoltaic power generation grid-connected subsidy price in the area where the distributed tracking photovoltaic array is located; C yi is the carbon saving in that year; S ci is the carbon trading price of the year; M pv is the initial investment amount of the distributed tracking photovoltaic array; E yi_pv_t That is E y_pv_t ; T is the recovery period.

[0085] In order to enable the selected target building information to provide a basis for the design of a distributed tracking photovoltaic array, in this embodiment, preferably, the target building information includes the roof type of the building, the configuration of the building, the roof size of the building or the roof shape of the building.

[0086] In this example, the condition of the target building is the cornerstone of the installation of the distributed tracking photovoltaic array. For example, the roof type and configuration of the building are the prerequisites for evaluating whether the distributed tracking photovoltaic array can be installed on the roof of the building. Secondly, the roof size and roof shape of the building can provide a basis for how to design the distributed tracking photovoltaic array. Therefore, in order to realize the installation of the distributed tracking photovoltaic array, it is necessary to select the target building information as the target building information including the roof type of the building, the configuration of the building, the roof size of the building or the roof shape of the building.

[0087] In order to implement the design of a distributed tracking photovoltaic array according to the target building information, in this example, preferably, step S1 includes selecting a photovoltaic module of a suitable size according to the target building information, obtaining the front and rear spacing of the photovoltaic module by calculating formula (7), and obtaining the design scheme of the distributed tracking photovoltaic array based on the principle of maximum photovoltaic coverage. The calculation formula (7) is:

[0088] D=H*cosγ / tanα (7)

[0089] Where D is the front-to-back distance of the photovoltaic module, H is the height of the photovoltaic module, γ is the solar azimuth angle, and α is the solar altitude angle.

[0090] In this example, firstly, the target building is evaluated for the conditions for installing a tracking photovoltaic array by the roof type and the building configuration. For example, if the roof type of the building is a sloped roof, the roof of the building does not have the conditions for installing a distributed tracking photovoltaic array. If the building configuration is an old building, the roof of the building does not have the conditions for installing a distributed tracking photovoltaic array due to the limited load-bearing capacity of the old building and the installation risks. Secondly, the appropriate size of photovoltaic modules is selected by the roof size and the roof shape of the building, that is, the length, width and width of the photovoltaic modules. Based on the height of the photovoltaic modules, that is, the height of the photovoltaic modules perpendicular to the horizontal plane, and the latitude information, γ is the solar azimuth, which indicates the angle between the sun's rays and the south direction. α is the solar altitude angle, which indicates the height of the sun above the horizon. Then, the spacing between each row of photovoltaic modules is calculated by formula (7). Then, considering the roof size and the roof shape of the building, the distributed tracking photovoltaic array is designed according to the principle of maximum photovoltaic coverage, that is, several rows of photovoltaic modules are arranged on the roof of the building.

[0091] Specifically, the maximum photovoltaic coverage principle mainly refers to the area of ​​photovoltaic power generation systems installed on the roofs of newly built public buildings and factory buildings should reach a certain proportion, usually set at 50% or even higher. The purpose of this principle is to promote the use of renewable energy, reduce dependence on fossil energy, thereby reducing carbon emissions and achieving green and low-carbon development goals.

[0092] Example 2

[0093] like Figure 2 As shown, a distributed tracking photovoltaic array installation utilization potential calculation system is used to implement the distributed tracking photovoltaic array installation utilization potential calculation method described in Example 1, and the system includes

[0094] Distributed tracking photovoltaic array arrangement design module 1, the distributed tracking photovoltaic array arrangement design module 1 is used to obtain a design scheme of the distributed tracking photovoltaic array according to the target building information;

[0095] Distributed tracking photovoltaic array heat transfer coefficient calculation module 2, distributed tracking photovoltaic array heat transfer coefficient calculation module 2 is used to simulate and obtain the wind and heat environment data of each photovoltaic module in the distributed tracking photovoltaic array, and obtain the surface heat transfer coefficient of the photovoltaic module;

[0096] The distributed tracking photovoltaic array photovoltaic module power generation calculation module 3 is used to obtain the photovoltaic module power generation according to the design and installation plan of the distributed tracking photovoltaic array and the single-day environmental parameters, and in combination with the photovoltaic module surface heat transfer coefficient;

[0097] The distributed tracking photovoltaic array total power generation calculation module 4 is used to obtain the total power generation of the distributed tracking photovoltaic array according to the number of photovoltaic modules;

[0098] The total power generation calculation module 5 within the life cycle of the distributed tracking photovoltaic array is used to calculate the total power generation within the life cycle of the distributed tracking photovoltaic array according to the life cycle of the photovoltaic module and the annual attenuation characteristic parameters of the photovoltaic module and the total power generation of the distributed tracking photovoltaic array.

[0099] The distributed tracking photovoltaic array payback period calculation module 6 is used to obtain the payback period of the distributed tracking photovoltaic array according to the electricity trading and carbon trading income.

[0100] The system provided in this embodiment firstly obtains the wind-heat environment data of each photovoltaic module in the distributed tracking photovoltaic array by simulating the distributed tracking photovoltaic array heat transfer coefficient calculation module 2, and accurately calculates the surface heat transfer coefficient of the photovoltaic module through the accurate wind-heat environment data. Since the surface heat transfer coefficient of the photovoltaic module is the key factor in accurately calculating the power generation of the photovoltaic module, the accurate surface heat transfer coefficient of the photovoltaic module can improve the accuracy of the calculation result of the power generation of the photovoltaic module. Secondly, the photovoltaic module power generation calculation module 3 of the distributed tracking photovoltaic array obtains the power generation of the photovoltaic module according to the design and installation plan of the distributed tracking photovoltaic array and the single-day environmental parameters, and combines the surface heat transfer coefficient of the photovoltaic module. Since the accuracy of the surface heat transfer coefficient data of the photovoltaic module is relatively high, the accurate power generation data of the photovoltaic module can be obtained through the accurate surface heat transfer coefficient data of the photovoltaic module. Secondly, the distributed tracking photovoltaic array total power generation calculation module 4 obtains the total power generation power of the distributed tracking photovoltaic array through the power generation power of a single photovoltaic module. Since the accuracy of the power generation power data of the photovoltaic module is relatively high, the power generation power data of the photovoltaic module can be obtained through the accurate In order to obtain accurate total power generation data of distributed tracking photovoltaic arrays, secondly, the total power generation calculation module 5 of the distributed tracking photovoltaic array life cycle obtains the total power generation data of the distributed photovoltaic array life cycle according to the total power generation data of the distributed tracking photovoltaic array through the life cycle of the photovoltaic module and the annual attenuation characteristic parameters of the photovoltaic module. Since the total power generation data of the distributed tracking photovoltaic array is highly accurate, accurate total power generation data of the distributed photovoltaic array life cycle can be obtained through accurate total power generation data of the distributed tracking photovoltaic array. Finally, the distributed tracking photovoltaic array recovery cycle calculation module 6 obtains the recovery cycle of the distributed tracking photovoltaic array according to the income from electricity trading and carbon trading, and evaluates the installation and utilization potential of the distributed tracking photovoltaic array according to the recovery cycle of the distributed tracking photovoltaic array. Since the total power generation data of the distributed photovoltaic array life cycle is highly accurate, accurate recovery cycle of the distributed tracking photovoltaic array can be obtained through accurate total power generation data of the distributed photovoltaic array life cycle. Since the installation of the photovoltaic array is basically determined based on the recovery cycle to determine whether it has application potential, that is, the recovery cycle is short and the life cycle is long, there is a long profit space. If the recovery cycle is long, there is not much installation significance, so accurate recovery cycle data can provide support for accurate evaluation of installation and utilization potential.

[0101] Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the rights of the present application.

Claims

1. A method for calculating the installation utilization potential of a distributed tracking photovoltaic array, characterized in that: include: S1. Obtain the design scheme of the distributed tracking photovoltaic array according to the target building information; S2, simulate and obtain the wind and heat environment data of each photovoltaic module in the distributed tracking photovoltaic array, and obtain the surface heat transfer coefficient of the photovoltaic module; S3, obtaining the photovoltaic module power generation power according to the design and installation plan of the distributed tracking photovoltaic array and the single-day environmental parameters, and in combination with the surface heat transfer coefficient of the photovoltaic module; S4. According to the number of photovoltaic modules, the total power generation power of the distributed tracking photovoltaic array is obtained; S5. Obtaining the total power generation power of the distributed tracking photovoltaic array within its life cycle according to the photovoltaic module life cycle and the photovoltaic module annual attenuation characteristic parameters and the total power generation power of the distributed tracking photovoltaic array; S6. Obtain the payback period of the distributed tracking photovoltaic array based on the income from electricity trading and carbon trading, and evaluate the installation and utilization potential of the distributed tracking photovoltaic array based on the payback period of the distributed tracking photovoltaic array.

2. The method for calculating the installation utilization potential of a distributed tracking photovoltaic array according to claim 1, characterized in that: The step S2 comprises: S21. The wind speed test value V of each photovoltaic module surface under different wind speed and wind direction conditions is obtained through the photovoltaic array wind tunnel test platform test. S ; S22. Use fluid mechanics software to establish a photovoltaic array wind environment model and simulate the simulated value V of the wind speed on the surface of each photovoltaic module under different wind speeds and wind directions. m , verify V s With V m When the error between them is less than or equal to 10%, the surface heat transfer coefficient of the photovoltaic module can be obtained through the parameters provided by the photovoltaic array wind environment model; S23, the surface heat transfer coefficient of the photovoltaic module is obtained by calculation formula (1); the calculation formula (1) is: h pv_i =a i +b i v i (1) Among them, h pv_i is the heat transfer coefficient of the photovoltaic module surface, a i With b i is the linear equation parameter of the heat transfer coefficient of the photovoltaic module, which can be obtained by simulating the photovoltaic array wind environment model verified in step 22, v i is the wind speed on the surface of the photovoltaic module, which can be obtained by simulating the photovoltaic array wind environment model verified in step 22.

3. The method for calculating the installation utilization potential of a distributed tracking photovoltaic array according to claim 1, characterized in that: The step S3 includes obtaining the power generated by the photovoltaic module by using calculation formulas (2) and (3), wherein the calculation formulas (2) and (3) are: E pv_i =ζGτη r (1-B r (T pv_i -T))(3) Among them, d pv With d g are the thickness of the photovoltaic cell and the glass substrate respectively; ρ pv and ρ g are the density of photovoltaic cells and glass substrate respectively; C pv With C g are the specific heat capacities of the photovoltaic cell and the glass substrate respectively; T air _i and T pv_i are the air and photovoltaic module temperatures respectively; G is the light intensity; (τα) is the light transmittance of the glass substrate; h pv_i is the heat transfer coefficient of the photovoltaic module surface; E pv_i is the power generated by the photovoltaic module, η r is the photovoltaic efficiency of the photovoltaic module under standard conditions, B r is the temperature coefficient of the photovoltaic module, and T is the temperature under standard conditions.

4. The method for calculating the installation utilization potential of a distributed tracking photovoltaic array according to claim 1, characterized in that: The step S4 includes obtaining the total power generation power of the distributed tracking photovoltaic array by using the calculation formula (4), and the calculation formula (4) is: Among them, E pv_t is the total power generation of the distributed tracking photovoltaic array, E pv_i is the power generated by the photovoltaic modules, and n is the number of photovoltaic modules.

5. The method for calculating the installation utilization potential of a distributed tracking photovoltaic array according to claim 1, characterized in that: The step S5 includes obtaining the total power generation of the distributed tracking photovoltaic array during its life cycle by using the calculation formula (5), wherein the calculation formula (5) is: Among them, E y_pv_t is the total power generated during the life cycle of the distributed tracking photovoltaic array, E pv-ti is the total annual power generation of the distributed tracking photovoltaic array, k is the life of the photovoltaic module; Y i It is the annual attenuation characteristic parameter of photovoltaic modules.

6. The method for calculating the installation utilization potential of a distributed tracking photovoltaic array according to claim 1, characterized in that: The step S6 includes obtaining the payback period of the distributed tracking photovoltaic array by using the calculation formula (6), and the calculation formula (6) is: Among them, S Ei is the photovoltaic power generation grid-connected subsidy price in the area where the distributed tracking photovoltaic array is located; C yi is the carbon saving in that year; S ci is the carbon trading price of the year; M pv is the initial investment amount of the distributed tracking photovoltaic array; E yi_pv_t For E y_pv_t ; T is the recovery period.

7. The method for calculating the installation utilization potential of a distributed tracking photovoltaic array according to claim 1, characterized in that: The target building information includes the roof type of the building, the configuration of the building, the roof size of the building or the roof shape of the building.

8. The method for calculating the installation utilization potential of a distributed tracking photovoltaic array according to claim 7, characterized in that: The step S1 includes selecting a photovoltaic module of suitable size according to the target building information, obtaining the front and rear spacing of the photovoltaic module by calculating formula (7), and obtaining the design scheme of the distributed tracking photovoltaic array based on the principle of maximum photovoltaic coverage. The calculation formula (7) is: D=H*cosγ / tanα (7) Where D is the front-to-back distance of the photovoltaic module, H is the height of the photovoltaic module, γ is the solar azimuth angle, and α is the solar altitude angle.

9. A distributed tracking photovoltaic array installation utilization potential calculation system, used to implement the distributed tracking photovoltaic array installation utilization potential calculation method according to any one of claims 1 to 8, characterized in that: The system comprises: A distributed tracking photovoltaic array arrangement design module (1), wherein the distributed tracking photovoltaic array arrangement design module (1) is used to obtain a design scheme of a distributed tracking photovoltaic array according to target building information; A distributed tracking photovoltaic array heat transfer coefficient calculation module (2), wherein the distributed tracking photovoltaic array heat transfer coefficient calculation module (2) is used to simulate and obtain the wind heat environment data of each photovoltaic module in the distributed tracking photovoltaic array, and obtain the surface heat transfer coefficient of the photovoltaic module; A distributed tracking photovoltaic array photovoltaic module power generation calculation module (3), the distributed tracking photovoltaic array photovoltaic module power generation calculation module (3) is used to obtain the photovoltaic module power generation according to the design and installation plan of the distributed tracking photovoltaic array and the single-day environmental parameters, and in combination with the photovoltaic module surface heat transfer coefficient; A distributed tracking photovoltaic array total power generation calculation module (4), wherein the distributed tracking photovoltaic array total power generation calculation module (4) is used to obtain the total power generation of the distributed tracking photovoltaic array according to the number of photovoltaic modules; A distributed tracking photovoltaic array total power generation calculation module (5) within the life cycle, the distributed tracking photovoltaic array total power generation calculation module (5) within the life cycle is used to obtain the total power generation within the life cycle of the distributed tracking photovoltaic array according to the photovoltaic component life cycle and the photovoltaic component annual attenuation characteristic parameters and the total power generation of the distributed tracking photovoltaic array; A distributed tracking photovoltaic array payback period calculation module (6) is used to obtain the payback period of the distributed tracking photovoltaic array according to the income from electricity trading and carbon trading.

Images