A photovoltaic module temperature processing method, device and storage medium
By importing solar position data, photovoltaic array geometry, and meteorological observation data, and combining a novel radiative transfer parameterization scheme and the Stefan-Boltzmann law, the error problem of existing photovoltaic module temperature models in bifacial modules and array scenarios has been solved, significantly improving simulation accuracy and applicability, and supporting photovoltaic power assessment and refined modeling of new energy systems.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA RESOURCES POWER TECH RES INST CO LTD
- Filing Date
- 2026-03-16
- Publication Date
- 2026-07-14
AI Technical Summary
Existing photovoltaic module temperature models suffer from problems such as radiation calculation errors, thermal balance simplification, and improper wind speed handling in bifacial modules or array scenarios, resulting in insufficient generalization ability across regions and climates.
By importing solar position data, photovoltaic array geometry data, and meteorological observation data, we analyze radiation absorption, long-wave radiation emission, and sensible heat flux. Combined with a novel radiation transfer parameterization scheme and Stefan-Boltzmann law, we accurately calculate the temperature of the photovoltaic module.
It improves the accuracy of photovoltaic module temperature simulation, reduces reliance on experience, enhances applicability, significantly improves the model's generalization ability, and significantly improves simulation accuracy and applicability, providing reliable technical support for photovoltaic power assessment and new energy systems.
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Figure CN122389285A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of photovoltaic temperature treatment technology, specifically to a method, apparatus, and storage medium for treating the temperature of photovoltaic modules. Background Technology
[0002] The power generation efficiency and lifespan of photovoltaic modules are highly sensitive to operating temperature. It is generally believed that the efficiency of photovoltaic modules decreases linearly with increasing temperature. Therefore, accurately obtaining the operating temperature of the modules is an important foundation for photovoltaic power simulation, performance evaluation and operation optimization.
[0003] The existing technology has the following drawbacks: 1) The radiation input of existing temperature models is mostly based on the assumption of single-row, single-sided modules. The irradiance on the back of double-sided modules is not reflected, and factors such as inter-row shading between modules and array height are not adequately considered. Especially in the case of double-sided modules or arrays, the input radiation deviation directly leads to temperature calculation error. 2) The heat balance equation is oversimplified. Most models ignore or weaken the following key physical processes: long-wave radiation exchange (radiative energy exchange between photovoltaic modules and the sky and the ground), and thermal feedback of photovoltaic cell conversion efficiency (efficiency decline will change the heat absorption). 3) The influence of wind speed is usually based on empirical methods, and theoretically the wind speed at the height of the component should be used. However, this data is difficult to obtain, and using 10m wind speed for conversion will introduce systematic bias. 4) The model parameters are highly dependent on site calibration and lack generalization ability across regions and climate conditions. Summary of the Invention
[0004] The technical problem to be solved by the present invention is to provide a method, apparatus and storage medium for temperature treatment of photovoltaic modules, which addresses the shortcomings of the prior art.
[0005] The technical solution of the present invention to solve the above-mentioned technical problems is as follows: A method for temperature treatment of photovoltaic modules, comprising the following steps: Import solar position data, photovoltaic array geometry data, meteorological observation data, and photovoltaic module data; The radiation absorption data is obtained by analyzing the meteorological observation data, the geometric parameters of the photovoltaic array, the photovoltaic module data, and the solar position parameters. The long-wave radiation emission is obtained by analyzing the photovoltaic module data and the meteorological observation data. The sensible heat flux is obtained by analyzing the meteorological observation data and the geometric structure data of the photovoltaic array. Temperature analysis is performed on the radiation absorption data, the long-wave radiation emission, and the sensible heat flux, and the analysis results are used as the temperature processing results of the photovoltaic module.
[0006] Another technical solution of the present invention to solve the above-mentioned technical problems is as follows: A photovoltaic module temperature treatment device, comprising: The import module is used to import solar position data, photovoltaic array geometry data, meteorological observation data, and photovoltaic module data. The radiation absorption data analysis module is used to analyze the radiation absorption data of the meteorological observation data, the geometric parameters of the photovoltaic array, the photovoltaic module data, and the solar position parameters to obtain radiation absorption data. The long-wave radiation emission analysis module is used to analyze the long-wave radiation emission of the photovoltaic module data and the meteorological observation data to obtain the long-wave radiation emission. The sensible heat flux analysis module is used to analyze the sensible heat flux of the meteorological observation data and the geometric structure data of the photovoltaic array to obtain the sensible heat flux. The processing result acquisition module is used to perform temperature analysis on the radiation absorption data, the long-wave radiation emission, and the sensible heat flux, and use the analysis results as the temperature processing result of the photovoltaic module.
[0007] Based on the above-mentioned photovoltaic module temperature treatment method, the present invention also provides a photovoltaic module temperature treatment system.
[0008] Another technical solution of the present invention to solve the above-mentioned technical problems is as follows: a photovoltaic module temperature treatment system, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the photovoltaic module temperature treatment method described above is implemented.
[0009] Based on the above-mentioned photovoltaic module temperature treatment method, the present invention also provides a computer-readable storage medium.
[0010] Another technical solution of the present invention to solve the above-mentioned technical problems is as follows: a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the photovoltaic module temperature treatment method as described above.
[0011] The beneficial effects of this invention are as follows: By analyzing the radiation absorption data from meteorological observation data, photovoltaic array geometric parameters, photovoltaic module data, and solar position parameters, radiation absorption data is obtained; long-wave radiation emission is obtained from the analysis of photovoltaic module data and meteorological observation data; sensible heat flux is obtained from the analysis of meteorological observation data and photovoltaic array geometric data; and temperature analysis is performed on the radiation absorption data, long-wave radiation emission, and sensible heat flux. The analysis results are then used as the photovoltaic module temperature processing results. This approach reduces reliance on experience while improving model accuracy and applicability. It effectively overcomes the error problems caused by radiation simplification and improper wind speed handling in existing empirical models, significantly improving the simulation accuracy of photovoltaic module temperature. This provides reliable technical support for photovoltaic power assessment, module thermal safety analysis, and refined modeling of new energy systems. Attached Figure Description
[0012] Figure 1 This is a schematic flowchart of the photovoltaic module temperature treatment method provided in an embodiment of the present invention; Figure 2 A schematic diagram of the shortwave radiation absorption parameter analysis process for the photovoltaic module temperature treatment method provided in this embodiment of the invention; Figure 3 A schematic diagram of the long-wave radiation absorption parameter analysis process for the photovoltaic module temperature treatment method provided in this embodiment of the invention; Figure 4 This is a block diagram of a photovoltaic module temperature treatment device provided in an embodiment of the present invention. Detailed Implementation
[0013] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.
[0014] Figure 1 This is a schematic flowchart of a photovoltaic module temperature treatment method provided in an embodiment of the present invention.
[0015] like Figure 1 As shown, a method for temperature treatment of photovoltaic modules includes the following steps: S1: Import solar position data, photovoltaic array geometry data, meteorological observation data, and photovoltaic module data; S2: Analyze the radiation absorption data of the meteorological observation data, the geometric parameters of the photovoltaic array, the photovoltaic module data, and the solar position parameters to obtain radiation absorption data; S3: Analyze the long-wave radiation emission of the photovoltaic module data and the meteorological observation data to obtain the long-wave radiation emission; S4: Analyze the sensible heat flux of the meteorological observation data and the geometric structure data of the photovoltaic array to obtain the sensible heat flux; S5: Perform temperature analysis on the radiation absorption data, the long-wave radiation emission, and the sensible heat flux, and use the analysis results as the temperature processing results of the photovoltaic module.
[0016] In the above embodiments, radiation absorption data is obtained by analyzing the radiation absorption data of meteorological observation data, photovoltaic array geometric parameters, photovoltaic module data, and solar position parameters. Long-wave radiation emission is obtained by analyzing the long-wave radiation emission of photovoltaic module data and meteorological observation data. Sensitive heat flux is obtained by analyzing the sensible heat flux of meteorological observation data and photovoltaic array geometric data. Temperature analysis is performed on the radiation absorption data, long-wave radiation emission, and sensible heat flux, and the analysis results are used as the photovoltaic module temperature processing results. This approach can improve the model accuracy and applicability while reducing reliance on experience. It effectively overcomes the error problems caused by radiation simplification and improper wind speed handling in existing empirical models, significantly improves the simulation accuracy of photovoltaic module temperature, and provides reliable technical support for photovoltaic power assessment, module thermal safety analysis, and refined modeling of new energy systems.
[0017] Optionally, as an embodiment of the present invention, the process of analyzing the radiation absorption data of the meteorological observation data, the geometric parameters of the photovoltaic array, the photovoltaic module data, and the solar position parameters to obtain radiation absorption data includes: The shortwave radiation absorption parameters are obtained by analyzing the meteorological observation data, the geometric parameters of the photovoltaic array, the photovoltaic module data, and the solar position parameters. The meteorological observation data, the geometric parameters of the photovoltaic array, and the photovoltaic module data are analyzed to obtain long-wave radiation absorption parameters. The radiation absorption data includes the short-wave radiation absorption parameters and the long-wave radiation absorption parameters.
[0018] In the above embodiments, radiation absorption data is obtained by analyzing meteorological observation data, photovoltaic array geometric parameters, photovoltaic module data, and solar position parameters. This reduces reliance on experience while improving model accuracy and applicability, effectively overcoming the error problems caused by radiation simplification and improper wind speed handling in existing empirical models, and significantly improving the simulation accuracy of photovoltaic module temperature.
[0019] Optionally, as an embodiment of the present invention, such as Figure 2As shown, the meteorological observation data includes horizontal direct solar irradiance, horizontal solar diffuse irradiance, and surface reflectivity; the photovoltaic array geometric parameters include photovoltaic module characteristic dimensions, photovoltaic array row spacing, module tilt angle, array height, and row spacing; the photovoltaic module data includes the front reflectivity of the photovoltaic module; and the solar position parameters include the solar altitude angle and the solar azimuth angle. The process of analyzing the meteorological observation data, the geometric parameters of the photovoltaic array, the photovoltaic module data, and the solar position parameters to obtain the shortwave radiation absorption parameters includes: The solar elevation angle, solar azimuth angle, component tilt angle, array height, and row spacing are solved by a pre-constructed radiative transfer geometric model to obtain the shortwave direct radiation viewing angle factor on the front of the component, the shortwave direct radiation viewing angle factor on the back of the component, the shortwave scattered radiation viewing angle factor on the front of the component, and the shortwave scattered radiation viewing angle factor on the back of the component. The shortwave direct radiation distribution coefficient on the front of the module is obtained by calculating the viewing angle factor and the reflectivity of the front of the photovoltaic module using the first formula. The first formula is: , in, The distribution coefficient of shortwave direct radiation on the front of the component. The viewing angle factor for the shortwave direct radiation from the front of the component. The reflectivity of the front side of the photovoltaic module; The shortwave scattered radiation distribution coefficient of the front side of the component is obtained by calculating the viewing angle factor of the shortwave scattered radiation on the front side of the component and the surface reflectivity using the second equation. The second equation is: , in, Assignment coefficient for shortwave scattered radiation from the front of the component. The viewing angle factor for the shortwave scattering radiation from the front of the component. Surface reflectance; The shortwave direct radiation distribution coefficient on the back of the component is obtained by calculating the shortwave direct radiation viewing angle factor on the back of the component and the surface reflectivity using the third equation. The third equation is: , in, The distribution coefficient of shortwave direct radiation on the back of the module. The viewing angle factor for shortwave direct radiation from the back of the module. Surface reflectance; The shortwave scattering radiation distribution coefficient on the back of the module is obtained by calculating the viewing angle factor of the shortwave scattering radiation on the back of the module and the reflectivity of the front of the photovoltaic module using the fourth equation. The fourth equation is: , in, The shortwave scattering radiation distribution coefficient on the back of the module. The viewing angle factor for shortwave scattered radiation from the back of the module. The reflectivity of the front side of the photovoltaic module; The shortwave radiation absorption on the front of the photovoltaic module is calculated using the fifth equation, which considers the characteristic dimensions of the photovoltaic module, the row spacing of the photovoltaic array, the direct solar irradiance on the horizontal plane, the diffuse solar irradiance on the horizontal plane, the shortwave direct radiation distribution coefficient on the front of the module, and the shortwave diffuse radiation distribution coefficient on the front of the module. The fifth equation is as follows: , in, This refers to the absorption of shortwave radiation on the front side of the component. For photovoltaic module feature dimensions, The spacing between rows of the photovoltaic array. The solar direct irradiance on a horizontal surface. This refers to the solar diffuse irradiance on a horizontal surface. The distribution coefficient of shortwave direct radiation on the front of the component. Assignment coefficient for shortwave scattered radiation from the front of the component; The sixth equation is used to calculate the shortwave radiation absorption on the back of the photovoltaic module by considering the characteristic dimensions of the photovoltaic module, the row spacing of the photovoltaic array, the direct solar irradiance on the horizontal plane, the diffuse solar irradiance on the horizontal plane, the shortwave direct radiation distribution coefficient on the back of the module, and the diffuse shortwave radiation distribution coefficient on the back of the module. The shortwave radiation absorption parameters include the shortwave radiation absorption on the front of the module and the shortwave radiation absorption on the back of the module. The sixth equation is: , in, This refers to the absorption of shortwave radiation on the back of the module. For photovoltaic module feature dimensions, The spacing between rows of the photovoltaic array. The direct solar irradiance on a horizontal surface. This refers to the solar diffuse irradiance on a horizontal surface. The distribution coefficient of shortwave direct radiation on the back of the module. The assignment coefficient for shortwave scattering radiation on the back of the component.
[0020] It should be understood that shortwave radiation (S) refers to solar radiation with a main wavelength in the range of 0.3 μm to 3 μm, including direct radiation and diffuse radiation; the viewing angle factor is a geometric parameter used to describe the proportion of radiative energy exchange between two surfaces during radiative heat transfer; the radiation distribution coefficient (f) refers to the proportion of radiative energy absorbed by a specific surface to the corresponding total incident radiative energy, used to characterize the distribution relationship of radiation between different surfaces, and is jointly determined by the viewing angle factor and components, surface reflectivity or emissivity.
[0021] Specifically, such as Figure 2 As shown, a novel radiative transfer parameterization scheme (PVRT) is adopted, considering the sun's position, array geometry, module tilt angle, inter-row shading, and surface reflectivity. It calculates the shortwave radiation absorbed by the front and back of the photovoltaic modules separately, improving the accuracy of shortwave radiation calculation. This scheme is applicable to bifacial modules and incorporates power generation efficiency into the calculation, better reflecting the actual energy balance. The calculation formula is: , , in This refers to the absorption of shortwave radiation on the front side of the component. This refers to the absorption of shortwave radiation on the back of the module. The values represent the direct and diffuse solar irradiance on a horizontal surface. Characterizing the ratio of absorbed radiation to total incident radiation at a specific surface, the subscript uses a two-layer labeling system: the first layer... and The direct and diffuse radiation transmission processes are identified separately, in the second layer. , These correspond to the front and back of the component, respectively. For example, This represents the proportion of radiation absorbed by the front of the module in direct radiation transmission to the total incident direct radiation (i.e., the shortwave direct radiation distribution coefficient of the module front). Ratio It is calculated from the perspective factor and components in direct and scattered transmission and the surface reflectivity.
[0022] It should be understood that the novel radiative transfer parameterization scheme (PVRT) refers to a shortwave radiation calculation method based on radiative transfer theory, which comprehensively considers the sun's position, array geometry, module tilt angle, inter-row shading, and surface reflectivity to accurately calculate the shortwave radiation energy absorbed by the front and back of the photovoltaic module.
[0023] It should be understood that the absorbed shortwave radiation needs to be subtracted from the power generation in the final calculation, i.e., multiplied by a coefficient of (1 - power generation efficiency).
[0024] In the above embodiments, shortwave radiation absorption parameters are obtained by analyzing meteorological observation data, photovoltaic array geometric parameters, photovoltaic module data, and solar position parameters. This improves the accuracy of shortwave radiation calculation, effectively overcomes the error problems caused by radiation simplification and improper wind speed handling in existing empirical models, and significantly improves the simulation accuracy of photovoltaic module temperature.
[0025] Optionally, as an embodiment of the present invention, such as Figure 3 As shown, the meteorological observation data includes ambient air temperature, surface temperature, surface emissivity, and sky emissivity; the photovoltaic array geometric parameters include photovoltaic module characteristic dimensions, photovoltaic array row spacing, module tilt angle, array height, relative spatial position of the front of the module, relative spatial position of the back of the module, and emissivity of the front of the module; and the photovoltaic module data includes photovoltaic module emissivity. The process of analyzing the meteorological observation data, the geometric parameters of the photovoltaic array, and the photovoltaic module data to obtain the long-wave radiation absorption parameters includes: The tilt angle of the component, the height of the array, the spatial relative position of the front of the component, and the spatial relative position of the back of the component are solved by a pre-constructed geometric model of the view factor, to obtain the long-wave sky view factor of the front of the component, the long-wave sky view factor of the back of the component, the long-wave ground view factor of the front of the component, the long-wave ground view factor of the back of the component, the long-wave self-view factor of the front of the component, the long-wave view factor of the front and back of the first component, the long-wave view factor of the front and back of the second component, and the long-wave self-view factor of the back of the component. Based on the emissivity of the front of the component, the long-wave sky view factor of the front of the component, the long-wave sky view factor of the back of the component, the long-wave surface view factor of the front of the component, the long-wave surface view factor of the back of the component, the long-wave self-view factor of the front of the component, the long-wave view factors of the front and back of the first component, the long-wave view factors of the front and back of the second component, and the long-wave self-view factor of the back of the component are multiplied to obtain the long-wave sky radiation distribution coefficient of the front of the component, the long-wave sky radiation distribution coefficient of the back of the component, the long-wave surface radiation distribution coefficient of the front of the component, the long-wave surface radiation distribution coefficient of the back of the component, the long-wave self-radiation distribution coefficient of the front of the component, the long-wave radiation distribution coefficient of the front of the first component, the long-wave radiation distribution coefficient of the front and back of the second component, and the long-wave self-radiation distribution coefficient of the back of the component. Using the ambient air temperature as the photovoltaic module temperature, the characteristic dimensions of the photovoltaic module, the row spacing of the photovoltaic array, the ambient air temperature, the ground surface temperature, the photovoltaic module temperature, the ground surface emissivity, the sky emissivity, the photovoltaic module emissivity, the long-wave sky radiation distribution coefficient of the front side of the module, the long-wave ground surface radiation distribution coefficient of the front side of the module, the long-wave self-radiation distribution coefficient of the front side of the module, and the long-wave radiation distribution coefficients of the front and back sides of the first module are calculated using the seventh equation to obtain the long-wave radiation absorption of the front side of the module. The seventh equation is: , in, , , , in, This refers to the absorption of long-wave radiation on the front side of the component. For photovoltaic module feature dimensions, The spacing between rows of the photovoltaic array. This refers to the amount of long-wave radiation from the sky. The long-wave sky radiation distribution coefficient on the front of the component. This refers to the amount of longwave radiation on the ground. The distribution coefficient of long-wave surface radiation on the front side of the component. For the frontal emission of the component, The long-wavelength self-radiation distribution coefficient on the front side of the component. Launched from the back of the component. The longwave radiation distribution coefficients for the front and back sides of the first component. For sky emission rate, The Stefan Boltzmann constant is given. For ambient temperature, For surface emissivity, For surface temperature, For the emissivity of photovoltaic modules, Temperature of the photovoltaic module; The eighth equation is used to calculate the long-wave radiation absorption on the back of the photovoltaic module by considering the characteristic dimensions of the photovoltaic module, the row spacing of the photovoltaic array, the ambient air temperature, the surface temperature, the temperature of the photovoltaic module, the surface emissivity, the sky emissivity, the emissivity of the photovoltaic module, the long-wave sky radiation distribution coefficient on the back of the module, the long-wave surface radiation distribution coefficient on the back of the module, the long-wave radiation distribution coefficients on the front and back of the second module, and the long-wave self-radiation distribution coefficient on the back of the module. The long-wave radiation absorption parameters include the long-wave radiation absorption on the front of the module and the long-wave radiation absorption on the back of the module. The eighth equation is: , in, , , , in, This refers to the absorption of long-wave radiation on the back of the module. For photovoltaic module feature dimensions, The spacing between rows of the photovoltaic array. This refers to the amount of long-wave radiation from the sky. The long-wave sky radiation distribution coefficient on the back of the module. This refers to the amount of longwave radiation on the ground. The distribution coefficient of long-wave surface radiation on the back of the component. For the frontal emission of the component, The longwave radiation distribution coefficients for the front and back sides of the second component. Launched from the back of the component. The long-wavelength self-radiation distribution coefficient on the back of the module. For sky emission rate, The Stefan Boltzmann constant is given. For ambient temperature, For surface emissivity, For surface temperature, For the emissivity of photovoltaic modules, This refers to the temperature of the photovoltaic module.
[0026] It should be understood that longwave radiation (L) refers to thermal radiation with a main wavelength greater than 3 μm, including the exchange of radiative energy between the sky, the earth's surface, and photovoltaic modules; the emissivity of photovoltaic modules (L) ( ) refers to the emission capability of photovoltaic module materials in the long-wave radiation band; photovoltaic module temperature ( The temperature of a photovoltaic (PV) module under actual operating conditions is used to characterize its thermal state and is distinct from ambient temperature. The temperature of the environment in which the photovoltaic module is located is the air temperature, which serves as a reference temperature for heat exchange between the photovoltaic module and the surrounding air.
[0027] It should be understood that Specifically, it refers to the radiation distribution coefficient of the front side of the component in the long-wave radiation incident from the sky. Specifically, it refers to the radiation distribution coefficient of the front side of the component in the long-wave radiation incident on the Earth's surface. Specifically, it refers to the radiation distribution coefficient of the front side of the photovoltaic panel in the long-wave radiation incident on the front side of the module. Specifically, it refers to the radiation distribution coefficient of the front side of the photovoltaic panel in the long-wave radiation incident on the back side of the panel. Specifically, it refers to the radiation distribution coefficient on the back of the module in the long-wave radiation incident from the sky. Specifically, it refers to the radiation distribution coefficient on the back side of the module in the long-wave radiation incident on the Earth's surface. Specifically, it refers to the radiation distribution coefficient of the back side of the photovoltaic panel in the long-wave radiation incident on the front side of the panel. Specifically, it refers to the radiation distribution coefficient on the back of the photovoltaic panel in the long-wave radiation incident on the back of the panel.
[0028] Specifically, such as Figure 3 As shown, based on the Stefan-Boltzmann law, the long-wave radiation emitted by the modules and the ground surface is calculated using surface temperature and photovoltaic module temperature data, respectively, and downlink long-wave radiation data from the sky is also incorporated. Using the viewing factor method, considering the array geometry, module tilt angle, and emissivity of the modules, the ground surface, and the sky, the long-wave radiation absorbed by the front and back sides of the modules is calculated separately. The calculation formula is as follows: , , in This refers to the absorption of long-wave radiation on the front side of the component. This refers to the absorption of long-wave radiation on the back of the module. and These are long-wave radiation emitted from the sky, the ground, and the front and back of the photovoltaic panel, respectively. Characterizing the ratio of absorbed radiation to total incident radiation at a specific surface, the subscript uses a two-layer labeling system: the first layer... The incident sources are respectively identified as the sky, the ground, the front and back of the photovoltaic panel, and the second layer. , These correspond to the front and back of the component, respectively. For example, This represents the proportion of long-wave radiation absorbed by the front of the component relative to the total incident long-wave radiation from the sky. (Ratio) It is calculated from the viewpoint factor and components in longwave radiation transmission, and the emissivity of the ground surface and sky.
[0029] It should be understood that, in the absence of surface temperature observations, air temperature is used as an approximate input for this process instead of surface temperature.
[0030] In the above embodiments, long-wave radiation absorption parameters are obtained by analyzing meteorological observation data, photovoltaic array geometric parameters, and photovoltaic module data. This effectively overcomes the error problems caused by radiation simplification and improper wind speed handling in existing empirical models, and significantly improves the simulation accuracy of photovoltaic module temperature.
[0031] Optionally, as an embodiment of the present invention, the photovoltaic module data includes the photovoltaic module emissivity, the meteorological observation data includes ambient temperature, and the process of analyzing the long-wave radiation emission of the photovoltaic module data and the meteorological observation data to obtain the long-wave radiation emission includes: Using the ambient air temperature as the photovoltaic module temperature, the long-wave radiation emission is obtained by calculating the emissivity of the photovoltaic module and its temperature using Equation 9. Equation 9 is: , in, This refers to long-wave radiation emission. For the emissivity of photovoltaic modules, The Stefan Boltzmann constant is given. This refers to the temperature of the photovoltaic module.
[0032] Specifically, based on the Stefan-Boltzmann law, the long-wave radiation emitted by the photovoltaic module is calculated using the module's temperature data. Combined with the long-wave radiation absorption module, this provides a complete description of the module's long-wave radiation energy balance. The calculation formula is as follows: , in For the long-wave radiation emitted by photovoltaic modules, The long-wavelength radiative emissivity of photovoltaic modules, The Stefan-Boltzmann constant. This refers to the temperature of the photovoltaic module.
[0033] In the above embodiments, the long-wave radiation emission is obtained by analyzing the photovoltaic module data and meteorological observation data, which fully describes the long-wave radiation energy balance of the module. This effectively overcomes the error problems caused by radiation simplification and improper wind speed handling in existing empirical models, and significantly improves the simulation accuracy of photovoltaic module temperature.
[0034] Optionally, as an embodiment of the present invention, the meteorological observation data includes ambient wind speed, and the photovoltaic array geometric data includes ambient air temperature and characteristic length of photovoltaic modules; The process of analyzing the sensible heat flux from the meteorological observation data and the photovoltaic array geometric structure data to obtain the sensible heat flux includes: The initial photovoltaic module temperature is imported, and the sensible heat flux is calculated using the tenth equation based on the initial photovoltaic module temperature, the ambient wind speed, the ambient air temperature, and the characteristic length of the photovoltaic module. The tenth equation is: , in, , in, , in, , in, For sensible heat flux, air density, The specific heat capacity of air at constant pressure. The convective exchange coefficient, Natural convection wind speed, For ambient wind speed, For temperature difference, The convective heat transfer coefficient is... It is an empirical constant. It is the acceleration due to gravity. The coefficient of thermal expansion of air. The viscosity of air motion. The thermal diffusivity of air. The thermal conductivity of air, The initial temperature of the photovoltaic module. The ambient temperature.
[0035] It should be understood that sensible heat flux (H) refers to the heat flux exchanged between the photovoltaic module and the surrounding air through convection, and is one of the important ways for the module to dissipate heat; the convective heat transfer coefficient (H) The parameter ω refers to the heat exchange capacity between the surface of the photovoltaic module and the air, which is calculated using the relationship between the Nusselt number, Rayleigh number, and Prandtl number. The natural convection wind speed (ω) refers to the equivalent convection velocity caused by the temperature difference between the photovoltaic module and the air, and is used to describe the contribution of natural convection to the heat dissipation of the module. The forced convection wind speed (U) (i.e., ambient wind speed) refers to the convective heat transfer effect of the ambient wind speed on the photovoltaic module, and is used to describe the influence of the external airflow on the heat dissipation of the module.
[0036] Specifically, this process is used to calculate the convective heat flux between photovoltaic modules and air, considering both natural and forced convection, thus improving the accuracy of heat transfer calculations. The sensible heat flux is the product of the convective heat transfer coefficient and the temperature difference, i.e. , in Indicates wind speed. This indicates the natural convection wind speed. The calculation process is as follows: Introducing the definition of sensible heat flux with respect to natural convection velocity and the definition of heat exchange coefficient ,available Based on the theory of natural convection, the relationship between the Nusselt number, Rayleigh number, and Prandtl number is introduced, and the convective heat transfer coefficient is expressed as a function of temperature difference, i.e. .
[0037] In the above embodiments, the sensible heat flux is obtained by analyzing meteorological observation data and photovoltaic array geometric data, which improves the accuracy of heat transfer calculation, effectively overcomes the error problems caused by radiation simplification and improper wind speed treatment in existing empirical models, and significantly improves the simulation accuracy of photovoltaic module temperature.
[0038] Optionally, as an embodiment of the present invention, the radiation absorption data includes the shortwave radiation absorption of the front side of the module, the shortwave radiation absorption of the back side of the module, the longwave radiation absorption of the front side of the module, and the longwave radiation absorption of the back side of the module. The process of performing temperature analysis on the radiation absorption data, the long-wave radiation emission, and the sensible heat flux, and using the analysis results as the temperature processing result of the photovoltaic module, includes: The temperature balance equation for a photovoltaic module is constructed as follows: , in, For power generation efficiency, For the first The absorption of shortwave radiation on the front of the component at each iteration number. For the first Shortwave radiation absorption on the back of the component after each iteration For the first The absorption of long-wave radiation on the front of the component at each iteration number. For the first The absorption of long-wave radiation on the back of the component at the next iteration number. For the first Long-wave radiation emission after each iteration For the first The sensible heat flux in the number of iterations; An initial dataset is obtained by combining the shortwave radiation absorption on the front side of the component, the shortwave radiation absorption on the back side of the component, the longwave radiation absorption on the front side of the component, the longwave radiation emission on the back side of the component, and the sensible heat flux. The photovoltaic module temperature balance equation is solved using an iterative algorithm and the initial dataset to obtain the target photovoltaic module temperature, which is then used as the photovoltaic module temperature processing result.
[0039] It should be understood that the energy balance equation (i.e., the photovoltaic module temperature balance equation) refers to the relationship established based on the principle of energy conservation, which is used to describe the balance relationship between various energy inputs, outputs and transmission processes of photovoltaic modules under steady-state conditions.
[0040] It should be understood that photovoltaic modules satisfy the following energy balance relationship under steady-state conditions: (1 - power generation efficiency) × absorbed shortwave radiation + absorbed longwave radiation = emitted longwave radiation + sensible heat flux.
[0041] In the above embodiments, temperature analysis is performed on radiation absorption data, long-wave radiation emission, and sensible heat flux, and the analysis results are used as the temperature processing results of photovoltaic modules. This can reduce reliance on experience while improving the accuracy and applicability of the model. It effectively overcomes the error problems caused by radiation simplification and improper wind speed processing in existing empirical models, significantly improves the simulation accuracy of photovoltaic module temperature, and provides reliable technical support for photovoltaic power assessment, module thermal safety analysis, and refined modeling of new energy systems.
[0042] Alternatively, as another embodiment of the present invention, the solution process of the present invention is as follows: (1) Input the necessary data for photovoltaic module temperature calculation, including solar position, photovoltaic array geometric parameters, meteorological observation data, etc.; (2) Based on the input data, calculate the shortwave radiation energy absorbed by the photovoltaic module under a given operating condition and the longwave radiation energy participating in energy exchange; (3) Based on the energy conservation relationship of photovoltaic modules, establish a photovoltaic module temperature balance equation that includes shortwave radiation, longwave radiation, convective heat transfer and power output terms, and form a nonlinear equation about the temperature of photovoltaic modules. (4) The nonlinear temperature equation is solved by an iterative method to obtain the operating temperature of the photovoltaic module under the corresponding operating conditions; (5) Output the obtained photovoltaic module temperature results.
[0043] Optionally, as another embodiment of the present invention, the present invention aims to establish a photovoltaic module temperature calculation method based on the principle of energy conservation. By characterizing the absorption and emission processes of short-wave radiation and long-wave radiation, and introducing a method for solving convective heat transfer parameters with physical constraints, a photovoltaic module temperature modeling scheme with clear physical meaning, complete calculation process and implementability is formed for calculating the operating temperature of photovoltaic modules.
[0044] Optionally, as another embodiment of the present invention, the present invention proposes a photovoltaic module temperature model that takes complete energy balance as the core, accurately describes the absorption process of short-wave radiation and long-wave radiation, and inverts the convective heat transfer parameters through physical constraint methods, thereby reducing reliance on experience while improving the accuracy and applicability of the model.
[0045] Alternatively, as another embodiment of the present invention, the key points of the present invention are as follows: I. A method for temperature modeling of photovoltaic modules based on the complete energy balance equation; II. Application of a novel radiative transfer parameterization scheme (PVRT) in the temperature model of photovoltaic modules.
[0046] Optionally, as another embodiment of the present invention, based on a complete characterization of the photovoltaic module's energy balance equation, the present invention effectively overcomes the error problems caused by radiation simplification and improper wind speed handling in existing empirical models. Because the core parameters of the model have clear physical meanings, it has better adaptability to different sites and different climatic conditions.
[0047] Meanwhile, while maintaining computational feasibility, this invention significantly improves the accuracy of photovoltaic module temperature simulation, providing reliable technical support for photovoltaic power assessment, module thermal safety analysis, and refined modeling of new energy systems.
[0048] Figure 4 This is a block diagram of a photovoltaic module temperature treatment device provided in an embodiment of the present invention.
[0049] Alternatively, as another embodiment of the present invention, such as Figure 4 As shown, a photovoltaic module temperature treatment device includes: The import module is used to import solar position data, photovoltaic array geometry data, meteorological observation data, and photovoltaic module data. The radiation absorption data analysis module is used to analyze the radiation absorption data of the meteorological observation data, the geometric parameters of the photovoltaic array, the photovoltaic module data, and the solar position parameters to obtain radiation absorption data. The long-wave radiation emission analysis module is used to analyze the long-wave radiation emission of the photovoltaic module data and the meteorological observation data to obtain the long-wave radiation emission. The sensible heat flux analysis module is used to analyze the sensible heat flux of the meteorological observation data and the geometric structure data of the photovoltaic array to obtain the sensible heat flux. The processing result acquisition module is used to perform temperature analysis on the radiation absorption data, the long-wave radiation emission, and the sensible heat flux, and use the analysis results as the temperature processing result of the photovoltaic module.
[0050] Optionally, another embodiment of the present invention provides a photovoltaic module temperature processing system, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the photovoltaic module temperature processing method described above. This system can be a computer or similar system.
[0051] Optionally, another embodiment of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the photovoltaic module temperature processing method as described above.
[0052] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.
[0053] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described apparatus and unit can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.
[0054] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed.
[0055] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments of the present invention, depending on actual needs.
[0056] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0057] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0058] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A method for temperature treatment of photovoltaic modules, characterized in that, Includes the following steps: Import solar position data, photovoltaic array geometry data, meteorological observation data, and photovoltaic module data; The radiation absorption data is obtained by analyzing the meteorological observation data, the geometric parameters of the photovoltaic array, the photovoltaic module data, and the solar position parameters. The long-wave radiation emission is obtained by analyzing the photovoltaic module data and the meteorological observation data. The sensible heat flux is obtained by analyzing the meteorological observation data and the geometric structure data of the photovoltaic array. Temperature analysis is performed on the radiation absorption data, the long-wave radiation emission, and the sensible heat flux, and the analysis results are used as the temperature processing results of the photovoltaic module.
2. The photovoltaic module temperature treatment method according to claim 1, characterized in that, The process of analyzing the radiation absorption data from the meteorological observation data, the geometric parameters of the photovoltaic array, the photovoltaic module data, and the solar position parameters to obtain radiation absorption data includes: The shortwave radiation absorption parameters are obtained by analyzing the meteorological observation data, the geometric parameters of the photovoltaic array, the photovoltaic module data, and the solar position parameters. The meteorological observation data, the geometric parameters of the photovoltaic array, and the photovoltaic module data are analyzed to obtain long-wave radiation absorption parameters. The radiation absorption data includes the short-wave radiation absorption parameters and the long-wave radiation absorption parameters.
3. The photovoltaic module temperature treatment method according to claim 2, characterized in that, The meteorological observation data includes horizontal direct solar irradiance, horizontal solar diffuse irradiance, and surface reflectivity; the photovoltaic array geometric parameters include photovoltaic module characteristic dimensions, photovoltaic array row spacing, module tilt angle, array height, and row spacing; the photovoltaic module data includes the front reflectivity of the photovoltaic module; and the solar position parameters include the solar altitude angle and the solar azimuth angle. The process of analyzing the meteorological observation data, the geometric parameters of the photovoltaic array, the photovoltaic module data, and the solar position parameters to obtain the shortwave radiation absorption parameters includes: The solar elevation angle, solar azimuth angle, component tilt angle, array height, and row spacing are solved by a pre-constructed radiative transfer geometric model to obtain the shortwave direct radiation viewing angle factor on the front of the component, the shortwave direct radiation viewing angle factor on the back of the component, the shortwave scattered radiation viewing angle factor on the front of the component, and the shortwave scattered radiation viewing angle factor on the back of the component. The shortwave direct radiation distribution coefficient on the front of the module is obtained by calculating the viewing angle factor and the reflectivity of the front of the photovoltaic module using the first formula. The first formula is: ， in, The distribution coefficient of shortwave direct radiation on the front of the component. The viewing angle factor for the shortwave direct radiation from the front of the component. The reflectivity of the front side of the photovoltaic module; The shortwave scattered radiation distribution coefficient of the front side of the component is obtained by calculating the viewing angle factor of the shortwave scattered radiation on the front side of the component and the surface reflectivity using the second equation. The second equation is: ， in, Assignment coefficient for shortwave scattered radiation from the front of the component. The viewing angle factor for the shortwave scattering radiation from the front of the component. Surface reflectance; The shortwave direct radiation distribution coefficient on the back of the component is obtained by calculating the shortwave direct radiation viewing angle factor on the back of the component and the surface reflectivity using the third equation. The third equation is: ， in, The distribution coefficient of shortwave direct radiation on the back of the module. The viewing angle factor for shortwave direct radiation from the back of the module. Surface reflectance; The shortwave scattering radiation distribution coefficient on the back of the module is obtained by calculating the viewing angle factor of the shortwave scattering radiation on the back of the module and the reflectivity of the front of the photovoltaic module using the fourth equation. The fourth equation is: ， in, The shortwave scattering radiation distribution coefficient on the back of the module. The viewing angle factor for shortwave scattered radiation from the back of the module. The reflectivity of the front side of the photovoltaic module; The shortwave radiation absorption on the front of the photovoltaic module is calculated using the fifth equation, which considers the characteristic dimensions of the photovoltaic module, the row spacing of the photovoltaic array, the direct solar irradiance on the horizontal plane, the diffuse solar irradiance on the horizontal plane, the shortwave direct radiation distribution coefficient on the front of the module, and the shortwave diffuse radiation distribution coefficient on the front of the module. The fifth equation is as follows: ， in, This refers to the absorption of shortwave radiation on the front side of the component. For photovoltaic module feature dimensions, The spacing between rows of the photovoltaic array. The solar direct irradiance on a horizontal surface. This refers to the solar diffuse irradiance on a horizontal surface. The distribution coefficient of shortwave direct radiation on the front of the component. Assignment coefficient for shortwave scattered radiation from the front of the component; The sixth equation is used to calculate the shortwave radiation absorption on the back of the photovoltaic module by considering the characteristic dimensions of the photovoltaic module, the row spacing of the photovoltaic array, the direct solar irradiance on the horizontal plane, the diffuse solar irradiance on the horizontal plane, the shortwave direct radiation distribution coefficient on the back of the module, and the diffuse shortwave radiation distribution coefficient on the back of the module. The shortwave radiation absorption parameters include the shortwave radiation absorption on the front of the module and the shortwave radiation absorption on the back of the module. The sixth equation is: ， in, This refers to the absorption of shortwave radiation on the back of the module. For photovoltaic module feature dimensions, The spacing between rows of the photovoltaic array. The solar direct irradiance on a horizontal surface. This refers to the solar diffuse irradiance on a horizontal surface. The distribution coefficient of shortwave direct radiation on the back of the module. The shortwave scattering radiation assignment coefficient on the back of the component.
4. The photovoltaic module temperature treatment method according to claim 2, characterized in that, The meteorological observation data includes ambient air temperature, surface temperature, surface emissivity, and sky emissivity. The geometric parameters of the photovoltaic array include the characteristic dimensions of the photovoltaic modules, the row spacing of the photovoltaic array, the tilt angle of the modules, the array height, the spatial relative position of the front of the modules, the spatial relative position of the back of the modules, and the emissivity of the front of the modules. The photovoltaic module data includes the emissivity of the photovoltaic modules. The process of analyzing the meteorological observation data, the geometric parameters of the photovoltaic array, and the photovoltaic module data to obtain the long-wave radiation absorption parameters includes: The tilt angle of the component, the height of the array, the spatial relative position of the front of the component, and the spatial relative position of the back of the component are solved by a pre-constructed geometric model of the view factor, to obtain the long-wave sky view factor of the front of the component, the long-wave sky view factor of the back of the component, the long-wave ground view factor of the front of the component, the long-wave ground view factor of the back of the component, the long-wave self-view factor of the front of the component, the long-wave view factor of the front and back of the first component, the long-wave view factor of the front and back of the second component, and the long-wave self-view factor of the back of the component. Based on the emissivity of the front of the component, the long-wave sky view factor of the front of the component, the long-wave sky view factor of the back of the component, the long-wave surface view factor of the front of the component, the long-wave surface view factor of the back of the component, the long-wave self-view factor of the front of the component, the long-wave view factors of the front and back of the first component, the long-wave view factors of the front and back of the second component, and the long-wave self-view factor of the back of the component are multiplied to obtain the long-wave sky radiation distribution coefficient of the front of the component, the long-wave sky radiation distribution coefficient of the back of the component, the long-wave surface radiation distribution coefficient of the front of the component, the long-wave surface radiation distribution coefficient of the back of the component, the long-wave self-radiation distribution coefficient of the front of the component, the long-wave radiation distribution coefficient of the front of the first component, the long-wave radiation distribution coefficient of the front and back of the second component, and the long-wave self-radiation distribution coefficient of the back of the component. Using the ambient air temperature as the photovoltaic module temperature, the characteristic dimensions of the photovoltaic module, the row spacing of the photovoltaic array, the ambient air temperature, the ground surface temperature, the photovoltaic module temperature, the ground surface emissivity, the sky emissivity, the photovoltaic module emissivity, the long-wave sky radiation distribution coefficient of the front side of the module, the long-wave ground surface radiation distribution coefficient of the front side of the module, the long-wave self-radiation distribution coefficient of the front side of the module, and the long-wave radiation distribution coefficients of the front and back sides of the first module are calculated using the seventh equation to obtain the long-wave radiation absorption of the front side of the module. The seventh equation is: ， in, , , , in, This refers to the absorption of long-wave radiation on the front side of the component. For photovoltaic module feature dimensions, The spacing between rows of the photovoltaic array. This refers to the amount of long-wave radiation from the sky. The long-wave sky radiation distribution coefficient on the front of the component. This refers to the amount of longwave radiation on the ground. The distribution coefficient of long-wave surface radiation on the front side of the component. For the frontal emission of the component, The long-wavelength self-radiation distribution coefficient on the front side of the component. Launched from the back of the component. The longwave radiation distribution coefficients for the front and back sides of the first component. For sky emission rate, The Stefan Boltzmann constant is given. For ambient temperature, For surface emissivity, For surface temperature, For the emissivity of photovoltaic modules, Temperature of the photovoltaic module; The eighth equation is used to calculate the long-wave radiation absorption on the back of the photovoltaic module by considering the characteristic dimensions of the photovoltaic module, the row spacing of the photovoltaic array, the ambient air temperature, the surface temperature, the temperature of the photovoltaic module, the surface emissivity, the sky emissivity, the emissivity of the photovoltaic module, the long-wave sky radiation distribution coefficient on the back of the module, the long-wave surface radiation distribution coefficient on the back of the module, the long-wave radiation distribution coefficients on the front and back of the second module, and the long-wave self-radiation distribution coefficient on the back of the module. The long-wave radiation absorption parameters include the long-wave radiation absorption on the front of the module and the long-wave radiation absorption on the back of the module. The eighth equation is: ， in, , , , in, This refers to the absorption of long-wave radiation on the back of the module. For photovoltaic module feature dimensions, The spacing between rows of the photovoltaic array. This refers to the amount of long-wave radiation from the sky. The long-wave sky radiation distribution coefficient on the back of the module. This refers to the amount of longwave radiation on the ground. The distribution coefficient of long-wave surface radiation on the back of the component. For the frontal emission of the component, The longwave radiation distribution coefficients for the front and back sides of the second component. Launched from the back of the component. The long-wavelength self-radiation distribution coefficient on the back of the module. For sky emission rate, The Stefan Boltzmann constant is given. For ambient temperature, For surface emissivity, For surface temperature, For the emissivity of photovoltaic modules, This refers to the temperature of the photovoltaic module.
5. The photovoltaic module temperature treatment method according to claim 1, characterized in that, The photovoltaic module data includes the photovoltaic module emissivity, and the meteorological observation data includes ambient temperature. The process of analyzing the long-wave radiation emission of the photovoltaic module data and the meteorological observation data to obtain the long-wave radiation emission includes: Using the ambient air temperature as the photovoltaic module temperature, the long-wave radiation emission is obtained by calculating the emissivity of the photovoltaic module and its temperature using Equation 9. Equation 9 is: ， in, This refers to long-wave radiation emission. For the emissivity of photovoltaic modules, The Stefan Boltzmann constant is given. This refers to the temperature of the photovoltaic module.
6. The photovoltaic module temperature treatment method according to claim 1, characterized in that, The meteorological observation data includes ambient wind speed, and the photovoltaic array geometric data includes ambient air temperature and characteristic length of photovoltaic modules. The process of analyzing the sensible heat flux from the meteorological observation data and the photovoltaic array geometric structure data to obtain the sensible heat flux includes: The initial photovoltaic module temperature is imported, and the sensible heat flux is calculated using the tenth equation based on the initial photovoltaic module temperature, the ambient wind speed, the ambient air temperature, and the characteristic length of the photovoltaic module. The tenth equation is: ， in, , in, , in, , in, For sensible heat flux, air density, The specific heat capacity of air at constant pressure. The convective exchange coefficient, Natural convection wind speed, For ambient wind speed, For temperature difference, The convective heat transfer coefficient is... It is an empirical constant. It is the acceleration due to gravity. The coefficient of thermal expansion of air. The viscosity of air motion. The thermal diffusivity of air. The thermal conductivity of air, The initial temperature of the photovoltaic module. The ambient temperature.
7. The photovoltaic module temperature treatment method according to claim 1, characterized in that, The radiation absorption data includes the shortwave radiation absorption on the front of the module, the shortwave radiation absorption on the back of the module, the longwave radiation absorption on the front of the module, and the longwave radiation absorption on the back of the module. The process of performing temperature analysis on the radiation absorption data, the long-wave radiation emission, and the sensible heat flux, and using the analysis results as the temperature processing result of the photovoltaic module, includes: The temperature balance equation for a photovoltaic module is constructed as follows: ， in, For power generation efficiency, For the first The absorption of shortwave radiation on the front of the component at each iteration number. For the first Shortwave radiation absorption on the back of the component after each iteration For the first The absorption of long-wave radiation on the front of the component at each iteration number. For the first The absorption of long-wave radiation on the back of the component at the next iteration number. For the first Long-wave radiation emission after each iteration For the first The sensible heat flux in the number of iterations; An initial dataset is obtained by combining the shortwave radiation absorption on the front side of the component, the shortwave radiation absorption on the back side of the component, the longwave radiation absorption on the front side of the component, the longwave radiation emission on the back side of the component, and the sensible heat flux. The photovoltaic module temperature balance equation is solved using an iterative algorithm and the initial dataset to obtain the target photovoltaic module temperature, which is then used as the photovoltaic module temperature processing result.
8. A photovoltaic module temperature treatment device, characterized in that, include: The import module is used to import solar position data, photovoltaic array geometry data, meteorological observation data, and photovoltaic module data. The radiation absorption data analysis module is used to analyze the radiation absorption data of the meteorological observation data, the geometric parameters of the photovoltaic array, the photovoltaic module data, and the solar position parameters to obtain radiation absorption data. The long-wave radiation emission analysis module is used to analyze the long-wave radiation emission of the photovoltaic module data and the meteorological observation data to obtain the long-wave radiation emission. The sensible heat flux analysis module is used to analyze the sensible heat flux of the meteorological observation data and the geometric structure data of the photovoltaic array to obtain the sensible heat flux. The processing result acquisition module is used to perform temperature analysis on the radiation absorption data, the long-wave radiation emission, and the sensible heat flux, and use the analysis results as the temperature processing result of the photovoltaic module.
9. A photovoltaic module temperature treatment device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the photovoltaic module temperature treatment method as described in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the photovoltaic module temperature treatment method as described in any one of claims 1 to 7.