CN111723962A - Generating capacity prediction system and method - Google Patents
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Abstract
The invention discloses a power generation amount prediction system which is used for predicting the power generation amount of a photovoltaic module and is characterized by comprising a basic data setting module and a power generation amount calculating module, wherein the basic data setting module is used for setting meteorological geographic data, photovoltaic module parameters and inverter parameters, and the power generation amount calculating module is used for calculating the power generation amount of the photovoltaic module based on the meteorological geographic data, the photovoltaic module parameters and the inverter parameters to obtain a power generation amount prediction result. Has the advantages that: the generated energy can be accurately predicted aiming at the photovoltaic module.
Description
Technical Field
The invention relates to the technical field of power generation amount prediction, in particular to a power generation amount prediction system and a power generation amount prediction method.
Background
In recent years, research on the BIM (building information model) technology at home and abroad is actively carried out, popularization and application in the engineering field are becoming wide, the omnibearing change of the building industry is caused, and the BIM application technology is already mature.
At present, no mature software for performing generated energy prediction analysis on a thin-film solar curtain wall component exists in the market, and the establishment of a set of software for solar power generation prediction and data statistics based on a BIM platform has important significance. The generating capacity prediction software expands the basic application of the BIM model, so that the BIM is not only model information, but also more extended to the functions of design, control, calculation, management and the like.
Disclosure of Invention
In order to solve the technical problem, the invention provides a system and a method for predicting power generation, which can predict the power generation aiming at a photovoltaic module.
The invention particularly provides a generating capacity prediction system which is used for predicting the generating capacity of a photovoltaic module and comprises a basic data setting module and a generating capacity calculating module, wherein the basic data setting module is used for setting meteorological geographic data, photovoltaic module parameters and inverter parameters, and the generating capacity calculating module calculates the generating capacity of the photovoltaic module based on the meteorological geographic data, the photovoltaic module parameters and the inverter parameters to obtain a generating capacity prediction result.
The invention also provides a generating capacity prediction method, which specifically comprises the following steps:
step 1: setting meteorological geographic data, photovoltaic module and inverter parameters;
step 2: browsing and viewing component model information in a three-dimensional view;
and step 3: calculating the power generation amount based on meteorological geographic data, photovoltaic modules and inverter parameters and generating a histogram;
and 4, step 4: and deriving a power generation amount report.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the example serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a schematic diagram of a system for generating power generation prediction according to the present invention;
FIG. 2 is a schematic view of a photovoltaic module according to the present invention in relation to sunlight;
FIG. 3 is a schematic diagram of the inclination and azimuth of a photovoltaic module according to the present invention in a coordinate system;
FIGS. 4 and 5 are partial parameters, parameter definitions and calculation formulas in power calculation;
fig. 6 is a flowchart of a power generation amount prediction method according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without any inventive step, are within the scope of protection of the invention.
Referring to fig. 1 to 5, an embodiment of an electric energy generation amount prediction system according to the present invention provides an electric energy generation amount prediction system for predicting an electric energy generation amount of a photovoltaic module, including a basic data setting module 1 and an electric energy generation amount calculation module 3, where the basic data setting module 1 is configured to set meteorological geographic data, photovoltaic module parameters, and inverter parameters, and the electric energy generation amount calculation module 3 calculates an electric energy generation amount of the photovoltaic module based on the meteorological geographic data, the photovoltaic module parameters, and the inverter parameters to obtain an electric energy generation amount prediction result. The generated energy prediction system of the embodiment realizes the generated energy prediction based on a computer program, the computer program is integrated on a Revit software platform, the research, the design and the data analysis of a photovoltaic power generation system can be completely carried out, and specifically, aiming at a photovoltaic module, meteorological geographic data, photovoltaic module parameters and inverter parameters are integrated, and the generated energy prediction of the photovoltaic module is realized by utilizing the existing power calculation method stored in a computer.
In particular, the photovoltaic module comprises a BIPV (building integrated photovoltaic) module. Because most of the existing software is used for predicting the power generation amount of a photovoltaic power station, aiming at the immaturity of a photovoltaic module, some foreign analysis software cannot meet the domestic product requirements in use, and the local work is not in place. The embodiment combines BIM technology and BIPV application, and data model building is carried out on the Revit platform, so that effective data can be truly and nondestructively reserved. According to the power generation efficiency of the components, the data are input into a data model, the optimal arrangement scheme and the maximum installation power of the project are accurately and quickly counted according to the environmental characteristics of the place where the project is located, the uncertainty of a traditional calculation method is solved, and the working efficiency is higher. The method overcomes the defects of the prior art, better realizes software localization, integrates a large number of solar calculation formulas, and can conveniently and rapidly predict and count the generated energy information only by simple condition setting. The solar energy calculation formula is calculated in the background, and a user only needs to input basic conditions according to a project, so that even non-professional personnel can conveniently and quickly predict and count the generated energy information of the project design.
A preferred embodiment of the present invention further includes a graph generation module 4, and the graph generation module 4 generates a histogram based on the power generation amount prediction result. The preferred embodiment expresses the generated energy prediction result in a histogram mode, is more intuitive, and improves the customer experience. The graph generation module 4 is not limited to generating a histogram, and may be another graph expression such as a sector graph.
Another preferred embodiment of the present invention further comprises a report generation module 5, and the report generation module 5 analyzes the power generation amount prediction result and generates a power generation amount analysis report. The preferred embodiment can analyze the power generation prediction result, generate a corresponding analysis report and provide a basis for subsequent data processing. The demand of BIPV products on the power generation condition is met, a set of effective operation guiding system is formed, and the system can be widely applied to thin-film solar buildings.
In another preferred embodiment of the present invention, the meteorological geographic data, photovoltaic module parameters and inverter parameters are pre-stored in a database. Therefore, great convenience is provided for data calling, basic data setting can be completed only by selecting data, and different data setting can be completed by aiming at different power generation amount prediction methods.
Another preferred embodiment of the present invention further includes a three-dimensional browsing module, wherein the three-dimensional browsing module 2 is capable of displaying three-dimensional model information of the photovoltaic module according to parameters of the photovoltaic module, and the three-dimensional model information of the photovoltaic module is stored in a database in advance. The preferred embodiment can display the three-dimensional model information established by the photovoltaic module before the power generation amount is predicted, and the photovoltaic module can be observed more intuitively.
In another preferred embodiment of the present invention, the meteorological geographic data includes longitude, latitude, horizontal plane total radiation monthly average insolation, horizontal direct scattering monthly average insolation, monthly average outdoor air temperature, and total clouds. The specific implementation process is not limited to the meteorological data and geographic data provided by the preferred embodiment.
In another preferred embodiment of the invention, the inverter parameters include maximum dc input, rated dc input, maximum efficiency, minimum voltage, maximum dc voltage and maximum dc current. In the implementation process, the inverter parameters provided by the preferred embodiment are not limited. It is also possible to include geometrical information of the inverter, product information of the inverter, manufacturer information of the inverter, etc.
In another preferred embodiment of the present invention, the photovoltaic module parameters include module material, peak wattage, conversion efficiency, number of installations, installation area and installed capacity. In the specific implementation process, the photovoltaic module parameters provided by the preferred embodiment are not limited. And may also include information such as the model of the component, the geometry of the component, the orientation of the component, the tilt angle of the component, the occlusion of the component, etc.
Referring to fig. 6, an embodiment of a power generation amount prediction method according to the present invention provides a power generation amount prediction method, specifically including the steps of:
step 1: setting meteorological geographic data, photovoltaic modules and inverter parameters 101;
step 2: three-dimensional view browsing view component model information 102;
and step 3: calculating the power generation amount based on the meteorological geographic data, the photovoltaic module and the inverter parameters and generating a bar chart 103;
and 4, step 4: a power generation amount report 104 is derived.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. The power generation amount prediction system is used for predicting the power generation amount of a photovoltaic module and is characterized by comprising a basic data setting module and a power generation amount calculating module, wherein the basic data setting module is used for setting meteorological geographic data, photovoltaic module parameters and inverter parameters, and the power generation amount calculating module is used for calculating the power generation amount of the photovoltaic module based on the meteorological geographic data, the photovoltaic module parameters and the inverter parameters to obtain a power generation amount prediction result.
2. The electric power generation amount prediction system according to claim 1, further comprising a graph generation module that generates a histogram based on the electric power generation amount prediction result.
3. The power generation amount prediction system according to claim 1, further comprising a report generation module that analyzes the power generation amount prediction result and generates a power generation amount analysis report.
4. The power generation amount prediction system according to claim 1, wherein the meteorological geographic data, photovoltaic module parameters, and inverter parameters are stored in a database in advance.
5. The power generation amount prediction system according to claim 1, further comprising a three-dimensional browsing module that is capable of displaying three-dimensional model information of the photovoltaic module according to parameters of the photovoltaic module, the three-dimensional model information of the photovoltaic module being stored in a database in advance.
6. The power generation amount prediction system according to claim 1, wherein the meteorological geographic data includes longitude, latitude, horizontal plane total radiation monthly average insolation amount, horizontal direct scattering monthly average insolation amount, monthly average outdoor air temperature, and total cloud amount.
7. The power generation amount prediction system of claim 1, wherein the inverter parameters include a maximum dc input, a rated dc input, a maximum efficiency, a minimum voltage, a maximum dc voltage, and a maximum dc current.
8. The power generation amount prediction system of claim 1, wherein the photovoltaic module parameters include module material, peak wattage, conversion efficiency, number of installations, installation area, and installed capacity.
9. A power generation amount prediction method is characterized by specifically adopting the following steps:
step 1: setting meteorological geographic data, photovoltaic module and inverter parameters;
step 2: browsing and viewing component model information in a three-dimensional view;
and step 3: calculating the power generation amount based on meteorological geographic data, photovoltaic modules and inverter parameters and generating a histogram;
and 4, step 4: and deriving a power generation amount report.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114201876A (en) * | 2021-12-08 | 2022-03-18 | 国家电投集团青海光伏产业创新中心有限公司 | Shadow shielding loss evaluation method for building photovoltaic power station in existing wind power plant |
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