Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Photovoltaic resource assessment optimization method and system based on historical meteorological data

A technology of meteorological data and optimization method, which is applied in the field of photovoltaic resource evaluation and optimization based on historical meteorological data, can solve the problems of large time cost and labor cost, limited human resources, and take longer time, so as to improve the efficiency of evaluation and improve Evaluate efficiency and shorten the effect of evaluation cycle

Active Publication Date: 2016-09-21
北京驭能者能源科技有限公司
View PDF8 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. Consuming a lot of manpower and material resources: It often takes a lot of time and manpower to go to the site of the planned power station for on-site survey
[0006] 2. The data collection method is inefficient: directly install irradiance meters and other equipment on site, observe and record data for a long time, which is inefficient, takes a long time, and the data collection samples are small, which cannot accurately reflect the local photovoltaic resources.
[0007] 3. The collected data is limited to local use: the results of local lighting data collection and statistics can only reflect the local photovoltaic resources
If you want to build photovoltaic power plants in other locations, you need to carry out the same data collection and statistical work for the local area. Due to limited human resources, it is impossible to collect photovoltaic resources nationwide at the same time. Therefore, it will take longer in the evaluation stage
[0008] 4. The presentation method of photovoltaic resources is not intuitive: the statistical results of photovoltaic resource collection are presented in the form of data, which is not intuitive enough, and the evaluation requires professionals to spend a lot of energy to achieve

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Photovoltaic resource assessment optimization method and system based on historical meteorological data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0066] The present invention will be described in detail below in conjunction with embodiments and accompanying drawings.

[0067] Concrete steps of the present invention are:

[0068] Obtain nationwide historical meteorological data, statistically archive the data, transform it into a data form that meets the needs of mapping, and provide data sources for the entire mapping function; the specific method is: import the original historical meteorological data into the database ; Calculate the imported annual total irradiance value of all data points across the country, the best inclination angle for installation, the available hours for the optimal inclination angle, the available hours for the horizontal plane and other parameters, and store them in the database.

[0069] ①Map area selection

[0070] Open ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a photovoltaic resource assessment optimization method and system based on historical meteorological data. The photovoltaic resource assessment optimization method comprises the following steps: 1) acquiring the historical meteorological data on a national scale, and computing and archiving the data and converting the form of the data into a data form satisfying the requirement of mapping so as to provide the data source for the whole mapping function; 2) selecting an area on a satellite map, taking the longitude and the latitude of the coordinate point of a diagonal point within the selected area range as the parameters, and then calling a mapping interface in a background service program; 3) using a mapping interface function for background service to inquire the longitude, the latitude and the total irradiance data required by mapping of the selected area, and using the related command of an NCL (The NCAR Command Language) mapping tool to generate a resource distribution map; and 4) loading the resource distribution map, superposing the resource distribution map above the map in a semi-transparent mode, and checking the resource distribution situation by means of combination of the map. The photovoltaic resource assessment optimization method and system based on historical meteorological data can provide a creative assessment scheme for a user, and can greatly improve the efficiency of assessment, and can reduce the assessment time and the assessment cost.

Description

technical field [0001] The invention belongs to the field of photovoltaic power station design and construction, and in particular relates to a method and system for evaluating and optimizing photovoltaic resources based on historical meteorological data. Background technique [0002] In recent years, with the country's strong advocacy and support for clean energy, photovoltaic power generation has played an important role in the field of clean energy, occupying an important position, and the construction of photovoltaic power stations has also flourished. The entire life cycle of photovoltaic power plants can be roughly divided into four stages: feasibility study stage, design stage, construction stage, and production and operation stage. In the feasibility study stage, it is necessary to accurately evaluate the photovoltaic resources. The quality of photovoltaic resources determines the power generation capacity of the power station to a large extent, and also affects the ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0637G06Q50/06
Inventor 葛宝苹张志敏袁浩
Owner 北京驭能者能源科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products