A method for calculating the quantitative impact of haze on photovoltaic power generation
A power generation and photovoltaic technology, which is applied in the field of calculating the quantitative impact of haze on photovoltaic power generation, and can solve the problems of solar radiation and photovoltaic power generation, rough photoelectric conversion efficiency, error in analysis results, etc.
Active Publication Date: 2022-07-12
HANGZHOU DIANZI UNIV
View PDF3 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] Existing studies have made some progress in the influence of air pollution on solar radiation, but most studies only discuss the relationship between haze concentration and irradiance from a qualitative point of view, while quantitatively analyzing the relationship between haze concentration and ground solar radiation Less, the conversion of solar radiation and photovoltaic power generation is mostly a rough photoelectric conversion efficiency, resulting in large errors in the analysis results
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0049] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0050] like figure 1 As shown, the concrete steps of the inventive method are as follows:
[0051] Step 1. Collect meteorological data, air quality data, and photovoltaic power generation data, conduct a data rationality integrity test, complete data filtering, normalize data seasons, and establish a clear sky database.
[0052] By establishing a data filter to remove data other than sunny days, because rainy days and other bad weather will have a huge impact on photovoltaic power generation, it will cause large errors in subsequent analysis. figure 2 shown. The data is seasonally normalized as image 3 , the seasonal normalization of the data uses the maximum-minimum normalization to perform a linear change on the data, which can maintain the relationship between the original data, so that the data will not produce misleading results in the analysis ...
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
Login to View More Abstract
The invention provides a method for calculating the quantitative influence of haze on photovoltaic power generation. The present invention first collects meteorological data, air quality data and photovoltaic power generation data, completes data filtering, normalizes data seasons, and establishes a clear sky database. The improved grey correlation degree is used to analyze the correlation degree between each influencing factor in the photovoltaic power generation system and the photovoltaic power generation; Quantitative impact. According to the existing photovoltaic power generation system, the simulink photovoltaic power generation system model is established, the photovoltaic power generation corresponding to no haze is obtained, and the quantitative impact of haze on the photovoltaic power generation is obtained. The method of the invention can quantitatively describe the influence of haze on photovoltaic power generation, which is of great significance to the economic evaluation of new photovoltaic systems, forecasting and dispatching of photovoltaic systems in service, and provides decision-making reference for the application and development of new energy. contribute to air quality.
Description
technical field [0001] The invention belongs to the field of photovoltaic power generation, and relates to quantitative analysis of haze (PM2.5) in meteorology to reduce direct radiation and increase scattered radiation resulting in a decrease in solar irradiance, and to analyze the relationship between various influencing factors and photovoltaic power generation based on the improved grey slope correlation degree. The influence weights of , create an exponential linear composite model, and specifically involve a method to quantitatively analyze the loss of photovoltaic power generation caused by PM2.5. Background technique [0002] Smog is a very common air pollution phenomenon with a wide range of pollution. Since 2013, many areas in my country have frequently experienced haze weather in winter. The haze problem has been significantly improved; but compared with other developed countries, China's air pollution problem is still serious. Air pollution mainly includes small ...
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
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/18G06Q10/06G06Q50/06
CPCG06F17/18G06Q10/06393G06Q50/06Y04S10/50
Inventor 吴秋轩蒋咏梅迟晓妮石厅罗艳斌曾平良
Owner HANGZHOU DIANZI UNIV