Method for predicating temperature of photovoltaic cell through photo-thermal property coupling

Abstract

The invention discloses a method for predicating the temperature of a photovoltaic cell through photo-thermal property coupling. The method includes the following steps that in combination with actual time and irradiance information provided by TMY data obtained through standard measurement, vertical equivalence is performed on incident light of the photovoltaic cell module, and based on an atmospheric dispersion longitudinal transmission model method, a vertical equivalence incident spectrum of a disperse wavelength is obtained; in combination with a crystal silicon layer texture structure and photo-thermal coupling properties of the anti-reflection process of an ARC layer, the wavelength dispersion absorption coefficient of each layer of the layered structure of the photovoltaic cell is calculated to obtained the flux of radiation absorbed by each layer of the structure; a layered structure energy balance equation of the photovoltaic cell is established, and a photovoltaic cell layered structure working temperature sequence corresponding to a time sequence is obtained through iterative calculation. On the basis of the existing function of predicating the output power of the photovoltaic cell, the function of predicating the working temperature of the photovoltaic cell module is further achieved, so that the precision of predicating the output power of the photovoltaic cell module is easily improved, and accordingly the output power of the photovoltaic cell module is accurately predicated.

Description

technical field [0001] The invention relates to a method for predicting the temperature of a photovoltaic cell coupled with photothermal characteristics. Background technique [0002] With the continuous development of social economy, the shortage of fossil energy and the increasingly serious environmental pollution, people put forward higher and higher requirements for energy. Finding new energy has become an urgent task for human beings, and the development and utilization of renewable energy is imminent. Among them, solar energy, as one of the clean renewable energy sources with large-scale development prospects, is widely used in household small-scale solar power generation systems, large-scale photovoltaic grid-connected power stations, building-integrated photovoltaic glass curtain walls, solar street lights, and wind-solar complementary power supply systems. It has received extensive attention and in-depth research. [0003] Solar photovoltaic power generation is the...

AI Technical Summary

Problems solved by technology

However, in the temperature prediction process of the existing hierarchical structure of photovoltaic cells, the textured structure of the crystalline silicon surface and the thin film optical anti-reflection effect of the ARC layer are not considered in combination with the optical transmission of the hierarchical structure, that is, the relationship between the incident light and The influence of the coupling effect of photothermal characteristics between the hierarchical structures of photovoltaic cells is also one of the reasons for the deviation of the prediction results of the photovoltaic cell power output. This error is ultimately reflected in the design of the control strategy related to the photovoltaic cell system and will also affect the control strategy. Verification of validity and reasonableness

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