Abstract

In this paper, the photo-thermal power generation model is obtained by studying the operation process of solar radiation , light and thermal power generation equipment. By solving the gray model parameters by particle swarm optimization, a prediction model of light and heat generation based on G (1,1) optimization is proposed. In the case of example analysis, the amount of electricity generated by the solar radiation in the past few years was based on the photo-thermal power generation model, and the light and thermal power generation prediction model is used to obtain the photo-thermal power generation in the next few years. Photo-thermal power generation will provide data support for the planning of photo-thermal power generation, and it will also verify the reasonableness of the prediction model.

Highlights

  • Light and thermal power generation, combined with heat storage system or thermal power generation, can achieve continuous and stable power generation with adjustable, easy to grid, and less environmental impact throughout the life cycle

  • The rapid development of light and heat generation, especially the United States and Spain, which are rich in solar energy, are among the best in the world, both technically and commercially

  • The gray model parameters are solved by particle swarm optimization (PSO), and a prediction model based on G(1,1) optimization is proposed

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Summary

Introduction

Light and thermal power generation, combined with heat storage system or thermal power generation, can achieve continuous and stable power generation with adjustable, easy to grid, and less environmental impact throughout the life cycle. When the collector receives the solar radiation, the collector itself is affected by its own quality and structure, and it will cause some optical loss, which leads to the decrease of the efficiency of the self gathering heat of the solar thermal power generation system. The optical efficiency depends on the properties of the material itself, including the dust free soil in the mirror, the finish of the mirror, the permeation rate of the glass tube and the absorption rate of the heat pipe coating, which can be characterized as follows: Eopt z * x *c *v1 *v2 * k (3) In this formula, z is the coating absorption of the collector tube; x is the reflectivity of the collector mirror;. If the steam production and the efficiency of the turbogenerator are Et , the generating power is: Pel Q co * E te (13)

The gray prediction model of photothermal power generation
Example analysis
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