Optimization scheme of thermal emitter based on thermal photovoltaic technology

In order to ensure the normal operation of the detector, it is very necessary to study the thermal transmitter based on thermal photovoltaic technology, which can not only reduce the energy consumption on the detector, but also provide a steady stream of power for the detector. The following is to study the material composition of the heat emitter. When optimizing the emission spectrum and material characteristics, the thermoelectric conversion efficiency of the heat emitter reaches the maximum.

       In question 1, the refractive index and extinction coefficient of W at different wavelengths are known. The scatter diagram of W wavelength about refractive index and extinction coefficient is drawn through MATLAB software to judge its linear relationship. Then, by constructing a multiple regression model, the wavelength is fitted with the refractive index and thickness of the material, and the corresponding coefficient is calculated; Substituting the data of annex W into the above formula, the emission spectrum of 50 nm thick W in the range of 0.3 ~ 5 microns is obtained.

       In question 2, based on problem 1, the functional relationship of material W has been obtained. Similarly, according to the data Si given in the annex, draw the scatter diagram of Si wavelength with respect to refractive index and extinction coefficient by using MATLAB software, judge its linear relationship, establish a multiple regression model, calculate the coefficients of wavelength and material refractive index and material thickness, further fit the formulas of W and Si materials, and calculate the refractive function under the mixing of multi-layer materials, The emission spectra of 50 nm thick composites in the range of 0.3 ~ 5 microns were obtained.

       In question 3, it is necessary to select reasonable materials according to the characteristics of materials. Here, the entropy weight method is introduced to calculate the weight of all materials and sort them. The first three materials are selected as the raw materials of heat emitters. In question 2, the relationship between the emission spectrum of the multilayer structure and the material thickness is known, and the thermal radiator has sharp and high thermal emission at 1.5 microns. The emission spectrum of the 50 nm thick composite in the range of 0.3 ~ 5 microns is calculated.

       In question 4, the ranking is obtained according to the entropy weight method of problem 3, and the materials are selected according to the requirements of thermal potential, conductivity and thermal conductivity. Here, the particle swarm optimization algorithm is introduced to optimize the thickness of multilayer materials. At the same time, the emission spectrum is drawn on the basis of problem 2 and 3, and the optimization function of thermoelectric conversion efficiency is established.
 

Key words: multiple regression model, transfer matrix method, entropy weight method, particle swarm optimization

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