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Abstract
The article presents the results of the calculation of the thermal parameters of the solar battery of the pilot plant, performed using the ANSYS program. To analyze the influence of various parameters on the efficiency of the solar battery, when setting data in the preprocessor, such parameters as density, thermal conductivity coefficients, and element sizes were varied. Environmental factors were also analyzed, namely, ambient temperature and heat flow. For the developed installation, the choice of training a neural network without a teacher is justified. The results of calculations are presented in the form of graphs and tables, as well as illustrations of the fields of temperature distribution and heat flow.
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Details
1 South Ural State University , 76, Lenina Ave., Chelyabinsk, 454080 , Russia
2 Moscow Polytechnic University , 38, Bolshaya Semyonovskaya str., Moscow, 107023 , Russia