Tehnički vjesnik, Vol. 32 No. 1, 2025.
Izvorni znanstveni članak
https://doi.org/10.17559/TV-20240508001529
Optimization of Energy Saving and Consumption Reduction of Polysilicon Siemens Method Based on Improved K-means Algorithm
Xufeng Luo
; College of New Energy Materials and Chemistry, Leshan Normal University, Leshan 614000, Sichuan, China; Leshan West Silicon Materials Photovoltaic New Energy Industry Technology Research Institute, Leshan 614000, Sichuan, China
*
Lanxiang Huang
; College of New Energy Materials and Chemistry, Leshan Normal University, Leshan 614000, Sichuan, China; Leshan West Silicon Materials Photovoltaic New Energy Industry Technology Research Institute, Leshan 614000, Sichuan, China
Yaohui Xu
; College of New Energy Materials and Chemistry, Leshan Normal University, Leshan 614000, Sichuan, China; Leshan West Silicon Materials Photovoltaic New Energy Industry Technology Research Institute, Leshan 614000, Sichuan, China
Qin Wang
; College of New Energy Materials and Chemistry, Leshan Normal University, Leshan 614000, Sichuan, China
* Dopisni autor.
Sažetak
The core technology of polysilicon production by improved Siemens method is still controlled and monopolized by developed countries. Firstly, it is proposed to improve the algorithm instability caused by the random determination of clustering center of K-means algorithm. The initial clustering center is determined by the method of distance to improve the performance of the algorithm, and it is applied to the energy saving and consumption reduction of polysilicon Siemens method. It can be graded from the quality point of view to ensure the quality of supply. Secondly, the convective heat transfer model in Siemens reactor was established, and the total energy consumption of laboratory-scale Siemens reactor predicted by K-means model was compared with the experimental data in the public literature. The relative errors were all within 1%, indicating that the convective heat transfer model established was effective. At the same time, by adding dichlorodihydrosilane to the feed of the traditional process, it is obtained that at 100 kPa, when the molar ratio of dichlorodisilane, trichlorosilane and hydrogen is 1:1:5, the polysilicon yield is increased by 9.6%, the silicon tetrachlorosilane yield is reduced by 8.7%, and the energy consumption is reduced by 35% compared with the traditional process. Finally, combined with the production practice and other factors unchanged, the ratio of mixture flow rate to silicon rod power is taken as the research object, and the furnace times with different feed and power ratio are compared, and the operation results are analyzed and summarized.
Ključne riječi
energy saving and consumption reduction; improved K-means algorithm; polysilicon; Siemens method
Hrčak ID:
325856
URI
Datum izdavanja:
31.12.2024.
Posjeta: 8 *