多晶硅生产还原系统用电优化研究
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作者单位:

洛阳中硅高科技有限公司, 河南 洛阳 471000

作者简介:

芮国保(1983—),男,江苏溧阳人,工程硕士,工程师,主要从事多晶硅生产管理工作。

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中图分类号:

TQ127.2

基金项目:


Research on Electricity Optimization of Reduction Furnace in Polysilicon Production
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Affiliation:

China Silicon Corporation Ltd., Luoyang 471000 , China

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    摘要:

    多晶硅生产是连续性生产,用电负荷相对稳定,在峰谷平分时电价模式下,用电费用较高。本文以河南某多晶硅生产企业为例,结合河南省全年三个时期的分时电价政策,分析多晶硅生产重点用电工序还原炉的特性,并建立多晶硅还原炉用电优化模型,探索削峰填谷的用电方式。根据用电优化模型,通过生产组织优化,调整还原炉的投运时间点,多晶硅企业若在每日19时投运还原炉,每个运行周期电费支出可以减少12000元左右,还原炉用电成本降低约4%,降成本效果明显。

    Abstract:

    The production of polycrystalline silicon is a continuous production, and the electricity load is relatively stable. Under the peak-valley-flat electricity price mode, the electricity cost is higher. Taking a polysilicon production enterprise in Henan Province as an example, this paper combined the time-of-use electricity price policy of Henan Province in three periods of the year, analyzed the characteristics of the reduction furnace of the key power consumption process of polysilicon production, and established the power consumption optimization model of polysilicon reduction furnace to explore the power consumption mode of peak shaving and valley filling. According to the electricity optimization model, through the optimization of production organization, the operation time of the reduction furnace is adjusted. If the the reduction furnace runs at 19:00 every day, the electricity cost of each operation cycle can be reduced by about 12000 yuan, which can reduce the electricity cost of the reduction furnace by about 4%, and the cost reduction effect is obvious.

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芮国保,郑高旺,陈晓玉.多晶硅生产还原系统用电优化研究[J].绿色矿冶,2024,40(6):78-82.

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  • 收稿日期:2024-07-17
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  • 在线发布日期: 2025-11-16
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