河北大学学报(自然科学版) ›› 2020, Vol. 40 ›› Issue (4): 365-371.DOI: 10.3969/j.issn.1000-1565.2020.04.005

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高效分选废旧光伏电池板中铜与硅

赵新美1,张子生1,赖伟东1,陈晓玉1,吴翠姑2,董国义1   

  • 收稿日期:2019-11-20 出版日期:2020-07-25 发布日期:2020-07-25
  • 通讯作者: 张子生(1964—),男,河北定兴人,河北大学研究员,主要从事固废处理与高电压技术等方面研究.E-mail:zhangzisheng@hbu.edu.cn
  • 作者简介:赵新美(1996—),女,河北唐山人,河北大学在读硕士研究生,主要从事固体废弃物回收处理方向研究. E-mail:zhaoxinmei301@163.com
  • 基金资助:
    国家重点研发计划项目(2018YFB1500601);国家自然科学基金资助项目(5177051;51607054);河北省杰出青年基金资助项目(A2018201019);河北省自然科学基金资助项目(A2016201025)

Efficient separation of copper and silicon from waste photovoltaic panels

ZHAO Xinmei1, ZHANG Zisheng1, LAI Weidong1, CHEN Xiaoyu1, WU Cuigu2, DONG Guoyi1   

  1. 1. National Joint Engineering Laboratory of New Energy Optoelectronic Devices, College of Physics Science and Technology, Hebei University, Baoding 071002, China; 2. Yingli Energy(China)Company Limited, Baoding 071002, China
  • Received:2019-11-20 Online:2020-07-25 Published:2020-07-25

摘要: 为了提高废旧光伏电池板中铜(Cu)与硅(Si)的分选效率,寻求高压静电分选的最佳效率因素.通过单因素影响实验,探究了电压(U)、转辊转速(n)、电晕电极间距(S)和电晕电极角度(θ)对Cu与Si分选效率的影响;利用Minitab软件进行全因子实验设计,筛选并确定了影响因素中对Cu和Si的分选效率有显著影响的主效应和交互作用,并通过响应优化对Cu的分选效率进行了优化,得到Cu的最佳参数为U=20 kV、n=65 r/min、S=90 mm、θ=-10°.在最佳参数条件下,进行了验证实验,Cu分选效率达到了97.91%,得到了良好的优化效果.

关键词: 废旧光伏电池板, 高压静电分选, Cu分选效率, 全因子设计

Abstract: In order to improve the separation efficiency of copper(Cu)and silicon(Si)in waste photovoltaic panels, the optimal efficiency factors for high-voltage electrostatic separation were explored. Using the single factor impact experiment, the separation efficiency of Cu and Si under the four factors of voltage(U), speed(n), electrode spacing(S)and corona electrode angle(θ)were discussed. And Minitab software was used to screen all-factor experimental design and establish the main effect and interaction of the influencing factors on the separation efficiency of Cu and Si. The separation efficiency of Cu was optimized by response optimization. The optimal separation efficiency of Cu was set to U=20 kV, n=65 r/min, S=90 mm, θ=-10°. Under the optimal settings, verification experiments were carried out. The average separation efficiency of Cu reached 97.91%. The optimization results were obtained.

Key words: waste photovoltaic panels, high voltage electrostatic separation, separation efficiency of Cu, all-factor experimental design

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