高效分选废旧光伏电池板中铜与硅

  • 赵新美 ,
  • 张子生 ,
  • 赖伟东 ,
  • 陈晓玉 ,
  • 吴翠姑 ,
  • 董国义
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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

收稿日期: 2019-11-20

  网络出版日期: 2020-07-25

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 Xinmei ,
  • ZHANG Zisheng ,
  • LAI Weidong ,
  • CHEN Xiaoyu ,
  • WU Cuigu ,
  • DONG Guoyi
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  • 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 date: 2019-11-20

  Online 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.

本文引用格式

赵新美 , 张子生 , 赖伟东 , 陈晓玉 , 吴翠姑 , 董国义 . 高效分选废旧光伏电池板中铜与硅[J]. 河北大学学报(自然科学版), 2020 , 40(4) : 365 -371 . DOI: 10.3969/j.issn.1000-1565.2020.04.005

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.

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