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Title: Optimization of the Electrochemical Extraction and Recovery of Metals from Electronic Waste Using Response Surface Methodology

The rapid growth of the electronic waste can be viewed both as an environmental threat and as an attractive source of minerals that can reduce the mining of natural resources, and stabilize the market of critical materials, such as rare earths. Here in this article surface response methodology was used to optimize a previously developed electrochemical recovery process for base metals from electronic waste using a mild oxidant (Fe 3+). Through this process an effective extraction of base metals can be achieved enriching the concentration of precious metals and significantly reducing environmental impacts and operational costs associated with the waste generation and chemical consumption. The optimization was performed using a bench-scale system specifically designed for this process. Operational parameters such as flow rate, applied current density and iron concentration were optimized to reduce the specific energy consumption of the electrochemical recovery process to 1.94 kWh per kg of metal recovered at a processing rate of 3.3 g of electronic waste per hour.
Authors:
ORCiD logo [1] ;  [1] ;  [1]
  1. Idaho National Lab. (INL), Idaho Falls, ID (United States). Biological and Chemical Processing Dept.
Publication Date:
Report Number(s):
INL/JOU-16-37878
Journal ID: ISSN 0888-5885; TRN: US1702983
Grant/Contract Number:
AC07-05ID14517
Type:
Accepted Manuscript
Journal Name:
Industrial and Engineering Chemistry Research
Additional Journal Information:
Journal Volume: 56; Journal Issue: 26; Journal ID: ISSN 0888-5885
Publisher:
American Chemical Society (ACS)
Research Org:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Electrochemical recovery; Electronic waste; Metal recycling
OSTI Identifier:
1400265

Diaz, Luis A., Clark, Gemma G., and Lister, Tedd E.. Optimization of the Electrochemical Extraction and Recovery of Metals from Electronic Waste Using Response Surface Methodology. United States: N. p., Web. doi:10.1021/acs.iecr.7b01009.
Diaz, Luis A., Clark, Gemma G., & Lister, Tedd E.. Optimization of the Electrochemical Extraction and Recovery of Metals from Electronic Waste Using Response Surface Methodology. United States. doi:10.1021/acs.iecr.7b01009.
Diaz, Luis A., Clark, Gemma G., and Lister, Tedd E.. 2017. "Optimization of the Electrochemical Extraction and Recovery of Metals from Electronic Waste Using Response Surface Methodology". United States. doi:10.1021/acs.iecr.7b01009. https://www.osti.gov/servlets/purl/1400265.
@article{osti_1400265,
title = {Optimization of the Electrochemical Extraction and Recovery of Metals from Electronic Waste Using Response Surface Methodology},
author = {Diaz, Luis A. and Clark, Gemma G. and Lister, Tedd E.},
abstractNote = {The rapid growth of the electronic waste can be viewed both as an environmental threat and as an attractive source of minerals that can reduce the mining of natural resources, and stabilize the market of critical materials, such as rare earths. Here in this article surface response methodology was used to optimize a previously developed electrochemical recovery process for base metals from electronic waste using a mild oxidant (Fe3+). Through this process an effective extraction of base metals can be achieved enriching the concentration of precious metals and significantly reducing environmental impacts and operational costs associated with the waste generation and chemical consumption. The optimization was performed using a bench-scale system specifically designed for this process. Operational parameters such as flow rate, applied current density and iron concentration were optimized to reduce the specific energy consumption of the electrochemical recovery process to 1.94 kWh per kg of metal recovered at a processing rate of 3.3 g of electronic waste per hour.},
doi = {10.1021/acs.iecr.7b01009},
journal = {Industrial and Engineering Chemistry Research},
number = 26,
volume = 56,
place = {United States},
year = {2017},
month = {6}
}