Abstract
Rare earth elements (REEs) are indispensable in modern technologies, but their supply chain faces challenges due to limited geographical availability and political difficulties. Recycling REEs from industrial waste provides a sustainable alternative to mining, promoting a circular economy and reducing environmental impacts. The mainstay approaches for REE recovery, hydrometallurgical and pyrometallurgical methods, can be inefficient, consuming high energy and generating large aqueous and acid waste streams. Here, we introduce flash Joule heating (FJH) combined with chlorination (FJH-Cl2) as an efficient method for REE separation and recovery by capitalizing on the free energies of formation (DGform) of the metal chlorides and the boiling points of those metal chlorides. FJH-Cl2 enables high-purity (>90%) and high-yield (>90%) REE recovery from waste magnets in a single step. Life cycle assessment (LCA) and techno-economic analysis (TEA) show that this process reduces the number of steps by 3x while reducing energy consumption by 87%, greenhouse gas (GHG) emissions by 84%, and operating costs by 54% while eliminating water and acid use by 100% compared to traditional methods. This offers an environmentally friendly and economically viable pathway for sustainable REE recycling and recovery.
Supplementary materials
Title
Supporting Information for Sustainable Separation of Rare Earth Elements from Wastes
Description
This PDF file includes:
Supporting text 1-3
Figures S1 to S31
Tables S1 and Datasets S1-S6
SI References
Actions
Title
Dataset 1
Description
Dataset S1 is an Excel document showing detailed data of thermodynamic results.
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Title
Dataset 4
Description
Datasets S4 and S5 are Excel documents showing the LCA data for the remote mining (transportation) impact for the hydrometallurgical process when transporting material from Ghana and China, respectively.
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Title
Dataset 2
Description
Datasets S2 and S3 are Excel documents showing the LCA data for the FJH-Cl2 and hydrometallurgical processes, respectively.
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Title
Dataset 3
Description
Datasets S2 and S3 are Excel documents showing the LCA data for the FJH-Cl2 and hydrometallurgical processes, respectively.
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Title
Dataset 5
Description
Datasets S4 and S5 are Excel documents showing the LCA data for the remote mining (transportation) impact for the hydrometallurgical process when transporting material from Ghana and China, respectively.
Actions
Title
Dataset 6
Description
Dataset S6 is an Excel document showing the TEA data.
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