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Assessing aspects of solution-based chemical synthesis to convert waste Si solar cells into nanostructured aluminosilicate crystals
Division of Building Materials, Lund University, John Ericssons väg 1, Lund, Sweden.ORCID iD: 0000-0003-3283-9313
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-3449-1579
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Geosciences and Environmental Engineering.ORCID iD: 0000-0003-3593-3786
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2024 (English)In: CrystEngComm, E-ISSN 1466-8033, Vol. 26, no 17, p. 2233-2240Article in journal (Refereed) Published
Abstract [en]

The end-of-life recycling of crystalline silicon photovoltaic (PV) modules and the utilisation of waste is of fundamental importance to future circular-economy societies. In the present work, the wet-chemistry synthesis route – a low-temperature dissolution–precipitation process – was explored to produce aluminosilicate minerals from waste c-Si solar cells. Nanostructured crystals were produced in an alkaline medium by increasing the reaction temperature from room temperature to 75 °C. The morphology of the produced crystals varied from nanolayered aggregates to rod-shaped crystals and was found to be dependent on the temperature of the reaction medium. Chemical and phase composition studies revealed that the synthesised compounds consisted of structurally different phases of aluminosilicate minerals. The purity and elemental composition of produced crystals were evaluated by energy dispersive spectroscopy (EDS) and micro X-ray fluorescence (μXRF) analysis, confirming the presence of Al, O, and Si elements. These results give new insights into the processing of aluminosilicate minerals with sustainable attributes and provide a possible route to reducing waste and strengthening the circular economy.

Place, publisher, year, edition, pages
Royal Society of Chemistry, 2024. Vol. 26, no 17, p. 2233-2240
Keywords [en]
CT scan, Full-field data, Image processing, Moisture simulation, Mould estimation, Multivariate modelling
National Category
Materials Chemistry
Research subject
Wood Science and Engineering; Electric Power Engineering; Ore Geology
Identifiers
URN: urn:nbn:se:ltu:diva-105217DOI: 10.1039/d4ce00038bISI: 001199785500001Scopus ID: 2-s2.0-85190326197OAI: oai:DiVA.org:ltu-105217DiVA, id: diva2:1853739
Note

Validerad;2024;Nivå 2;2024-05-31 (signyg);

Funder: Rönnbäret Foundation, Skellefteå Municipality, Sweden (2022-2023)

Fulltext license: CC BY

Available from: 2024-04-23 Created: 2024-04-23 Last updated: 2024-08-15Bibliographically approved

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Garskaite, EditaBollen, MathMulenga, EnockWarlo, MathisBark, GlennBuck, DietrichSandberg, Dick

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