Evaluation of solar thermal pretreatment of carbonate-rich manganese ores in high-carbon ferromanganese production through dynamic process modelling

The necessity of reducing greenhouse gas emissions to limit the impact of anthropogenic climate change means that all industrial processes should investigate their options towards decarbonization. Iron, steelmaking, aluminium, and cement production produce the most industrial emissions. Although most research focuses on decarbonizing these industries, minerals processing industries must be decarbonized to achieve net zero emissions goals by 2050. Incorporating renewable energy sources and avoiding the combustion of fossil fuels are two ways to reduce greenhouse gas emissions. This paper reports on the results from a dynamic process model developed to investigate the feasibility of concentrating solar thermal pretreatment of manganese ores to pretreat carbonate-rich manganese ores for increased ferromanganese smelter productivity and reduced greenhouse gas emissions. The results indicate that pretreated ores reduce the energy requirement for smelting significantly for some ores and lowers total carbon dioxide emissions by 13 to 19% compared to the traditional smelting route. A high-level economic evaluation shows that solar thermal treatment is financially viable for low cryptomelane, high braunite ore that is common in the Kalahari Manganese Field.

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Publication Details

Journal
Journal of the Southern African Institute of Mining and Metallurgy
Published
2024-12-31
DOI
https://doi.org/10.17159/2411-9717/3296/2024
Citations
1
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
0.21

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article

Evaluation of solar thermal pretreatment of carbonate-rich manganese ores in high-carbon ferromanganese production through dynamic process modelling

Craig McGregor, Lina Hockaday, Frank Dinter, Quinn Gareth Reynolds
1 citations
Journal of the Southern African Institute of Mining and Metallurgy
Extraction and Separation Processes
0.21
article

Evaluation of solar thermal pretreatment of carbonate-rich manganese ores in high-carbon ferromanganese production through dynamic process modelling

Craig McGregor, Lina Hockaday, Frank Dinter, Quinn Gareth Reynolds
article en
1 citations

Abstract

The necessity of reducing greenhouse gas emissions to limit the impact of anthropogenic climate change means that all industrial processes should investigate their options towards decarbonization. Iron, steelmaking, aluminium, and cement production produce the most industrial emissions. Although most research focuses on decarbonizing these industries, minerals processing industries must be decarbonized to achieve net zero emissions goals by 2050. Incorporating renewable energy sources and avoiding the combustion of fossil fuels are two ways to reduce greenhouse gas emissions. This paper reports on the results from a dynamic process model developed to investigate the feasibility of concentrating solar thermal pretreatment of manganese ores to pretreat carbonate-rich manganese ores for increased ferromanganese smelter productivity and reduced greenhouse gas emissions. The results indicate that pretreated ores reduce the energy requirement for smelting significantly for some ores and lowers total carbon dioxide emissions by 13 to 19% compared to the traditional smelting route. A high-level economic evaluation shows that solar thermal treatment is financially viable for low cryptomelane, high braunite ore that is common in the Kalahari Manganese Field.

Journal of the Southern African Institute of Mining and MetallurgyVol. 124(12)
Mintek (ZA), Curtin University (AU), Stellenbosch University (ZA)
Mintek
Affordable and clean energy
Openalex Percentile: Top 48%
Extraction and Separation Processes
0.21
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Evaluation of solar thermal pretreatment of carbonate-rich manganese ores in high-carbon ferromanganese production through dynamic process modelling — Craig McGregor, Lina Hockaday, et al. · Journal of the Southern African Institute of Mining and Metallurgy (2024) | TGRS Research Map | TGRS