Skip to main content
. 2023 Feb 27;123(5):2436–2608. doi: 10.1021/acs.chemrev.2c00799

Table 31. Pyrometallurgical Methods and Process-Specific Sustainability Challenges.

Energy and reductant supply: Less use of fossil-based heating and fossil reductants since they are the main cause of the massive greenhouse gas emissions in the metallurgical sector; transition to carbon-free reductants; efficiency improvement
Feedstock types: Improved methods for the use of scrap instead of/mixed with ores as feedstock; fluidized bed reactor with power oxides instead of sintered pellets; use of low-purity feedstock types
By-products: Less production of dust, fume and off-gas: less use of sulfuric acid, arsenic fumes, NOx, dioxin, CO2
Hazardous by-products: Several purification processes create by-products containing arsenic, cadmium, mercury, lead and zinc; loss of valuable resources; one method’s waste is another method’s feedstock
Non-fossil reductants: Changes in free energy balance upon change in chemical composition of reactants; competition in reaction for use of mixed reductants (e.g., use of methane and hydrogen)
Mineral feedstock: Energy balance for low-grade, chemically less pure mineral feedstock (example: reduction of banded Fe-Si-oxides); transport coefficients as a function of chemical composition of reactants; mobility of reactants in high-component oxides and sulfides; nucleation mechanisms in phase transformations under redox conditions; transport vs nucleation limitation
Thermodynamics of slag: Equilibrium relations between melt and slag
Elemental partitioning coefficients: Partitioning between melt, slag and reductant atmosphere, i.e. which elements partition into slag, vapor and melt
Modeling: Scale bridging modeling of direct reduction (shaft reactor and fluid bed reactor) and plasma-based reduction; multiphysics models that account not only for the chemical reactions but also for mechanics, transport limitations and defects
Kinetics: Diffusion mechanisms during oxidation and reduction
Impurities: Influence of gangue-, scrap-, reductant- or process-related tramp elements on kinetics
Artificial intelligence: Machine learning and text mining in pyrometallurgy method development