MEROS Dust Quality of Different Plants and Its Potential Further Uses

Hledik, Claudia; Goetz, Martin; Ottner, Franz; Fürhacker, Maria

doi:10.3390/met11050840

Cited by 3 publications

(1 citation statement)

References 11 publications

(29 reference statements)

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“…Sintering is a very complex process requiring the control and optimization of about 500 parameters to ensure high sintering quality. Reasonably adjusting the amount of raw materials such as iron, coke, and anthracite can reduce costs and pollution emissions [1][2][3]. At present, the enterprise ore blending requires that the error of the main elements be within 0.01, and the error of the rare elements be within 0.001, so as to ensure that the slag can meet the production requirements.…”

Section: Introductionmentioning

confidence: 99%

Research on Multi-Decision Sinter Composition Optimization Based on OLS Algorithm

Feng

Wang²,

Zhou³

et al. 2023

Metals

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The adjustment of sintering raw materials has a decisive influence on the composition of blast furnace slag and the properties of sinter. In order to smelt high-quality molten iron in the blast furnace, the composition of the sinter must be properly adjusted so that the composition of the blast furnace slag and the metallurgical properties of the sinter are optimal for the quality of the iron and are conducive to the smooth operation of the blast furnace. In view of the huge difference in the quality and price of sintering raw materials, this paper proposes an automatic sintering ore blending model to quickly configure sintering raw materials according to the requirements of the production line. This method is based on the calculation process of blast furnace charge, combined with the constraints of process composition and cost performance, to establish a multi-decision sintering ore blending model based on the OLS(Ordinary least squares) algorithm to automatically screen from available raw materials and give the sinter that meets the requirements of the furnace. The plan finally makes TFe, CaO, MgO, SiO2, TiO2, Al2O3, P, Mn, Na2O, K2O, Zn, and other components meet the requirements of the production line, and meet the cost performance requirements of the enterprise for sinter. The model can complete the screening and proportioning of 43 kinds of raw materials within 10 s, and its performance can meet the requirements of the production of variable materials. Combined with an example, a comparative analysis experiment is carried out on the accuracy and practicability of the designed sintering and ore blending model. The experimental results show that the accuracy and efficiency of the method proposed in this paper are higher than those of the current ore blending scheme designed by enterprise engineers. This method can provide an effective reference for the stable operation of the sintering production line.

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Section: Introductionmentioning

confidence: 99%

Research on Multi-Decision Sinter Composition Optimization Based on OLS Algorithm

Feng

Wang²,

Zhou³

et al. 2023

Metals

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Sustainable Steel Industry: Energy and Resource Efficiency, Low-Emissions and Carbon-Lean Production

Colla¹,

Branca²

2021

Metals

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Mercury Concentrations in Dust from Dry Gas Cleaning of Sinter Plant and Technical Removal Options

Hledik,

Zeng,

Plattner

et al. 2024

Water

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Mercury (Hg) is a naturally occurring element and has been released through human activities over an extended period. The major source is the steel industry, especially sinter plants. During a sintering process, high amounts of dust and gaseous emission are produced. These gases contain high loads of SOx and NOX as well as toxic pollutants, such as heavy metals like Hg. These toxic pollutants are removed by adsorbing to solids, collected as by-products and deposited as hazardous waste. The by-products contain a high amount of salt, resulting in a high water solubility. In this study, to ultimately reduce the waste amount in landfills, leachates of the by-products have been produced. The dissolved Hg concentration and its distribution across different charges were determined. Hg concentrations between 3793 and 12,566 µg L−1 were measured in the leachates. The objective was to lower the Hg concentration in leachates by chemical precipitation with sodium sulfide (Na2S) or an organic sulfide followed by filtration. Both reagents precipitate Hg with removal rates of up to 99.6% for the organic sulfide and 99.9% for Na2S, respectively. The dose of the precipitator as well as the initial Hg concentration affected the removal rate. In addition to Hg, other relevant heavy metals have to be included in the calculation of the amount of precipitator as well. Between relevant heavy metals including Hg and sulfide, the ratio should be more than 1.5. The novelty of this study is the measurement and treatment of Hg in wastewater with a high ionic strength. The high salt concentrations did not influence the efficiency of the removal methods. An adjustment of the precipitator dose for each sample is necessary, because an overdose potentially leads to the re-dissolving of Hg. It could be shown that the emission limit of 0.005 mg L−1 could be reached especially by precipitation with Na2S.

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MEROS Dust Quality of Different Plants and Its Potential Further Uses

Cited by 3 publications

References 11 publications

Research on Multi-Decision Sinter Composition Optimization Based on OLS Algorithm

Research on Multi-Decision Sinter Composition Optimization Based on OLS Algorithm

Sustainable Steel Industry: Energy and Resource Efficiency, Low-Emissions and Carbon-Lean Production

Mercury Concentrations in Dust from Dry Gas Cleaning of Sinter Plant and Technical Removal Options

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