Numerical study on the influence of center gas supply device on gas-solid residence time distribution in COREX shaft furnace

Zhou, Heng; Xu, Kun; Hu, Yifan; Wu, Shengli; Kou, Mingyin; Luo, Yiwa

doi:10.1080/02726351.2021.1871793

Cited by 6 publications

(8 citation statements)

References 32 publications

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“…Including a central gas supply device (CGSD) at the center of the furnace bottom, as shown in Figure , was a direct method for improving the velocity of the reducing gas at the furnace center. When the diameter ratio of CGSD top and furnace bottom was 0.2, the addition of CGSD extended the gas average residence time by 2.7% . This type of alteration is beneficial for reduction enhancement.…”

Section: Model Applicationsmentioning

confidence: 92%

“…In DEM, the motion of each particle is described by Newton’s second law, and particle–particle interactions are modeled using the method proposed by Cundall and Strack . The DEM has numerous applications in modeling the structure and stress distribution of particle packing or descent. ,,, The CFD-DEM can account for the drag force on each particle in furnaces, rendering it suitable for investigating particle descent and flow patterns. − However, these methods are computationally expensive. Given that there are a large number of particles in furnaces, the computational amount is reduced by introducing simplifications, such as decreasing the size of the computational zones, scaling up the particle size, or using parcels to replace the large number of particles. − , Since the particle descending velocity can be assumed as constant in SFs, these methods may not be advantageous in modeling large-scale bed behaviors in SFs.…”

Section: Physical Modelingmentioning

confidence: 99%

“…However, the region where particle velocity approaches zero increased (see Figure 13), occupying 1.28%, and aggregates may form in this region. 67 As the diameter ratio of CGSD to furnace bottom increased from 0.3 to 0.5, the particle stagnant region nearly doubled, indicating a higher probability of aggregate generation. 65 Accelerating particle discharging velocity minimized the area of particle stagnant region.…”

Section: Cold-model Application Without Iron Ore Reductionmentioning

confidence: 99%

“…This type of alteration is beneficial for reduction enhancement. However, the region where particle velocity approaches zero increased (see Figure ), occupying 1.28%, and aggregates may form in this region . As the diameter ratio of CGSD to furnace bottom increased from 0.3 to 0.5, the particle stagnant region nearly doubled, indicating a higher probability of aggregate generation .…”

Section: Model Applicationsmentioning

confidence: 99%

“…Given that there are a large number of particles in furnaces, the computational amount is reduced by introducing simplifications, such as decreasing the size of the computational zones, scaling up the particle size, or using parcels to replace the large number of particles. [64][65][66][67][68][69]84 Since the particle descending velocity can be assumed as constant in SFs, these methods may not be advantageous in modeling large-scale bed behaviors in SFs.…”

Section: Multiphase Flow Modelsmentioning

confidence: 99%

See 4 more Smart Citations

A Review on the Modeling and Simulation of Shaft Furnace Hydrogen Metallurgy: A Chemical Engineering Perspective

Fei,

Guan,

Kuang

et al. 2023

ACS Eng. Au

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Hydrogen-based shaft furnace technology holds promise for low-carbon hydrogen metallurgy. Since hydrogen-assisted iron ore reduction is highly endothermic, inadequate heat supply relevant to the contact of gas and densely packed ores may reduce the rate and efficiency of reductions. The key to addressing this issue lies in understanding the competition among heat supply, heat transfer, and heat loss driven by the gas flow around ores and reactions within them. Modeling and simulation are crucial for revealing the underlying mechanisms and promoting process scale-up and intensification. This review summarizes previous efforts in physical modeling and model applications for improving the reduction performance. The discrete element method (DEM) and computational fluid dynamics (CFD)− DEM models have been used for particle-scale simulation to investigate inhomogeneous particle descent and relevant particle−particle interactions. For macroscale simulations, steady-state simplified models such as plug flow and REDUCTOR, as well as the Eulerian two-phase model, have been developed by considering heat and mass transfer. Based on these model applications, strategies including the optimization of operating conditions and gasfeeding methods have been proposed to improve the furnace performance. Further numerical efforts are needed to analyze the infurnace heat evolution and reduction and reveal the competitiveness of flow, transport, and reaction by incorporating multiscale physics in shaft furnaces. Additionally, attention could be paid to the effects of particle sticking and degradation on reduction, which may be more serious when the proportion of lump ores increases. When evaluating relative optimization strategies, comprehensive comparisons are expected in terms of iron ore reduction degree, gas utilization rate, energy consumption, and economic feasibility under various reducing and cooling gas operating conditions and furnace profiles to offer practical guidelines for industrial design and intensification.

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Section: Model Applicationsmentioning

confidence: 92%

Section: Physical Modelingmentioning

confidence: 99%

Section: Cold-model Application Without Iron Ore Reductionmentioning

confidence: 99%

Section: Model Applicationsmentioning

confidence: 99%

Section: Multiphase Flow Modelsmentioning

confidence: 99%

See 3 more Smart Citations

A Review on the Modeling and Simulation of Shaft Furnace Hydrogen Metallurgy: A Chemical Engineering Perspective

Fei,

Guan,

Kuang

et al. 2023

ACS Eng. Au

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The Low‐Carbon Production of Iron and Steel Industry Transition Process in China

Pang,

Bu,

Yuan

et al. 2023

steel research int.

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Severe greenhouse gas emissions have made global warming one of humanity's most critical and intricate environmental challenges. As the world's largest producer and exporter of steel, China's steel industry contributes substantially to carbon emissions. The government formulated the policies and pathways to achieve carbon neutrality, and enterprises have proactively pursued low‐carbon technologies. In this review, the decarbonization process in the Chinese steel industry is classified into three stages according to the decarbonization amount and technological maturity: the improvements of the blast furnace‐basic oxygen furnace, the attempt of the nonblast furnace, and the preparatory electricity‐hydrogen coupling metallurgy. This article reviewed the industrial‐scale low‐carbon metallurgical technologies represented by the Baowu HyCORF process, bottom‐blowing O2‐CO2‐pulverized lime converter process, gas‐based direct reduction shaft furnace process, Molong HIsmelt process, and Ouye furnace process, as well as pointed out the development limitations of those processes. Additionally, the study presented prospects for zero‐carbon emission technologies coupling green energy generation and hydrogen metallurgy. These findings will offer substantial support for advancing research and development of low‐carbon metallurgical technologies and formulating relevant policies in the future.

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Simulation of gas–solid flow characteristics of the circulating fluidized bed boiler under pure-oxygen combustion conditions

Gao,

Ke,

et al. 2024

Chinese Journal of Chemical Engineering

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Numerical study on the influence of center gas supply device on gas-solid residence time distribution in COREX shaft furnace

Cited by 6 publications

References 32 publications

A Review on the Modeling and Simulation of Shaft Furnace Hydrogen Metallurgy: A Chemical Engineering Perspective

A Review on the Modeling and Simulation of Shaft Furnace Hydrogen Metallurgy: A Chemical Engineering Perspective

The Low‐Carbon Production of Iron and Steel Industry Transition Process in China

Simulation of gas–solid flow characteristics of the circulating fluidized bed boiler under pure-oxygen combustion conditions

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