ORALS

SESSION: IronThuPM1-R8	Usui International Symposium on Advanced Sustainable Iron and Steel Making (7th Intl. Symp. on Advanced Sustainable Iron and Steel Making)
Thu Oct, 24 2019 / Room: Ambrosia B (77/RF)
Session Chairs: Jose Adilson de Castro; Basant Kumar Singh; Session Monitor: TBA

14:00: [IronThuPM105] Keynote
Hydrogen Shaft Furnace Process Using Bio-Self-Reducing Agglomerates
Jose Adilson De Castro¹ ; Giulio Antunes De Medeiros² ; Jonni Guiller Ferreira Madeira³ ; Elizabeth Oliveira⁴ ; Marcos De Campos¹ ; ¹UFF - Federal Fluminense University, Volta Redonda, Brazil; ²UFF-Programa de Pos Graduação em Engenharia Metalurgica, Volta Redonda, Brazil; ³CEFET-Angra dos Reis, Angra dos Reis, Brazil; ⁴Center for Technological Education Celso Suckow da Fonseca, Valenca, Brazil;
Paper Id: 206 [Abstract]

The reduction of pellets and lump ores in the shaft furnace process is widely used to produce direct reduced iron (DRI). The traditional process of DRI production uses a gas reforming system based on catalytic reactions and demands high amount of fossil source energy from natural gas. A new hydrogen-based process has been proposed. In this study, we propose to combine self-reducing characteristics with hydrogen technology with self-catalytic reactions to avoid the natural gas-based reforming step. We analyzed this new technology using an in-house computational code. The computational analysis is a numerical model based on transport equations of momentum, energy and chemical species for gas and solid phases to reproduce the inner phenomena in the direct reduction of the shaft furnace process for producing DRI. The model is used to investigate promising scenarios of hydrogen-based technology. Four cases were considered using partial replacement of the burden by bio-self-reducing agglomerates combining with hydrogen and oxygen injections on the bustle level. The inner temperature, pressure and phase composition distributions are discussed for the selected scenarios. The simulation results indicated that the efficiency of the process can be improved with the adequate choice of operational parameters and raw materials burden.

References:
[1] Castro, JA, Takano, C., Yagi, J. A theoretical study using the multiphase numerical simulation technique for effective use of H2 as blast furnaces fuel. Journal of Materials Research and Technology, v.6(3), p.258-270, 2017.

SESSION: IronFriPM1-R8	Usui International Symposium on Advanced Sustainable Iron and Steel Making (7th Intl. Symp. on Advanced Sustainable Iron and Steel Making)
Fri Oct, 25 2019 / Room: Ambrosia B (77/RF)
Session Chairs: Henrik Saxen; Hiroshi Nogami; Session Monitor: TBA

15:15: [IronFriPM108] Invited
Mathematical Modeling of the Shaft Furnace Process for Producing DRI Using Self-Reducing Pellets
Jose Adilson De Castro¹ ; Marcos De Campos¹ ; Elizabeth Oliveira² ; Giulio Antunes De Medeiros³ ; ¹UFF - Federal Fluminense University, Volta Redonda, Brazil; ²Center for Technological Education Celso Suckow da Fonseca, Valenca, Brazil; ³UFF-Programa de Pos Graduação em Engenharia Metalurgica, Volta Redonda, Brazil;
Paper Id: 200 [Abstract]

The shaft furnace process is widely used to produce DRI from pellets and lump ore. One of the largest shortcomings of the process is the need for a reforming gas station for producing reducing gas. This study proposes the enhancement of the efficiency of the process using self-reducing burden with poor reducing gas. A numerical model based on transport equations of momentum, energy and chemical species for gas and solid phases is proposed to simulate the inner phenomena in the direct reduction of the shaft furnace process for producing direct reducing iron (DRI). The model is verified using industrial data of productivity, raw materials and final composition of the DRI product. The model is used to evaluate operational practices using new raw materials and composition of reducing gas in the process. Five cases were considered which correspond to available raw materials and operational conditions on the process. The effects on the gas and solid inner temperature, pressure and phase compositions distributions are quantified. The simulation results indicated that good agreement for overall parameters of the process could be achieved. Afterwards, detailed features of the inner conditions of the process are predicted.

References:
[1] CASTRO JA, NOGAMI H, YAGI J. Numerical analysis of multiple injection of pulverized coal, prereduced iron ore and flux with oxygen enrichment to the blast furnace. ISIJ International, v. 41, n. 1, p. 18-24, 2001.

[2] CASTRO JA, SILVA A.J, SAZAKI Y, YAGI J. A six-phases 3-D model to study simultaneous injection of high rates of pulverized coal and charcoal into the blast furnace with oxygen enrichment. ISIJ International, v. 51, n.7, p. 748-758, 2011.