Parametric Studies on PCI Performances

Fu, Dong; Zheng, Dezhi; Zhou, Chenn Q.; John, D.; Ferron, Kyle J.; Zhao, Yuehong

doi:10.1115/ajtec2011-44608

Cited by 8 publications

(9 citation statements)

References 4 publications

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“…Parametric studies on gas flow rates, hot blast temperatures, injected fuel flow rates, and others were performed, with an eye toward the impacts of these operating parameters on gas temperatures, species distributions, and coke consumption rates in the raceway region. Phenomena due to co‐injection in the BF raceway were further explored at a U.S. Steel Canada blast furnace, with results indicating that PCI operation consumes blast O 2 more rapidly than coke operation, increasing PCI rates while holding other operating conditions steady will result in greater amounts of unburned char entering the coke bed, and providing additional detail regarding the location of coke combustion, the distribution of unburned char, and other parameters …”

Section: Cfd Blast Furnace Model Applicationsmentioning

confidence: 99%

Review on Computational Modeling and Visualization of the Ironmaking Blast Furnace at Purdue University Northwest

Okosun

Silaen

Zhou

2019

steel research int.

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Despite the age of the process, the blast furnace remains critical to industrial ironmaking. With advances in analysis technologies and control systems, and economic pressure from competitive new ironmaking techniques, modern blast furnace operation has become more efficient. However, room still exists for improvement, particularly in the blast furnace raceway region. Further development requires better understanding of phenomena within the blast furnace, including heat transfer, mass transfer, chemical reactions, and multiphase flow. To that end, computational simulation and visualization, in multiple approaches, are increasingly used to explore blast furnace phenomena. Current computational approaches range from simplified tools designed for rapid turn‐around times to complex solvers intended to capture the movement of discrete particles within the furnace. This paper reviews recent current state‐of‐the‐art techniques for simulation and visualization of the blast furnace developed by the Center for Innovation through Visualization and Simulation (CIVS) at Purdue University Northwest (PNW), as well as an overview of other advanced techniques in the field.

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Section: Cfd Blast Furnace Model Applicationsmentioning

confidence: 99%

Review on Computational Modeling and Visualization of the Ironmaking Blast Furnace at Purdue University Northwest

Okosun

Silaen

Zhou

2019

steel research int.

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“…This model includes the reactions related to: (i), coal combustion (devolatilization, volatile combustion, and char reactions); (ii), gas combustion; and (iii), coke combustion and gasification . On the other hand, other researchers developed a two‐fluid model to predict the combustion process in BFs, considering the reactions and computational domain similar to those by Shen et al…”

Section: Modeling and Simulation Of Different Bf Regionsmentioning

confidence: 99%

“…Ueda et al in 2010 and Ariyama et al in 2014 further discussed the new efforts reported for the discrete simulation of BF, respectively. However, the previous reviews did not pay much attention to the modeling efforts dedicated to hearth and raceway, of which the performance plays a critical role in determining BF campaign life, as well as operation and maintenance costs. Also, considerable model developments based on either discrete or continuum approach have been made recently.…”

Section: Introductionmentioning

confidence: 99%

Review on Modeling and Simulation of Blast Furnace

Kuang

2017

steel research int.

144

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The design and control of blast furnace (BF) ironmaking must be optimized in order to be competitive and sustainable, particularly under the more and more demanding and tough economic and environmental conditions. To achieve this, it is necessary to understand the complex multiphase flow, heat and mass transfer, and global performance of a BF under different conditions. Mathematical modeling, often coupled with physical modeling, plays an important role in this area. This paper reviews the recent developments in this direction. The emphasis is given to mathematical models for different BF regions from the top charging system, body, and finally down to raceway and hearth. The needs for the further research and developments are also discussed.

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“…Work previously undertaken at CIVS has led to the development of validated CFD models that permit the exploration of impacts in the furnace from the tuyere through the shaft region. Details of this modeling work have previously been published [6,[18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. Previous work has indicated the potential for natural gas preheating as a potential method to reduce the coke rate of the blast furnace [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Tuyere-Level Syngas Injection in the Blast Furnace: A Computational Fluid Dynamics Investigation

et al. 2021

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With the recent push towards high injection rate blast furnace operation for economic and environmental reasons, it has become desirable in North America to better understand the impacts of alternate injected gas fuels in comparison to the well-documented limitations of natural gas. The quenching effects of gas injection on the furnace present a functional limit on the maximum stable injection rate which can be utilized. With this in mind, researchers at Purdue University Northwest’s Center for Innovation through Visualization and Simulation utilized previously developed computational fluid dynamics (CFD) models of the blast furnace to explore the impacts of replacing natural gas with syngas in a blast furnace with a single auxiliary fuel supply. Simulations predicted that the syngas injection can indeed reduce coke consumption in the blast furnace at similar injection rates to natural gas while maintaining stable raceway flame and reducing gas temperatures. The coke rates predicted by modeling using similar injection rates indicated an improvement of 8 to 15 kg/thm compared to baseline conditions when using the syngas of various feedstocks. Additionally, syngas injection scenarios typically produced higher raceway flame temperatures than comparable natural gas injection cases, indicating potential headroom for reducing oxygen enrichment in the hot blast or providing an even higher total injection rate.

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Parametric Studies on PCI Performances

Cited by 8 publications

References 4 publications

Review on Computational Modeling and Visualization of the Ironmaking Blast Furnace at Purdue University Northwest

Review on Computational Modeling and Visualization of the Ironmaking Blast Furnace at Purdue University Northwest

Review on Modeling and Simulation of Blast Furnace

Tuyere-Level Syngas Injection in the Blast Furnace: A Computational Fluid Dynamics Investigation

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