Experimental Study on Zinc Leaching of Blast Furnace Gas Ash by Ammonia Leaching

2014 ◽  
Vol 962-965 ◽  
pp. 780-783
Author(s):  
Jie Wang ◽  
Wei Xiong ◽  
Bao Ping Zhang
Keyword(s):  
Blast Furnace ◽  
Removal Rate ◽  
Influence Factors ◽  
Environmental Benefits ◽  
Main Task ◽  
Leaching Rate ◽  
Iron And Steel ◽  
Leaching Process ◽  
Blast Furnace Gas ◽  
Ammonia Leaching

Blast furnace gas ash is one of the main solid wastes in iron and steel enterprise. The recovery of zinc from gas ash can result in considerable economic and environmental benefits. The effect of NH3/NH4+, L/S, [NH3]T and leaching time on the zinc leaching rate of blast furnace gas ash by using ammonia leaching process had been investigated in this paper. The results show that L/S and NH3/NH4+ are the main influence factors under the experimental condition. The optimal conditions for leaching process are: NH3/NH4+=2:1, L/S=4:1, [NH3]T =5mol/L, and the leaching time is 3 hours. The zinc leaching rate is 82.84% under the optimized conditions. The lead content in leaching solution is high, so the main task is to improve the removal rate of lead in the purification process.

scholarly journals CO2 Recycling in the Iron and Steel Industry via Power-to-Gas and Oxy-Fuel Combustion

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7090
Author(s):  
Jorge Perpiñán ◽  
Manuel Bailera ◽  
Luis M. Romeo ◽  
Begoña Peña ◽  
Valerie Eveloy
Keyword(s):  
Blast Furnace ◽  
Steel Industry ◽  
Carbon Capture ◽  
Base Case ◽  
Iron And Steel Industry ◽  
Iron And Steel ◽  
Blast Furnace Gas ◽  
Coal Fuel ◽  
Steel Sector ◽  
Power To Gas

The iron and steel industry is the largest energy-consuming sector in the world. It is responsible for emitting 4–5% of the total anthropogenic CO2. As an energy-intensive industry, it is essential that the iron and steel sector accomplishes important carbon emission reduction. Carbon capture is one of the most promising alternatives to achieve this aim. Moreover, if carbon utilization via power-to-gas is integrated with carbon capture, there could be a significant increase in the interest of this alternative in the iron and steel sector. This paper presents several simulations to integrate oxy-fuel processes and power-to-gas in a steel plant, and compares gas productions (coke oven gas, blast furnace gas, and blast oxygen furnace gas), energy requirements, and carbon reduction with a base case in order to obtain the technical feasibility of the proposals. Two different power-to-gas technology implementations were selected, together with the oxy blast furnace and the top gas recycling technologies. These integrations are based on three strategies: (i) converting the blast furnace (BF) process into an oxy-fuel process, (ii) recirculating blast furnace gas (BFG) back to the BF itself, and (iii) using a methanation process to generate CH4 and also introduce it to the BF. Applying these improvements to the steel industry, we achieved reductions in CO2 emissions of up to 8%, and reductions in coal fuel consumption of 12.8%. On the basis of the results, we are able to conclude that the energy required to achieve the above emission savings could be as low as 4.9 MJ/kg CO2 for the second implementation. These values highlight the importance of carrying out future research in the implementation of carbon capture and power-to-gas in the industrial sector.

Supply and Demand Forecasting of Blast Furnace Gas Based on Artificial Neural Network in Iron and Steel Works

2012 ◽  
Vol 443-444 ◽  
pp. 183-188 ◽  
Author(s):  
Qi Zhang ◽  
Yan Liang Gu ◽  
Wei Ti ◽  
Jiu Ju Cai
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Blast Furnace ◽  
Supply And Demand ◽  
Demand Forecasting ◽  
Iron And Steel ◽  
Blast Furnace Gas ◽  
Artificial Neural ◽  
Iron And Steel Works ◽  
Steel Works

Abstract.Blast Furnace Gas (BFG) system of an iron and steel works was considered. The relationship of gas amount and factors about BFG generation and consumption was analyzed by grey correlationand the BP neural network prediction model of blast furnace gaswas established based on artificial neural network for forecasting thesupply and demandof BFGinthe iron and steel-making processes.The scientific forecasting of BFG generation and consumption in each process was discussed undernormal production and accidental maintenance condition. The results show that established forecasting model is high precision, small errors, and can solve effectively actual production of BFG prediction problem and decreasing BFG flare, providing theoretical basis for establishing reasonable plans in the iron and steel works.

DESIGN OF AIR PRE-HEATER FOR BLAST FURNACE GAS FIRED BOILER

2016 ◽  
Vol 1 (3) ◽  
pp. 53-59
Author(s):  
Venkateshkumar R ◽  
Kishor Kumar ◽  
Prakash B ◽  
Rahul R
Keyword(s):  
Blast Furnace ◽  
Blast Furnace Gas

scholarly journals Optimization of heat treatment of glass-ceramics made from blast furnace slag

2020 ◽  
Vol 39 (1) ◽  
pp. 539-544
Author(s):  
Yi-Ci Wang ◽  
Pei-Jun Liu ◽  
Guo-Ping Luo ◽  
Zhe Liu ◽  
Peng-Fei Cao
Keyword(s):  
Heat Treatment ◽  
Blast Furnace ◽  
Blast Furnace Slag ◽  
Orthogonal Experiment ◽  
Glass Ceramics ◽  
Iron And Steel ◽  
Heat Treatment Regime ◽  
Main Crystalline Phase ◽  
Optimum Heat ◽  
Furnace Slag

AbstractCaO–MgO–Al2O3–SiO2 glass-ceramics with diopside as the main crystalline phase were prepared by melting blast furnace slag obtained from Baotou Iron and Steel Company. The effect of heat treatment on the crystallization behavior of glass-ceramics, containing a large proportion of melted blast furnace slag, was studied by means of differential thermal analysis and scanning electron microscopy. The optimum heat-treatment regime was obtained by orthogonal experimental results for glass-ceramics in which blast furnace slag comprised 70% of the composition and 1% Cr2O3 and 4% TiO2 were used as nucleating agents. The nucleation temperature was 750°C for 2.5 h and the crystallization temperature was 930°C for 1 h. Under this regime, the performance of the glass-ceramic was better than that of other groups in the orthogonal experiment.

Microwave-Assisted Leaching Vanadium from Stone Coal

2011 ◽  
Vol 189-193 ◽  
pp. 3916-3919 ◽  
Author(s):  
Hong Zhou Ma ◽  
Xin Zhe Lan ◽  
Yao Ning Wang ◽  
Yu Hong Tian
Keyword(s):  
Sulfuric Acid ◽  
Microwave Power ◽  
Orthogonal Design ◽  
Chemical Constituents ◽  
Influence Factors ◽  
Sulfate Solution ◽  
Leaching Rate ◽  
Stone Coal ◽  
Microwave Assisted ◽  
Design Experiments

Technological process of microwave-assisted leaching of vanadium with sulfate solution has been defined on the base of phase and chemical constituents of stone coal. The influence factors such as content of sulfuric acid, microwave power, and leaching time were studied on leaching rate of vanadium from the stone coal. One element experiments and orthogonal design experiments are carried out to achieve optimized parameters. The experimental results showed that the leaching rate of vanadium was improved by the change of influence factors at some range. The single leaching rate of vanadium reached 80.9% under the optimal conditions of sulfuric acid content of 12%, microwave power 539w,leaching time of 2h.

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