Life Cycle Assessment of Steel Production

2014 ◽  
Vol 787 ◽  
pp. 102-105 ◽  
Author(s):  
Jiang Yuan Hu ◽  
Feng Gao ◽  
Zhi Hong Wang ◽  
Xian Zheng Gong

Based on life cycle assessment, analysis of energy consumption and other environment load by steel production in Chinese typical iron and steel industry was carried out. The process accounted for the most environment load was found by studying the different processes in steel production route. The results indicate that the most important process is blast furnace (BF) which is the major factor of CO2 and CO emissions, and contributes most to globe warming potential (GWP) and photochemical ozone creation potential (POCP).

2018 ◽  
Vol 1 (92) ◽  
pp. 33-40
Author(s):  
V. Shatokha

Purpose: To analyse the potential of various scenarios for reduction of carbon footprint of iron and steel sector and to reveal plausible pathways for modernisation. Design/methodology/approach: Several scenarios have been developed in order to assess the dynamics and extent of decarbonisation required to meet the global climate change mitigation target. This includes deployment of the best available technologies, increased share of secondary steel production route and deployment of innovative ironmaking technologies with various decarbonisation extent achieved in a variable timeframe. Findings: The window of opportunities to ensure compliance of steel sector development with climate goal still exists though shrinks. Modernisation shall include global deployment of best available technologies, increased share of secondary steel production and rapid deployment of innovative technologies including carbon capture and storage. Delayed modernisation will require much deeper decarbonisation, which will increase the total cost of mitigation. International policies shall be put in place to ensure availability of funding and to assist technology transfer. Short term transition strategies shall be employed as soon as possible for bridging long term climate change mitigation strategies and current state of the iron and steel industry worldwide. Research limitations/implications: Methodology applied takes into account the best available technologies and some novel ironmaking methods with the potential for commercialisation during the next decade; however, it is implied that the radically innovative iron- and steelmaking technologies with near-zero CO2 emissions will not be mature enough to deliver tangible impact on the sector’s carbon footprint before 2050. Practical implications: Obtained results can be helpful for definition of the modernisation strategies (both state-level and corporate) for the iron and steel industry. Originality/value: Dynamics and extent of decarbonisation required to meet global climate change mitigation targets have been revealed and the results can be valuable for assessment of the consistency of sectoral climate strategies with global targets.


2013 ◽  
Vol 634-638 ◽  
pp. 3163-3169
Author(s):  
Bao Qing Wang ◽  
Lei Zhang ◽  
De Qing Wang ◽  
Shuai Yin ◽  
Shu Yao

To assess some technologies which are more appropriate for the development of the iron and steel industry in China, a model was developed based on the Long range Energy Alternatives Planning System (LEAP) to assess the energy saving and CO2 reduction potentials from 2010 to 2040. The results show that the top three saving energy potentials is non-blast furnace iron-making accounted for 6.85%, device enlargement for 5.85%, advanced blast furnace for 4.84%, and also show that the top three CO2 reduction potentials is device enlargement accounted for 11.7%, non-blast furnace iron-making for 6.21%, advanced coke and blast furnace 5.52%. In the Mitigation scenario, it can reduce 28% of the initial energy demand and 35.2% of CO2 emissions. It can provide a method and data for search energy saving and CO2 reduction potentials in iron and steel industry by LEAP model.


In India Indian, Iron and Steel Industry plays significantly for the overall growth and development of the country. Based on the budget of Ministry of Steel declares that steel industry contributes 2% of the Indias GDP, and its weight is 6.2% in the Index of Industrial Production(IPP). The sector able to grow by itself globally. In India steel production in one Million Tones in 1947, now its become the world's 2nd largest producer next to China. India's GDP declines 5% in 2019 on account of rising Inflation, GST and strict monetary control. This medium made the domestic demand weeker which grew 3.3% in 2019, Despite the rise in last Quater


2016 ◽  
Vol 18 (14) ◽  
pp. 4022-4031 ◽  
Author(s):  
Sicong Tian ◽  
Jianguo Jiang ◽  
Feng Yan ◽  
Kaimin Li ◽  
Xuejing Chen ◽  
...  

A highly efficient CO2capture process integrating calcium looping and waste recycling into iron and steel production is proposed, which can also valorize the waste steel slagviaa simultaneous iron and CaO recycling.


Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7090
Author(s):  
Jorge Perpiñán ◽  
Manuel Bailera ◽  
Luis M. Romeo ◽  
Begoña Peña ◽  
Valerie Eveloy

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.


Author(s):  
Gokce Ozdes ◽  
Yakup Kutlu

Iron production in the iron and steel industry is a process that starts with the melting of scrap in electric arc furnaces or iron ore in basic oxygen furnaces. The proportions of the alloys in the liquid steel obtained from the liquid steel obtained by melting scrap are of great importance in order to produce the desired quality iron. In steel production, it is necessary to reduce the carbon rate to the desired level, to reduce the proportions of manganese, silicon and other chemicals to the values prescribed in the prescription, and to remove sulfur from liquid steel as much as possible. Therefore, alloys are added (FeSiMnPOTP, AltelPOTP, GrnKrbnPOTP, FeMnOrtCPOTP, KirecPOTP, FeSiPOTP, AlPOTP, FlşptPOTP etc.). Each alloy added has a chemical that acts. For example; If it is desired to change the aluminum ratio of liquid steel, AltelPOTP alloy is added. In the analysis results, it is observed that the aluminum ratios have changed. The liquid steel transferred to the ladle furnace is analyzed at certain intervals and the addition of chemical alloys continues until the required ratios are obtained. Chemical alloys added to liquid steel should not be less or more than they should be, in terms of both material and quality standards. Because the mentioned alloys are serious cost items when purchased in dollars and spread over a long term. For this reason, the rates should be adjusted very accurately. All these metallurgical processes are complex, multivariate systems. Looking at the examinations made, it is seen that while the alloys to be added to the liquid steel in the ladle furnace are rehearsed for an average of 4 times in a casting, this process is repeated at least 2 and at most 6 times. Taking samples from the liquid steel in the ladle furnace, sending the sample for chemical analysis, obtaining the result of chemical analysis and repeating these processes if the desired quality standards are not obtained, the average time is 45 minutes. These periods cause serious waste of time. For this reason, the time of the next casting has to be started later than the planned time. This causes delay in the subsequent processes (pouring liquid steel into molds in continuous casting, forming in the rolling mill, passing through quality tests, etc.). Today, with the advancement of technology, the use of artificial intelligence in the iron and steel industry will be a mandatory approach to minimize the number of proofs and minimize the loss of material and temporal labor.


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