2021
DOI: 10.3390/met11101654
|View full text |Cite
|
Sign up to set email alerts
|

Challenges and Outlines of Steelmaking toward the Year 2030 and Beyond—Indian Perspective

Abstract: In FY-20, India’s steel production was 109 MT, and it is the second-largest steel producer on the planet, after China. India’s per capita consumption of steel was around 75 kg, which has risen from 59 kg in FY-14. Despite the increase in consumption, it is much lower than the average global consumption of 230 kg. The per capita consumption of steel is one of the strongest indicators of economic development across the nation. Thus, India has an ambitious plan of increasing steel production to around 250 MT and … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
8
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 17 publications
(8 citation statements)
references
References 18 publications
0
8
0
Order By: Relevance
“…The next two papers highlight the situation in the two biggest steel-producing countries [2,3]. China is the overwhelming producer nearing one billion tons per year.…”
Section: Contributionsmentioning
confidence: 97%
See 1 more Smart Citation
“…The next two papers highlight the situation in the two biggest steel-producing countries [2,3]. China is the overwhelming producer nearing one billion tons per year.…”
Section: Contributionsmentioning
confidence: 97%
“…Notwithstanding, the Chinese steel industry is facing big problems in trying to peak the emissions, cutting them down in accordance with the national policy and carbon neutrality targets [2]. Similar problems affect India which has risen to second place among steel-producing countries [3]. Its production structure is, however, totally different.…”
Section: Contributionsmentioning
confidence: 99%
“…The cost function reported in Equation ( 9) and the hard/soft constraints reported in Equation ( 10) represent an MPC formulation with tracking, move suppression, and slack variables terms [54,55]. In Equations ( 9) and (10), u ∈ R l u x1 represent the MVs vector, while y ∈ R m y x1 represents the CVs vector, which refers to the last two groups of CVs of Table 6. Furthermore, the slack variable vectors ε y (k), ε T (k), ε ∆T (k) and ε A (k) can be characterized by different elements, based on the case study.…”
Section: General Formulation and Control Modes Characterizationmentioning
confidence: 99%
“…Data selection, acquisition, storage, and analysis play a fundamental role in this context: the Industry 4.0 framework can provide useful and efficient methods for these purposes [6][7][8]. Through hardware interventions, some aspects of the production chain are modified; an example is constituted by the installation of a huge number of "micro-mills" with induction furnaces [9,10]. An additional hardware modification solution is represented by process improvement through heat-mass transfer and thermal efficiency calculation [11].…”
Section: Introductionmentioning
confidence: 99%
“…Medium and low-grade ores are being mined as the high-grade reserves are about to finish to meet the increasing demand for iron ore [2]. During the beneficiation of these medium and low-grade iron ore, fines were generated from the comminution and classification stages which contain a good amount of iron values [3][4][5][6]. Recoveries of these iron values are so substantial to maximize the cost economics.…”
Section: Introductionmentioning
confidence: 99%