Long-term Projection of CO2 Emissions from Iron and Steel Production Considering Production and Technology Change

Ground Granulated Blast Furnace Slag (GGBS) is a type of Supplementary Cementitious Material (SCM) that is currently being used extensively in the global construction industry. SCMs are cheaper than Portland cement, help to improve certain properties of concrete and also help to reduce the environmental footprint associated with the production of Portland cement. GGBS is readily available in most parts of the world as a waste product from iron and steel production. However, its use as a SCM in some countries has not been fully maximized. This is primarily because of lack of documented studies on the properties of GGBS that influences its suitability as a SCM, especially in tropical environments. This paper reviewed the use of GGBS as a SCM for the partial replacement of Portland cement, with particular emphasis on its potential use in tropical warm environments such as Nigeria and other similar countries.

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Constructal design for an iron and steel production process based on the objectives of steel yield and useful energy

International Journal of Heat and Mass Transfer ◽

10.1016/j.ijheatmasstransfer.2017.04.096 ◽

2017 ◽

Vol 111 ◽

pp. 1192-1205 ◽

Cited By ~ 27

Author(s):

Huijun Feng ◽

Lingen Chen ◽

Xiong Liu ◽

Zhihui Xie

Keyword(s):

Production Process ◽

Steel Production ◽

Iron And Steel ◽

Constructal Design ◽

Iron And Steel Production

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An improved imperialist competitive algorithm for hybrid flowshop rescheduling in steelmaking-refining-continuous casting process

Measurement and Control ◽

10.1177/0020294020960187 ◽

2020 ◽

pp. 002029402096018

Author(s):

Kunkun Peng ◽

Xudong Deng ◽

Chunjiang Zhang ◽

Quan-Ke Pan ◽

Liang Ren ◽

...

Keyword(s):

Continuous Casting ◽

Optimal Schedule ◽

Steel Production ◽

Casting Process ◽

Imperialist Competitive Algorithm ◽

Initial Population ◽

Hybrid Flowshop ◽

Iron And Steel ◽

Competitive Algorithm ◽

Iron And Steel Production

Steelmaking-refining-Continuous Casting (SCC) is a key process in iron and steel production. SCC scheduling is to determine an optimal schedule for the SCC process, which is a worldwide and important problem. High-quality SCC scheduling methods will help to allocate production resources effectively and increase the productivity. However, dynamic events (e.g. machine breakdown) may happen in the realistic SCC process, which will make the SCC schedule inexecutable or not optimal. In this case, SCC rescheduling is essential in order to obtain a new optimal schedule suitable for the current production environments. The SCC rescheduling can be modeled as hybrid flowshop rescheduling. In this paper, an Improved Imperialist Competitive Algorithm (IICA) is proposed to address the SCC rescheduling. In the proposed IICA, an empire initialization is first devised for constructing an initial population with diversity and certain quality. Moreover, multiswap-based local search and imperialist competition are designed to improve the exploitation ability of the IICA, while revolution and restart strategy are devised to enhance the exploration ability of the IICA. Comparison experiments with three kinds of ICA have shown the efficiency of the IICA.

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