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A model on CO2 emission reduction in integrated steelmaking by optimization methods
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0001-8247-8320
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2008 (English)In: International journal of energy research (Print), ISSN 0363-907X, E-ISSN 1099-114X, Vol. 32, no 12, 1092-1106 p.Article in journal (Refereed) Published
Abstract [en]

The iron and steel industry is a large energy user in the manufacturing sector. Carbon dioxide from the steel industry accounts for about 5-7% of the total anthropogenic CO2 emission. Concerns about energy consumption and climate change have been growing on the sustainability agenda of the steel industry. The CO2 emission will be heavily influenced with increasing steel production in the world. It is of great interest to evaluate and decrease the specific CO2 emission and to find out feasible solutions for its reduction. In this work, a process integration method focusing on the integrated steel plant system has been applied. In this paper, an optimization model, which can be used to evaluate CO2 emission for the integrated steel plant system, is presented. Two application cases of analysing CO2 emission reduction possibilities are included in the paper. Furthermore, the possibility to apply the model for a specific integrated steel plant has been discussed. The research work on the optimization of energy and CO2 emission has shown that it is possible to create a combined optimization tool that is powerful to assess the system performance from several aspects for the steel plant.

Place, publisher, year, edition, pages
2008. Vol. 32, no 12, 1092-1106 p.
National Category
Energy Engineering Metallurgy and Metallic Materials
Research subject
Energy Engineering; Process Metallurgy
Identifiers
URN: urn:nbn:se:ltu:diva-13226DOI: 10.1002/er.1447Local ID: c6906d10-b730-11dd-9c2e-000ea68e967bOAI: oai:DiVA.org:ltu-13226DiVA: diva2:986178
Note
Validerad; 2008; 20081120 (chrrym)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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