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KTH Steel Scrap Model: Iron and Steel Flow in the Swedish Society 1889–2010
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Applied Process Metallurgy.ORCID iD: 0000-0002-3606-6146
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Applied Material Physics.
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Applied Process Metallurgy.ORCID iD: 0000-0003-1919-9964
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Applied Process Metallurgy.
2013 (English)In: Journal for Manufacturing Science and Production, ISSN 2191-0375, Vol. 13, no 1/2, 47-54 p.Article in journal (Refereed) Published
Abstract [en]

KTH Steel Scrap Model calculates material flows of iron and steel in the Swedish society based on statistics, mass balance and mass flow analysis and industry knowledge. The material flows of iron and steel were calculated for external scrap consumption, internal scrap, domestic steel scrap arising and net flow of iron and steel into the Swedish society. Model output on external steel scrap consumption and domestic steel scrap arising was compared to an earlier analysis done by Jernkontoret for the timeline 1980–2009. The results show that mass balance calculations are area wise corresponding to consumption figures based on trade statistics. In addition the difference in trend is assumed to be mainly due to stocking effect. Furthermore it is shown that mass balance and mass flow models could be used as a tool to calculate apparent scrap consumption based on crude steel production figures by process type.

Place, publisher, year, edition, pages
2013. Vol. 13, no 1/2, 47-54 p.
Keyword [en]
steel scrap, mfa, mass balance, statistics, circulation
National Category
Metallurgy and Metallic Materials
Identifiers
URN: urn:nbn:se:kth:diva-175721DOI: 10.1515/jmsp-2012-0033OAI: oai:DiVA.org:kth-175721DiVA: diva2:862076
Note

QC 20151020

Available from: 2015-10-20 Created: 2015-10-20 Last updated: 2015-10-20Bibliographically approved
In thesis
1. Improved mapping of steel recycling from an industrial perspective
Open this publication in new window or tab >>Improved mapping of steel recycling from an industrial perspective
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The results from this study show that it is possible to obtain data series on the steel scrap collection based on mass balance model on the crude steel production figures by steelmaking reactor type and additional knowledge on process metallurgy as well as information on inputs and outputs into the reactors with an area correlation coefficient of 0,91 compared to data obtained from trade statistics. Furthermore, the study shows that based on a new method it is possible to calculate the time duration of mass flows on a continuous basis. Furthermore, two complementary statistical dynamic material flow models that can be used to calculate the societal recycling rates of steel was constructed. These statistical models contribute to a standardized way of obtaining consistent results. The new models are able to segregate the non-recirculated amounts of steel into the hibernating steel stock available for future collection from the amounts of losses based on statistics. The results show that it is possible to calculate the amounts of steel scrap available for steelmaking at a given point in time. In addition, based on the new models it is possible to calculate recycling trends in society. Also, the models are able to calculate robust forecasts on the long-term availability of steel scrap, and test if forecast demand of steel scrap exceeds a full recovery. This due to that the steel scrap generation is a function of the collection rate of steel scrap. Also, a method for obtaining representative samplings on the alloy content in steel scrap called random sampling analysis (RSA) was developed. The results from the RSA show that it is possible to optimize the recovery of valuable elements in the production process of steelmaking based on the information on the composition of steel scrap.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2015. ix, 39 p.
Keyword
Recycling rate, lifetime, steel scrap, scrap reserve, dynamic material flow modelling, environmental analysis, greenhouse gas emissions, energy, alloy content, forecasting, backcasting
National Category
Metallurgy and Metallic Materials
Research subject
Materials Science and Engineering
Identifiers
urn:nbn:se:kth:diva-175393 (URN)978-91-7595-743-2 (ISBN)
Public defence
2015-11-16, F3, Lindstedtsvägen 26, KTH, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20151020

Available from: 2015-10-20 Created: 2015-10-13 Last updated: 2015-10-23Bibliographically approved

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Gauffin, Alicia

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