The Global Societal Steel Scrap Reserves and Amounts of Losses

In this study a newly developed method called the Progressing and Backcasting models were used to evaluate the annual resource utilizations of steel scrap in Sweden and globally. The model results show that it is possible to assess the amounts of steel scrap available for steelmaking at a given poin...

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Main Authors: Alicia Gauffin, Nils Å. I. Andersson, Per Storm, Anders Tilliander, Pär G. Jönsson
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Resources
Subjects:
Online Access:http://www.mdpi.com/2079-9276/5/3/27
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spelling doaj-f18e587da9a74fa0975015d3c5abf6932020-11-24T23:06:40ZengMDPI AGResources2079-92762016-09-01532710.3390/resources5030027resources5030027The Global Societal Steel Scrap Reserves and Amounts of LossesAlicia Gauffin0Nils Å. I. Andersson1Per Storm2Anders Tilliander3Pär G. Jönsson4Materials Science and Engineering, Applied Process Metallurgy, Royal Institute of Technology (KTH), Brinellvägen 23, Stockholm 100 44, SwedenMaterials Science and Engineering, Applied Process Metallurgy, Royal Institute of Technology (KTH), Brinellvägen 23, Stockholm 100 44, SwedenMaterials Science and Engineering, Applied Process Metallurgy, Royal Institute of Technology (KTH), Brinellvägen 23, Stockholm 100 44, SwedenMaterials Science and Engineering, Applied Process Metallurgy, Royal Institute of Technology (KTH), Brinellvägen 23, Stockholm 100 44, SwedenMaterials Science and Engineering, Applied Process Metallurgy, Royal Institute of Technology (KTH), Brinellvägen 23, Stockholm 100 44, SwedenIn this study a newly developed method called the Progressing and Backcasting models were used to evaluate the annual resource utilizations of steel scrap in Sweden and globally. The model results show that it is possible to assess the amounts of steel scrap available for steelmaking at a given point in time, based on statistical dynamic material flow models. By a better mapping of the available amounts of steel scrap reserves on a country basis, it is possible to ease the trade of scrap across country boarders. This in turn can optimize the supply of recyclable metals as a raw material used in the industry. The results for Swedish steel consumption show that export bans used to secure the domestic market of steel scrap do damage the internal market due to increased amounts of losses. This suggests that export bans should be lifted to optimize recycling in countries. The model results also show that the global losses of steel are higher than for an industrialized country such as Sweden. Furthermore, the results show that the Backcasting and Progressing models can be used to calculate robust forecasts on the long term availability of steel scrap assets. This information could be used for future structural plans of scrap consuming steelmaking mills and waste management facilities. Hence, it is possible to contribute to a sustainable industrial development and a circular economy.http://www.mdpi.com/2079-9276/5/3/27scrap reservescrap generationsteel stockrecyclinglossesforecastscarcitydynamic material flow modellingsustainability
collection DOAJ
language English
format Article
sources DOAJ
author Alicia Gauffin
Nils Å. I. Andersson
Per Storm
Anders Tilliander
Pär G. Jönsson
spellingShingle Alicia Gauffin
Nils Å. I. Andersson
Per Storm
Anders Tilliander
Pär G. Jönsson
The Global Societal Steel Scrap Reserves and Amounts of Losses
Resources
scrap reserve
scrap generation
steel stock
recycling
losses
forecast
scarcity
dynamic material flow modelling
sustainability
author_facet Alicia Gauffin
Nils Å. I. Andersson
Per Storm
Anders Tilliander
Pär G. Jönsson
author_sort Alicia Gauffin
title The Global Societal Steel Scrap Reserves and Amounts of Losses
title_short The Global Societal Steel Scrap Reserves and Amounts of Losses
title_full The Global Societal Steel Scrap Reserves and Amounts of Losses
title_fullStr The Global Societal Steel Scrap Reserves and Amounts of Losses
title_full_unstemmed The Global Societal Steel Scrap Reserves and Amounts of Losses
title_sort global societal steel scrap reserves and amounts of losses
publisher MDPI AG
series Resources
issn 2079-9276
publishDate 2016-09-01
description In this study a newly developed method called the Progressing and Backcasting models were used to evaluate the annual resource utilizations of steel scrap in Sweden and globally. The model results show that it is possible to assess the amounts of steel scrap available for steelmaking at a given point in time, based on statistical dynamic material flow models. By a better mapping of the available amounts of steel scrap reserves on a country basis, it is possible to ease the trade of scrap across country boarders. This in turn can optimize the supply of recyclable metals as a raw material used in the industry. The results for Swedish steel consumption show that export bans used to secure the domestic market of steel scrap do damage the internal market due to increased amounts of losses. This suggests that export bans should be lifted to optimize recycling in countries. The model results also show that the global losses of steel are higher than for an industrialized country such as Sweden. Furthermore, the results show that the Backcasting and Progressing models can be used to calculate robust forecasts on the long term availability of steel scrap assets. This information could be used for future structural plans of scrap consuming steelmaking mills and waste management facilities. Hence, it is possible to contribute to a sustainable industrial development and a circular economy.
topic scrap reserve
scrap generation
steel stock
recycling
losses
forecast
scarcity
dynamic material flow modelling
sustainability
url http://www.mdpi.com/2079-9276/5/3/27
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