Time-varying losses in material flows of steel using dynamic material flow models

Gauffin, Alicia; Andersson, Nils; Storm, Per; Tilliander, Anders; Jönsson, Pär G.

doi:10.1016/j.resconrec.2016.09.024

Cited by 9 publications

(12 citation statements)

References 21 publications

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“…The calculation methods to obtain the input data are described in a previous study [29]. The models in this study assess the in-use stock of steel (θ), societal steel scrap reserve (ω), and losses (γ) representing L1-L6 shown in the material flow in Figure 1.…”

Section: System Boundary and Definitionsmentioning

confidence: 99%

“…In a previous study, a newly developed statistical method for the annual evaluation of recycling rates in material flows called the Progressing and Backcasting models was established to enable a consistent analysis of resource utilizations [28,29]. The newly developed Dynamic Material Flow Models (DMFM) are solely based on input data on the material consumption and material collection.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the model can be used to calculate the service lifetime and the time period the steel is redundant on an annual basis. In the current study, the parameters of the lifetime of steel, recycling rate, and in-use steel stock are output data [28,29]. In previous studies, these parameters are input data for the models [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

“…The newly developed method can only be applied on consistent data series of the material consumption and material collection. The model description, methodology, and the input data used in the models were presented in previous studies [28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

“…This indicates that the steel scrap collection cannot be at any target level without reducing the lifetime performance of steel in society. The input data used in the models are described in a previous study [29].…”

Section: Introductionmentioning

confidence: 99%

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The Global Societal Steel Scrap Reserves and Amounts of Losses

et al. 2016

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Abstract: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.

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Section: System Boundary and Definitionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%