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Using information of the separation process of recycling scrap tires for process modelling

Author

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  • Pehlken, A.
  • Müller, D.H.

Abstract

Modelling recycling processes is a challenge because there is few specific data available. Various materials are firmly connected to each other that makes an ideal separation success nearly impossible. Scrap tire recycling is discussed as the case study with respect to some of the main key processes such as crushing, grinding and sieving. Useful information can be accumulated with data received from particle size distribution. Assessing the information of the separation for modelling purposes with the availability of data ranges and identifying uncertainties is the focus of the article. Modelling recycling processes and the assessment of uncertainty are firmly connected, otherwise the model provides a lack of reliability due to parameter uncertainties. Modelling a recycling process the known and unknown uncertainties become important parameters to consider. Due to the fact that residues as scrap tires always vary in their composition and material flows only data ranges can be used as input parameter.

Suggested Citation

  • Pehlken, A. & Müller, D.H., 2009. "Using information of the separation process of recycling scrap tires for process modelling," Resources, Conservation & Recycling, Elsevier, vol. 54(2), pages 140-148.
    • Handle: RePEc:eee:recore:v:54:y:2009:i:2:p:140-148
    DOI: 10.1016/j.resconrec.2009.07.008
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    References listed on IDEAS

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    1. Xu, Y. & Huang, G.H. & Qin, X.S. & Cao, M.F., 2009. "SRCCP: A stochastic robust chance-constrained programming model for municipal solid waste management under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 53(6), pages 352-363.
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    Cited by:

    1. Simic, Vladimir & Dimitrijevic, Branka, 2013. "Risk explicit interval linear programming model for long-term planning of vehicle recycling in the EU legislative context under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 73(C), pages 197-210.
    2. Thomas Hennequin & Mark A. J. Huijbregts & Rosalie van Zelm, 2023. "The influence of consumer behavior on the environmental footprint of passenger car tires," Journal of Industrial Ecology, Yale University, vol. 27(1), pages 96-109, February.

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