Modeling and Assessment of Recovered Paper Separation in Automatic and Manual Sorting, 2016 Pulping, Engineering, Environmental, Recycling, Sustainability (PEERS) Conference Proceedings

Paper for recycling is typically sorted after collection and before being delivered to paper mills. The sorting in such plants effects the quality of the raw material for recycled paper significantly and during the last years enormous progress in sorting technologies has been made by introducing near infrared or visible spectrum wavelength based sorting processes. A systematic investigation and optimization of such sorting processes is difficult since up to today no standard for systematic sampling of such heterogeneous materials like paper for recycling is available and technical models for the processes used in sorting plants are also missing.

This paper presents an approach for statistically sound sampling of paper for recycling and for modeling the unit operations for paper sorting with the help of industrial data. The models can be used in flow sheet simulations of exemplary paper sorting plants. The results of the simulations allow an assessment or the improvement of paper sorting scenarios. The tools developed can be used for optimizing sorting plants or predicting the effect of new machines on the quality of the sorted material. 

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