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POTENTIAL OF SENSOR-BASED SORTING IN ENHANCED LANDFILL MINING

  • Bastian Küppers - Montanuniversitaet Leoben, Austria
  • Juan Carlos Hernández Parrodi - New-Mine project, Renewi Belgium SA/NV, Belgium - Department of Environmental and Energy Process Engineering, Montanuniversitat Leoben, Austria
  • Cristina Garcia Lopez - Institut für Aufbereitung und Recycling, RWTH Aachen University, Germany
  • Roland Pomberger - Chair of waste processing technology and waste management, Montanuniversitat Leoben Department fur Umwelt- und Energieverfahrentechnik, Austria
  • Daniel Vollprecht - Montanuniversitaet Leoben, Austria

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DOI 10.31025/2611-4135/2019.13875

Released under CC BY-NC-ND

Copyright: © 2019 CISA Publisher

Abstract

In landfill mining, simple technologies and processing chains are frequently applied to excavated material in order to extract recyclable metals and high-calorific fractions used in energy recovery. Sensor-based sorting is one way to extract more and better material from a landfill. Two testing series have been performed using state-of-the-art technology to assess the technical feasibility of classifying and sorting landfill material with the aid of near-infrared spectroscopy. Fractions were classified as inert and combustible and sorted by particle sizes ranging from 90-30 mm, from 30-10 mm and from 10-4.5 mm for water content levels of 0 wt% and of 15 wt%, respectively. Additional tests applied different landfill mining materials. Polypropylene (PP), polyethylene (PE) and polyvinyl chloride (PVC) products were produced, using sensor-based sorting, from a mixed fraction of particle sizes ranging from 60-200 mm. Both test series applied air-classified heavy fractions gained from two distinct processing schemes of landfill mining projects in Belgium and in Austria. Results show that the separation and classification of inerts and combustibles is feasible, enriching inert fractions with purities of 97.7 wt% to 99.6 wt% derived from inputs whose inert contents achieved 85.6 to 98.8 wt%. Efficient sorting is a function of the level of pre-processing, water content, relative amounts of adhesive fines, input composition and particle size ranges of the input material. Results from the second test series show that PP, PE, PVC and other materials can be successfully distinguished, achieving correct classification and ejection into respective product fractions of 91.8-99.7 wt%.

Keywords

Editorial History

  • Received: 27 May 2019
  • Revised: 26 Jul 2019
  • Accepted: 19 Aug 2019
  • Available online: 23 Dec 2019

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