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Editor in Chief: RAFFAELLO COSSU

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

DOI 10.31025/2611-4135/2019.13875

Released under CC BY-NC-ND

Copyright: © 2019 CISA Publisher

Editorial History

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

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


References

Beel, H.: Sortierung von schwarzen Kunststoffen nach ihrer Polymerklasse mit Hyperspectral-Imaging-Technologie. In: Thomé-Kozmiensky, K. J: Berliner Recycling- und Rohstoffkonferenz 2017

Breitenstein, A; Kieckhäfer, K; Spengler, T.: TönsLM – Rückgewinnung von Wertstoffen aus Siedlungsabfall- und Schlackendeponien. In: Recycling und Rohstoffe, Band 9. 2016

Danthurebandara, M.; van Passel, S.; Vanderreydt, I.; van Acker, K.: Assessment of environmental and economic feasibility of Enhanced Landfill Mining. In: Waste management (New York, N.Y.) 45. 2015. S. 434–447.
DOI 10.1016/j.wasman.2015.01.041

García López, C.; Küppers, B.; Clausen, A.; Pretz, T.: Landfill Mining. A case study regarding sampling, processing and characterization of excavated waste from an Austrian landfill. In: Detritus 2, 2018. S. 29.
DOI 10.31025/2611-4135/2018.13664

García López, C.; Ni, A.; Hernandez Parrodi, J.; Küppers, B.; Raulf, K.; Pretz, T.: Characterization of landfill mining material after ballistic separation to evaluate material and energy recovery. In: Detritus 8, 2019

Gundupalli, S.; Hait, S.; Thakur, A.: A review on automated sorting of source-separated municipal solid waste for recycling. In: Waste management (New York, N.Y.) 60. 2017. S. 56–74.
DOI 10.1016/j.wasman.2016.09.015

Hernández Parrodi J.C.; Raulf K.; Vollprecht D.; Pretz T.; Pomberger R.: Case study on enhanced landfill mining at MSG landfill in Belgium: Mechanical processing of fine fractions for material and energy recovery. In: Detritus 8, 2019

Jones, P.; Geysen, D.; Tielemans, Y.; van Passel, S.; Pontikes, Y.; Blanpain, B.: Enhanced Landfill Mining in view of multiple resource recovery. A critical review. In: Journal of Cleaner Production 55. 2013. S. 45–55.
DOI 10.1016/j.jclepro.2012.05.021

Kieckhäfer, K.; Breitenstein, A.; Spengler, T.: Material flow-based economic assessment of landfill mining processes. In: Waste management (New York, N.Y.) 60. 2017. S. 748–764.
DOI 10.1016/j.wasman.2016.06.012

Krook, J.; Svensson, N.; Eklund, M.: Landfill mining. A critical review of two decades of research. In: Waste management (New York, N.Y.) 32 (3). 2012. S. 513–520.
DOI 10.1016/j.wasman.2011.10.015

Mor, S.; Ravindra, K.; de Visscher, A.; Dahiya, R.; Chandra, A.: Municipal solid waste characterization and its assessment for potential methane generation. A case study. In: The Science of the total environment 371 (1-3). 2006. S. 1–10.
DOI 10.1016/j.scitotenv.2006.04.014

Pomberger, R.; Küppers, B. (2017): Entwicklungen in der sensorgestützten Sortiertechnik. In: Österreichische Abfallwirtschaftstagung 2017

Pretz, T.; Julius, J.: Stand der Technik und Entwicklung bei der berührungslosen Sortierung von Abfällen. In: Österreichische Abfallwirtschaftstagung 60 (7-8). 2008. S. 105–112

Quaghebeur, M.; Laenen, B.; Geysen, D.; Nielsen, P.; Pontikes, Y.; van Gerven, T.; Spooren, J.: Characterization of landfilled materials. Screening of the enhanced landfill mining potential. In: Journal of Cleaner Production 55. 2013. S. 72–83.
DOI 10.1016/j.jclepro.2012.06.012

Rotheut, M.; Quicker, P.: Energetic utilisation of refuse derived fuels from landfill mining. In: Waste management (New York, N.Y.) 62. 2017. S. 101–117.
DOI 10.1016/j.wasman.2017.02.002

Sormunen, K.; Ettala, M.; Rintala, J.: Detailed Internal Characterisation of Two Finnish Landfills by Waste Sampling. In: Waste management (New York, N.Y.) 28. 2008.
DOI 10.1016/j.wasman.2007.01.003

Wolfsberger, T., Aldrian, A., Sarc, R., Hermann, R., Höllen, D., Budischowsky, A., Zöscher, A., Ragoßnig, A. & Pomberger, R.: LANDFILL MINING: Resource potential of Austrian landfills – Evaluation and quality assessment of recovered MSW by chemical analyses. In: Waste Management & Research, 2015. S. 962-974.
DOI 10.1177/0734242X15600051

Wörrle, J.: Immer mehr Bauabfälle: Deponien am Limit. In: DeutscheHandwerksZeitung. 2018

Zhou, C.; Fang, W.; Xu, W.; Cao, A.; Wang, R.: Characteristics and the recovery potential of plastic wastes obtained from landfill mining. In: Journal of Cleaner Production 80. 2014. S. 80–86.
DOI 10.1016/j.jclepro.2014.05.083



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