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|Title:||Biogenic carbon-enriched and pollutant depleted SRF from commercial and pretreated heterogeneous waste generated by NIR sensor-based sorting||Authors:||Pieber, Simone M.
|Keywords:||Solid recovered fuel;biogenic carbon;near infrared;sensor-based sorting;material-specific waste processing;pretreated waste;commercial solid waste;refuse-derived fuel||Issue Date:||2012||Publisher:||Sage||Source:||In: Waste Management & Research, 30(4), 381-391||Journal:||Waste Management and Research||Abstract:||Mechanical processing using predominantly particle size and density as separation criteria is currently applied in the production of solid-recovered fuel or refuse-derived fuel. It does not sufficiently allow for the optimization of the quality of heterogeneous solid waste for subsequent energy recovery. Material-specific processing, in contrast, allows the separation criterion to be linked to specific chemical constituents. Therefore, the technical applicability of material-specific sorting of heterogeneous waste, in order to optimize its routing options, was evaluated. Two sorting steps were tested on a pilot and a large scale. Near infrared multiplexed sensor-based sorting devices were used (1) to reduce the chlorine (Cl) respectively pollutant content, in order to broaden the utilization options of SRF in industrial co-incineration, and (2) to increase the biogenic carbon (Cbio) content, which is highly relevant in the light of the EU emission trading scheme on CO2. It was found that the technology is generally applicable for the heterogeneous waste fractions looked at, if the sensor systems are appropriately adjusted for the sorting task. The first sorting step allowed for the removal of up to 40% of the Cl freight by separating only 3 to 5% of the material mass. Very low Cl concentrations were achieved in the output stream to be used as solid-recovered fuel stream and additionally, the cadmium (Cd) and lead (Pb) concentration was decreased. A two- to four-fold enriched Cbio content was achieved by the second sorting step. Due to lower yields in the large-scale test further challenges need to be addressed.||URI:||http://hdl.handle.net/20.500.11790/1419||ISSN:||0734-242X||DOI:||10.1177/0734242X12437567||Rights:||info:eu-repo/semantics/closedAccess|
|Appears in Collections:||Energie-Umweltmanagement|
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