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Quality assurance plays an important role for the production and utilization of solid recovered fuels (SRF) generated from municipal solid and production waste.
The quality control is currently done by regular sampling of the SRF and chemical analysis of the samples in an extern laboratory (Offline-Analytic). However, since the chemical analysis results have a time lag of several days; it is not possible to regulate the SRF’s quality during processing.
Near infrared technology (NIR) allows the identification of the type of material, particle surface area and moisture content. By linking detected material types with specific material properties such as; calorific value, chlorine content, ash content, etc. it is possible tocal culate these relevant parameters for a total SRF in real time.
The Company TOMRA Sorting GmbH developed a NIR-based real-time analytic system for solid recovered fuels (NIR-RTA system). This system has been developed continuously since 2010 through different cooperative research projects at the Institute for Water • Resources • Environment (IWARU) at the Münster University of Applied Sciences. The main point of this research project is to investigate relevant calorific material categories of SRF as well as determining the accuracy and optimization of the NIR-RTA system.
The following study gives an overview of how the NIR-RTA systemworks and shows results of an investigation on the system accuracy in a large technical scale.
|Copyright:||© TK Verlag - Fachverlag für Kreislaufwirtschaft|
|Source:||Waste Management, Volume 5 (December 2015)|
|Autor:||M.Sc. Peter Krämer|
Prof. Dr.-Ing. Sabine Flamme
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