Establishing a sub-sampling plan for waste-derived solid recovered fuels (SRF): Effects of shredding on representative sample preparation based on theory of sampling (ToS)

Dry dechlorination of solid-derived fuels obtained from food waste and polyvinyl chloride

Solid-recovered fuels (SRFs) with low chlorine (Cl) contents are urgently needed, particularly considering the limited availability of energy resources globally. Two main sources of chlorinated pollution in municipal solid wastes, namely food waste and polyvinyl chloride (PVC), were used as raw materials for SRF production. These materials were dechlorinated using alkaline adsorbents (calcium hydroxide (Ca(OH)₂) and sodium bicarbonate (NaHCO₃)), yielding five sample SRFs. The SRFs had low heating values (LHVs) of 14.10-15.12 MJ/kg. The alkaline adsorbents were introduced during dry dechlorination, which increased the LHVs by 8.4 MJ/g. Approximately 50 % of the total Cl content was transformed into the liquid and gaseous phases after incineration of the SRF. The PVC content was increased to increase the amount of gaseous Cl produced. Conversely, the yields of liquid and solid Cl increased when the FW content was increased. Among alkaline adsorbents, Ca(OH)₂ exhibited better adsorption performance than NaHCO₃. Upon mixing ~15 wt% of Ca(OH)₂ with the SRFs, the highest Cl removal efficiency (77 %) in the gaseous phase was achieved. Over 90 % of the total Cl content was converted into solid-phase calcium chloride and sodium chloride by the alkaline adsorbents. The total cost of the SRF was US$85.48/t, of which labor and electricity costs accounted for 50 % and 25 %, respectively.

Real time material flow monitoring in mechanical waste processing and the relevance of fluctuations

To achieve the goals of the circular economy, significant improvements in non-hazardous solid waste processing/treatment must be made. Large deficits in the digitalization of mechanical waste treatment plants (smart waste factory) offer great potential for improvement. Real-time material flow monitoring is carried out in very few plants, thus wasting considerable potential for improving plant performance. This article describes results from the authors' own practical analyses using sensor-based technologies for monitoring material flows, an on-site investigation in a large waste treatment plant and also in a pilot-scale plant (Technical Line 4.0) using mixed commercial waste (MCW) from Austria. The obtained data shows that the quantitative monitoring of volume and mass flow (via laser triangulation as well as near-infrared (NIR) based monitoring) and material composition (NIR sensor) is possible. The observed fluctuations were categorised in short-, mid- and long-term fluctuations and were led back to their causes, i.e. discontinuous feeding process, material and machine-specific characteristics. Using the quotient of the 90% (Q90) and 10% (Q10) quantiles of time-resolved volume-flow data for the assessment of fluctuations, for the considered time-intervals, resulted in Q90 / Q10 ratios between 3.39 and 4.58. If short-term fluctuations (within the observed time-intervals) are related to the 29.6 s moving average, deviations between 1.8% and 6.8% result. To verify the relevance of such fluctuations, sensor-based sorting (SBS) experiments were conducted, revealing a reduced product purity of 6% due to short-term fluctuations in the feed of the SBS-Machine using light packaging waste (LPW).