Journal
JOURNAL OF CLEANER PRODUCTION
Volume 80, Issue -, Pages 241-251Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2014.05.085
Keywords
Probabilistic fate analysis; Engineered nanoparticles; Dynamic fate analysis; Material flow model; Incineration plant
Categories
Funding
- European Commission [227078, 604305]
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Worldwide waste is increasing and can contain engineered nanoparticles (ENP) made from almost the entire spectrum of the periodic table. An increasing amount of waste (including nanowaste) is incinerated. A full-scale experiment in a modern waste incineration plant showed that even inert nanoparticles (nano-CeO2) are successfully removed from the flue gas and transferred to the solid incineration residues. Predicting the fate of nanomaterials in incineration plants with models based on real measurements would reduce the immense efforts (time and resources) for real-scale experiments. Here, we develop a model for the ENP fate in incineration plants, based on the data of the nanoCeO(2)-experiment. We investigated all possible transfers and sinks of ENP throughout the incineration by linking ENP concentration measurements to the nanomaterial flows and retention times. The model also delivers information on the associated uncertainties and how they propagate through the incineration system by using a fully probabilistic material flow analysis. The model can be generalized to other ENP and also to other incineration plants. We show that the output of the measurements was consistent albeit relying on multiple measurement methods, and that a one day sampling period is sufficient to obtain an overview on the fate of nanoparticles in incineration plants. In addition to the dynamic results, a generalized steady state mass flow with transfer factors is provided and can be used for modeling purposes of CeO2 or other nano sized metals with similar physic-chemical properties. (C) 2014 Elsevier Ltd. All rights reserved.
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