Waste Management & Research
30(7) 645–655
© The Author(s) 2012
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DOI: 10.1177/0734242X12442740
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Introduction
Metals in municipal solid waste
Municipal solid waste (MSW) and products from mechanical
treatment (MT) or mechanical biological treatment (MBT) of
MSW are commonly known to be very heterogeneous materials
and difficult to analyse. Heterogeneity results from the enormous
variability of disposed products comprised in MSW. In particular,
heavy metal contents vary extremely since individual products
(often such, which irregularly occur in MSW) are highly concen-
trated in these elements. Cables, brass made shower hoses, stain-
less kitchenware, electric or electronic devices, etc. which scarcely
occur in MSW contain high amounts of heavy metals in metallic
species, either pure (e.g. Cu as electric conductor material) or as
major components in alloys (brass, stainless steel, etc.). Also many
other consumer goods which are regularly collected via MSW con-
tain tiny pieces of metallic components. Examples are: clothes or
bags with zippers (brass or zinc casting alloys), toys with metallic
drive mechanisms (brass made cogwheels), disposable razors
(stainless razor blade), curtains with lead-weighted hems etc.
(common applications of the chemical elements in consumer
goods are listed in Vassilev and Braekman-Danheux (1999)).
Products of linear shape (cables, shower hoses, etc.) or textiles and
plastics containing small metallic components may be transferred
into high calorific value fractions, since they can hardly be removed
by magnetic or eddy current separation techniques. (Note, that
common practice of M(B)T is addressed here, which comprises
rough shredding, screening or ballistic separation, magnetic sepa-
ration and in some cases eddy current separation).
Specification of heterogeneity,
terminology
In terms of sampling theory, heterogeneity arising from different
analyte contents among ‘constituents’ (individual pieces) is
defined as constitutional heterogeneity CH
L
(Gy, 1992). CH
L
Metals in RDF and other high calorific
value fractions from mechanical treatment
of MSW: analysis and sampling errors
Stefan Skutan and Paul H Brunner
Abstract
RDF and other high calorific value fractions derived from MSW by mechanical treatment processes contain goods such as cans,
cables, zippers or batteries which are highly concentrated in metals. The objective of this study was to investigate the importance of
these metal carriers (i) for total metal loads and (ii) for sampling errors. Six different products derived from MSW were analysed for
carrier bound and total loads of Al, Cd, Cr, Cu, Fe, Ni, Pb and Zn. Sophisticated sample preparation procedures were applied in order
to quantify the separate analyte loads from metallic carriers. Typical values for total metal contents and shares of carrier bound loads
were found as follows: Al, 20 g kg
−1
(30%); Cr, 0.4 g kg
−1
(50%); Cu, 5 g kg
−1
(80%); Fe, 40 g kg
−1
(80%); Ni, 0.15 g kg
−1
(70%);
Pb, 0.4 g kg
−1
(40%); and Zn, 2 g kg
−1
(30%). NiCd-batteries were found in three materials representing 30–70 % of total Cd contents
(total 6–20 mg kg
−1
). Sampling errors related to the distribution of analyte carriers were in most cases found in the range of 50–150
% relative standard deviation in spite of the large sample masses of 200–800 kg. The results demonstrate: (1) metal carriers are
responsible for significant analyte loads; if they are not adequately considered, total metal contents may be severely underestimated;
(2) sampling errors are dominated by the distribution of carriers; (3) correct analysis of total metal contents including loads from
metallic components requires expensive sample preparation.
Keywords
High calorific value fraction, refuse derived fuel, heavy metals, sampling errors, sample preparation, mechanical treatment, waste
characterization, analysis
Institute for Water Quality, Resource and Waste Management, Vienna
University of Technology, Vienna, Austria
Corresponding author:
Stefan Skutan, Fritz-Weigl-Gasse 1a, 3423 St. Andrae-Woerdern,
Austria
Email: stefanskutan@aon.at
442740WMR 30 7 10.1177/0734242X12442740Skutan and BrunnerWaste Management & Research
2012
Original Article