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SUbstance flow analysis of the recycling of small waste electrical ...

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66 Substance <strong>flow</strong> <strong>analysis</strong> <strong>of</strong> <strong>the</strong> <strong>recycling</strong> <strong>of</strong> <strong>small</strong> WEEE<br />

EITO published data on sales <strong>of</strong> desktop computers between 2003 and 2007 that were<br />

reproduced by IVF (2007). Like for mobile phones, <strong>the</strong> sales data for <strong>the</strong> previous years were<br />

assumed to be proportional to <strong>the</strong> sales <strong>of</strong> personal computers in <strong>the</strong> USA.<br />

Data on penetration rates <strong>of</strong> mobile phones and personal computers in <strong>the</strong> USA and in<br />

Germany are supplied by BITKOM (2007). In 2006, <strong>the</strong> penetration rates for personal<br />

computers amounted to 45% in Germany and 89% in <strong>the</strong> USA (related to <strong>the</strong> number <strong>of</strong><br />

inhabitants, not to <strong>the</strong> number <strong>of</strong> households), whereas <strong>the</strong> penetration rates for mobile<br />

phones amount to 104% in Germany and to 76% in <strong>the</strong> USA. These numbers were multiplied<br />

by <strong>the</strong> population in both countries and divided by <strong>the</strong> total lifetime to estimate <strong>the</strong> <strong>the</strong>oretical<br />

<strong>waste</strong> generation (Table 13).<br />

Table 13<br />

Generation <strong>of</strong> end-<strong>of</strong>-life mobile phones, desktop personal computers and CRT monitors<br />

in <strong>the</strong> USA and in Germany estimated with three different methods (in tonnes)<br />

Country Equipment group Total<br />

lifetime<br />

Simple delay<br />

Distribution<br />

delay<br />

Batch<br />

leaching<br />

Germany Mobile telephone 6 years 2 169 2 273 2 817<br />

Desktop personal computer 9 years 43 827 39 957 50 097<br />

USA Mobile telephone 6 years 16 197 14 916 7 532<br />

Desktop personal computer 9 years 335 051 305 995 362 511<br />

Table 13 shows that <strong>the</strong> ‘batch leaching’ method mostly leads to a higher estimate <strong>of</strong> <strong>the</strong><br />

<strong>waste</strong> generation than <strong>the</strong> o<strong>the</strong>r two methods (except for mobile phones in <strong>the</strong> USA, maybe<br />

because <strong>of</strong> insufficient accuracy <strong>of</strong> <strong>the</strong> data used for <strong>the</strong> calculation). This is due to <strong>the</strong><br />

market dynamics (Wen et al. 2009). If <strong>the</strong> stocks <strong>of</strong> EEE in households and businesses are<br />

increasing, i.e. if less WEEE is discarded than new EEE is bought, <strong>the</strong> current stock is not a<br />

reliable indicator <strong>of</strong> <strong>the</strong> <strong>waste</strong> generation. O<strong>the</strong>r researchers mention that <strong>the</strong> ‘batch leaching’<br />

method is not appropriate for dynamic markets (Table 6). The methods ‘simple delay’ and<br />

‘distribution delay’ delivered comparable results (difference <strong>small</strong>er than 10%).<br />

Insufficient sales data were available to apply <strong>the</strong> methods ‘simple delay’ and ‘distribution<br />

delay’ for <strong>the</strong> o<strong>the</strong>r equipment groups. The method ‘batch leaching’, in spite <strong>of</strong> its<br />

disadvantages (above all overestimation <strong>of</strong> <strong>the</strong> generation when <strong>the</strong> stock is increasing and<br />

underestimation when <strong>the</strong> stock is decreasing) and <strong>the</strong> high uncertainties, was used to<br />

estimate <strong>the</strong> generation for <strong>the</strong> o<strong>the</strong>r equipment groups. In total, <strong>the</strong> calculations using <strong>the</strong><br />

‘batch leaching’ method show that around 330 000 tonnes <strong>of</strong> sWEEE were generated in<br />

Germany in 2007, and around 2 700 000 tonnes in <strong>the</strong> USA. The detailed results and <strong>the</strong><br />

assumptions are presented in Appendix 5.

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