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Technical Development of Waste Sector in Sweden: Survey

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MASTER’S THESIS IN ENVIRONMENTAL STRATEGIES RESEARCH<br />

5.3.4 Assumptions and Limitations<br />

The follow<strong>in</strong>g assumptions have been made dur<strong>in</strong>g the LCA model development:<br />

• For both scenarios, transportation <strong>of</strong> waste has been ignored by assum<strong>in</strong>g that<br />

transportation distance for waste is same for both treatment plants.<br />

• Average energy data is considered for the model assum<strong>in</strong>g the similar impact on the<br />

model for the two processes. Average data are taken for <strong>Sweden</strong> context.<br />

• Data is based on UK’s waste treatment facilities. However, we assume that electricity that<br />

is consumed by the systems will be quite similar with the Swedish perspective, so<br />

electricity consumed by system is assumed to come from the Swedish national grid<br />

(medium voltage).<br />

• CO 2 data for P-G is assumed to be same as <strong>in</strong>c<strong>in</strong>eration <strong>of</strong> MSW because same waste type<br />

with same carbon content would be combusted <strong>in</strong> the two different processes. This<br />

assumption is made due to the lack <strong>of</strong> carbon data for P-G process.<br />

5.3.5 Life Cycle Inventory Analysis<br />

Life cycle <strong>in</strong>ventory <strong>of</strong> the LCA model is made based primarily on the literature, report and<br />

publications and some <strong>of</strong> the important papers are DEFRA (2004), Feo et al., (2003), Bridgwater<br />

(1994), NSCA (2002), Halton EFW Bus<strong>in</strong>ess Case (2007), Cherub<strong>in</strong>i et al., (2008), F<strong>in</strong>nveden et<br />

al., (2000), Circeo (2009), Khoo (2009). LCA Model has been developed based on the <strong>in</strong>flowoutflow<br />

material data that are available from the reference sources. It is important to understand<br />

and decipher the data quality and reliability <strong>of</strong> the data while develop<strong>in</strong>g a comparative model. It<br />

should be asserted that, the mountable data for P-G process is not available <strong>in</strong> <strong>Sweden</strong> s<strong>in</strong>ce,<br />

there are no P-G plants <strong>in</strong> large projects <strong>in</strong> <strong>Sweden</strong>. However, the data gathered for the LCA<br />

model is quite effective for develop<strong>in</strong>g LCA model s<strong>in</strong>ce data for LCA is not adversely available<br />

for emerg<strong>in</strong>g technologies.<br />

Data Analysis<br />

In the LCA model <strong>of</strong> Pyrolysis-Gasification, the <strong>in</strong>put data is takenas waste resource (1 ton<br />

MSW), energy (electricity kWh/ton <strong>of</strong> MSW), emission (gm/T) <strong>in</strong> air, soil or waster, Energy<br />

generation (kWh/ton <strong>of</strong> MSW) and residue (kg/ton) produced by the facilities. Most <strong>of</strong> the data<br />

that is used for the LCA model is based on the waste composition <strong>in</strong> UK. Typical waste<br />

composition is shown <strong>in</strong> the appendix Table A1. Both technologies require startup energy and<br />

both generates energy from the waste treatment facilities and f<strong>in</strong>al residues are generated from<br />

the processes. Table 8 shows the Inflow-outflow energy and solid waste from the processes.<br />

Table 8: Input-output (energy and residue) <strong>in</strong> different MSW treatment processes<br />

Input/output Pyrolysis-Gasification Inc<strong>in</strong>eration<br />

Start-up energy (kWh/T) 339.3 (3) 77.8 (1)<br />

Energy generated(kWh/T) 685 (4) 544 (4)<br />

Solid residue (kg/T) 19.6 (3) 180 (2)<br />

(1) F<strong>in</strong>nveden et al., (2000), (2) DEFRA (2004) , (3) Khoo(2009), (4) Circeo<br />

(2009)<br />

KUNGLIGA TEKNISKA HÖGSKOLAN<br />

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