Potentiale zur energetischen Nutzung von Biomasse in der ... - EPFL
Potentiale zur energetischen Nutzung von Biomasse in der ... - EPFL
Potentiale zur energetischen Nutzung von Biomasse in der ... - EPFL
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180<br />
Estimation of the biomass volume available for energy use<br />
Hav<strong>in</strong>g calculated the actual <strong>in</strong>-stand volume and annual <strong>in</strong>crement of biomass at each pixel it is now<br />
important to estimate the proportion of the total harvestable amount of biomass which could be used<br />
for specific energy needs. Accord<strong>in</strong>g to the WSL classification (WSL 2003) the follow<strong>in</strong>g types of trees or<br />
parts thereof could be used for energy purposes (Table 47).<br />
Species type Category Diameter<br />
Availability<br />
for energy use<br />
Coniferous logwood 10 – 69 cm 13%<br />
brushwood and wood residues < 10 cm 100%<br />
Deciduous logwood 30 – 69 cm 19%<br />
logwood 10 – 29 cm 100%<br />
brushwood and wood residues < 10 cm 100%<br />
Table 47 Availability of trees for energy use. Source: WSL 2003.<br />
Know<strong>in</strong>g the characteristics of each forest stand as regards repartition of trees by species group and<br />
diameter, one can estimate the proportion of annual biomass <strong>in</strong>crement that could be used for energy<br />
at each pixel. As a result of all methodological steps described above, each pixel conta<strong>in</strong><strong>in</strong>g the<br />
exploitable forestry plantations should be assigned with a certa<strong>in</strong> volume of fresh biomass that could be<br />
harvested annually for energy use.<br />
Generalised approach<br />
In case the detailed data on <strong>in</strong>dividual forest stands are miss<strong>in</strong>g, a more generalised approach for<br />
estimation of potentially available volume of energy biomass can be applied. Accord<strong>in</strong>g to this approach,<br />
<strong>in</strong> the first <strong>in</strong>stance, the predom<strong>in</strong>ant species group should be determ<strong>in</strong>ed for each pixel belong<strong>in</strong>g to<br />
the exploitable forestry plantations. This can be done on the basis of the GEOSTAT dataset “Variety of<br />
Swiss Forests” (SFSO 2001) which dist<strong>in</strong>guishes four ma<strong>in</strong> types of forests subject to the percentage of<br />
coniferous species (Table 48).<br />
If possible, more precise data on respective percentage of coniferous/deciduous species should be<br />
gathered. Otherwise, some averaged values should be chosen <strong>in</strong> or<strong>der</strong> to decide about the repartition <strong>in</strong><br />
specific locations of trees of particular species groups.<br />
Forest type Percentage of coniferous species<br />
Coniferous forest 90–100%<br />
Predom<strong>in</strong>antly coniferous forest 50–90%<br />
Predom<strong>in</strong>antly deciduous forest 10–50%<br />
Deciduous forest 0–10%<br />
Table 48 Forest types <strong>in</strong> GEOSTAT dataset “Variety of Swiss Forests“. Source: GEOSTAT (OFS 2001).<br />
Next the annual <strong>in</strong>crement of biomass at each pixel should be calculated by multiply<strong>in</strong>g the surface<br />
occupied with specific tree species by the respective annual growth rates (Table 42). F<strong>in</strong>ally an averaged<br />
factor of biomass availability for energy needs for each species group should be specified. It could be<br />
estimated from any representative sample dataset or bas<strong>in</strong>g on expert judgements. As a reference the<br />
SFOS/SAEFL (2003) data could be taken, accord<strong>in</strong>g to which the share of energy wood <strong>in</strong> total<br />
<strong>in</strong>digenous timber production is estimated approximately at 20%.