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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trees of large diameter that could not be extracted from forest stands by less costly drugg<strong>in</strong>g by soil<br />
procedure. Accord<strong>in</strong>g to this technique the trees are felled by cha<strong>in</strong> saw and moved out from forest<br />
stand by cable crane to the maximum allowable distance of 600 m. The assortment of timber qualified<br />
as energy wood is further transported by truck to the end-use facility where it is chopped by a large-size<br />
chipper. The costs <strong>in</strong>curred through the use of this technique are given <strong>in</strong> Table 50. Here aga<strong>in</strong> the costs<br />
of fell<strong>in</strong>g/extraction of trees are not <strong>in</strong>cluded, s<strong>in</strong>ce they were allocated to other timber assortments<br />
(construction and <strong>in</strong>dustry wood).<br />
Estimation of the presented cost range for supply of the chopped wood us<strong>in</strong>g different technology<br />
options was made by WSL based on <strong>in</strong>terviews with relevant forest enterprises ma<strong>in</strong>ly <strong>in</strong> the Germanspeak<strong>in</strong>g<br />
part of Switzerland. It is expected that these costs could be decreased as an effect of<br />
rationalisation achievable through higher degree of work mechanisation, advancement <strong>in</strong> harvest<strong>in</strong>g<br />
mach<strong>in</strong>ery technology and lower<strong>in</strong>g of overall transaction costs due to centralised purchase and bigger<br />
consumption volume. For the first prototype GIS model estimate it was decided to use the average<br />
values given <strong>in</strong> the respective column of Table 50. These data could be further adjusted based on<br />
practical <strong>in</strong>formation from the forestry entrepreneurs <strong>in</strong> specific regions of Switzerland.<br />
S<strong>in</strong>ce the presented costs of biomass harvest<strong>in</strong>g are given <strong>in</strong> relation to the volume of chopped wood<br />
(Sm 3 ), therefore an appropriate conversion factor should be applied. Accord<strong>in</strong>g to the data of<br />
Holzenergie Schweiz (2003) this factor is equal to 2.8 Sm 3 per one cubic meter either of res<strong>in</strong>ous wood<br />
(spruce/fir) or deciduous species (beech).<br />
Another important <strong>in</strong>dicator to be taken <strong>in</strong>to account while estimat<strong>in</strong>g the biomass farm-gate prices per<br />
energy unit is the energy content of different types of biomass. The value of this <strong>in</strong>dicator is highly<br />
dependent on the humidity of wood, which <strong>in</strong> turn depends on the time of harvest<strong>in</strong>g, and it also<br />
significantly varies across different species. In the WSL 2003 study the follow<strong>in</strong>g values (Table 51) are<br />
proposed to measure the energy content of different types of biomass (coniferous trees, deciduous<br />
trees, wood residues) at different physical states (fresh wood, wood dried <strong>in</strong> summer, technically dried<br />
wood).<br />
Type of biomass<br />
Moisture content (atro)<br />
100% (fresh wood) 50% (summer dried) 25% (technically dried)<br />
Res<strong>in</strong>ous wood 500 600 650<br />
Deciduous wood 850 950 1000<br />
Wood residues 425 525 575<br />
Table 51 Energy content of ma<strong>in</strong> types of biomass (kWh/Sm 3 ). Source: WSL 2003.<br />
The calculation results of the biomass farm-gate prices could be presented <strong>in</strong> the form of a thematic<br />
map show<strong>in</strong>g the amounts of available energy biomass resources (<strong>in</strong> Sm 3<br />
) and its respective farm-gate<br />
prices (per Sm 3 or per kWh) across different forestry sites with<strong>in</strong> a given region.<br />
10.2.3 Marg<strong>in</strong>al price of delivered biomass<br />
In the operation cost of generic woody biomass energy <strong>in</strong>stallation the cost of biomass transportation<br />
may represent a significant portion of the overall cost of the biomass feedstock. Consi<strong>der</strong><strong>in</strong>g the<br />
possible disparities <strong>in</strong> the biomass farm-gate prices across different forest exploitations and vary<strong>in</strong>g<br />
remoteness of the biomass sources from projected energy facility’s site, the price of delivered biomass<br />
feedstock could vary significantly depend<strong>in</strong>g on the specified location of the energy <strong>in</strong>stallation. In such<br />
a way, the cost of delivered biomass feedstock may become a decisive factor while mak<strong>in</strong>g decisions<br />
about the deployment of a biomass fuelled energy facility and choos<strong>in</strong>g its optimal location.<br />
To tackle this issue it is proposed to employ a special GIS model methodology that would make possible<br />
the assessment of cost of the delivered biomass feedstock based on the marg<strong>in</strong>al price method (Noon et<br />
al., 2002). Such a methodology allows for choos<strong>in</strong>g appropriate forest exploitations that would supply<br />
biomass feedstock to the projected energy <strong>in</strong>stallations of known capacity and at the given locations