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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forest route density, all forest stands are at least with<strong>in</strong> a distance of 600 m from the nearest route <strong>in</strong><br />
the Canton of Vaud).<br />
Accessibility<br />
Forest stand accessibility for motor vehicles ma<strong>in</strong>ly depends on slope and soil characteristics. Slopes<br />
above 50% are consi<strong>der</strong>ed <strong>in</strong>accessible and require specific harvest<strong>in</strong>g mach<strong>in</strong>ery, i.e. a cable crane or a<br />
helicopter.<br />
The strength and the roughness of the soil are complementary variables that play an important role <strong>in</strong><br />
def<strong>in</strong><strong>in</strong>g whether an area is accessible by motor vehicles without any risk of ground damage and soil fertility<br />
degradation. Data can be <strong>in</strong>terpreted from the soil property map from the Swiss Agriculture Research<br />
station <strong>in</strong> Reckenholz or from the geotechnical map from the Swiss Fe<strong>der</strong>al Office of Topography.<br />
Soil characteristics were not consi<strong>der</strong>ed <strong>in</strong> the def<strong>in</strong>ition of accessibility <strong>in</strong> the present study.<br />
Distance to the road<br />
The Vector25 transportation network layer <strong>in</strong>cludes several types of roads, based on the Swiss Fe<strong>der</strong>al<br />
Office of Topography typology. Relevant road categories, correspond<strong>in</strong>g to forest roads, trails and paths,<br />
needed to be selected: 4th, 5th and 6th class roads were chosen for the study.<br />
In or<strong>der</strong> to take <strong>in</strong>to account the distance between forest stands and the nearest route <strong>in</strong> <strong>in</strong>accessible<br />
areas, 100 m and 600 m buffers were computed around each road segment. Then a spatial query consist<strong>in</strong>g<br />
<strong>in</strong> determ<strong>in</strong><strong>in</strong>g for each pixel whether its centroid was located with<strong>in</strong> a given buffer zone allowed<br />
us to select forest stands located at a m<strong>in</strong>imal distance. Up or downwards direction to the road was not<br />
taken <strong>in</strong>to account.<br />
Farm-gate prices and total harvest<strong>in</strong>g costs<br />
The different categories of trees, their relative accessibility and eventually their distance to the nearest<br />
route are the basic conditions that def<strong>in</strong>e the choice of harvest<strong>in</strong>g technique and the biomass farm-gate<br />
prices. Then, the total harvest<strong>in</strong>g costs can be estimated by multiply<strong>in</strong>g the potential volume of energywood<br />
of each species type <strong>in</strong> Sm 3 by respective farm-gate price (<strong>in</strong> our case it corresponds to average<br />
cost of harvest<strong>in</strong>g), as def<strong>in</strong>ed by the local conditions and the consi<strong>der</strong>ed harvest<strong>in</strong>g scenario.<br />
10.3.8 Results<br />
The total quantities of biomass available for energy use that were obta<strong>in</strong>ed <strong>in</strong> the case study are as follows<br />
(Table 56):<br />
Public Forests Private forests Total<br />
Deciduous M<strong>in</strong> 287’074 88’160 375’234<br />
Max 323’702 95’948 419’650<br />
Coniferous M<strong>in</strong> 168’600 50’301 218’901<br />
Max 215’510 64’213 279’723<br />
Total M<strong>in</strong> 455’674 138’461 594’135<br />
Max 539’212 160’161 699’373<br />
Table 56 Calculated available biomass quantities <strong>in</strong> Sm 3 <strong>in</strong> the Canton of Vaud (m<strong>in</strong>imal and maximal scenarios).<br />
The way these potential biomass volumes are spatially distributed is represented on the follow<strong>in</strong>g map<br />
(Figure 50).