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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).

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