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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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46<br />

Feedstock components Composition<br />

Composition<br />

(% wt. dry matter basis) (% wt. fresh matter basis)<br />

Cellulose 42.7 % 22.2 %<br />

Hemicellulose 28.7 % 14.9 %<br />

Lign<strong>in</strong> 27.7 % 14.4 %<br />

Ash 0.9 % 0.5 %<br />

Water - 48.0 %<br />

Total 100.0 % 100.0 %<br />

Table 1 Composition of lignocellulosic feedstock consi<strong>der</strong>ed for conversion to ethanol.<br />

The production capacity of the plant has been set to 47.5 million liters (Ml) of bioethanol per year <strong>in</strong><br />

or<strong>der</strong> to match the production capacity of the plant envisaged <strong>in</strong> the Alcosuisse project. The ethanol<br />

yield is 157 liters per ton of fresh wood (respectively 301 liters per ton of dry matter). The conversion<br />

efficiency (expressed as the ratio of the amount of ethanol produced to the maximum theoretical<br />

ethanol obta<strong>in</strong>able given the composition of the feedstock) reaches 69.3%. As suggested by NREL, it<br />

was assumed <strong>in</strong> the calculations that no sugars other than glucose and xylose were fermented to<br />

ethanol. Conversion data used <strong>in</strong> the calculation were those quoted by NREL <strong>in</strong> their first<br />

lignocellulosic biomass to ethanol process design (Wooley et al., 1999).<br />

Economic analysis of the process<br />

One of the ma<strong>in</strong> purposes of the present report is to evaluate the potential production cost of<br />

bioethanol from lignocellulosic biomass, with the objective of assess<strong>in</strong>g its potential as a vehicle fuel<br />

on the market. The economic analysis presented <strong>in</strong> this section is based on the one performed by<br />

NREL (Wooley et al., 1999), adapted to Swiss conditions (ethanol production capacity, price of raw<br />

materials, <strong>in</strong>vestments, salaries, etc.). All the costs <strong>in</strong> the economic analysis are given <strong>in</strong> Swiss Francs<br />

2002 (CHF 2002 or simply CHF). The follow<strong>in</strong>g analysis corresponds to the 2010 scenario. In other<br />

words, the bioethanol plant described <strong>in</strong> the present section would start production <strong>in</strong> the year 2010.<br />

The process model followed closely the NREL design as reported so thoroughly by them (Wooley et<br />

al., 1999). A spreadsheet model was developed by the LASEN to calculate all material and energy<br />

balances based on specified yields (Figure 4), and operat<strong>in</strong>g costs were calculated based on these flow<br />

and energy use rates coupled with available cost <strong>in</strong>formation. Then, appropriate rates were used to<br />

size equipment, and equipment costs were calculated based on the NREL <strong>in</strong>formation for all of the<br />

steps from feedstock handl<strong>in</strong>g and storage to manufacture of ethanol. The power law scale factors<br />

reported by NREL were used to estimate the change <strong>in</strong> cost of each equipment item with vary<strong>in</strong>g<br />

feedstock composition, cellulosic feed rate, yields, and other <strong>in</strong>formation. The <strong>in</strong>stallation factors<br />

reported by NREL were used to estimate the cost of <strong>in</strong>stalled equipment, and their cost factors were<br />

applied to estimate the total cost of capital <strong>in</strong>clud<strong>in</strong>g warehous<strong>in</strong>g, eng<strong>in</strong>eer<strong>in</strong>g profit, and so forth.<br />

The spreadsheet was run <strong>in</strong>itially at NREL conditions to <strong>in</strong>sure that the model could duplicate the NREL<br />

results. Then, changes were made <strong>in</strong> various parameters to reflect the production capacity,<br />

composition of hardwood, yields selected for the process, specific economic parameters, and any<br />

other changes, as noted later.

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