28.02.2013 Aufrufe

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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52<br />

Consi<strong>der</strong><strong>in</strong>g the structure of bioethanol production as presented <strong>in</strong> Figure 9, a particular attention<br />

was put on the effect of “farm-gate price of biomass” and plant size. Accord<strong>in</strong>g to the remarks<br />

concern<strong>in</strong>g non-transport feedstock cost, the variation range consi<strong>der</strong>ed <strong>in</strong>cluded significantly lower<br />

values of that parameter, as biomass prices may already today be available at much lower prices and<br />

may also become cheaper <strong>in</strong> the near future with the potential competition with foreign feedstocks<br />

on the Swiss market. Optimal plant size <strong>in</strong> ethanol process designs has always been a much debated<br />

issue, and is strongly dependent on a f<strong>in</strong>e evaluation of transport feedstock costs. The question of<br />

whether it is more beneficial to build many small-scale units or one large-scale unit is largely<br />

dependent on local conditions, and this question of a centralized or decentralized production has<br />

def<strong>in</strong>itely not a unique nor a clear answer.<br />

The results of the sensitivity analysis presented above are first presented <strong>in</strong> separate <strong>in</strong>dividual graphs<br />

(Figure 10) to give an accurate picture of the effect of each parameter on the production cost of<br />

ethanol. In or<strong>der</strong> to compare the relative effects of the same parameters on the production cost of<br />

ethanol, the same results are then presented on a unique graph (Figure 11). The latter allows to assess<br />

which of the consi<strong>der</strong>ed parameters plays the most significant roles.<br />

Ethanol production cost [SFr/l]<br />

Ethanol production cost [SFr/l]<br />

Ethanol production cost [SFr/l]<br />

2.00<br />

1.90<br />

1.80<br />

1.70<br />

1.60<br />

1.50<br />

1.40<br />

1.30<br />

1.20<br />

1.10<br />

1.00<br />

2.20<br />

2.10<br />

2.00<br />

1.90<br />

1.80<br />

1.70<br />

1.60<br />

1.50<br />

1.40<br />

1.30<br />

1.20<br />

3.00<br />

2.50<br />

2.00<br />

1.50<br />

1.00<br />

0.50<br />

0.00<br />

Ethanol production cost vs. Price of biomass<br />

0 50 100 150 200 250<br />

Biomass price <strong>in</strong>dex [100 = 70.5 SFr/t]<br />

(a)<br />

Ethanol production cost vs. Interest rate<br />

0 50 100 150 200 250<br />

Interest rate <strong>in</strong>dex [100 = 10%]<br />

(c)<br />

Ethanol production cost vs. Plant size<br />

0 50 100 150 200 250 300 350<br />

Plant size <strong>in</strong>dex [100 = 47.5 Ml/yr]<br />

(e)<br />

Ethanol production cost [SFr/l]<br />

Ethanol production cost [SFr/l]<br />

Ethanol production cost [SFr/l]<br />

2.30<br />

2.20<br />

2.10<br />

2.00<br />

1.90<br />

1.80<br />

1.70<br />

1.60<br />

1.50<br />

1.40<br />

1.30<br />

1.20<br />

1.10<br />

1.00<br />

1.52<br />

1.51<br />

1.50<br />

1.49<br />

1.48<br />

1.47<br />

2.20<br />

2.00<br />

1.80<br />

1.60<br />

1.40<br />

1.20<br />

1.00<br />

Ethanol production cost vs. Equipment cost<br />

0 50 100 150 200 250<br />

Equipment cost <strong>in</strong>dex [100 = 96.8 MSFr]<br />

(b)<br />

Ethanol production cost vs. Price of by-products<br />

0 50 100 150 200 250<br />

By-products price <strong>in</strong>dex [100 = 0.076 SFr/kWh]<br />

(d)<br />

Ethanol production cost vs. Conversion efficiency<br />

0.80<br />

50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100%<br />

Conversion efficiency<br />

Figure 10 Results of the sensitivity analysis on separate <strong>in</strong>dividual graphs for each parameter.<br />

(f)

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