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Summary a biomass supply model for electricity production in Europe

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Cl RAD-Forêt

Ecole Nationale Supérieure de Polytechnique

ORGANISATION ET SUIVI DE L'ATELIER

DE FAISABILITE DE PROJET

D'ELECTRICITE

RURALE DECENTRALISEE

A PARTIR DE LA BIOMASSE

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UNITÉ BIBLIOTllÎ::QUB 5.AILL.ARGUE'

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SUMMARY A BIOMASS SUPPL Y MODEL FOR ELECTRICITY PRODUCTION IN EUROPE Stélios ROZAKIS

INRA-ESR - Grignon -78850 Thiverval - FRANCE

Tél : 01.30.81.53.41 - Fax : 01.30.81.53.68 - stelios.rozakis@grignon.inra.fr

Supply curves are used to determine minimum prices at the plant gate required by farmers to supply the corresponding quantity. They can be used by conversion plants to estimate in a realistic

way the cost of biomass feedstock related to quantity. The supply curves are used by the conversion module of the integrated bio-electricity decision making model (Bio-Electricity Decision-making - BIÈLD). Note that these curves are specific to a particular site as they include transport costs and consequently represent the cost at the conversion riant gate.

We can observe that in this case miscanthus results in higher benefit per hectare so it will be prefered to cynara plantation. This selection depends on prices that bio-electricity plant would pay for energy crops. Given that cynara has a higher Law Heating Value

(LHV determines energy produced) than miscanthus, it could be profitable for the plant to pay a higher price to the farmer for cynara and this way minimise the cost of biomass feedstock in the total cost of a unit of bio-electricity produced. For this reason supply curves of these two energy crops are generated for ail possible combinations of prices. A

grid of ail possible prices at which energy crops can be sold at the plant gate is constcucted (which defines a set J). Prices that fall outside this grid are either too low resulting in zero quantities being produced, or tao high without any additional stimulating effect. Then, we perform successive conversion model iterations using all possible pairs of prices (pcynara

=

{30, ... , 65} and Pmscanhus

=

{45, ...

, 60} in /t) in order to obtain corresponding quantities produced.

,ICIUlt;: 1 ··S?UIJi,JIU;, ..,t;:I IIYli::Ldl~ IIUIII t;:(ltêl\4Y v•u~ vu•uv,n,ion

Production cost HarvesUng cost

Transport and storaçie.cost Total cost

Table 2 : The grid below is the output of the BIELDsupply model and presents quantities (in t) of cynara produced in the area of stud:i for,all possible combinations of cz:nara and miscan~hus prices at the plant gate ( /t)

MiscanthusPrice 50 51 52 53 54 55 56 57 Cynara Price .· Data 30 31 32. 34 Sum of CynaraQ 194 194 7268 166318 Sum of MiscanthQ 206 206 206 206 Sum of CynaraQ 194 194 7268 166318 Sum of MiscanthQ 206 206 206 206 Sum of CynaraQ 194 194 7268 166318 Sum of MiscanthQ 206 206 206 206 Sum of CynaraQ 194 194 7268 166318 Sum of MiscanthQ 589 589 589 589 Sum of CynaraQ 194 194 7268 166318 Sum of MiscanthQ 15371 153. 15371 15371 71 Sum of CynaraQ 194 . 194 7268 166318 Sum of MiscanthQ 36435 364 36435 36435 35 Sum of CynaraQ 194 194 7268 166318 Sum of MiscanthQ 36435 364 36435 36435 35 Sum of CynaraQ 194 194 7268 166318

Atelier" montage de projet en électrification rurale décentralisée" 25 au 30 septembre 2000 -Yaoundé (Cameroun)

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Note that these quantities are not determined independently; they take into account cross-price effects between energy crops, as shown in Figure 1a.

ln the horizontal axes we have prices (PC and PM stand for price of cynara and miscanthus respectively) whereas quantities of cynara produced are shown in the vertical axis. One can observe that approximately up to 45 /t of cynara no intBrdependence appears regarding miscanthus price. This is explained by the fact that in this range only cynara in dry land units is profitable to produce. As miscanthus has to be irrigated there is no competition for this type of land. However for higher prices of cynara when irrigated land units start to find interesting to substitute energy for traditional crops, then competition between energy crops is observed. This is obvious when cynara price is set at higher than 65 /t. ln this case, production of

Figure 1 a : Supply of cynara ( cultivated in irrigated

and non irrigated land units) competing with miscanthus for irrigated land

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cynara reaches more than 500 thousand tons given a miscanthus price of less than 60 /t. When this latter takes values higher than 65 /t, cynara production almost disappears from irrigated land units and it is limited only to the non-irrigated ones. Miscanthus production is shown in the graph below,

for the sàme miscanthus and cynara ranges as previously. This time it is miscanthus quantity that is presented in the vertical axis.

ln this graph we can confirm the previous observation as the highest miscanthus quantities are produced for price combinations found at the antipodes of the grid.

ln figure 2 total biomass feedstock supply surface for site A is shown dependent on cynara (x axis) and miscanthus (y axis) prices. lt is expressed in Tcal and biomass quantity (or its thermal equivaleht) supplied at the plant gate at site A and its variations for different levels of cynara and miscanthus prices.

Figure 1 b : Supply of miscanthus competing with

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Figure 2: Total biomass feedstock supply (both cynara and miscanthus in Tcal)

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Figure 3 : Data flowchart in the Bio-Electricity Decision-making integrated model1.

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adapted from R.M. Saez, et al., A Multiple Criteria Decision Tool For The lntegration Of Energy Crops lnto The Southern Europe Energy System, World Conference on Biomass for Energy and lndustry, Sevilla, June 2000 (see ANNEX).

Atelier" montage de projet en électrification rurale décentralisée"

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Figure 4 : Integrated model BIELDmc cartographie output example :

Map of the case study area which shows Lands Units that produce biomass feedstock.

Acyn32mis57

·i:>tant site 0 1 2 3 Population centres · ·unclasslf·ied cynara32 c:=JO -0 ·- 1 + Misc-anthu s57 c : = J 0 - 0 '.~ ·1+ District b.oundarie.s ---'---:- Unclasslfled 2 · • 0 21-o"n

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