The <str<strong>on</strong>g>12th</str<strong>on</strong>g> <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>Symposium</str<strong>on</strong>g> <strong>on</strong> <strong>District</strong> <strong>Heating</strong> <strong>and</strong> <strong>Cooling</strong>,September 5 th to September 7 th , 2010, Tallinn, Est<strong>on</strong>iaResource efficiency(kg CO 2 eq./MWh biomass)250200150100500Ref.Comb.Ref.Comb.Ref.Comb.Ref.E1-E2E2Comb.System 1 System 2 System 3 System 4Fig. 4. Resource efficiency of biomass quantified asGHG reducti<strong>on</strong> per used quantity of biomass.ECONOMIC VALUEWhether the cost/benefit analyses return positive NPVsdepend largely <strong>on</strong> the hurdle rates assigned to them. InTable IV a summary of the ec<strong>on</strong>omic results arepresented including the initial outlay, the expected freecash flow for the first year <strong>and</strong> estimated NPVs for 4, 7<strong>and</strong> 10% discount rates, respectively. With theexcepti<strong>on</strong> of System 1, where the bioenergy combine isactually cheaper than the reference plant, marginalinitial outlays vary between M€ 140 <strong>and</strong> 330, <strong>and</strong>expected cash flows for the first year of operati<strong>on</strong>sbetween M€ -3 <strong>and</strong> 57. The largest additi<strong>on</strong> to existingcash flow (both in absolute <strong>and</strong> relative terms) comesfrom the bioenergy combine investment in System 4.Table IV. Summary of cost/benefit analyses for adding abioenergy combine to the reference investment in thestudied systems.1 2 3 4Initial outlay (M€) - 13.9 144 194 327Cash flow (M€y) -3.4 18.8 15.7 57NPV (M€) for different discount rates4% -40 76 -62 3627% -27 29 -89 20710% -19 -4 -108 101As also can be seen in Table IV, <strong>on</strong>ly two projects arevalue adding at a 4% discount rate, <strong>and</strong> System 4 isthe <strong>on</strong>ly <strong>on</strong>e that can bear a 10% discount rate. Theresults for System 1 are a bit upside down, sincecompared to the reference case the investment cost<strong>and</strong> net cash flows are negative for the combine.System 3, perhaps being the weakest of casesanalyzed, will not show positive figures for any positivediscount rate.For robustness c<strong>on</strong>trol purposes, sensitivity analysesare performed, here presented for System 3. Figure 5illustrates the estimated NPV c<strong>on</strong>sequences fromchanges in marginal cash flows, disaggregated into inpayments,out-payments, initial outlays <strong>and</strong> terminalvalue.Change in NPV (M€, 10% disc. rate)100500-50-100-150-200-250-300In-paymentsInitial outlay-30% -20% -10% 0% 10% 20% 30%Change in cash flowsOut-paymentsTerminal valueFig. 5. Estimated changes in NPV (M€) for System 3 asa result of percentage changes in cash flows assuming a10% discount rate.A percent change in either of these, results (ceterisparibus) in a NPV change, as indicated in the figure. Itis clear that the project is most vulnerable for changesin in-payments followed by out-payments. Assuming ahurdle rat of ten percent, a 20% average increase inyearly in-payments would result in an increase in NPVof about € 100 milli<strong>on</strong>. Corresp<strong>on</strong>dingly, a 20%increase in yearly out-payments result in a NPVreducti<strong>on</strong> of € 84 milli<strong>on</strong>s. Fig. 5 also show that thecost/benefit analysis is not very sensitive to changes ininitial outlay <strong>and</strong> leave no visible mark for changes interminal value. The order of importance of NPV impactof cash flow changes are similar in the other threesystems, where in-payments being the most important<strong>on</strong>es.Change in marginal in-payments25%20%15%10%5%0%-5%-10%-15%-20%-25%Ethanol Biogas Pellet-30% -20% -10% 0% 10% 20% 30%Price changeFig. 6. Estimated percentage changes in in-payments forSystem 3 as a result of percentage changes in inputprices.149
The <str<strong>on</strong>g>12th</str<strong>on</strong>g> <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>Symposium</str<strong>on</strong>g> <strong>on</strong> <strong>District</strong> <strong>Heating</strong> <strong>and</strong> <strong>Cooling</strong>,September 5 th to September 7 th , 2010, Tallinn, Est<strong>on</strong>iaHaving established the sensitivity to changes in cashflows it follows naturally to examine also to whatdegree different cash flows changes with respect tochanges in underlying prices. In Figure 6, the relati<strong>on</strong>between marginal in-payments <strong>and</strong> prices of ethanol,biogas <strong>and</strong> pellets are shown for System 3. It is clearthat ethanol is by far the most important bioenergyproduct, where a 20% increase in prices renders a 12%increase in in-payment.Change in marginal out-payments20%15%10%5%0%-5%-10%-15%-20%Biomass Electricity O&M-30% -20% -10% 0% 10% 20% 30%Price/unit cost changeFig. 7. Estimated percentage changes in out-payments forSystem 3 as a result of percentage changes in inputprices/unit costs.Similarly, Figure 7 shows how out-payments vary withinput prices. Inputs included in the figure are biofuel,operati<strong>on</strong>s <strong>and</strong> maintenance (O&M) <strong>and</strong> electricity 7 .Not surprisingly, biofuel is the key input, where a 20%price change results in a 10% change in out-payments,which in Figure 5 translates to a € 42 milli<strong>on</strong> change inNPV.The sensitivity analyses of System 3 show that minorchanges in underlying factors can result in significantchanges in the NPV estimates. However, a notinsignificant part of the indicated variability in cashflows should be hampered by the offsetting effectsdriven by the probable covariance between prices forbiomass <strong>and</strong> bioenergy products. To be noticed is thatthe order of importance of the inputs in the other threesystems show a similar ranking, where biofuel <strong>and</strong>biomass price being the two most important <strong>on</strong>es.FIT WITH EXISTING BUSINESS CONTEXTThe envir<strong>on</strong>mental <strong>and</strong> ec<strong>on</strong>omic evaluati<strong>on</strong>s indicatethat the integrati<strong>on</strong> of bioenergy producti<strong>on</strong> intomedium sized district heating systems can beassociated with both envir<strong>on</strong>mental <strong>and</strong> ec<strong>on</strong>omicbenefits, but the picture is mixed <strong>and</strong> ambiguous. Froman envir<strong>on</strong>mental point of view, the results are coherentacross all systems: the absolute envir<strong>on</strong>mental benefitof bioenergy producti<strong>on</strong> is in proporti<strong>on</strong> to the use ofbiomass, since increased use of biomass impliesincreased output of CO 2 neutral energy products.However, from a resource efficiency point of view,biomass should not be used to replace transportati<strong>on</strong>fuel as l<strong>on</strong>g as the marginal electricity is related to highCO 2 emissi<strong>on</strong>s. One important explanati<strong>on</strong> to thecoherent envir<strong>on</strong>mental profiles of the differentbioenergy combine soluti<strong>on</strong>s is similar resourceefficiency for the four technologies evaluated. Hence,our results suggest that it is possible to find differentenergy combine with similar resource efficiency.However, these similarities in resource efficiency d<strong>on</strong>ot indicate similarities in ec<strong>on</strong>omic attractiveness. Infact, the ec<strong>on</strong>omic evaluati<strong>on</strong> seems to suggest thatsome bioenergy producti<strong>on</strong> technologies are notcurrently ec<strong>on</strong>omic viable for integrati<strong>on</strong> with districtheating system. Furthermore, the results indicate thatnot all district heating systems are suitable forintegrati<strong>on</strong> with a biofuel producti<strong>on</strong> unit. Despite beingof the same size, use the same raw material <strong>and</strong> beingevaluated <strong>on</strong>ly <strong>on</strong> marginal effects <strong>on</strong> the ec<strong>on</strong>omicsituati<strong>on</strong>, differences in district heating systemcharacteristics have a profound impact <strong>on</strong> theec<strong>on</strong>omic possibilities of energy combine integrati<strong>on</strong>. Inthis study we have matched every system with acombine soluti<strong>on</strong> in order to maximize the site-specificopportunities in each system. This opens of course thepossibility that there exist other matches with lessresource efficiency but higher ec<strong>on</strong>omic profitability.Even if this can be the case, we would like to point outthat <strong>on</strong>e of the starting points of this study was to basein-data <strong>on</strong> the c<strong>on</strong>diti<strong>on</strong>s of real systems. This includestaking various kinds of restricti<strong>on</strong>s into c<strong>on</strong>siderati<strong>on</strong>.Even though these restricti<strong>on</strong>s vary, the <strong>on</strong>esprominent in this study can be grouped into fourdifferent categories:Proximity to input resourcesProximity to customers or infrastructure fortransporting the finished productsExisting producti<strong>on</strong> <strong>and</strong> system c<strong>on</strong>figurati<strong>on</strong>Dominant business c<strong>on</strong>diti<strong>on</strong>sProximity to input resourcesSome combine soluti<strong>on</strong>s (such as the <strong>on</strong>e for System4) dem<strong>and</strong> huge amounts of biomass. This requireslarge areas of regi<strong>on</strong>al biomass recourses <strong>and</strong> little orno competiti<strong>on</strong> over it. Import by sea is an alternativebut it requires producti<strong>on</strong> sites close to a harbour.Proximity to market for the finished productThe producti<strong>on</strong> of biogas is <strong>on</strong>e example of both theimportance of proximity to customers <strong>and</strong> to1507 The electricity in out-payments corresp<strong>on</strong>ds to the electricityused in the bioenergy producti<strong>on</strong> unit. In Table 1, <strong>on</strong>ly the netelectricity export is displayed.
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