Energy Systems and Technologies for the Coming Century ...

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4TRADABLE GREEN CERTIFICATES(PREMIUM) FEED-IN TARIFFSEURO/kWhProducer surplusEURO/kWhProducer surplusP CERTACBCost curveMarket pricekWh TargetP FIT_CP FIT_BP FIT_AABCCost curveMarket pricekWh TargetFig. 3. Differences in transfer costs due to higher Producer surplus of TGC systems incomparison to FITEspecially, if the cost resource curve is steep – Fig. 3 – Producer surplus in TGC systemsis considerable and may even be higher than generation costs! Hence the additional extracosts which finally have to be paid by the electricity consumers/tax payers risetremendously in comparison with a technology-specific FIT. This case is by far theoverwhelming one in EU-27 countries and leads straightforward, to the request for atechnology-specific support system e.g. FITs as depicted in Fig. 3, right side.A uniform European TGC price for all RES-E would be set by the marginal price of themost expensive technology sold (analogous to current quota systems). If the marginalprice is set by a medium or high cost technology, this would lead to windfall profits forlow cost technologies (this is one reason why the UK government has introducedtechnology banding for the UK ROCs market).In addition, it has to be born in mind that in a trading system the risk to recoverinvestments leads to the effect of an additional risk premium, see Fig. 4. This Figurefinally explains why the support costs in most trading schemes tend to be higher than inFIT countries.TRADABLE GREEN CERTIFICATESEURO/kWhExtra generation costsrisk premium!!!MarketpriceProducersurplusMinimalMonetarygenerationcostskWhTotalcostsQuota/ TargetFigure 4. Possible producer surpluses when the cost resource curve is steepRisø International Energy Conference 2011 Proceedings Page 70
54 Country-specific Lessons learned frompromoting RES-EThis section summarises the major lessons learned from trading systems implemented inspecific countries. Quota-based systems are now in place in the UK, Sweden, Italy,Belgium, and Poland, see Haas [5]. Analyses on the effectiveness of TGC systems havebeen conducted e.g. by van der Linden [18], Jacobsson et al [19], Ragwitz et al [20],Toke [21]. Fig. 5 shows the premium support level in selected countries. As can be seenthe requirement of a noticeable dynamic decrease in the promotion costs is not met forTGCs despite increasing market prices for conventional electricity.In Sweden, certificate prices are still lowest – see Fig. 5 –although prices have beenrising in recent years. In Sweden some old capacity were also allowed to participate inthe Swedish quota system. This resulted in the situation that more certificates wereproduced than redeemed until 2006. In 2007 it was the first time that more certificateswere redeemed than issued (see Fig. 7). Moreover, additional investment subsidies forwind power plants were available, improving further the economic incentives for windpower investments. which led to lower marginal costs in the TGC system.In the UK, the major problem – aside from high certificate prices – is that the quota hasnever been fulfilled so far. In the accounting period 2007/2008 4.9 % of electricity wasgenerated from “new” RES while the quota was 7.65 % (see Fig. 8) resulting in a quotafulfilment of 64% (see Fig. 9). One main reason for this failure is the intrinsic deficit inthe case of ambitious RES targets and a non-mature market environment, where besidespolicy-driven investor’s uncertainty (e.g. on future certificate prices) severaladministrative barriers appear to be of relevance. There is a similar situation in Italy.Certificate prices here are high (see Fig. 7) and quota fulfilment is moderate (about 90 %of the quota of 3 % was fulfilled in 2007).In Belgium there are two parallel TGC systems in Flanders and Wallonia. The TGCprices in Flanders are among the highest in Europe and as reported in Verbruggen [22]and Verbruggen [23] the associated policy effectiveness has been very low until 2008and appears to be on a rising trend starting in 2009.Fig. 6 shows the corresponding figure for FIT-countries. It is important to note thatsupport is calculated as the difference between FIT and the wholesale electricity marketprice. This explains to some extent the volatitlity. In Fig. 6.1412Value of certificate (c/kWh)10864202002 2003 2004 2005 2006 2007 2008 2009 2010Sweden UK Belgium (average) Italy Poland RomaniaFig. 5. Value of certificate in different European TGC markets 2002-2010, Figures for2009 and 2010 preliminary)Risø International Energy Conference 2011 Proceedings Page 71
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Energy Systems and Technologies for
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ContentsSessions overview 1Programm
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sessions overview08:00-09:00Coffee
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11:00 - 12:30 session 6A - Bioenerg
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ContactSustainable Energy, Technica
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Penetration of new energy technolog
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how decisions are made and by whom
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(9) is the logaritimic expansion of
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(16)we may finally write Eq(14) in
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Table 1: Fast track cases for new r
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Peterka V. Macrodynamics of technol
Page 23 and 24: Growth in clean and reliable energy
Page 25 and 26: Conclusion - an ambitious vision an
Page 27 and 28: "Spurring investments in renewable
Page 29 and 30: Integrating climate change adaptati
Page 31 and 32: transport, and finance. Energy prov
Page 33 and 34: northern South America, the Caribbe
Page 35 and 36: Table 1: Energy system adaptation s
Page 37 and 38: More generally, a number of no- or
Page 39 and 40: 6 ReferencesADB, 2005. Climate proo
Page 41 and 42: Sailor, D.J., Smith, M., Hart, M.,
Page 43 and 44: Factors affecting stakeholder perce
Page 45 and 46: Another study conducted in Japan wa
Page 47 and 48: 4 The effect of information on stak
Page 49 and 50: Furthermore, communication to stake
Page 51 and 52: Shackley S, McLachlan C, Gough C (2
Page 53 and 54: Figure 1: Potential CO 2 storage si
Page 55 and 56: The Upper Jurassic - Lower Cretaceo
Page 57 and 58: The majority of the individual stru
Page 59 and 60: Development. Project no. ENK6-CT-19
Page 61 and 62: Section 5 summarises the key issue
Page 63 and 64: Table 1. Efficiencies for new large
Page 65 and 66: In addition, district heating syste
Page 67 and 68: 6.4 Model results from EFDA-TIMESIn
Page 69 and 70: Maisonnier, D., et al. (2007), Powe
Page 71 and 72: 1Efficiency and effectiveness of pr
Page 73: 3Stromerzeugung [TWh/a]250200150100
Page 77 and 78: 7100%90%80%quota fullfilment (%)70%
Page 79 and 80: [5] Haas R., et al: Efficiency and
Page 81 and 82: The development and diffusion of re
Page 83 and 84: a. Offshore wind in DenmarkDenmark
Page 85 and 86: applicants are invited to submit a
Page 87 and 88: nies that provide upstream and down
Page 89 and 90: for both technology users and produ
Page 91 and 92: Trade Disputes over Renewable Energ
Page 93 and 94: treatment to imported renewable ene
Page 95 and 96: In Canada, the federal government i
Page 97 and 98: grid access, subsidies and land off
Page 99 and 100: In 2010, China’s total wind insta
Page 101 and 102: Source: Renewables 2010 Global Stat
Page 103 and 104: Source: REN 21, Renewables 2010 Glo
Page 105 and 106: Source: adapted from REN21, 2010It
Page 107 and 108: their precise scope and nature diff
Page 109 and 110: 60 daysBy 2 nd DSBmeetingConsultati
Page 111 and 112: discriminatory manner on domestic a
Page 113 and 114: the European Union, the North Ameri
Page 115: ended. China lost this case because
Page 118 and 119: As most countries in the world are
Page 120 and 121: Session 3A - Energy SystemsRisø In
Page 122 and 123: 1 IntroductionWith the introduction
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occur. This is an undesirably burea
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This curve could be used as a new t
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ut for the total consumption, and i
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This gives the LBR an opportunity t
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concludes that the subsurface conta
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to constrain the evaluation. In add
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Fig. 2 SW-NE trending seismic profi
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Fig. 5. Petrophysical evaluation of
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ConclusionsThe Danish subsurface co
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Performance of Space Heating in aMo
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[5],[10],[11],[16],[18],[20],[26].
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2/3 Sun1 Coal1/3 ElPower plantHP1 H
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25002000Surplus(min(wind,prod-cons)
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160CO 2 emission per unit heat prod
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The calculations have been based on
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Session 3B - smart gridsRisø Inter
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2 Myopic Investments2.1 The Balmore
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Moreover, this model is formulated
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Reducing Electricity Demand Peaks b
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3 Event Driven Scheduling Algorithm
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5 Mapping Teletraffic Theory to Ene
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6.2 Results and Performance Metrics
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Energy Efficient Refrigeration and
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Virtual Power PlantAggregatorSuperm
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C p,rC p,fT rT fW cφ sT a(UA) raHe
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Total PowerP.G. #1P.G. #2C.R. #1201
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the availability payment.Simulation
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The constraint in Eq. (16) has the
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The FlexControl concept - a vision,
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can react on requests for power reg
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3 ControlThe concept is based solel
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one hour to the next - correspondin
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4 ProtectionThe protection of the p
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Session 4 - Efficiency Improvements
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the product portfolio point of view
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Figure 4: Principle flow sheet of t
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process information needed are seld
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AIRFINE®(Reference)MEROS®Ca(OH)2M
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4 Conclusion & DiscussionThe Eco-Ca
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1 Energy policy and EU directivesTh
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iomass CHP, heat pumps, electric bo
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Fig. 1: How to supply a growing hea
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Session 5A - Wind Energy IRisø Int
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The average cumulative growth rate
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turbines is expected to create a st
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O&MGridWindturbineSubstructureFigur
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Another idea is to harvest energy f
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9. Shimon Awerbuch, Determining the
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engaged in wind energy assessment,
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treated in such a way to make them
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Figure 5: Map showing the estimated
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Figure 9: The annual mean power den
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mix is required. For example diurna
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Session 5B - Wind Energy IIRisø In
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TABLE ISOME OF THE WIND TURBINE MAN
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China, has prompted all parties, in
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to the high shaft speed. Furthermor
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Superconductors must be kept cold b
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an annual increase in demand of 6%,
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Improved High Temperature Supercond
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our study to a single set of deposi
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3.2 Yttrium-enriched YBCO thin film
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Fig. 5. AC-susceptibility dependenc
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The j C (B) dependence at 50 K for
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Session 6A - Bioenergy IRisø Inter
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The European politicians are faced
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The fast growing demand for biomass
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Figure 2: Avedøre Power Plant in C
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Figure 5: Concept for a sustainable
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The role of biomass and CCS in Chin
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2.2.1 CCS Potential for ChinaCCS is
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80%70%60%China's share ofglobal CO
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In general, if the CCS technology d
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with high implementation of CCS Chi
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The European Biofuels Policy: from
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aimed to promote agriculture-based
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(EC, 2009b), and internationally vi
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Session 6B - Bio Energy IIRisø Int
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The commercial scale production of
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the production process parameters,
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NutrientWaterAlgal cultureproductio
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Schenk, P.M., Thomas-Hall, S.R., St
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Liquid biofuels from blue biomassZs
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Even though final ethanol yields we
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Integrated Gasification SOFC Plant
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2.1 Modelling of SOFCThe SOFC model
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where g 0 , R an T are the specific
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hand side y-axis corresponds to eff
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The moister content for these three
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Use of Methanation for Optimization
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power production from utilizing the
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2.1 Model DescriptionThe developed
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Figure 3: Flow sheet of methanation
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efficiency and turbine inlet temper
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[14] DNA - A Thermal Energy System
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On the effectiveness of standards v
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educing new car emissions to 120 g
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In addition energy consumption E an
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coefficient γ for the impact of fu
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400200Change in energy (PJ)01980 19
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Figure 9 depict scenarios for the f
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What are customers willing to pay f
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Randomly, continuous up to ±50%Acc
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The likelihood for the model is giv
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eally means that this factor and no
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Table 5-1 Parameter estimates from
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Table 6-2 Willingness to pay for 10
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Session 12 - Energy for Developing
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Risø International Energy Conferen
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existing renewable energy technolog
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useful energyend energysecondary en
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parts or the means of enforcing war
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The development of micro-hydro proj
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Table 1. Electric power generation
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5 ReferencesBajgain, S., Shakya, I.
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IntroductionElectricity has become
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of 2008, 43.6% of the total populat
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Hilmand provinces have comparativel
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….. eq. 5LCOE is the net present
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case of Nepal, it is 5% (Trading ec
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ing down the cost of solar PV modul
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3.3 Serving the rural areas with na
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The levelized costs of electricity
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Figure 4. Variation in LCOE with si
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The analysis reveals that fuel cost
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In case of DG, we have looked with
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Gross, R., Blyth, W., Heptonstall,
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Mode of Transport to Work, Car Owne
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power parity (PPP) basis, GDP per c
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83,385 to 109,108 while the number
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other purposes so that reduced fare
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emissions studies is that they were
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where I (·) is the indicator funct
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increases, individuals acquire more
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while that of other means of transp
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into CO 2 . For all oil and oil pro
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impact. In general, income is found
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7 ReferenceAlperovich, G., Deutsch,
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Table 1: Definitions of Variables a
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Session 13 - Energy StorageRisø In
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2 Storage demand and resulting stor
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compressed air storages, demand sit
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Fig. 3: Options for underground sto
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3.5 Geological potential in EuropeF
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Sensitivity on Battery Prices and C
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3.1 Base caseA northern European en
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4 ResultsThe model is run on a comp
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Furthermore, a slight decrease in t
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Night time charging increases with
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Lithuanian Energy Institute, PSE In
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atteries, Compressed Air Energy Sto
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negative net load, can be expected
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25%Pct. of the year20%15%10%5%0.5-0
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800006000040000MWh200000Netload-200
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[4] B. V. Mathiesen and H. Lund, "C
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Compressed Air Energy Storage in Of
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compressed air caverns, corrosion-r
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Figure 3: Distribution of salt depo
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Figure 6: EWEA's 20 year Offshore N
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spinning reserves can be provided b
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7 Discussion and conclusionsThis pa
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Risø DTU is the National Laborator
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