Energy Systems and Technologies for the Coming Century ...

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Powerp maxp max -c v h maxh max -c mp minp min -c v h minh min h maxHeatFigure 3. CHP parameters (source: Grohnheit, 1993)However, for modelling purposes the figure can represent an aggregation of units servinga national electricity system and aggregations of district heating systems, using a set ofconstraints on heat flows in time-slices (i.e. seasonal and diurnal break-downs of theyear). The coupled production of aggregated electricity and heat may be flexible withincertain limits, in particular to meet increasing electricity demand or reduced windproduction. The reduced heat supply to the district heating system can be met by peakloadboilers or heat storages.6.3 CHP as virtual heat pumpsA further interpretation of the parameters in Figure 3 is to consider heat production byCHP as a virtual heat pump. It means that part electricity generated in condensing modeis converted into heat at an efficiency factor that is the inverse of the power-loss ratio.Instead of operating a physical heat pump by electricity, part of the steam in the turbineis sent to a heat exchanger and the district heating network rather than the low-pressureturbine and the power generator.Interpreting CHP as virtual heat pumps makes it much easier to integrate CHP and heatsupply from power stations with CCS into a heat market, where also individual heatpumps become increasingly important (Orchard, 2010; Grohnheit, 2010). The variousheat supply technologies will compete on efficiencies, fuel price and requirement forinvestment in house installation as well as city-wide infrastructure.Table 2. CHP as “virtual heat pumps”Technology Power-loss-ratio EfficiencyfactorElectricity driven heat pump n.a 3Nuclear CHP 0.25 4Coal/gas CHP; Fission Gen. IV and Fusion. 0.15 7Low-temperature DH n.a. 10Conservative average for heat transmission n.a. 5CCS with heat recovery n.a. n.a.Risø International Energy Conference 2011 Proceedings Page 627
6.4 Model results from EFDA-TIMESIn the latest work programmes of EFDA-TIMES the work has focused on sensitivityanalyses. One of these analyses was aimed at identifying combinations of assumptionsthat will allow biomass and CCS to play a significant role by 2050 and later (Grohnheit,2011). Figure 4 shows selected results from this analysis. The presentation is limited toEurope, which is the sum of the EFDA-TIMES regions WEU and EEU. In addition tothe Base Scenario, an scenario combining constraints on the share of nuclear fission(maximum 25% of electricity generation in each region) and the global limit of CO 2emissions to 450 ppm. The latter constraint is applied for numerous scenario analyses.Electricity supplyHeat supplyEJ40Base Scenario ‐ EuropeEJ5Base Scenario ‐ Europe3530252015105CCSWindSolarOil and gasHydroGeothermalFusionFissionCoal4321Large DHGeo CHPBio CHPFossil CHPGeo BoilerBio BoilerFossil Boiler02000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100Biomass02000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100EJ Emissions 450 ppm ‐ regional fission max. 25 %4035CCS30WindSolar25Oil and gas20Hydro15GeothermalFusion10Fission5Coal0Biomass2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100450 ppm ‐ Heat transmission invest. 25 $/GJEJ4035CCSWind30Solar25Oil and gas20Hydro15GeothermalFusion10Fission5Coal0Biomass2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100EJ Emissions 450 ppm ‐ regional fission max. 25 %54Large DHGeo CHP3Bio CHPFossil CHP2Geo BoilerBio Boiler1Fossil Boiler02000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100450 ppm ‐ Heat transmission invest. 25 $/GJEJ54Large DHGeo CHP3Bio CHPFossil CHP2Geo BoilerBio Boiler1Fossil Boiler02000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100Figure 4. EFDA-TIMES results for electricity and heat supply in Europe 2000-2100.Base Scenario and two scenarios with emission constraints.An additional scenario is added introducing a technology that represents the heattransmission and distribution infrastructure using a very aggregate parameter forinvestment costs at 25 $/GJ annual flow. The choice of investment cost is based on a8Risø International Energy Conference 2011 Proceedings Page 63
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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
Page 15 and 16: (9) is the logaritimic expansion of
Page 17 and 18: (16)we may finally write Eq(14) in
Page 19 and 20: Table 1: Fast track cases for new r
Page 21 and 22: 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: In addition, district heating syste
Page 69 and 70: Maisonnier, D., et al. (2007), Powe
Page 71 and 72: 1Efficiency and effectiveness of pr
Page 73 and 74: 3Stromerzeugung [TWh/a]250200150100
Page 75 and 76: 54 Country-specific Lessons learned
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
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As most countries in the world are
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Session 3A - Energy SystemsRisø In
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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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