Energy Systems and Technologies for the Coming Century ...

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Figure 5: Map showing the estimated variance of wind speed at 500 m resolution due tothe orographic speed-up effects.Figure 6: Map showing the estimated variance of wind speed at 500 m resolution due tothe variation of surface roughness length.4 Modelling spatial wind speed varianceAs part of an exercise test the feasibility of the methodology for the Gobal Wind Atlas,an area of the northwest United States was selected. This area will also be used in anongoing collaborative study with the National Renewable Energy Laboratory (NREL),USA. The following section is included to give an impression of the importance of thesmall scale spatial variation of wind for wind resource assessment.The area is of interest because of the diverse terrain types and coast areas. The area is650 x 400 km in size. Elevation data at 500 m resolution was derived from the SpaceShuttle Topography Mission (SRTM) data with 90m resolution. Surface roughnesslength data at 1 km resolution was derived from United Stated Geological Survey(USGS), Global Land Cover Classification (GLCC) data with 1 km resolution. Thetopography data was projected on to a UTM grid using UTM zone 10, and datumWGS84 and is show in Figures 3 and 4.Risø International Energy Conference 2011 Proceedings Page 220
Figure 7: The annual mean power density at 50 m for the Columbia Gorge test regionbased on annual mean wind-speed, derived from geostrophic winds from CFSR data.Figure 8: The annual mean power density at 50 m for the Columbia Gorge test regionbased on annual mean wind-speed-cubed, derived from geostrophic winds from CFSRdata.Figures 3 and 4 illustrate the diversity of elevations and roughness lengths found in thelarge test area. The 650 x 400 km area was split into 104 blocks, with dimension 50 x 50km. For each 50 x 50 km block the spatial variance of the wind speed due to variation ofelevation and roughness was estimated. The basis for the estimation is given in Badger etal (2010). The simple spectral orography model determines the variance due to speed-upeffects on hills and ridges in each 50 x 50 km block, by considering the contributions toelevation variation according horizontal scale, via Fourier transformation of theorography in the block. The simple geostrophic drag model (SGDM) determinesvariance due to roughness length in each 50 x 50 km block by application of thegeostrophic drag law using the distribution of roughness lengths present in the block.Figures 5 and 6 show the standard deviation (square root of variance) of wind speed dueto variation of elevation (orography) and roughness length respectively. The variancedue to orography is highest in the 50 x 50 km blocks that contain elevated terrain and islowest in blocks dominated by river plain and open sea. The variance due to roughnessvariation is highest in a variety of settings, where heterogeneity of land cover is large.This can occur in mountainous areas, where land cover type follows elevations (i.e.terrain above or below tree line), or where there is a variety of land uses. As in Badger etal (2010), the total spatial variance of wind speed for each 50 x 50 km block is taken asthe sum of the variance due to orography and variance due to roughness.Risø International Energy Conference 2011 Proceedings Page 221
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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
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Growth in clean and reliable energy
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Conclusion - an ambitious vision an
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"Spurring investments in renewable
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Integrating climate change adaptati
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transport, and finance. Energy prov
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northern South America, the Caribbe
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Table 1: Energy system adaptation s
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More generally, a number of no- or
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6 ReferencesADB, 2005. Climate proo
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Sailor, D.J., Smith, M., Hart, M.,
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Factors affecting stakeholder perce
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Another study conducted in Japan wa
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4 The effect of information on stak
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Furthermore, communication to stake
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Shackley S, McLachlan C, Gough C (2
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Figure 1: Potential CO 2 storage si
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The Upper Jurassic - Lower Cretaceo
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The majority of the individual stru
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Development. Project no. ENK6-CT-19
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Section 5 summarises the key issue
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Table 1. Efficiencies for new large
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In addition, district heating syste
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6.4 Model results from EFDA-TIMESIn
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Maisonnier, D., et al. (2007), Powe
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1Efficiency and effectiveness of pr
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3Stromerzeugung [TWh/a]250200150100
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54 Country-specific Lessons learned
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7100%90%80%quota fullfilment (%)70%
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[5] Haas R., et al: Efficiency and
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The development and diffusion of re
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a. Offshore wind in DenmarkDenmark
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applicants are invited to submit a
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nies that provide upstream and down
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for both technology users and produ
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Trade Disputes over Renewable Energ
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treatment to imported renewable ene
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In Canada, the federal government i
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grid access, subsidies and land off
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In 2010, China’s total wind insta
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Source: Renewables 2010 Global Stat
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Source: REN 21, Renewables 2010 Glo
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Source: adapted from REN21, 2010It
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their precise scope and nature diff
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60 daysBy 2 nd DSBmeetingConsultati
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discriminatory manner on domestic a
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the European Union, the North Ameri
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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
Page 174 and 175: Total PowerP.G. #1P.G. #2C.R. #1201
Page 176 and 177: the availability payment.Simulation
Page 178 and 179: The constraint in Eq. (16) has the
Page 180 and 181: The FlexControl concept - a vision,
Page 182 and 183: can react on requests for power reg
Page 184 and 185: 3 ControlThe concept is based solel
Page 186 and 187: one hour to the next - correspondin
Page 188 and 189: 4 ProtectionThe protection of the p
Page 190 and 191: Session 4 - Efficiency Improvements
Page 192 and 193: the product portfolio point of view
Page 194 and 195: Figure 4: Principle flow sheet of t
Page 196 and 197: process information needed are seld
Page 198 and 199: AIRFINE®(Reference)MEROS®Ca(OH)2M
Page 200 and 201: 4 Conclusion & DiscussionThe Eco-Ca
Page 202 and 203: 1 Energy policy and EU directivesTh
Page 204 and 205: iomass CHP, heat pumps, electric bo
Page 206 and 207: Fig. 1: How to supply a growing hea
Page 208 and 209: Session 5A - Wind Energy IRisø Int
Page 210 and 211: The average cumulative growth rate
Page 212 and 213: turbines is expected to create a st
Page 214 and 215: O&MGridWindturbineSubstructureFigur
Page 216 and 217: Another idea is to harvest energy f
Page 218 and 219: 9. Shimon Awerbuch, Determining the
Page 220 and 221: engaged in wind energy assessment,
Page 222 and 223: treated in such a way to make them
Page 226 and 227: Figure 9: The annual mean power den
Page 228 and 229: mix is required. For example diurna
Page 230 and 231: Session 5B - Wind Energy IIRisø In
Page 232 and 233: TABLE ISOME OF THE WIND TURBINE MAN
Page 234 and 235: China, has prompted all parties, in
Page 236 and 237: to the high shaft speed. Furthermor
Page 238 and 239: Superconductors must be kept cold b
Page 240 and 241: an annual increase in demand of 6%,
Page 242 and 243: Improved High Temperature Supercond
Page 244 and 245: our study to a single set of deposi
Page 246 and 247: 3.2 Yttrium-enriched YBCO thin film
Page 248 and 249: Fig. 5. AC-susceptibility dependenc
Page 250 and 251: The j C (B) dependence at 50 K for
Page 252 and 253: Session 6A - Bioenergy IRisø Inter
Page 254 and 255: The European politicians are faced
Page 256 and 257: The fast growing demand for biomass
Page 258 and 259: Figure 2: Avedøre Power Plant in C
Page 260 and 261: Figure 5: Concept for a sustainable
Page 262 and 263: The role of biomass and CCS in Chin
Page 264 and 265: 2.2.1 CCS Potential for ChinaCCS is
Page 266 and 267: 80%70%60%China's share ofglobal CO
Page 268 and 269: In general, if the CCS technology d
Page 270 and 271: with high implementation of CCS Chi
Page 272 and 273: 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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