Energy Systems and Technologies for the Coming Century ...

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where I (·) is the indicator function. Each observation contributes two terms to theloglikelihood function. The first isjWtj , wherey tj , and the second is minus thelogarithm of the denominator that appears in equation (1). The above explanation dealswith multinomial probability and loglinear models. However our study is based on thenested MNL model (McFadden, 1981). There is a range of advantages to employingMNL model instead of a series of regular logistic regressions. First, when applying allthe data for the estimation rather than subsets so, the estimates are prompter. Secondly,there follows a logical relationship amidst the choices, for instance, if an individualprefers to travel by car to bus and prefers motorcycle to car, he should prefer amotorcycle to a bus, and his relative orientation should be a definite variety ofcombination of the individual preferences. The coefficients once generated representhow the logarithmized probability of choosing one alternative instead of the baseoutcome changes if variable changes from 0 to 1.Various determinants of the mode to transport to work are considered. Table 1 present adescription of variables used in the MNL model. The choice of transport mode isclassified under three distinct categories namely: car, bus and others (motorcycle, taxis,company van/car and on foot). Demographic characteristics include age, gender,household size, education and income level. The travel characteristics described so farconceal significant differences between genders. Males travelling by car outweigh femalecar travelers by more than the double as revealed by the survey. A slightly higherproportion of women are bus passengers. Travelling by motorcycle and other mode tendsto be more of a male characteristic. Next, education level which includes secondary,Risø International Energy Conference 2011 Proceedings Page 392
diploma holders, undergraduates and other qualifications (those possessing mainlyprofessional qualifications from the Association of Chartered Certified Accountants(ACCA), Institute of Chartered Secretaries and Administrators (ICSA), postgraduates andothers), is accounted. Various levels of income are also considered together withhousehold size. An extended family is more likely to have a car than a nuclear one. Adummy variable controlling for the working place such as Port Louis and Ebene isincorporated in the model. Travel expenses can as well affect an individual’s mode oftransport. Likewise, the time lost in congestion can also impact on the transport mode.Table 2 provides the estimates of the MNL model. An important assumption of thismodel is independence of the irrelevant alternatives (IIA) which in line with theassumption of independent disturbances. Alternatives, such as choosing a car, bus orother means of transport, should be independent of each other. The baseline category inthe model is bus as a mode of transport. If the choice sets are dependent, the MNLestimates will be inconsistent. The IIA property can be tested with a Hausmanspecification test for the MNL model (Hausman and McFadden, 1984). Hausman’sspecification test failed to reject the null hypothesis that the difference is not systematic.Their associated χ 2 statistics are 0.00, 0.00 and 0.46 respectively. The IIA conjecturecannot be rejected and hence employing a MNL analysis is not inappropriate.Age is found to have no impact on the choice of travelling either by car or bus. However,as age increases, the odds of choosing of choosing other means of transport rather thanbus increase by about 11.7 times. This can be interpreted as effects of experience. As ageRisø International Energy Conference 2011 Proceedings Page 393
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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
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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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Page 346 and 347: Risø International Energy Conferen
Page 348 and 349: Risø International Energy Conferen
Page 350 and 351: existing renewable energy technolog
Page 352 and 353: useful energyend energysecondary en
Page 354 and 355: parts or the means of enforcing war
Page 356 and 357: The development of micro-hydro proj
Page 358 and 359: Table 1. Electric power generation
Page 360 and 361: 5 ReferencesBajgain, S., Shakya, I.
Page 362 and 363: IntroductionElectricity has become
Page 364 and 365: of 2008, 43.6% of the total populat
Page 366 and 367: Hilmand provinces have comparativel
Page 368 and 369: ….. eq. 5LCOE is the net present
Page 370 and 371: case of Nepal, it is 5% (Trading ec
Page 372 and 373: ing down the cost of solar PV modul
Page 374 and 375: 3.3 Serving the rural areas with na
Page 376 and 377: The levelized costs of electricity
Page 378 and 379: Figure 4. Variation in LCOE with si
Page 380 and 381: The analysis reveals that fuel cost
Page 382 and 383: In case of DG, we have looked with
Page 384 and 385: Gross, R., Blyth, W., Heptonstall,
Page 386 and 387: Mode of Transport to Work, Car Owne
Page 388 and 389: power parity (PPP) basis, GDP per c
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Page 392 and 393: other purposes so that reduced fare
Page 394 and 395: emissions studies is that they were
Page 398 and 399: increases, individuals acquire more
Page 400 and 401: while that of other means of transp
Page 402 and 403: into CO 2 . For all oil and oil pro
Page 404 and 405: impact. In general, income is found
Page 406 and 407: 7 ReferenceAlperovich, G., Deutsch,
Page 408 and 409: Table 1: Definitions of Variables a
Page 410 and 411: Session 13 - Energy StorageRisø In
Page 412 and 413: 2 Storage demand and resulting stor
Page 414 and 415: compressed air storages, demand sit
Page 416 and 417: Fig. 3: Options for underground sto
Page 418 and 419: 3.5 Geological potential in EuropeF
Page 420 and 421: Sensitivity on Battery Prices and C
Page 422 and 423: 3.1 Base caseA northern European en
Page 424 and 425: 4 ResultsThe model is run on a comp
Page 426 and 427: Furthermore, a slight decrease in t
Page 428 and 429: Night time charging increases with
Page 430 and 431: Lithuanian Energy Institute, PSE In
Page 432 and 433: atteries, Compressed Air Energy Sto
Page 434 and 435: negative net load, can be expected
Page 436 and 437: 25%Pct. of the year20%15%10%5%0.5-0
Page 438 and 439: 800006000040000MWh200000Netload-200
Page 440 and 441: [4] B. V. Mathiesen and H. Lund, "C
Page 442 and 443: Compressed Air Energy Storage in Of
Page 444 and 445: 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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