02843cam a22003855i 450000100090000000300040000900500170001300600190003000700150004900800410006402000180010502000260012304000110014908200210016010000200018121000390020124501410024026000540038130000340043549000440046950504130051350600430092652011110096965000130208065000170209365000300211065000150214065000160215571000340217177300200220577300400222577600360226583000330230185601230233410807934OSt20150730014546.0m        d        cr  n         140516s2014    gw |    s    |||| 0|eng d  a9783319057804  a9783319057798 (print)  dWaSeSS04a621.042bWFR2231 aWagner, Fabian.10aRenewables in Future Power Systems10aRenewables in Future Power Systemsh[electronic resource] :bImplications of Technological Learning and Uncertainty /cby Fabian Wagner.  aCham :bSpringer International Publishing,c2014.  axvi, 291 p. :bill. ;c24 cm.1 aGreen Energy and Technology,x1865-35290 aIntroduction -- Renewables in power generation: Status quo -- Methods for energy system modeling -- Technological change and the experience curve -- Optimal investment strategy for competing learning technologies: An analytical approach -- Optimal future deployment of renewable power technologies: A system model approach -- Implications of uncertainty for renewable power deployment -- Summary and outlook.  aLicense restrictions may limit access.  aThe book examines the future deployment of renewable power from a normative point of view. It identifies properties characterizing the cost-optimal transition towards a renewable power system and analyzes the key drivers behind this transition. Among those drivers, particular attention is paid to technological cost reductions and the implications of uncertainty. From a methodological perspective, the main contributions of this book relate to the field of endogenous learning and uncertainty in optimizing energy system models. The primary objective here is closing the gap between the strand of literature covering renewable potential analyses on the one side and energy system modeling with endogenous technological change on the other side. The models applied in this book demonstrate that fundamental changes must occur to transform today's power sector into a more sustainable one over the course of this century. Apart from its methodological contributions, this work is also intended to provide practically relevant insights regarding the long-term competitiveness of renewable power generation.  0aPhysics. 0aEngineering. 0aRenewable energy sources. 0aEconomics.24aComplexity.2 aSpringerLink (Online service)0 tSpringer eBooks 0tSpringerLINK ebooks - Energy (2014)08iPrinted edition:z9783319057798 0aGreen Energy and Technology,40uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio10807934zFull text available from SpringerLINK ebooks - Energy (2014)