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03408nam a22005535i 4500 |
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978-3-319-05780-4 |
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DE-He213 |
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20151204163217.0 |
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140321s2014 gw | s |||| 0|eng d |
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|a 9783319057804
|9 978-3-319-05780-4
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|a 10.1007/978-3-319-05780-4
|2 doi
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|d GrThAP
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|a TJ807-830
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|a THX
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|a TEC031010
|2 bisacsh
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|a 621.042
|2 23
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|a Wagner, Fabian.
|e author.
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|a Renewables in Future Power Systems
|h [electronic resource] :
|b Implications of Technological Learning and Uncertainty /
|c by Fabian Wagner.
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264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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300 |
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|a XVI, 291 p. 70 illus., 14 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Green Energy and Technology,
|x 1865-3529
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|a Introduction -- 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.
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|a The 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. .
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650 |
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|a Energy.
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|a Renewable energy resources.
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650 |
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|a Energy policy.
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650 |
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|a Energy and state.
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650 |
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|a Complexity, Computational.
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650 |
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|a Renewable energy sources.
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650 |
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|a Alternate energy sources.
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650 |
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|a Green energy industries.
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|a Economic policy.
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650 |
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|a Energy.
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|a Renewable and Green Energy.
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650 |
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4 |
|a Complexity.
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650 |
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4 |
|a R & D/Technology Policy.
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650 |
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4 |
|a Energy Policy, Economics and Management.
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710 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
0 |
8 |
|i Printed edition:
|z 9783319057798
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830 |
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|a Green Energy and Technology,
|x 1865-3529
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856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-05780-4
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENE
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950 |
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|a Energy (Springer-40367)
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