Overview
- Analyzes the cost-optimal transition towards a renewable power system using advanced optimization methods
- Bridges the gap between the strand of literature covering renewable potential analyses on the one hand and energy system modeling with endogenous technological change on the other
- Gives practically relevant insights regarding the long-term competitiveness of renewable power generation
Part of the book series: Green Energy and Technology (GREEN)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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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Authors and Affiliations
Bibliographic Information
Book Title: Renewables in Future Power Systems
Book Subtitle: Implications of Technological Learning and Uncertainty
Authors: Fabian Wagner
Series Title: Green Energy and Technology
DOI: https://doi.org/10.1007/978-3-319-05780-4
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-05779-8Published: 02 April 2014
Softcover ISBN: 978-3-319-35989-2Published: 29 September 2016
eBook ISBN: 978-3-319-05780-4Published: 21 March 2014
Series ISSN: 1865-3529
Series E-ISSN: 1865-3537
Edition Number: 1
Number of Pages: XVI, 291
Number of Illustrations: 56 b/w illustrations, 14 illustrations in colour
Topics: Renewable and Green Energy, Complexity, R & D/Technology Policy, Energy Policy, Economics and Management