Renewables in Future Power Systems: Implications of Technological Learning and Uncertainty (Green Energy and Technology) - Image 1

£75.84

Springer Renewables in Future Power Systems: Implications of Technological Learning and Uncertainty (Green Energy and Technology)

Name: Renewables in Future Power Systems: Implications of Technological Learning and Uncertainty (Green Energy and Technology)
Brand: Springer
Price: 75.73 GBP
Availability: InStock

Economic Policy & Development

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Product Description 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. From the Back Cover 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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3319359894
Category: Books > Subjects > Business, Finance & Law > Economics > Economic Policy & Development
Domain: Amazon UK
Release Date: 29 September 2016
Listed Since: 29 September 2016

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Springer Renewables in Future Power Systems: Implications of Technological Learning and Uncertainty (Green Energy and Technology)

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