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Technological learning in the energy sector : lessons for policy, industry and science / edited by Martin Junginger (assistant professor, science, technology and society, Copernicus Institute, Utrecht University, Utrecht, the Netherlands), Wilfried van Sark (assistant professor, science, technology and society, Copernicus Institute, Utrecht University, Utrecht, the Netherlands), André Faaij (professor, science, technology and society, Copernicus Institute, Utrecht University, Utrecht, the Netherlands)

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Edward Elgar E-Book ArchivePublisher: Cheltenham, U.K ; Northampton, Mass, USA : Edward Elgar, 2010Description: 1 Online-Ressource (xvi, 332 pages) : diagramsISBN:
  • 9781849806848
Subject(s): Additional physical formats: 9781848448346. RVK: RVK: QR 530 | ZP 2900LOC classification:
  • TK1005
DOI: DOI: 10.4337/9781849806848Online resources: Production credits:
  • Technological learning is a key driver behind the improvement of energy technologies and subsequent reduction of production costs. Understanding how and why production costs for energy technologies decline, and whether they will continue to do so in the future, is of crucial importance for policy makers, industrial stakeholders and scientists alike. This timely and informative book therefore provides a comprehensive review of technological development and cost reductions for renewable energy, clean fossil fuel and energy-efficient demand-side technologies. -- It responds to the need for a quality-controlled data set of experience curves, including assessment of measurement methodology, technological knowledge and associated cost. The expert contributors present a thorough overview and discussion of the pitfalls of applying the experience curve approach, including aspects such as geographical system boundaries, whether the slope of the experience curves is constant or not, statistical error and sensitivity analysis of experience curves, and whether the experience curve approach can be utilized to quantify improvements in energy efficiency. A clear set of recommendations for the use of the experience curve approach is also prescribed.
Summary: pt. 1. The use of experience curves for energy technologies : an introduction -- pt. 2. Case studies -- pt. 3. Synthesis and recommendations.Summary: Technological learning is a key driver behind the improvement of energy technologies and subsequent reduction of production costs. Understanding how and why production costs for energy technologies decline, and whether they will continue to do so in the future, is of crucial importance for policy makers, industrial stakeholders and scientists alike. This timely and informative book therefore provides a comprehensive review of technological development and cost reductions for renewable energy, clean fossil fuel and energy-efficient demand-side technologiesPPN: PPN: 1023436825Package identifier: Produktsigel: ZDB-1-EWE
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