Technological Learning in the Energy Sector

Technological Learning in the Energy Sector : Lessons for Policy, Industry and Science

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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. Providing a significant contribution to the current literature on energy and climate models, scenario analysis, and methodological lessons on experience curves, this book will strongly appeal to academics and students in the areas focusing on energy and public sector economics. Policy makers in these fields will also find the book to be of great more

Product details

  • Hardback | 352 pages
  • 157.48 x 236.22 x 25.4mm | 657.71g
  • Edward Elgar Publishing Ltd
  • Cheltenham, United Kingdom
  • English
  • 1848448341
  • 9781848448346

Table of contents

Contents: Foreword 1. Introduction 2. The Experience Curve Approach - History, Methodological Aspects and Applications 3. General Aspects and Caveats of Experience Curve Analysis 4. Putting Experience Curves in Context: Links to and between Technology Development, Market Diffusion, Learning Mechanisms and Systems Innovation Theory 5. The Use of Experience Curves in Energy Models 6. Onshore Wind Energy 7. Offshore Wind Energy 8. Photovoltaic Solar Energy 9. Concentrating Solar Thermal Electricity Technology 10. Bioenergy 11. Combined Cycle Gas Turbine (CCGT) Plants 12. Pulverised Coal-fired Power Plants 13. Carbon Dioxide Capture and Storage (CCS) Technologies 14. Nuclear Power 15. Household Appliances 16. Lighting Technologies 17. Space Heating and Cooling 18. The Chemical Sector 19. Overview and Comparison of Experience Curves for Energy Technologies 20. Methodological Lessons and Recommendations for Scientists and Modellers 21. Lessons on Technological Learning for Policy Makers and Industry Referencesshow more

Review quote

'This expert analysis provides an important contribution to understanding the technicalities of energy technology cost dynamics. Given the urgent need for delivery of low-cost renewable energy technologies in particular, it is vital to understand how to accelerate this process of technological learning.' - Miguel Mendonca, World Future Council, Germany ' Experience curvesA" are an important instrument for policy makers. This book has a thorough discussion of such curvesA" for a large number of energy technologies and will therefore be very useful around the world.' - Jose Goldemberg, University of Sao Paulo, Brazilshow more

About Martin Junginger

Edited by Martin Junginger, Assistant Professor, Wilfried van Sark, Assistant Professor and André Faaij, Professor, Copernicus Institute, Utrecht University, The Netherlandsshow more