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

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 interest.

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