Learning Rates for Energy Technologies

McDonald, A. & Schrattenholzer, L. (2001). Learning Rates for Energy Technologies. IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RR-01-014. Reprinted from Energy Policy, 29:255-261 [2001]. 10.1016/S0301-4215(00)00122-1.

Preview

Text RR-01-14.pdf - Published Version Available under License Creative Commons Attribution. Download (4MB) | Preview

Abstract

Technological learning, i.e., cost reductions as technology manufacturers accumulate experience, is increasingly being incorporated in models to assess long-term energy strategies and greenhouse gas emissions. Most of these applications use learning rates based on studies of non-energy technologies, or sparse results from a few energy studies. This report is a step towards a larger empirical basis for choosing learning rates (or learning rate distributions) of energy conversion technologies of energy models. We assemble data on experience accumulation and cost reductions for a number of energy technologies, estimate learning rates for the resulting 26 data sets, analyze their variability, and evaluate their usefulness for applications in long-term energy models.

Actions (login required)

View Item