Title: Learning curves and technology assessment

Authors: Alan McDonald, Leo Schrattenholzer

Addresses: Environmentally Compatible Energy Strategies (ECS) Project, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria . Environmentally Compatible Energy Strategies (ECS) Project, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria

Abstract: This paper uses the formal concept of learning curves to analyse regular behaviour of performance improvements in various energy technologies. The concept allows the estimation of a single indicator of technological progress, the learning rate, which expresses the constant percentage improvement (usually in terms of cost reductions) in a technology for each doubling of the technologies cumulative installed capacity. We present 42 energy-related learning rates, either calculated directly from available data or assembled from the literature. We elaborate briefly on eight of these to illustrate issues addressed by technology assessments to convert these raw historical learning rates into prospective learning rate distributions for use in long-term energy models. The paper includes a sensitivity analysis of policy- relevant variables with respect to learning rates, a discussion of possible extensions and limitations of the approach and an outlook on future work in the field.

Keywords: technological learning; technology assessment; energy; energy modelling.

DOI: 10.1504/IJTM.2002.003035

International Journal of Technology Management, 2002 Vol.23 No.7/8, pp.718-745

Published online: 10 Jul 2003 *

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