Explaining learning curves for wind power

By Karin Ibenholt. 2002

205 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Finance, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/84634e04aa64486ae65b8ddfcff5c1840a7775bf

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Citations in the corpus

Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies (2007, background): “Indeed, there is considerable variation in the empirical estimates of learning rates for some energy technologies (McDonald and Schrattenholzer, 2001; Ibenholt, 2002).”
A review of learning rates for electricity supply technologies (2015, methodology): “Overall rates span a very large range, from –11% to 35% (Edenhofer et al., 2011; Ibenholt, 2002; Junginger et al., 2005; Kahouli-Brahmi, 2008; Lindman and Söderholm, 2012; McDonald 0% 2% 4% 6% 8% 10% 12% 1980 1985 1990 Le ar ni ng R at e Period McDonald and Schrattenholzer,…”
Global experience curves for wind farms (2005, methodology): “Ibenholt (2002) 92–103 1991–1999 Germany 70–4400 (7) 68% (7) 6.”
Carbon trading in the policy mix (2003, background): “acterized by learning-by-doing, where performance improves and costs fall as production experience is accumulated (Ibenholt, 2002).”
Unraveling the photovoltaic technology learning curve by incorporation of input price changes and scale effects (2011, unknown): “[28] and Ibenholt [29] also assert that cumulative capacity is not the only element determining cost; other factors such as R&D, economies of scale, input prices can change the costs as well.”
A review of uncertainties in technology experience curves (2012, background): “Studies of conventional and renewable energy systems also have employed this equation to calculate technology progress ratios based on cumulative installed capacity (Claeson Colpier, 1999; Ibenholt, 2002; IEA/OECD, 2000; Ostwald and Reisdoft, 1979).”
A Real Options Evaluation Model for the Diffusion Prospects of New Renewable Power Generation Technologies (2008, background): “…of future cost reductions that are based on the extrapolation of historical trends, and in recent years have become popular also in the energy research literature and as a guide for policy-makers (IEA, 2000; Ibenholt, 2002; Junginger et al., 2005; Kamp et al., 2004; Neij, 1997, 1999; among others).”
Wind Power in Europe: A Simultaneous Innovation–Diffusion Model (2007, background): “In the latter type of studies dynamic cost reductions are normally explained by accumulated capacity (e.g., Neij et al., 2004; Ibenholt, 2002; Klaassen et al., 2005).”