Learning rates for energy technologies
By Alan McDonald, Leo Schrattenholzer. 2001
942 citations recorded by the source corpus.
Subfields: Environmental Engineering, Management Science and Operations Research, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/276056cc6f9410145cc8ddf7ff5301a267eaf0b5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- David Popp
- Edward S. Rubin
- Sonia Yeh
- Gregory F. Nemet
- Ottmar Edenhofer
- Patrik Söderholm
- Keywan Riahi
- Gunnar Luderer
In Management Science and Operations Research
- Edward S. Rubin
- Sonia Yeh
- Gregory F. Nemet
- Richard G. Newell
- David Popp
- Carlo Carraro
- Adam B. Jaffe
- Patrik Söderholm
In Renewable Energy, Sustainability and the Environment
- David Popp
- Ottmar Edenhofer
- Richard G. Newell
- Edward S. Rubin
- Sonia Yeh
- Bob van der Zwaan
- Reyer Gerlagh
- Carlo Carraro
Citations in the corpus
- Technological change in economic models of environmental policy: a survey (2002, positive): “A recent overview of experience accumulation and cost reduction for a number of energy technologies is given by McDonald and Schrattenholzer (2001).”
- Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies (2007, background): “Since 1990s, the pressing need for economic and policy analysis of energy technologies has been an important source of interest in application of learning curves to this area (Papineau, 2006; McDonald and Schrattenholzer, 2001; Criqui et al., 2000; IEA, 2000).”
- How predictable is technological progress (2015, neutral): “The database has been constructed from personal communications and from Colpier & Cornland (2002), Goldemberg et al. (2004), Lieberman (1984), Lipman & Sperling (1999), Zhao (1999), McDonald & Schrattenholzer (2001), Neij et al. (2003), Moore (2006), Nemet (2006), Schilling & Esmundo (2009).”
- Learning curve analysis of concentrated photovoltaic systems (2015, methodology): “We can investigate the relationship between CPV deployment volume and system price using a learning curve analysis (also known as experience curve analysis), which has been used to model prices of many technologically intensive products including automobiles, aircraft, military equipment [35] and en”