Experience curves: A tool for energy policy assessment
By Lena Neij, P. Andersen, M. Durstewitz, P. Helby, M. Hoppe-Kilpper, P. Morthorst. 2003
155 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/142a0f3084250dbc367cbee27bd5528a840d748b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Gunnar Luderer
- R. Pietzcker
- Nico Bauer
- Sonia Yeh
- Elmar Kriegler
- Edward S. Rubin
- Marian Leimbach
- C. Bertram
Citations in the corpus
- How predictable is technological progress (2015, unknown): “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).”
- A review of learning rates for electricity supply technologies (2015, background): “Different markers (and colors) denote the different studies. and Schrattenholzer, 2001; Neij, 2008; Neij et al., 2003; Nemet, 2009; Priddle, 2000; Qiu and Anadon, 2012; Trappey et al., 2013; Weiss et al., 2010).”
- The impact of technological change on climate protection and welfare: Insights from the model MIND (2005, background): “For example, this effect has been observed in the German wind energy sector, which has experienced a phase of rapid growth because of public subsidies (Neij et al., 2003).”
- Study on the energy savings potentials in EU member states, candidate countries and EEA countries : final report (2011, background): “As indicator for the experience often the cumulated capacity produced or installed (Neij et al. 2003) or the cumulated energy supplied are used on the supply side.”
- An economic perspective on experience curves and dynamic economies in renewable energy technologies (2006, methodology): “The wind data are the same as that used to estimate experience in Neij et al. (2003).”
- Description of the REMIND Model (Version 1.6) (2015, methodology): “Techno-economic characteristics of technologies based on non-biomass renewable energy sources (Neij et al. 2003; Nitsch et al. 2004; IEA 2007a; Junginger et al. 2008; Pietzcker et al. 2014)”
- Understanding the reductions in US corn ethanol production costs: an experience curve approach (2009, background): “For an overview, see Neij et al. (2003) or Junginger (2005).”