Global experience curves for wind farms

By M. Junginger, André P. C. Faaij, Wim Turkenburg. 2005

388 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Finance, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/868d723441ba0e7edf6f6dd69d1f45803d3e31f1

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In Aerospace Engineering

In Finance

In Management Science and Operations Research

Citations in the corpus

Power capacity expansion planning considering endogenous technology cost learning (vol 204, pg 831, 2017) (2017, background): “Differences in local and global technology diffusion across enterprises, industries, and countries has been studied empirically [16, 17] and within energy system models (section 2.”
Competition between biofuels: Modeling technological learning and cost reductions over time (2010, background): “natural gas turbines [31], wind turbines [32] and fluidized bed”
Meta-analysis of net energy return for wind power systems (2010, background): “The dramatic cost reductions in the manufacture of new wind turbines that has characterized the past two decades may be slowing [15] due to a variety of economic, financial, and technical reasons.”
Energy policies for sustainable development in South Africa's residential and electricity sectors Implications for mitigating climate change (2007, background): “In addition to the International Energy Association’s (IEA) overall work, specific progress ratios for wind have been published, around 87% (Junginger et al. 2004; Laitner 2002), and for solar thermal electric – 89% for power towers and 83% for parabolic troughs (Laitner 2002; NREL 1999; World Bank ”
Renewable energy in Saudi Arabia: current status and future potentials (2015, background): “While in Saudi Arabia consumption of electricity produced from wind power still too low compared to many recognized developed countries relying on such form of energy as Germany, USA, Denmark, Spain and India which account for 80 % of the world’s installed wind energy capacity (Junginger et al. 2005”
Beyond the learning curve: factors influencing cost reductions in photovoltaics (2006, background): “Junginger et al. (2005) articulated the need for such an international view and as a result developed a global experience curve for wind power.”
A Real Options Evaluation Model for the Diffusion Prospects of New Renewable Power Generation Technologies (2008, methodology): “…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).”