Prospects for PV: a learning curve analysis

By Bob van der Zwaan, A. Rabl. 2003

226 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Pollution

View Paper: https://www.semanticscholar.org/paper/775b5bd887b6173ce5d31d5ad3851abb83687191

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Sonia Yeh
2. Edward S. Rubin
3. W. van Sark
4. Gregory F. Nemet
5. E. Alsema
6. Nilay Shah
7. J. Bergh
8. Niall Mac Dowell

In Environmental Engineering

1. Gregory F. Nemet
2. J. Bergh
3. Iain Staffell
4. Joshua M. Pearce
5. Sonia Yeh
6. Edward S. Rubin
7. Inês Lima Azevedo

In Pollution

1. Kunal K. Shah
2. A. S. Mundada
3. Gregory F. Nemet
4. J. Bergh
5. Iain Staffell
6. Joshua M. Pearce
7. Edward S. Rubin
8. W. van Sark

Citations in the corpus

• Power capacity expansion planning considering endogenous technology cost learning (vol 204, pg 831, 2017) (2017, background): “Cost reductions in the solar industry have been studied by van der Zwaan [31] and Nemet [20].”
• Levelized cost of electricity for solar photovoltaic, battery and cogen hybrid systems (2016, background): “As the demand for PV installation continues to increase, the costs continue to decline feeding a virtuous cycle [14-19].”
• A review of uncertainties in technology experience curves (2012, background): “…technologies (IEA/OECD, 2000; McDonald and Schrattenholzer, 2001; Neij, 1997, 1999; Neij et al., 2004; Nemet, 2006; Rose and Joskow, 1990; van der Zwaan and Rabl, 2003; Yeh and Rubin, 2007), fuel technology (Goldemberg et al., 2004; Hettinga et al., 2009; Junginger et al., 2006; Rubin et al.,…”
• Environmental and climate innovation: Limitations, policies and prices (2013, background): “One would expect an even larger difference given that the learning curve of solar PV shows a higher progress rate than that of wind, which has been largely attributed to R&D investments (van der Zwaan and Rabl, 2003).”
• Interim monitoring of cost dynamics for publicly supported energy technologies (2009, methodology): “While this model is a stylized representation of the more detailed analytical models used to inform policy decisions, it retains the core methodology developed by Williams and Terzian (1993), Duke and Kammen (1999), and van der Zwaan and Rabl (2003).”