Beyond the learning curve: factors influencing cost reductions in photovoltaics

By Gregory F. Nemet. 2006

770 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/841135af190758085a9681ec0ce1ba26d5b25d44

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Citations in the corpus

What Should We Expect from Innovation? A Model-Based Assessment of the Environmental and Mitigation Cost Implications of Climate-Related R&D (2010, background): “This formulation is meant to overcome the limitations of single factor experience curves, in which the cost of a technology declines only through “pure” LbD effects from technology diffusion, without the need for R&D investment (Nemet, 2006).”
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].”
Renewable energy sources: Their global potential for the first-half of the 21st century at a global level: An integrated approach (2007, background): “Table 3 Estimates of future cost range of WSB electricity options (sources: Rogner, 2000; IEA, 2000; WEA, 2000; Nakicenovic et al., 2000; Ericsson and Nillson, 2004; ATLAS, 2005; Kobos et al., 2005; Nemet, 2005)”
The dynamics of solar PV costs and prices as a challenge for technology forecasting (2013, background): “2), the latter not coinciding with a high market growth rate, but possibly instead reflecting the impact of R&D investments made before 1990s [9,14].”
Assessing the Strength and Effectiveness of Renewable Electricity Feed-In Tariffs in European Union Countries (2011, methodology): “Nemet (2007) collected data from 156 learning curve studies and found a similar linear fit for PV cost deduction, starting in the late 1980’s.”
Accuracy of progress ratios determined from experience curves: the case of crystalline silicon photovoltaic module technology development (2008, background): “Nemet has reported that indeed plant size and module efficiency together account for 73% of the module price reductions in the period 1980–2001; only 12% reduction is due to silicon feedstock price reductions.(27) Amodule cost analysis in the year 2000 showed that the feedstock constitutes about 30%”
The political logics of clean energy transitions (2018, neutral): “25 Nemet (2006).”
Market value of solar power: Is photovoltaics cost-competitive? (2015, background): “[7]-[9] discuss and quantify the drivers for solar cost reductions, such as learning curves.”
Energy-Technology Innovation (2006, background): “Indeed, it has been shown that the ability to raise capital and to take on the risk of large investments, in combination with lower purified silicon prices (a spillover from the semiconductor industry), mainly led to the ability of solar PV firms to lower unit costs and increase production of solar ”