Cost and Performance Assumptions for Modeling Electricity Generation Technologies

By R. Tidball, J. Bluestein, N. Rodriguez, Stu Knoke. 2010

234 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/973d8e306dc57f9c547fd92df76252ca32800d12

How researchers see this paper

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

In Electrical and Electronic Engineering

1. Nilay Shah
2. Daniel M. Kammen
3. Unni Pillai

In Renewable Energy, Sustainability and the Environment

1. Nilay Shah
2. Daniel M. Kammen
3. Unni Pillai

Citations in the corpus

• The unstudied barriers to widespread renewable energy deployment: Fossil fuel price responses (2017, background): “…of renewable power generators is strongly dependent on endogenous technological learning (Gross et al., 2013), while that of fossil fuel generators is mainly determined by the price of the fuel itself, i.e. coal and gas (Gross et al., 2013; IEA, 2007; Tidball et al., 2010; US EIA, 2016).”
• High-resolution modeling of the western North American power system demonstrates low-cost and low-carbon futures (2012, background): “Similarly, the rate of technological progress in the solar industry is uncertain, especially in the 2030 timeframe (Tidball et al., 2010).”
• Drivers of cost reduction in solar photovoltaics (2015, background): “3 These includeWright (1936) in the aircraft industry, Rapping (1965) in the ship building industry, Epple et al.”