Analytical model for solar PV and CSP electricity costs: Present LCOE values and their future evolution

By J. Hernández-Moro, J. M. Martínez-Duart. 2013

465 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/7c665ec9fc7db414c7a3967efad08a1acde52e2a

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In Artificial Intelligence

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

Using the sun to decarbonize the power sector: The economic potential of photovoltaics and concentrating solar power ☆ (2014, background): “Other studies have performed a comparison purely based on LCOE analysis [18]–[21], or have limited their analysis to only one region [22]–[26], and most of the studies have not explicitly looked at scenarios without climate policy.”
The Optimal Share of Variable Renewables: How the Variability of Wind and Solar Power affects their Welfare-optimal Deployment (2012, unknown): “This is consistent with previous findings that the marginal value of solar power drops steeply with penetration, because solar radiation is concentrated in few hours (Nicolosi 2012, Mills & Wiser 2012, Hirth 2013).”
The experience curve theory and its application in the field of electricity generation technologies – A literature review (2018, background): “Solar thermal power plants Two recent studies [74,96] deriving global experience curves for solar thermal power plants include not only solar thermal power plants built during the 1980s in the USA but also plants built more recently (mostly in Spain and the USA).”
Learning curve analysis of concentrated photovoltaic systems (2015, methodology): “However the use of price enables the calculation of LCOE, as in [10], of interest to system developers.”
Assessing current and future techno-economic potential of concentrated solar power and photovoltaic electricity generation (2015, methodology): “scenario) (Sources: [33,34]; Baseline Learning Rates from [18]).”
Levelized cost of electricity for solar photovoltaic and electrical energy storage (2017, background): “The findings show that the LCOE values are highly dependent on the location, due to regional cost differences and variation of irradiance strength, which has a direct effect to the energy output [23].”