Renewable Generation and Electricity Prices: Taking Stock and New Evidence for Germany and Austria
By Klaas Würzburg, X. Labandeira, Pedro Linares. 2013
338 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/bb469090d4631ef7c5920099c96a254c3d33edab
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
- Florian Ziel
- R. Steinert
- Stefano Cló
- Alessandra Cataldi
- Tuomas Rintamäki
- Tiho Ancev
- Nilay Shah
- Asuman E. Ozdaglar
In Renewable Energy, Sustainability and the Environment
- Florian Ziel
- R. Steinert
- Stefano Cló
- Alessandra Cataldi
- Nilay Shah
- Mariana Aguirre
- Ahti Salo
- Pietro Zoppoli
Citations in the corpus
- A retrospective analysis of benefits and impacts of U.S. renewable portfolio standards (2016, background): “More generally, a broad literature review conducted by Würzburg et al. (2013) created a common metric of $/MWh-RE per % of renewables across many studies, primarily from Europe.”
- Determinants of Renewable Energy Growth: A Global Sample Analysis (2014, background): “Another strand of literature shows that renewables deployment reduces electricity prices (see Gelabert et al., 2011; Sensfuß et al., 2008; Würzburg et al., 2013).”
- The merit order effect of wind and photovoltaic electricity generation in Germany 2008–2016: Estimation and distributional implications (2014, background): “The estimated merit order effects range from -0.97 to -2.27 €/MWh for wind and from -0.84 to -1.37 €/MWh for PV. Würzburg et al. (2013) note that they expect differing impacts of PV and wind using data of such high frequency, especially that the specific effect of PV would be higher, because it…”
- Efficient modeling and forecasting of electricity spot prices (2014, positive): “Another multivariate regression approach was applied to German and Austrian electricity prices by W¨urzburg et al. (2013), where, among other time series, wind and solar power were examined and also led to a reduction in price.”
- Does renewable energy generation decrease the volatility of electricity prices? An analysis of Denmark and Germany (2017, background): “levels ([13], [15], and [16], for example) by providing insights on how the price-decreasing impact is distributed during the day.”
- Competition in Electricity Markets with Renewable Energy Sources (2017, background): “Similarly, Wurzburg, Labandeira and Linares (2013) analyze the size of MoE and show that the size varies depending on the region and the assessment method chosen.”
- The Merit-Order Effect in the Italian Power Market: The Impact of Solar and Wind Generation on National Wholesale Electricity Prices (2015, methodology): “Various papers find empirical evidence of the merit-order effect in various countries: Germany (Ketterer 2012, Wurzburg et al. 2013), Spain (Gelabert et al. 2011), Israel 6 The GSE (Gestore dei Servizi Energetici) is the public institution which directly pays the economic incentives to the…”
- The effect of wind and solar power generation on wholesale electricity prices in Australia (2019, background): “The empirical findings from the literature are consistent across many European countries and the USA in that there is a strong evidence that WT and PV sourced electricity lowers the wholesale electricity price.”
- The unstudied barriers to widespread renewable energy deployment: Fossil fuel price responses (2017, background): “A review of the literature (Browne et al., 2015; Clò et al., 2015; De Vos, 2015; Dillig et al., 2016; Paraschiv et al., 2014; Pöyry, 2010; Würzburg et al., 2013) shows that, thanks to its low marginal cost, the deployment of this type of renewable generators tends to reduce electricity wholesale spo”
- The renewable energy policy Paradox (2018, background): “Deployment of renewables tends to decrease spot electricity prices and, at the same time, increase their volatility, as pointed out by Browne et al. (2015), Clò et al. (2015), Würzburg et al. (2013), Paraschiv et al. (2014) and Dillig et al. (2016), among others.”