An ex-post analysis of the effect of renewables and cogeneration on Spanish electricity prices

By Liliana Gelabert, X. Labandeira, Pedro Linares. 2011

296 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/da7ebc37a745d240483cbea4bca2a9495503ce6d

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Citations in the corpus

The Merit-Order Effect in the Italian Power Market: The Impact of Solar and Wind Generation on National Wholesale Electricity Prices (2015, methodology): “In this way we reduce excessive and unwanted noise that may arise from using hourly data (Gelabert et al. 2011) and we reduce the intra-day price volatility that arises from intermittent RES power generation 13 .”
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 cannibalization effect of wind and solar in the California wholesale electricity market (2020, background): “However, increasing shares of zero marginal cost electricity pressure wholesale electricity prices downwards (Clò et al., 2015; Cludius et al., 2014; Gelabert et al., 2011; Sensfuß et al., 2008; Woo et al., 2016), harming the unit revenues of renewable generator themselves, and jeopardizing their co”
Competition in Electricity Markets with Renewable Energy Sources (2017, methodology): “This model was first developed by Klemperer and Meyer (1989), and later applied in the wholesale electricity markets by Green and Newbery (1992); Rudkevich, Duckworth and Rosen (1998); Baldick and Hogan (2002); Baldick, Grant and Kahn (2004). In the Cournot model, instead of a supply function, each ”
Does renewable energy generation decrease the volatility of electricity prices? An analysis of Denmark and Germany (2017, background): “…on estimating the impact of renewable generation on electricity price levels (see Würzburg et al. (2013), Mulder and Scholtens (2013), Paraschiv et al. (2014), and Gelabert et al. (2011), for example) by providing insights on how the price-decreasing impact is distributed during the day.”
Renewable Generation and Electricity Prices: Taking Stock and New Evidence for Germany and Austria (2013, methodology): “We construct a multivariate regression model similar to Gelabert et al. (2011). The electricity price (Pelec) is the dependent variable, and the explanatory variables are the demand of electricity (Load), the renewable electricity production from solar and wind (RE), the gas price (Pgas), and the ex”