The impact of renewable energies on EEX day-ahead electricity prices

Paraschiv, Florentina; Erni, David; Pietsch, R

doi:10.1016/j.enpol.2014.05.004

Cited by 221 publications

(175 citation statements)

References 23 publications

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“…A considerable amount of research has been performed on this topic, whereof [14] provides an comprehensive review until the year 2013 including the assessment region and period, reported price change and a short description of the used approach. Recent publications analysing the relationship between variable wind electricity generation and electricity price behaviour in Germany confirm the decreasing effect on the spot price [14][15][16][17][18]. In addition to that [14], suggests that the impact of wind varies depending on the region and assessment method chosen [16], reports that wind feed-in also increases spot price volatility and [17,18] indicate the load dependence of the merit order effect.…”

Section: Introductionmentioning

confidence: 89%

The market value and impact of offshore wind on the electricity spot market: Evidence from Germany

Ederer

2015

Applied Energy

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Section: Introductionmentioning

confidence: 89%

The market value and impact of offshore wind on the electricity spot market: Evidence from Germany

Ederer

2015

Applied Energy

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“…The fact that the coefficients for morning and evening off-peak hours in Germany are more negative than the coefficient for peak hours indicates that the supply curves for offpeak hours are more sensitive than the supply curves for peak hours. Indeed, Paraschiv et al (2014) find that the impact of wind power on German prices has been up to 3.5 times higher in the morning off-peak than in the peak hours, but the difference has decreased over time. Thus, if there is an increase in wind power production during off-peak hours, then prices will fall more than in peak hours for a comparative increase in wind output.…”

Section: Analysis Of Intraday Effectsmentioning

confidence: 99%

“…In addition to explaining the results of Ketterer (2014) and Mauritzen (2010), our approach of dividing the data into off-peak and peak hours contributes to the literature on estimating the impact of renewable generation on electricity price levels (see Würzburg et al (2013), Mulder and Scholtens (2013), Paraschiv et al (2014), andGelabert et al (2011), for example) by providing insights on how the price-decreasing impact is distributed during the day. To this end, Barthelmie et al (1996) and Holttinen (2005) suggest that Danish wind power peaks in the afternoon and the effect is more pronounced in summers.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Moreover, she notes that regardless of the regulatory change in 2010, which forced the German transmission system operators to publish day-ahead forecasts for VRE generation in their area, the volatility-increasing effect has prevailed. Because the price-decreasing impact of solar power is stable during peak hours (Paraschiv et al, 2014), it is likely that solar power decreases price volatility.…”

Section: Literature Reviewmentioning

confidence: 99%

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Does renewable energy generation decrease the volatility of electricity prices? An analysis of Denmark and Germany

Rintamäki¹,

Siddiqui

Salo³

2017

Energy Economics

167

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Although variable renewable energy (VRE) technologies with zero marginal costs decrease electricity prices, the literature is inconclusive about how the resulting shift in the supply curves impacts price volatility. Because the flexibility to respond to high peak and low offpeak prices is crucial for demand-response applications and may compensate for the losses of conventional generators caused by lower average prices, there is a need to understand how the penetration of VRE affects volatility. In this paper, we build distributed lag models with Danish and German data to estimate the impact of VRE generation on electricity price volatility. We find that in Denmark wind power decreases the daily volatility of prices by flattening the hourly price profile, but in Germany it increases the volatility because it has a stronger impact on off-peak prices. Our analysis suggests that access to flexible generation capacity and wind power generation patterns contribute to these differing impacts. Meanwhile, solar power decreases price volatility in Germany. By contrast, the weekly volatility of prices increases in both areas due to the intermittency of VRE. Thus, policy measures for facilitating the integration of VRE should be tailored to such region-specific patterns.

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“…This assumption is based on works of e. g. Ref. [30], where the authors found out that renewable energy generation has a linkage to the EEX price and is reflected in the curve shape of the EEX prices. For ensuring the comparability between the different models, initially an acceptance rate of the charging queries are set to 95% as a benchmark strategy.…”

Section: Simulation Setupmentioning

confidence: 99%

Integrating renewable energy sources by electric vehicle fleets under uncertainty

Seddig

Jochem

Fïchtner

2017

Energy

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a b s t r a c tElectric vehicles are one of the concepts towards green and sustainable transportation systems. However, several uncertainties with respect to electricity demand and availability of electric vehicles as well as electricity supply by renewable energy sources influence an optimal scheduling through smart charging strategies. This paper investigates the possibilities to integrate additionally loads of uncertain renewable energy sources by smart charging strategies of three different electric vehicle fleets namely, com mercial customers, commuters, and opportunity parkers. Therefore, data from an empiric field test with a public charging infrastructure in a parking garage with a photovoltaic system is taken. Various stra tegies are analyzed, considering the changing individual electricity demand, restrictions and parking times of electric vehicle fleets by combining a Monte Carlo simulation approach with different meth odologies like a heuristic algorithm, an optimization model and stochastic programming. The numerical results indicate that the domestic photovoltaic generation of the car park can be fully used by the electric vehicle fleets for charging and the utilization of photovoltaic can be doubled when comparing uncon trolled and optimized charging strategies. The commuter fleet has the highest CO 2 emission reduction potential of all three electric vehicle fleets. Moreover, load management decreases costs, even when uncertainties are considered.

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The impact of renewable energies on EEX day-ahead electricity prices

Cited by 221 publications

References 23 publications

The market value and impact of offshore wind on the electricity spot market: Evidence from Germany

The market value and impact of offshore wind on the electricity spot market: Evidence from Germany

Does renewable energy generation decrease the volatility of electricity prices? An analysis of Denmark and Germany

Integrating renewable energy sources by electric vehicle fleets under uncertainty

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