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Status: 
| Verfasst von: | Kyritsis, Evangelos |
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| | Andersson, Jonas |
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| | Serletis, Apostolos |
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| Titel: | Electricity prices, large-scale renewable integration, and policy implications |
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| Verlagsort: | Kidlington |
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| Verlag: | Elsevier Ltd |
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| | Elsevier Science Ltd |
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| Jahr: | 2017 |
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| Fussnoten: | ObjectType-Article-1 ; ObjectType-Feature-2 ; SourceType-Scholarly Journals-1 ; content type line 23 |
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| Inhalt: | This paper investigates the effects of intermittent solar and wind power generation on electricity price formation in Germany. We use daily data from 2010 to 2015, a period with profound modifications in the German electricity market, the most notable being the rapid integration of photovoltaic and wind power sources, as well as the phasing out of nuclear energy. In the context of a GARCH-in-Mean model, we show that both solar and wind power Granger cause electricity prices, that solar power generation reduces the volatility of electricity prices by scaling down the use of peak-load power plants, and that wind power generation increases the volatility of electricity prices by challenging electricity market flexibility.
•We model the impact of solar and wind power generation on day-ahead electricity prices.•We discuss the different nature of renewables in relation to market design.•We explore the impact of renewables on the distributional properties of electricity prices.•Solar and wind reduce electricity prices but affect price volatility in the opposite way.•Solar decreases the probability of electricity price spikes, while wind increases it. |
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| ISSN: | 0301-4215 |
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| Titel Quelle: | Energy policy |
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| Jahr Quelle: | 2017 |
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| Band/Heft Quelle: | 101, S. 550-560 |
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| DOI: | doi:10.1016/j.enpol.2016.11.014 |
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| URL: | http://www.ub.uni-heidelberg.de/cgi-bin/edok?dok=https%3A%2F%2Ffanyv88.com%3A443%2Fhttps%2Fdx.doi.org%2F10.1016%2Fj.enpol.2016.11.014 |
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| | http://www.ub.uni-heidelberg.de/cgi-bin/edok?dok=https%3A%2F%2Ffanyv88.com%3A443%2Fhttps%2Fsearch.proquest.com%2Fdocview%2F1878046775 |
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| | http://www.ub.uni-heidelberg.de/cgi-bin/edok?dok=https%3A%2F%2Ffanyv88.com%3A443%2Fhttps%2Fsearch.proquest.com%2Fdocview%2F1884098026 |
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| | DOI: https://doi.org/10.1016/j.enpol.2016.11.014 |
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| Sprache: | English |
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| Sach-SW: | Autoregressive models |
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| | Electric power generation |
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| | Electricity |
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| | Electricity generation |
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| | Electricity pricing |
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| | GARCH-in-Mean model |
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| | Germany |
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| | Integration |
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| | Intermittency |
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| | Large-scale integration |
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| | Markets |
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| | Merit-order effect |
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| | Nuclear electric power generation |
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| | Nuclear energy |
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| | Nuclear engineering |
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| | Nuclear reactor components |
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| | Nuclear reactors |
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| | Peak load |
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| | Photovoltaics |
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| | Power generation |
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| | Power plants |
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| | Power sources |
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| | Prices |
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| | Renewable energy |
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| | Scaling |
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| | Solar energy |
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| | Solar power |
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| | Solar power generation |
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| | Studies |
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| | Volatility |
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| | Wind energy |
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| | Wind power |
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| | Wind power generation |
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| Verknüpfungen: | → Sammelwerk |
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