Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
RE-Europe, a large-scale dataset for modeling a highly renewable European electricity system
Future highly renewable energy systems will couple to complex weather and climate dynamics. This coupling is generally not captured(R2.8) in detailby the open models developed in the power and energy system communities, where such open models exist. To enable modeling such a future energy system, we describe a dedicated large-scale dataset for a renewable electric power system. The dataset combines a transmission network model, as well as information for generation and demand. Generation includes conventional generators with their technical and economic characteristics, as well as weather-driven forecasts and corresponding realizations for renewable energy generation for a period of 3 years.(R2.9) These may be scaled according to the envisioned degrees of renewable penetration in a future European energy system.(R2.10) The spatial coverage, completeness and resolution of this dataset, open the door to the evaluation, scaling analysis and replicability check of a wealth of proposals in, e.g., market design, network actor coordination and forecastingof renewable power generation.
RE-Europe, a large-scale dataset for modeling a highly renewable European electricity system
Future highly renewable energy systems will couple to complex weather and climate dynamics. This coupling is generally not captured(R2.8) in detailby the open models developed in the power and energy system communities, where such open models exist. To enable modeling such a future energy system, we describe a dedicated large-scale dataset for a renewable electric power system. The dataset combines a transmission network model, as well as information for generation and demand. Generation includes conventional generators with their technical and economic characteristics, as well as weather-driven forecasts and corresponding realizations for renewable energy generation for a period of 3 years.(R2.9) These may be scaled according to the envisioned degrees of renewable penetration in a future European energy system.(R2.10) The spatial coverage, completeness and resolution of this dataset, open the door to the evaluation, scaling analysis and replicability check of a wealth of proposals in, e.g., market design, network actor coordination and forecastingof renewable power generation.
RE-Europe, a large-scale dataset for modeling a highly renewable European electricity system
Jensen, Tue Vissing (Autor:in) / Pinson, Pierre (Autor:in)
01.01.2017
Jensen , T V & Pinson , P 2017 , ' RE-Europe, a large-scale dataset for modeling a highly renewable European electricity system ' , Scientific Data , vol. 4 , 170175 . https://doi.org/10.1038/sdata.2017.175
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
690
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