RE-Europe, a large-scale dataset for modeling a highly renewable European electricity system

Tue Vissing Jensen; Pierre Pinson

doi:10.1038/sdata.2017.175

RE-Europe, a large-scale dataset for modeling a highly renewable European electricity system

Tue Vissing Jensen
, Pierre Pinson

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Abstract

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.

Original language	English
Article number	170175
Journal	Scientific Data
Volume	4
Number of pages	31
ISSN	2052-4463
DOIs	https://doi.org/10.1038/sdata.2017.175
Publication status	Published - 2017

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SDG 7 Affordable and Clean Energy

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Pinson et al 2017 Scientific DataFinal published version, 1.84 MB

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title = "RE-Europe, a large-scale dataset for modeling a highly renewable European electricity system",

abstract = "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. ",

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AB - 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.

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DO - 10.1038/sdata.2017.175

M3 - Journal article

C2 - 29182600

SN - 2052-4463

VL - 4

JO - Scientific Data

JF - Scientific Data

M1 - 170175

ER -

RE-Europe, a large-scale dataset for modeling a highly renewable European electricity system

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