High-resolution working layouts and time series for renewable energy generation in Europe

The stability and manageability of power systems with a growing share of renewable energies depend on accurate forecasts and feed-in information. This study provides synthetic wind and solar power generation time series for approximately 1,500 European transmission nodes in hourly resolution from 2019 to 2022, along with data-driven layouts of renewable generator allocations. To create these time series and layouts, we develop weather-to-energy conversions using high-resolution weather data. Based on the conversions and elastic-net optimisation, the layouts, which we refer to as working layouts , represent a theoretical allocation of generators within each country that produces the current (or alternatively any historical) observed energy output characteristics based on the weather data. This work provides the necessary code to update and adapt layouts and time series for use in custom applications. • Weather-to-energy conversions are used to generate a comprehensive data set for renewable energy sources in mainland Europe. • An elastic-net approach generates realistic allocations of onshore wind, offshore wind and PV capacity. • The data set includes estimated layouts of the installed capacity and time series of renewable energy generation for mainland Europe’s transmission network nodes. • The method and model are freely available and can be used to generate results for specific time horizons or tailored to individual needs.

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Publication Details

Journal
Renewable Energy
Published
2024-12-04
DOI
https://doi.org/10.1016/j.renene.2024.121967
Citations
2
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
0.69
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article

High-resolution working layouts and time series for renewable energy generation in Europe

Oliver Grothe, Fabian Kächele, Mira Wälde
2 citations
Renewable Energy
Solar Radiation and Photovoltaics
0.69
article

High-resolution working layouts and time series for renewable energy generation in Europe

Oliver Grothe, Fabian Kächele, Mira Wälde
article en
2 citations

Abstract

The stability and manageability of power systems with a growing share of renewable energies depend on accurate forecasts and feed-in information. This study provides synthetic wind and solar power generation time series for approximately 1,500 European transmission nodes in hourly resolution from 2019 to 2022, along with data-driven layouts of renewable generator allocations. To create these time series and layouts, we develop weather-to-energy conversions using high-resolution weather data. Based on the conversions and elastic-net optimisation, the layouts, which we refer to as working layouts , represent a theoretical allocation of generators within each country that produces the current (or alternatively any historical) observed energy output characteristics based on the weather data. This work provides the necessary code to update and adapt layouts and time series for use in custom applications. • Weather-to-energy conversions are used to generate a comprehensive data set for renewable energy sources in mainland Europe. • An elastic-net approach generates realistic allocations of onshore wind, offshore wind and PV capacity. • The data set includes estimated layouts of the installed capacity and time series of renewable energy generation for mainland Europe’s transmission network nodes. • The method and model are freely available and can be used to generate results for specific time horizons or tailored to individual needs.

Renewable EnergyVol. 239
Karlsruhe Institute of Technology (DE)
Affordable and clean energy
Openalex Percentile: Top 23%
Solar Radiation and Photovoltaics
0.69
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High-resolution working layouts and time series for renewable energy generation in Europe — Oliver Grothe, Fabian Kächele, et al. · Renewable Energy (2024) | TGRS Research Map | TGRS