C3S Energy: A climate service for the provision of power supply and demand indicators for Europe based on the ERA5 reanalysis and ENTSO-E data

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1002/met.2145. This is version 2 of this Preprint.

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Comment #186 Laurent Dubus @ 2024-11-13 09:21

IMPORTANT: this paper has now been published in Meteorological Applications and should be refereed as follows:

Dubus L., Saint-Drenan Y-M., Troccoli A., De Felice M., Moreau Y., Ho-Tran L., Goodess C., Amaro e Silva R., Sanger L. 2023. C3S Energy: A climate service for the provision of power supply and demand indicators for Europe based on the ERA5 reanalysis and ENTSO-E data. Meteorological Applications 30:e2145.
https://doi.org/10.1002/met.2145

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Authors

Laurent Dubus , Yves-Marie Saint-Drenan, Alberto Troccoli, Matteo De Felice , Yohann Moreau, Lin Ho, Clare Goodess, Luke Sanger

Abstract

The EU Copernicus Climate Change Service (C3S) has produced an operational climate service, called C3S Energy, designed to enable the energy industry and policymakers to assess the impacts of climate variability and climate change on the energy sector in Europe. The C3S Energy service covers different time horizons, for the past 40 years and the future. It provides time series of electricity demand and supply from wind, solar photovoltaic and hydropower, and can be used for recent trends analysis, seasonal outlooks or the assessment of climate change impacts on energy mixes in the long term. This article introduces this service and the resulting dataset, with a focus on the design and validation of the energy conversion models, based on ENTSO-E energy data and the ERA5 climate reanalysis. Flexibility and coherence across all countries have been preferred upon models' accuracy. However, the comparison with ENTSO-E data shows that the models provide plausible energy indicators and, in particular, allow comparing climate variability effects on power demand and generation in a harmonized manner all over Europe.

DOI

https://doi.org/10.31223/X5MM06

Subjects

Applied Statistics, Climate, Earth Sciences, Environmental Sciences, Statistical Models

Keywords

Copernicus Climate Change Service, Energy conversion models

Dates

Published: 2021-11-17 08:20

Last Updated: 2024-11-13 14:21

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License

CC BY Attribution 4.0 International

Additional Metadata

Data Availability (Reason not available):
https://cds.climate.copernicus.eu/cdsapp#!/search?type=dataset&text=energy