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Dataset of hydropower characteristics for creating ramping and generation constraints in aggregated energy system models across European bidding zones

  • University of Oulu

Research output: Contribution to journalArticleScientificpeer-review

Abstract

The dataset was created to support the implementation of ramping and generation constraints for hydropower in large-scale aggregated energy system models. It is based on collected and subsequently processed data from ENTSO-E’s transparency platform, but can be freely applied to models utilising other data sources. Historical generation data builds the basis for the dataset and has been processed into weekly data series for hourly maximum and minimum generation, as well as maximum hourly ramping rates. The proposed constraints are available for different types of hydropower, pumped storage, reservoir and run-of-river, aggregated in the European bidding zones. In addition, one subset of the dataset focuses on the pondage of run-of-river hydropower plants, aiming to provide estimates of storage volumes based on historical cumulative outputs. The dataset was used in [1] to create the operational framework for aggregated hydropower, enabling analysis of lost flexibility at the European scale.

Original languageEnglish
Article number113132
JournalData in Brief
Volume68
DOIs
Publication statusPublished - 2026
MoE publication typeA1 Journal article-refereed

Funding

This research is supported by the University of Oulu & the Research Council of Finland's HYDRA project (357685). The work by Tomi J. Lindroos was funded by the financial support for the green transition by the European Union (number 151, P5C1I2, NextGenerationEU, project REPower-CEST). Jean-Nicolas Louis is supported by the Research Council of Finland strategic project 2IMatch on the just energy transition (358654).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Aggregated hydropower
  • Energy system modelling
  • Europe
  • Flexibility
  • Pondage volume

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