Mopo — Comprehensive, fast, user-friendly and thoroughly validated open-source energy system planning framework

Part of EU Open Research Repository
Published February 9, 2026 | Version v1
Dataset Open

Mopo pan-European VRE data: Climate change projections

Authors/Creators

  • 1. Technical University of Denmark

Description

This dataset provides simulated hourly wind and solar PV generation time series used in the Mopo project for pan‑European energy system modeling. The modeling framework follows https://doi.org/10.5281/zenodo.17950647 (validated in Nayak et al. (2025)), extended here to run on climate projections.

Climate inputs come from two models from the Copernicus Climate Change Service (2024): MPI‑ESM1‑2‑HR (MEHR)and EC‑Earth3 (ECE3). For each model, two scenarios are simulated: SSP2‑4.5, representing an intermediate “middle‑of‑the‑road” pathway, and SSP5‑8.5, representing a very high‑emission pathway. This yields four climate projections covering 2015–2100 at hourly resolution. Following Luzia (2023), wind speeds in all projections are scaled using GWA2.

Each climate projection includes:

  • Solar PV: 3 simulated PV technologies.
  • Offshore wind: 4 specific technologies (2 bottom‑fixed (FB) and 2 floating (FO)) plus an “existing” configuration.
  • Onshore wind: 9 specific technologies plus an “existing” configuration.

“Existing” runs represent installations characteristic of 2020 in the analyzed regions, while “specific technology” runs represent possible future VRE installations. See https://doi.org/10.5281/zenodo.17950647 for more details about the simulated VRE technologies and regions.

Files

Mopo_VRE_data_pan-European_to_Zenodo_2026_Climate_projections.zip

Files (12.6 GB)

Additional details

Related works

Continues
Dataset: 10.5281/zenodo.17950647 (DOI)

Funding

European Commission
Mopo - Comprehensive, fast, user-friendly and thoroughly validated open-source energy system planning framework 101095998

Software

Repository URL
https://gitlab.windenergy.dtu.dk/corres/corres

References

  • S. Nayak, E. Simutis, J. P. Murcia Leon, B. T. Olsen, M. J. Koivisto, "Validation of European wind generation time series simulation: Importance of wakes, micro-scale adjustments and stochastic simulations", Applied Energy, vol 402, part A, 2025 (https://doi.org/10.1016/j.apenergy.2025.126882).
  • G. Luzia, M. J. Koivisto, A. N. Hahmann, "Validating EURO-CORDEX climate simulations for modelling European wind power generation", Renewable Energy, vol. 217, 2023 (https://doi.org/10.1016/j.renene.2023.118989).
  • Copernicus Climate Change Service (2024): Climate and energy related variables from the Pan-European Climate Database derived from reanalysis and climate projections. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: https://doi.org/10.24381/cds.f323c5ec