Dataset for Influence of climate change on the residential cooling demand in low-voltage distribution networks

DOI

This dataset provides simulation results investigating the combined impacts of climate change and air conditioning (AC) adoption on low-voltage distribution grids in the diploma thesis: Buchmeier, J. (2025). Impact of Climate Scenarios and Air Conditioning Penetration on Low-Voltage Grid Stability. Diploma Thesis, TU Wien. https://doi.org/10.34726/hss.2025.133331

The dataset includes:

Building-level profiles: Cooling demand, photovoltaic generation, and electrical baseload for ~103 buildings

Grid-level impacts: Transformer loading, cable loading, and node voltages

Climate scenarios: RCP4.5, RCP8.5 (both 2034), and Heatwave (extreme summer event)

AC penetration levels: 10%, 25%, 50%, 75%, and 100%

All data is provided at 15-minute resolution for the cooling season (May 1 – September 30). The dataset was created as part of the INFRADAPT project, funded by the Climate and Energy Fund under the program Energieforschung 2022.The dataset uses the SECURES-MET Climate Data for temperature and irradiation data in RCP4.5 and RCP8.5 scenarios for Vienna(AT130).And it uses SimBench Grid Models, namely LV Rural 3 for the base grid, PV adoption and baseload profiles.Detailed description is given in the README and the Diploma Thesis.The dataset contains reproduction scripts to reproduce most of the Diploma Thesis plots.

Keywords: low-voltage grids, climate change, air conditioning, power system simulation, RCP scenarios, grid stabilityLicense: all data is licensed by CC-BY-4.0 and all software by MITDOI: 10.48436/krdb5-dn585

Sources:

SECURES-MET Climate DataFormayer, H., Maier, P., et al. (2023). SECURES-Met - A European wide meteorological data set suitable for electricity modelling (supply and demand) for historical climate and climate change projections [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7907883

Used for: Temperature and irradiance time series for RCP4.5, RCP8.5, and Heatwave scenarios.

SimBench Grid ModelsUniversity of Kassel, Fraunhofer IEE, RWTH Aachen University, TU Dortmund (2019). SimBench - Power System Benchmark Models. https://simbench.de  License: Open Database License (ODbL)

Used for: Low-voltage grid topology, cable and transformer parameters, node structure.

SciencePlots Visualization StylesGarrett, J. SciencePlots: Matplotlib styles for scientific figures. GitHub: https://github.com/garrettj403/SciencePlots  License: MIT

Used for: Matplotlib style configuration in reproduction scripts.

Identifier
DOI https://doi.org/10.48436/krdb5-dn585
Related Identifier IsDescribedBy https://doi.org/10.34726/hss.2025.133331
Related Identifier IsVersionOf https://doi.org/10.48436/056ke-e5118
Metadata Access https://researchdata.tuwien.ac.at/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:researchdata.tuwien.ac.at:krdb5-dn585
Provenance
Creator Buchmeier, Jakob ORCID logo
Publisher TU Wien
Contributor Buchmeier, Jakob; Sauter, Thilo; Benesch, Claudia; Wilker, Stefan
Publication Year 2026
Funding Reference Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie 04marky29 ROR 4875802 INFRADAPT
Rights Creative Commons Attribution 4.0 International; MIT License; https://creativecommons.org/licenses/by/4.0/legalcode; https://opensource.org/licenses/MIT
OpenAccess true
Contact tudata(at)tuwien.ac.at
Representation
Language English
Resource Type Dataset
Discipline Other